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WO2018159833A1 - Method for distinguishing cells, method for inspecting cancer, measurement device, device for inspecting cancer, and inspection program - Google Patents

Method for distinguishing cells, method for inspecting cancer, measurement device, device for inspecting cancer, and inspection program Download PDF

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Publication number
WO2018159833A1
WO2018159833A1 PCT/JP2018/008115 JP2018008115W WO2018159833A1 WO 2018159833 A1 WO2018159833 A1 WO 2018159833A1 JP 2018008115 W JP2018008115 W JP 2018008115W WO 2018159833 A1 WO2018159833 A1 WO 2018159833A1
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Prior art keywords
cell
discrimination
predetermined
cells
target cell
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French (fr)
Japanese (ja)
Inventor
宗彰 匹田
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Nikon Corp
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Nikon Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/65Raman scattering
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/02Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving viable microorganisms
    • C12Q1/04Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor

Definitions

  • the present invention relates to a cell discrimination method, a cancer inspection method, a measurement device, a cancer inspection device, and an inspection program.
  • the amount of at least one substance or bond selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the target cell is a measurement step of measuring a corresponding signal, and a determination step of determining whether the target cell is a non-epithelial cancer cell based on the measured signal.
  • the measuring apparatus comprises at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the target cell.
  • the test program includes at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the target cell. Based on a signal corresponding to the amount of binding, a determination process for determining whether the target cell is a non-epithelial cancer cell, and information on the result of the determination process, or the target cell is acquired.
  • the processing device performs an output process for outputting information on the presence or absence, the degree, or the possibility of metastasis of the cancer to be examined.
  • FIG. 1 is a conceptual diagram for explaining circulating cancer cells and epithelial-mesenchymal transition.
  • FIG. 2 is a conceptual diagram for explaining a configuration of a cancer inspection apparatus related to a cell discrimination method according to an embodiment.
  • FIG. 3 is a conceptual diagram illustrating a configuration of an information processing apparatus related to a cell discrimination method according to an embodiment.
  • FIG. 4 is a diagram for explaining a method of discriminating cells based on discrimination parameters.
  • FIG. 5 is a diagram showing the structure of the flow channel structure.
  • FIG. 6 is a diagram showing a flow of Raman measurement in the cancer testing method, (a) is a conceptual diagram showing a case where details are not held in the holding unit, and (b) is shown in the holding unit.
  • FIG. 7 is a diagram showing a flow of Raman measurement in the cancer testing method
  • (a) is a conceptual diagram showing a case where cells are not held in the holding unit
  • (b) is a diagram showing how the holding unit holds the cells.
  • FIG. 8 is a diagram showing the flow of Raman measurement in the cancer testing method, (a) is a conceptual diagram showing a case where all the holding parts are filled with cells that have undergone epithelial-mesenchymal transition, (B) is a conceptual diagram when the cells that have undergone epithelial-mesenchymal transition are released from the holding unit.
  • FIG. 8 is a diagram showing the flow of Raman measurement in the cancer testing method
  • (a) is a conceptual diagram showing a case where all the holding parts are filled with cells that have undergone epithelial-mesenchymal transition
  • (B) is a conceptual diagram when the cells that have undergone
  • FIG. 9 is a flowchart showing the flow of the cancer testing method.
  • FIG. 10 is a diagram for explaining a program related to a cancer testing method.
  • FIG. 11 is a diagram showing the measurement results of Raman scattered light for ovarian cancer cells.
  • FIG. 12 is a diagram showing the measurement results of Raman scattered light for ovarian cancer cells.
  • cell discrimination method includes cancer (carcinoma), sarcoma, blood tumor and other malignant tumors.
  • FIG. 1 is a conceptual diagram for explaining circulating cancer cells (CTC: Circulating Tumor Cell) and epithelial-mesenchymal transition (EMT).
  • CTC Circulating Tumor Cell
  • EMT epithelial-mesenchymal transition
  • Epithelial cells constitute an epithelium that covers the surface of an individual or an organ of an individual, and are usually polar and are arranged in contact with adjacent cells by intercellular bonding.
  • a tissue containing epithelial cells becomes cancerous, it usually becomes a malignant tumor having well-differentiated epithelial-like properties (arrow A1).
  • CTC circulating cancer cells
  • Circulating cancer cells include non-epithelial cancer cells in addition to epithelial cancer cells that circulate in the blood with epithelial-like properties.
  • Non-epithelial cancer cells include cells that have become non-epithelial non-epithelial-like properties due to epithelial-to-mesenchymal transition (arrow A2) from epithelial cancer cells. Then, after forming micrometastases in the blood vessels, it undergoes a mesenchymal epithelial transition and becomes highly differentiated, thereby playing a major role in metastasis of malignant tumors.
  • the cell discrimination method of this embodiment is for discriminating non-epithelial cancer cells, and in addition to the discrimination of cells contained in blood as described above, the purpose is to detect non-epithelial cancer cells. It can be used for various purposes.
  • FIG. 2 is a diagram illustrating a configuration of the measurement apparatus 100 used in the cell discrimination method of the present embodiment.
  • the measuring device 100 measures the spectrum of Raman scattered light.
  • the measuring device 100 includes a measuring unit 2 and an information processing device 40.
  • the measurement unit 2 includes an irradiation optical system 10, an objective optical system 20, a detection optical system 30, and a cell delivery system 80.
  • the irradiation optical system 10 includes a light source device 11, a galvano scanner 12, relay lenses 13a and 13b, and an optical mirror 14.
  • the objective optical system 20 includes an optical mirror 21, an objective lens 22, and a stage 23.
  • the cell delivery system 80 includes a container 81 for containing the cell conditioning solution S, a pump 82, a flow channel structure 90, and a collection container 83 for collecting the cells R.
  • the flow path structure 90 is placed on the stage 23.
  • the detection optical system 30 includes a dichroic mirror 31, relay lenses 32 a and 32 b, and a spectrometer 33. In FIG. 1, the irradiation light and the detection light are schematically shown using a one-dot chain line. Control of the pump 82 by the information processing apparatus 40 is schematically indicated by a broken-line arrow A3.
  • the configuration of the measuring device 100 is not particularly limited.
  • the cell delivery system 80 may be configured as an independently controlled system that is separate from the measurement apparatus 100.
  • the light source device 11 includes a laser oscillation device such as a semiconductor laser.
  • the wavelength of the light oscillated by the light source device 11 is not particularly limited as long as the spectrum of scattered light can be measured, but a wavelength of 532 nm, 785 nm, or the like can be appropriately used from the viewpoint of measurement sensitivity and the like.
  • Light emitted from the light source device 11 enters the galvano scanner 12.
  • the galvano scanner 12 includes a movable mirror (not shown) and the like, and scans by changing the emitting direction of the laser beam.
  • the light emitted from the galvano scanner 12 enters the relay lenses 13a and 13b.
  • the light that has passed through the relay lenses 13 a and 13 b is reflected by the optical mirror 14 and the dichroic mirror 31 and then enters the objective optical system 20.
  • the light incident on the objective optical system 20 is reflected by the optical mirror 21, refracted by the objective lens 22, and, as will be described in detail later, the cells held in the holding portion formed in the flow path in the flow path structure 90. Is incident on.
  • target cells C there are no particular limitations on the type, state, or the like of cells that are to be subjected to Raman measurement (hereinafter referred to as target cells C).
  • the target cell C is a cell contained in the blood of a living body, particularly human blood, and the target cell C is held in the middle of the flow channel while being perfused, and Raman measurement is performed. Determine whether it is circulating cancer cells, epithelial cancer cells, or non-cancerous cells in the blood.
  • the target cell C may be fixed with formalin or the like and Raman measurement may be performed.
  • the light scattered by the target cell C in the flow channel structure 90 is transmitted through the objective lens 22, reflected by the optical mirror 21, and enters the detection optical system 30.
  • the light incident on the detection optical system 30 passes through the dichroic mirror 31, passes through the relay lenses 32a and 32b, and enters the spectroscope 33.
  • the spectroscope 33 is configured to include a detector such as a grating or a CCD, and obtains the intensity for each wavelength by splitting the incident light. If the intensity
  • the spectroscope 33 is configured to include a detector such as a grating or a CCD, and obtains the intensity for each wavelength by splitting the incident light. If the intensity
  • the cell delivery system 80 controls the movement and retention of the target cell C flowing through the flow channel structure 90, while passing the cell suspension S containing the target cell C and the buffer solution, which has been put into the container 81, along the tube. And send it out.
  • the target cell C may contain non-epithelial cancer cells Cn and cells Ce other than non-epithelial cancer cells.
  • the target cell C is collected in the collection container 83 when it is detected that it is a non-epithelial cancer cell Cn after undergoing Raman measurement. In addition, it can set suitably about which cell is collect
  • FIG. 3 is a diagram illustrating the configuration of the information processing apparatus 40.
  • the information processing apparatus 40 includes an input unit 41, a display unit 42, a communication unit 43, a storage unit 44, and a control unit 50.
  • the control unit 50 includes a parameter calculation unit 51, a determination unit 52, a flow rate control unit 53, and an information output unit 54.
  • the input unit 41 is configured by an input device such as a keyboard and a touch panel, and receives input data including a numerical value as a reference when determining the target cell C using a determination parameter described later.
  • the input unit 41 stores the received input data in the storage unit 44 described later.
  • the input data may be acquired via the communication unit 43 described later.
  • the display unit 42 is configured by a display device such as a liquid crystal monitor, and based on the results of cell discrimination such as the number of epithelial and / or non-epithelial cancer cells, and the cell discrimination, tumor progression, malignancy
  • the information (hereinafter referred to as cancer analysis information) obtained by analyzing the prognosis and / or the possibility of metastasis (hereinafter referred to as cancer analysis) is displayed. Further, the display unit 42 appropriately displays a spectrum, a statistical value obtained from the spectrum, and the like.
  • the display unit 42 may be configured to print and output the determination result on a paper medium such as thermal paper.
  • the communication unit 43 is configured by a communication device that performs communication using a communication network such as the Internet, and transmits a determination result of cell discrimination and cancer analysis information, and transmits and receives necessary data as appropriate.
  • the storage unit 44 is configured by a non-volatile memory or the like, and performs a cell discrimination or a cancer analysis using a program that causes the control unit 50 to perform processing, measurement data output from the spectrometer 33, and discrimination parameters. The numerical value used as the reference for the is stored.
  • the control unit 50 is configured by a processing device such as a CPU, functions as a main body for controlling the measurement device 100, and executes a program mounted on the storage unit 44 or a storage medium (not shown), thereby determining the cell. Various processing such as calculation processing and output processing are performed.
  • the parameter calculation unit 51 of the control unit 50 calculates a discrimination parameter used for cell discrimination from the spectral spectrum of the measurement data stored in the storage unit 44.
  • the discrimination parameter of the present embodiment is a numerical value obtained by quantifying a signal corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined amount of interatomic bonds, or a numerical value calculated from two or more of the signals. Cell discrimination can also be performed using a plurality of discrimination parameters.
  • the discrimination parameter is selected according to the type of cell to be measured, measurement conditions, and the like.
  • the predetermined amino acid an aromatic amino acid, particularly tryptophan and / or phenylalanine can be selected.
  • cytosine can be selected as the predetermined nucleobase.
  • the predetermined interatomic bond an interatomic bond that serves as an index of the amount of the organic compound in part or all of the target cell C can be selected.
  • the interatomic bond that serves as an index of the amount of the organic compound particularly, a bond between a plurality of atoms including carbon atoms, that is, a double bond and an amide bond between carbon atoms, a CH bond in a saturated hydrocarbon, or the like is selected. be able to.
  • a double bond between carbon atoms present in the porphyrin ring of cytochrome c can be selected as the predetermined interatomic bond.
  • a method for quantifying a signal corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined interatomic bond is not particularly limited, and various statistical values can be used.
  • the parameter calculation unit 51 can quantify the signal using the intensity of the wave number of the Stokes region of Raman scattered light corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined interatomic bond.
  • the parameter calculation unit 51 corresponds to an intensity of 749 / cm corresponding to tryptophan, an intensity of wave number 1003 / cm corresponding to phenylalanine, an intensity of 782 / cm corresponding to cytosine, a double bond or an amide bond between carbon atoms.
  • the parameter calculation unit 51 not only has the above-mentioned wave number intensity, but also an appropriate wave intensity according to a predetermined amino acid, a predetermined nucleobase, or a predetermined type of interatomic bond related to the calculation of the discrimination parameter. Can be calculated.
  • the parameter calculation unit 51 can quantify the signal using the maximum intensity, area, and the like of a peak corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined interatomic bond.
  • the parameter calculation unit 51 includes a peak including 749 / cm in the range of half width, a peak including 1003 / cm in the range of half width, a peak including 782 / cm in the range of half width, A peak including 1659 / cm in the range, a peak including 1583 / cm in the range of half width, or a peak including 1450 / cm in the range of half width, the maximum intensity, area, etc. are calculated and used as discrimination parameters.
  • the discrimination parameter can be calculated using these intensity values.
  • the parameter calculation unit 51 obtains the background by appropriately subtracting backgrounds such as noise and autofluorescence.
  • the parameter calculation unit 51 of the present embodiment calculates a single predetermined amino acid, a predetermined nucleobase, a predetermined amount of interatomic bond, or a parameter based on these amounts as a discrimination parameter.
  • a discrimination parameter is calculated by calculating a ratio between the amount of one predetermined amino acid, predetermined nucleobase or predetermined interatomic bond and the amount of other predetermined amino acid, predetermined nucleobase or predetermined interatomic bond. It can be.
  • the method for calculating the discrimination parameter is not particularly limited.
  • the parameter calculation unit 51 determines the ratio of the numerical value obtained by quantifying the peak size of the Raman spectrum corresponding to cytosine to the numerical value obtained by quantifying the peak size of the Raman spectrum corresponding to tryptophan. -1 (in the figure, it represented as "749cm -1 / 782cm -1") and.
  • the parameter calculation unit 51 of the present embodiment quantifies the Raman spectrum peak size corresponding to phenylalanine with respect to the numerical value obtained by quantifying the Raman spectrum peak size corresponding to the C—H bond of the saturated hydrocarbon.
  • the ratio of the numerical values is set as a discrimination parameter 1-2 (in the figure, expressed as “1003 cm ⁇ 1 / 1450 cm ⁇ 1 ”).
  • the discrimination parameter 1-1 and the discrimination parameter 1-2 are collectively referred to as a discrimination parameter 1.
  • the parameter calculation unit 51 of the present embodiment uses a double bond between carbon atoms or a numerical value obtained by quantifying the peak size of the Raman spectrum corresponding to the double bond between carbon atoms present in the porphyrin ring of cytochrome c. (in the figure, represented as "1583cm -1 / 1659cm -1") size determined ratio of a value obtained by quantifying the parameter 2 of the peak of the Raman spectrum corresponding to the amide bond to.
  • the determination unit 52 of the control unit 50 compares the determination parameter calculated by the parameter calculation unit 51 with a value that is stored in the storage unit 44 and serves as a reference for cell determination (hereinafter referred to as a determination reference value). Thus, it is determined whether the target cell C is a non-epithelial cancer cell, an epithelial cancer cell, or a non-cancerous cell.
  • the discrimination unit according to the present embodiment performs cell discrimination based on whether or not a point corresponding to the combination of the discrimination parameter 1 and the discrimination parameter 2 is included in the cell profile region mapped two-dimensionally based on the discrimination reference value. .
  • the discriminant reference value and the cell profile area indicate the reference value and range of the discriminant parameter that can be taken by non-epithelial cancer cells, epithelial cancer cells, and non-cancerous cells, respectively, based on past data.
  • Discrimination reference value and cell profile area are multivariate analysis of discriminant parameter values obtained by performing Raman measurement on non-epithelial cancer cells, epithelial cancer cells, and non-cancerous cells. It can be set by analyzing using.
  • the range of discrimination parameter values that can be taken by these cells is set based on the statistical values obtained by Raman measurement. For example, a parameter when the range is expressed in the form of an approximate function can be used as the discrimination reference value.
  • FIG. 4 is a conceptual diagram for explaining a method of discriminating the target cell C based on the discrimination parameter and the cell profile region 70.
  • FIG. 4 shows a graph with the discrimination parameter 1 on the horizontal axis and the discrimination parameter 2 on the vertical axis (hereinafter referred to as the discrimination graph 7).
  • the cell profile region 70 shown in the discrimination graph 7 includes a cell profile region 70a corresponding to non-epithelial cancer cells, a cell profile region 70b corresponding to epithelial cancer cells, and predetermined non-cancerous cells. Is provided with a cell profile region 70c.
  • the predetermined non-cancerous cells it is preferable to select non-cancerous cells contained in a large proportion in the cell suspension S.
  • the cell suspension S is a peripheral blood for discrimination of circulating cancer cells. Is obtained from the fraction obtained by centrifugation, it is preferable to set a cell profile region of peripheral blood mononuclear cells as the cell profile region 70c of the predetermined non-cancerous cell.
  • Four or more cell profile regions 70 may be set corresponding to various cells, and cell profile regions 70b and 70c of epithelial cancer cells and / or predetermined non-cancerous cells are provided. It may be omitted.
  • the point P1 corresponds to a non-epithelial cancer cell. It is classified as a cancer cell.
  • the target cell C is collected from blood or the like, the point P1 corresponds to a cancer cell that has undergone epithelial-mesenchymal transition.
  • the point P2 corresponds to an epithelial cancer cell. It is classified as a cancer cell.
  • the point P3 corresponds to a predetermined non-cancerous cell. Classified as non-cancerous cells.
  • the point P4 is an epithelial cancer cell, a non-epithelial cancer cell, Since it does not correspond to any of the non-cancerous cells, the target cell C is classified as not being these cells.
  • the above-described discrimination graph 7 is two-dimensional, it can be analyzed under any dimension using any number of discrimination parameters.
  • the discrimination reference value and the cell profile region 70 are set based on the type of cancer, the site, the gene involved, and the like.
  • the type or site of cancer can be cancer (carcinoma) or cancer of an organ in the body, for example, ovarian cancer.
  • the cell profile region 70 when the subject to be examined is an ovarian cancer patient, it is preferable to set the cell profile region 70 so as to detect cancer cells whose ovarian cancer has undergone epithelial-mesenchymal transition.
  • the “epithelial cancer cell” in the present embodiment is a cell that expresses one or more proteins selected from the group consisting of cytokeratin, EpCAM, and E-cadherin, and the “epithelial-mesenchymal cancer cell” is A cell that expresses vimentin and / or N-cadherin.
  • the flow rate control unit 53 (FIG. 3) of the control unit 50 controls the flow rate of the cell suspension S and phosphate buffered saline (hereinafter referred to as PBS), thereby moving the target cell C in the flow path. And the operation of separating the target cell based on the result of cell discrimination is controlled.
  • FIG. 5 is a conceptual diagram showing the structure of the flow path structure 90.
  • the channel structure 90 includes a cell channel 91, auxiliary channels 92a and 92b, holding portions 93a and 93b, bypass channels 94a and 94b, and a connecting portion 95.
  • the cell channel 91 is connected to the auxiliary channel 92a via the holding part 93a and the bypass channel 94a, and is connected to the auxiliary channel 92b via the holding part 93b and the bypass channel 94b.
  • the connection part 95 connects the flow path inside the flow path structure 90 and the external flow path.
  • the number of holding parts 93 can be set as appropriate. For example, when 20 ml of blood is collected from a person to be examined and the number of circulating cancer cells is examined, the stage is increased as the number of detected circulating cancer cells increases from 0 to several. Changes in cancer progression, malignancy, prognosis and / or metastatic potential.
  • the flow channel structure 90 may include only one holding portion 93, but preferably includes a plurality of holding portions 93.
  • the flow channel structure 90 is preferably provided with a plurality of cell flow channels 91 or two or more and ten or less holding portions 93 so that the flow channel is not too complicated. Thereby, cell discrimination can be performed efficiently.
  • PBS flows through the auxiliary flow paths 92a and 92b.
  • the direction in which the liquid flows inside the cell channel 91 and the auxiliary channels 92a and 92b is schematically indicated by solid line arrows A5, A6, and A7.
  • the flow rate of the liquid flowing through each of the cell flow channel 91 and the auxiliary flow channels 92a and 92b is independently controlled by the flow rate control unit 53.
  • the liquid flowing through the auxiliary flow paths 92a and 92b is not limited to PBS, but preferably has a temperature, osmotic pressure, and the like that are close to the buffer of the cell flow path 91 to the extent that the Raman measurement is not affected.
  • the holding portions 93a and 93b have an anti-ellipsoidal shape opened on the cell flow channel 91 side, but are not particularly limited as long as the flow of the cell flow channel 91 is not directly applied to the target cell C.
  • the width W and the depth L of the opening portions of the holding portions 93a and 93b that are in contact with the cell channel 91 are preferably 10 ⁇ m or more and 200 ⁇ m or less, and 20 ⁇ m or more and 100 ⁇ m or less so that the entire target cell C is accommodated and held. More preferably.
  • the tube diameters of the bypass circuits 94a and 94b are set smaller than the average width of the target cell C so as not to allow the target cell C to pass, and are preferably 0.1 ⁇ m or more and 20 ⁇ m or less.
  • FIG. 6A is a diagram showing a moving state of the target cell C when the cell channel 91 and the auxiliary channels 92a and 92b are set to flow at substantially the same speed.
  • non-epithelial cancer cells Cn and non-epithelial cancer cells Ce flow as target cells C.
  • the target cell C that flows through the cell flow path 91 advances along the cell flow path 91 without being attracted to the holding portions 93a and 93b because the flow rates in the cell flow path 91 and the auxiliary flow path 92 are substantially equal.
  • FIG. 6B is a diagram showing a moving state of the target cell C when the flow rate in the auxiliary flow path 92a is increased after the state of FIG. 6A.
  • a liquid with a larger flow velocity has a lower pressure
  • the target cell C1 is attracted to the holding portion 93a and held in contact with the side surface of the holding portion 93a.
  • the laser beam is irradiated while the target cell C1 is held, and Raman measurement and cell discrimination are performed.
  • FIG. 7 (a) is a diagram showing a moving state of the target cell C when the flow rate in the auxiliary flow path 92a is lowered after the state of FIG. 6 (b). This corresponds to a case where it is determined that the target cell C1 is not a non-epithelial cancer cell as a result of Raman measurement and cell discrimination performed on the target cell C1 in FIG. 6B.
  • the flow rate in the auxiliary channel 92a is lowered, and the cell channel 91 and the auxiliary channels 92a and 92b have substantially the same flow rate.
  • the target cell C ⁇ b> 1 held in the holding portion 93 a due to the flow velocity difference between the cell flow channel 91 and the auxiliary flow channel 92 moves away from the holding portion 93 a and travels along the cell flow channel 91.
  • FIG. 7B is a diagram showing a moving state of the target cell C when the flow rate in the auxiliary flow path 92a is increased after the state of FIG. 7A.
  • a liquid having a higher flow velocity has a lower pressure, and thus the target cell Cn is attracted to the holding portion 93a and held in contact with the side surface of the holding portion 93a.
  • the laser light is irradiated while the target cell Cn is held, and Raman measurement and cell discrimination are performed.
  • the target cell Cn is held in the holding unit 93a until the cell suspension S is completely poured.
  • the measuring apparatus 100 may include a plurality of irradiation units that irradiate light independently to each of the plurality of holding units 93, such as the holding unit 93a and the holding unit 93b. Thereby, a cell can be discriminated more efficiently.
  • the plurality of irradiation units may share a part of the irradiation optical system 10 or the objective optical system 20 of the measurement apparatus 100 as long as it has a plurality of irradiation ports.
  • FIG. 8A shows that both the holding portions 93a and 93b hold the non-epithelial cancer cells Cn, and all the cell suspensions S have been flown, and PBS has flowed into the cell channel 91. Indicates the state. Since the auxiliary flow paths 92a and 92b hold epithelial cancer cells Cn, PBS flows at a higher flow rate than the cell flow path 91.
  • FIG. 8B is a diagram showing a state of movement of epithelial cancer cells Cn when the flow velocity in the auxiliary flow channels 92a and 92b is lowered after FIG. 8A.
  • the flow velocity in the auxiliary flow channels 92a and 92b is lowered, and the flow velocity is substantially equal in the cell flow channel 91 and the auxiliary flow channels 92a and 92b.
  • the target cell C1 held in the holding portions 93a and 93b due to the flow rate difference between the cell flow channel 91 and the auxiliary flow channel 92 is separated from the holding portion 93a and proceeds along the cell flow channel 91.
  • Non-epithelial cancer cells Cn are collected in the collection container 83 when they exit the flow channel structure 90.
  • the non-epithelial cancer cells Cn are separated and collected from other cell groups contained in the cell suspension S.
  • the algorithm for holding the target cell C, separating it, and collecting it is not limited to the method of the present embodiment, and can be appropriately designed according to the number of holding parts 93 required.
  • the information output unit 54 of the control unit 50 includes information that is a result of cell discrimination of each target cell C, the number that is determined as epithelial cancer cells Cn, the number that is determined as non-epithelial cancer cells, and the number A display image including the number of circulating cancer cells obtained by combining the two numbers is created and output to the display unit 42. Furthermore, the information output unit 54 creates a display image including cancer analysis information indicating the degree of progression, malignancy, prognosis, and / or metastasis potential of the tumor, and outputs the display image to the display unit 42.
  • the measuring device 100 can also be a cancer testing device.
  • FIG. 9 is a flowchart showing a flow of a cancer testing method including the cell discrimination method of the present embodiment.
  • step S1001 blood is collected from an individual to be examined by a medical worker or the like.
  • step S1001 ends, the process proceeds to step S1003.
  • step S1003 the cell suspension S containing a part of cells estimated to contain circulating cancer cells is adjusted using centrifugation or the like from the blood collected in step S1001.
  • step S1003 ends, the process proceeds to step S1005.
  • step S1005 the cell suspension S prepared in step S1003 is caused to flow through the flow path, and the flow rate control unit 53 temporarily holds and holds the target cell in the vacant holding unit 93 of the cell flow path 91.
  • the Raman spectrum of the target cell C obtained is acquired.
  • step S1005 ends, the process proceeds to step S1007.
  • step S1007 the parameter calculation unit 51 determines the amount of at least one substance or bond selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in the Raman spectrum acquired in step S1005.
  • a discrimination parameter is calculated from the signal.
  • step S1007 ends, the process proceeds to step S1009.
  • step S1009 the determination unit 52 determines whether the temporarily retained target cell C is a non-epithelial cancer cell Cn, an epithelial cancer cell, or a non-cancerous cell based on the determination parameter. I do.
  • step S1009 ends, the process proceeds to step S1011.
  • step S1011 the control unit 50 determines whether or not the target cell C is determined as a non-epithelial cancer cell in step S1009. If it is determined as a non-epithelial cancer cell, a negative determination is made in step S1011 and the process proceeds to step S1019. If it is determined as a non-epithelial cancer cell, an affirmative determination is made in step S1011 and the process proceeds to step S1013.
  • step S1019 the flow rate control unit 53 adjusts the flow rate difference between the cell flow path 91 and the auxiliary flow path 92, and temporarily holds the target cell that is determined not to be a non-epithelial cancer cell. C is released from the holding unit 93.
  • step S1019 ends, the process proceeds to step S1013.
  • step S1013 the control unit 50 determines whether or not all of the cell suspension S has been poured. When the flow of the cell suspension S is not finished, a negative determination is made in step S1013, and the process returns to step S1005. When the cell suspension S has been poured, an affirmative decision is made in step S1013 and the process proceeds to step S1015.
  • step S1015 the control unit 50 opens the epithelial cancer cells Cn held in the holding unit 93 to the cell flow channel 91, and separates them from other cell groups in the cell suspension S and collects them.
  • step S1017 the information output unit 54 displays information on the degree of progression, malignancy, prognosis, and / or metastasis of the tumor to be examined from which the target cells C have been collected on the display unit 42.
  • the cell discrimination method of this embodiment measures a signal corresponding to at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond, or the amount of binding.
  • the target cell C is a cell contained in blood of a living body, and in the discrimination step, the target cell C is circulated including non-epithelial cancer cells Cn. To determine whether it is a cancer cell or a non-cancerous cell in the blood. Thereby, the number of circulating cancer cells can be accurately calculated.
  • the discrimination step determines whether the target cell C is an epithelial cancer cell or a cell Cn in which the epithelial cancer cell is epithelial-mesenchymal transition. Do. Thereby, information about whether or not non-epithelial cells Cn indicating the prognosis of the tumor such as the possibility of metastasis can be obtained accurately.
  • the target cell C is a cell collected from an ovarian cancer patient, and the epithelial cancer cell is an ovarian cancer cell. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell.
  • a signal corresponding to the amount of aromatic amino acid is measured. This makes it possible to accurately determine whether the target cell C is a non-epithelial cancer cell that is associated with the amount of aromatic amino acid.
  • a signal corresponding to the amount of tryptophan and / or phenylalanine is measured. This makes it possible to accurately determine whether the target cell C is a non-epithelial cancer cell that is associated with the amount of tryptophan and / or phenylalanine.
  • a signal corresponding to the amount of cytosine is measured in the measurement step. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell associated with the amount of cytosine.
  • a signal corresponding to the amount of bonds between a plurality of atoms including carbon atoms is measured. This makes it possible to accurately determine whether or not the target cell C is a non-epithelial cancer cell that is associated with the amount of bonds between a plurality of atoms including carbon atoms.
  • a signal corresponding to the amount of double bonds between carbon atoms in the porphyrin ring of cytochrome c is measured. This makes it possible to accurately determine whether or not the cancer cell is a non-epithelial cancer cell that is associated with the amount of bonds between a plurality of atoms including carbon atoms.
  • the discrimination parameter in the measurement step, a signal corresponding to the amount of the organic compound in part or all of the target cell C is measured.
  • the discrimination parameter can be normalized by the amount of the organic compound, etc., and it can be more accurately discriminated whether it is a non-epithelial cancer cell.
  • the measurement step corresponds to at least two substances selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond, or the amount of binding.
  • a signal is measured, and in the discrimination step, a ratio between the amount of one substance or bond and the amount of another substance or bond is calculated, and the target cell C is discriminated based on one or more of the ratios. . Accordingly, it is possible to accurately determine whether or not the cancer cell is a non-epithelial cancer cell by appropriately combining the determination parameters.
  • the cancer inspection apparatus or cancer inspection method of this embodiment determines whether the target cell C is a non-epithelial cancer cell Cn by the cell determination method of this embodiment. Based on the result of this determination, information on the presence, degree, or metastasis potential of the cancer to be examined is provided. Thereby, non-epithelial cancer cells can be accurately identified, and accurate information on the current prognosis of cancer can be provided.
  • the measurement apparatus outputs an information output that outputs a determination result obtained by determining whether the target cell C is a non-epithelial cancer cell based on the signal measured in the measurement step. A part. As a result, it is possible to provide a result of accurately discriminating non-epithelial cancer cells.
  • the measurement device of this embodiment includes a cell channel 91 in which the target cell C moves, a holding unit 93 that is connected to the cell channel 91 and holds a part of the target cells, and emits light to the holding unit 93.
  • An objective optical system 20 for irradiation Thereby, it is possible to accurately determine whether or not the cells contained in the cell suspension S are non-epithelial cancer cells sequentially.
  • the measurement device of the present embodiment includes a flow rate control unit that controls an operation of separating the target cell C based on the discrimination result of the cell discrimination.
  • the target cell is a non-epithelial cancer cell, an epithelial cancer cell, or Although it is discriminated whether it is a non-cancerous cell, a cell discrimination method, a cancer inspection apparatus or a cancer inspection method, and a measurement apparatus that only determine whether it is a non-epithelial cancer cell are also included in the present invention. Is included.
  • Module 1 A program for realizing the information processing function of the information processing apparatus 40 according to the present embodiment is recorded on a computer-readable recording medium, and the above-described determination parameter calculation processing, determination processing, and the like recorded on the recording medium
  • the program may be read into a computer system and executed.
  • the “computer system” includes an OS (Operating System) and hardware of peripheral devices.
  • the “computer-readable recording medium” refers to a portable recording medium such as a flexible disk, a magneto-optical disk, an optical disk, and a memory card, and a storage device such as a hard disk built in the computer system.
  • the “computer-readable recording medium” dynamically holds a program for a short time like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line.
  • a volatile memory in a computer system serving as a server or a client in that case may be included and a program that holds a program for a certain period of time may be included.
  • the above program may be for realizing a part of the functions described above, or may be realized by a combination with the program already recorded in the computer system. .
  • FIG. 10 is a diagram showing this state.
  • the PC 950 is provided with a program via the CD-ROM 953. Further, the PC 950 has a connection function with the communication line 951.
  • a computer 952 is a server computer that provides the program, and stores the program in a recording medium such as a hard disk.
  • the communication line 951 is a communication line such as the Internet or PC communication, or a dedicated communication line.
  • the computer 952 reads the program using the hard disk and transmits the program to the PC 950 via the communication line 951. That is, the program is transmitted as a data signal by a carrier wave and transmitted via the communication line 951.
  • the program can be supplied as a computer-readable computer program product in various forms such as a recording medium and a carrier wave.
  • the inspection program according to the present modified example is based on a signal corresponding to at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond, or the amount of binding.
  • a discrimination process for discriminating between a non-epithelial cancer cell Cn, an epithelial cancer cell or a non-cancerous cell, information on the result of the discrimination process, or a test object from which the target cell C has been acquired causes the processing device to perform output processing that outputs information about the presence, degree, or metastasis potential of cancer. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell.
  • Example 2 Measure the Raman distribution of cultured ovarian cancer cells, cells that induce epithelial-mesenchymal transition by adding an epithelial-mesenchymal transition-inducing reagent to these cultured ovarian cancer cells, and determine the distribution of discriminating parameters. Plotted for each cell.
  • Example 1 Cells obtained by inducing epithelial-mesenchymal transition obtained as described above, cultured ovarian cancer cells (OVCAR-3), and peripheral blood mononuclear cells (Lonza) were fixed using paraffin, and specimens Then, a known deparaffinization treatment was performed. A rough region for light irradiation is set for a sample subjected to deparaffinization treatment, the region is divided into several unit regions, and a laser having a wavelength of 532 nm having a beam diameter of about 1 ⁇ m for each unit region. Irradiated with light, the Raman scattered light was measured.
  • the spectra acquired for each unit region were averaged, and peaks corresponding to glass and autofluorescence were removed by a known algorithm.
  • the determination method of cell of the present embodiment the Stokes scattering zone, the ratio of the intensity of 749 / cm, corresponding to a tryptophan, to the intensity of the corresponding 782 / cm to cytosine (in the figure "749cm -1 / 782cm -1": The discrimination parameter 1-1) was calculated.
  • FIG. 11 is a graph showing the discrimination parameter 1-1 of each cell on the horizontal axis and the discrimination parameter 2 on the vertical axis.
  • the respective data of cultured ovarian cancer cells (OVCAR-3), cultured epithelial-mesenchymal transition (EMT) -induced cultured ovarian cancer cells, and peripheral blood mononuclear cells are divided into clusters. From the measurement values given as shown in FIG. 11, various determination reference values and cell profile regions are determined based on the centroid of the data distribution corresponding to each cell by the multivariate analysis method, the distance of each point from the centroid, and the like. Can be set in various ways.
  • Example 2 The Raman spectrum obtained in Example 1 was further analyzed, and the C—H bond of saturated hydrocarbon having an intensity of 1003 / cm corresponding to phenylalanine in the Stokes scattering region was determined by the cell discrimination method of the present embodiment. ratio intensity of 1450 / cm to (in the figure "1003 cm -1 / 1450 cm -1 ': determining parameter 1-2) were calculated.
  • FIG. 12 is a graph showing the discrimination parameter 1-2 for each cell on the horizontal axis and the discrimination parameter 2 on the vertical axis.
  • EMT Epithelial-mesenchymal transition
  • OVCAR-3 cultured ovarian cancer cells
  • peripheral blood mononuclear cells are separated into clusters.
  • point D in the figure is a point for cultured ovarian cancer cells, but is located closer to a cluster of peripheral blood mononuclear cells than a cluster of cultured ovarian cancer cells.
  • the target cell C is a non-epithelial cancer cell or a cultured ovarian cancer cell or a peripheral blood cell. It is considered that the accuracy is higher than that of determining whether the cell is a nuclear cell.
  • the present invention is not limited to the contents of the above embodiment.
  • Other embodiments conceivable within the scope of the technical idea of the present invention are also included in the scope of the present invention.
  • DESCRIPTION OF SYMBOLS 40 Information processing apparatus 50 ... Control part 51 ... Parameter calculation part 52 ... Discrimination part 53 ... Flow rate control part 54 ... Information output part 70, 70a, 70b, 70c ... Cell profile area

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Abstract

This method for distinguishing cells is provided with: a measurement step for measuring a signal that corresponds to the substance or the amount of bonds in one or more selected from the group consisting of prescribed amino acids, prescribed nucleic acid bases, and prescribed inter-atom bonds in some or all target cells; and a distinguishing step for distinguishing, on the basis of the measured signal, whether the target cells are non-epithelial cancer cells.

Description

細胞の判別方法、がんの検査方法、計測装置、がんの検査装置および検査プログラムCell discrimination method, cancer inspection method, measuring device, cancer inspection device, and inspection program

 本発明は、細胞の判別方法、がんの検査方法、計測装置、がんの検査装置および検査プログラムに関する。 The present invention relates to a cell discrimination method, a cancer inspection method, a measurement device, a cancer inspection device, and an inspection program.

 生体組織等からの光を解析することにより、当該生体組織等にがん化した部位があるか否かを調べる検査方法が提案されている(特許文献1参照)。精密ながん検査のために、組織や細胞からの光をより適切なパラメータに基づいて解析することが望ましい。 An examination method has been proposed in which light from a living tissue or the like is analyzed to check whether or not there is a cancerous part in the living tissue or the like (see Patent Document 1). For precise cancer testing, it is desirable to analyze light from tissues and cells based on more appropriate parameters.

日本国特表第2009-538156号Japan Special Table 2009-538156

 本発明の第1の態様によると、対象細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号を計測する計測工程と、計測された前記信号に基づいて、前記対象細胞が、非上皮系のがん細胞か否か判別する判別工程と、を備える。
 本発明の第2の態様によると、計測装置は、対象細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号を計測する計測部と、測定された前記信号に基づいて、前記対象細胞が、非上皮系のがん細胞か否かの判別を行った判別結果を出力する情報出力部と、を備える。
 本発明の第3の態様によると、検査プログラムは、対象細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号に基づいて、前記対象細胞が、非上皮系のがん細胞か否かの判別を行う判別処理と、前記判別処理の結果についての情報、または前記対象細胞が取得された検査対象のがんの有無、程度または転移可能性についての情報を出力する出力処理を処理装置に行わせる。
According to the first aspect of the present invention, the amount of at least one substance or bond selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the target cell. A measurement step of measuring a corresponding signal, and a determination step of determining whether the target cell is a non-epithelial cancer cell based on the measured signal.
According to the second aspect of the present invention, the measuring apparatus comprises at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the target cell. An information output that outputs a determination result obtained by determining whether or not the target cell is a non-epithelial cancer cell based on the measured signal and a measurement unit that measures a signal corresponding to the amount of binding A section.
According to the third aspect of the present invention, the test program includes at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the target cell. Based on a signal corresponding to the amount of binding, a determination process for determining whether the target cell is a non-epithelial cancer cell, and information on the result of the determination process, or the target cell is acquired. The processing device performs an output process for outputting information on the presence or absence, the degree, or the possibility of metastasis of the cancer to be examined.

図1は、循環がん細胞と上皮間葉転換について説明するための概念図である。FIG. 1 is a conceptual diagram for explaining circulating cancer cells and epithelial-mesenchymal transition. 図2は、一実施形態の細胞の判別方法に関するがんの検査装置の構成を説明するための概念図である。FIG. 2 is a conceptual diagram for explaining a configuration of a cancer inspection apparatus related to a cell discrimination method according to an embodiment. 図3は、一実施形態の細胞の判別方法に関する情報処理装置の構成を示す概念図である。FIG. 3 is a conceptual diagram illustrating a configuration of an information processing apparatus related to a cell discrimination method according to an embodiment. 図4は、判別パラメータに基づいて細胞の判別を行う方法を説明するための図である。FIG. 4 is a diagram for explaining a method of discriminating cells based on discrimination parameters. 図5は、流路構造体の構造を示す図である。FIG. 5 is a diagram showing the structure of the flow channel structure. 図6は、がんの検査方法におけるラマン測定の流れを示す図であり、(a)は、保持部に細部が保持されていない場合を示す概念図であり、(b)は、保持部に細胞を保持している場合の概念図である。FIG. 6 is a diagram showing a flow of Raman measurement in the cancer testing method, (a) is a conceptual diagram showing a case where details are not held in the holding unit, and (b) is shown in the holding unit. It is a conceptual diagram in case the cell is hold | maintained. 図7は、がんの検査方法におけるラマン測定の流れを示す図であり、(a)は、保持部に細胞が保持されていない場合を示す概念図であり、(b)は、保持部に上皮間葉転換された細胞を保持している場合の概念図である。FIG. 7 is a diagram showing a flow of Raman measurement in the cancer testing method, (a) is a conceptual diagram showing a case where cells are not held in the holding unit, and (b) is a diagram showing how the holding unit holds the cells. It is a conceptual diagram in the case of holding cells that have undergone epithelial-mesenchymal transition. 図8は、がんの検査方法におけるラマン測定の流れを示す図であり、(a)は、全ての保持部が上皮間葉転換された細胞で満たされている場合を示す概念図であり、(b)は、保持部から上皮間葉転換された細胞を解放した場合の概念図である。FIG. 8 is a diagram showing the flow of Raman measurement in the cancer testing method, (a) is a conceptual diagram showing a case where all the holding parts are filled with cells that have undergone epithelial-mesenchymal transition, (B) is a conceptual diagram when the cells that have undergone epithelial-mesenchymal transition are released from the holding unit. 図9は、がんの検査方法の流れを示すフローチャートである。FIG. 9 is a flowchart showing the flow of the cancer testing method. 図10は、がんの検査方法に関するプログラムを説明するための図である。FIG. 10 is a diagram for explaining a program related to a cancer testing method. 図11は、卵巣がん細胞についての、ラマン散乱光の測定結果を示す図である。FIG. 11 is a diagram showing the measurement results of Raman scattered light for ovarian cancer cells. 図12は、卵巣がん細胞についての、ラマン散乱光の測定結果を示す図である。FIG. 12 is a diagram showing the measurement results of Raman scattered light for ovarian cancer cells.

 以下では、適宜図面を参照しながら、一実施形態の細胞の判別方法、がんの検査方法、計測装置、がんの検査装置および検査プログラム等について説明する。本実施形態の細胞の判別方法では、細胞からの光を測定し、測定結果に基づいて、当該細胞が非上皮系のがん細胞か、それとも、上皮系のがん細胞または非がん化細胞かの判別(以下、「細胞判別」と呼ぶ)を行う。
 なお、本実施形態において、「がん」とは、癌(癌腫)、肉腫、血液腫瘍およびその他の悪性腫瘍を含む。
Hereinafter, a cell discrimination method, a cancer inspection method, a measurement device, a cancer inspection device, an inspection program, and the like according to an embodiment will be described with reference to the drawings as appropriate. In the cell discrimination method of the present embodiment, light from a cell is measured, and based on the measurement result, the cell is a non-epithelial cancer cell, or an epithelial cancer cell or a non-cancerous cell. (Hereinafter referred to as “cell discrimination”).
In the present embodiment, “cancer” includes cancer (carcinoma), sarcoma, blood tumor and other malignant tumors.

 図1は、循環がん細胞(CTC:Circulating Tumor Cell)および上皮間葉転換(EMT:Epithelial Mesenchymal Transition)を説明するための概念図である。上皮細胞は、個体や個体の臓器等の表面を覆う上皮を構成し、通常、極性が有り、細胞間結合により隣り合う細胞と接しながら配列している。上皮細胞を含む組織ががん化すると、通常、高分化型の上皮様の性質を有する悪性腫瘍となる(矢印A1)。 FIG. 1 is a conceptual diagram for explaining circulating cancer cells (CTC: Circulating Tumor Cell) and epithelial-mesenchymal transition (EMT). Epithelial cells constitute an epithelium that covers the surface of an individual or an organ of an individual, and are usually polar and are arranged in contact with adjacent cells by intercellular bonding. When a tissue containing epithelial cells becomes cancerous, it usually becomes a malignant tumor having well-differentiated epithelial-like properties (arrow A1).

 悪性腫瘍が大きくなると、例えば浸潤により血管壁を損傷し、血液に接したがん細胞が、悪性腫瘍から分離して血液中を循環することがある。この血液中を循環するがん細胞は循環がん細胞(CTC)と呼ばれ、血液中の単位体積当たりの数等の検査により、当該腫瘍の進行度、悪性度、予後および/または転移可能性についての情報を得ることができる。 When a malignant tumor becomes large, for example, the blood vessel wall is damaged by infiltration, and cancer cells in contact with blood may be separated from the malignant tumor and circulate in the blood. The cancer cells circulating in the blood are called circulating cancer cells (CTC), and the degree of progression, malignancy, prognosis and / or metastasis of the tumor can be determined by examining the number per unit volume in the blood. You can get information about.

 循環がん細胞は、上皮様の性質を有したまま血液中を循環する上皮系のがん細胞に加え非上皮系のがん細胞を含む。非上皮系のがん細胞には、上皮系のがん細胞から上皮間葉転換(矢印A2)により低分化型の非上皮様の性質を有するようになった細胞が含まれ、血流から離脱し血管内に微小転移巣を形成した後、間葉上皮転換を起こして高分化型となることにより、悪性腫瘍の転移において大きな役割を果たす。 Circulating cancer cells include non-epithelial cancer cells in addition to epithelial cancer cells that circulate in the blood with epithelial-like properties. Non-epithelial cancer cells include cells that have become non-epithelial non-epithelial-like properties due to epithelial-to-mesenchymal transition (arrow A2) from epithelial cancer cells. Then, after forming micrometastases in the blood vessels, it undergoes a mesenchymal epithelial transition and becomes highly differentiated, thereby playing a major role in metastasis of malignant tumors.

 従って、血液中の循環がん細胞の検査の際、上皮系のがん細胞に加え、生化学的マーカーの異なる非上皮系のがん細胞をもより確実に検出することが悪性腫瘍の程度と転移可能性等の予後とについての情報を得るために重要である。本実施形態の細胞の判別方法は非上皮系のがん細胞を判別するものであり、上記のような血液に含まれる細胞の判別に加え、非上皮系のがん細胞の検出を目的とした様々な用途に用いられ得るものである。 Therefore, when examining circulating cancer cells in the blood, in addition to epithelial cancer cells, non-epithelial cancer cells with different biochemical markers can be detected more reliably. It is important to obtain information about prognosis such as the possibility of metastasis. The cell discrimination method of this embodiment is for discriminating non-epithelial cancer cells, and in addition to the discrimination of cells contained in blood as described above, the purpose is to detect non-epithelial cancer cells. It can be used for various purposes.

 図2は、本実施形態の細胞の判別方法に用いられる計測装置100の構成を示す図である。本実施形態において、計測装置100は、ラマン散乱光の分光スペクトルを測定する。計測装置100は、測定部2と、情報処理装置40とを備える。測定部2は、照射光学系10と、対物光学系20と、検出光学系30と、細胞送出系80を備える。照射光学系10は、光源装置11と、ガルバノスキャナ12と、リレーレンズ13a、13bと、光学ミラー14とを備える。対物光学系20は、光学ミラー21と、対物レンズ22と、ステージ23とを備える。細胞送出系80は、細胞調整液Sを入れる容器81と、ポンプ82と、流路構造体90と、細胞Rを回収する回収容器83とを備える。流路構造体90は、ステージ23に載置されている。検出光学系30は、ダイクロイックミラー31と、リレーレンズ32a、32bと、分光器33とを備える。図1では、照射光および検出光を1点鎖線を用いて模式的に示した。情報処理装置40によるポンプ82の制御を破線矢印A3で模式的に示した。
 なお、図1では後方散乱された光を解析する構成になっているが、前方散乱された光を解析する構成にしてもよい。流路構造体90からの光から解析可能な分光スペクトルが得られれば、計測装置100の構成は特に限定されない。細胞送出系80は、計測装置100とは別個の、独立に制御される系として構成してもよい。
FIG. 2 is a diagram illustrating a configuration of the measurement apparatus 100 used in the cell discrimination method of the present embodiment. In the present embodiment, the measuring device 100 measures the spectrum of Raman scattered light. The measuring device 100 includes a measuring unit 2 and an information processing device 40. The measurement unit 2 includes an irradiation optical system 10, an objective optical system 20, a detection optical system 30, and a cell delivery system 80. The irradiation optical system 10 includes a light source device 11, a galvano scanner 12, relay lenses 13a and 13b, and an optical mirror 14. The objective optical system 20 includes an optical mirror 21, an objective lens 22, and a stage 23. The cell delivery system 80 includes a container 81 for containing the cell conditioning solution S, a pump 82, a flow channel structure 90, and a collection container 83 for collecting the cells R. The flow path structure 90 is placed on the stage 23. The detection optical system 30 includes a dichroic mirror 31, relay lenses 32 a and 32 b, and a spectrometer 33. In FIG. 1, the irradiation light and the detection light are schematically shown using a one-dot chain line. Control of the pump 82 by the information processing apparatus 40 is schematically indicated by a broken-line arrow A3.
In addition, although it has the structure which analyzes the backscattered light in FIG. 1, you may make it the structure which analyzes the light scattered forward. If the spectroscopic spectrum which can be analyzed from the light from the flow path structure 90 is obtained, the configuration of the measuring device 100 is not particularly limited. The cell delivery system 80 may be configured as an independently controlled system that is separate from the measurement apparatus 100.

 光源装置11は、半導体レーザ等のレーザ発振装置等を含んで構成される。光源装置11が発振する光の波長は、散乱光の分光スペクトルが測定可能なら特に限定されないが、測定感度等の観点から適宜532nm、785nm等の波長を用いることができる。光源装置11から出射された光は、ガルバノスキャナ12に入射する。 The light source device 11 includes a laser oscillation device such as a semiconductor laser. The wavelength of the light oscillated by the light source device 11 is not particularly limited as long as the spectrum of scattered light can be measured, but a wavelength of 532 nm, 785 nm, or the like can be appropriately used from the viewpoint of measurement sensitivity and the like. Light emitted from the light source device 11 enters the galvano scanner 12.

 ガルバノスキャナ12は、不図示の可動ミラー等を含んで構成され、レーザ光の出射方向を変化させ走査させる。ガルバノスキャナ12を出射した光は、リレーレンズ13aおよび13bに入射する。リレーレンズ13a、13bを通過した光は光学ミラー14、ダイクロイックミラー31で反射された後、対物光学系20に入射する。 The galvano scanner 12 includes a movable mirror (not shown) and the like, and scans by changing the emitting direction of the laser beam. The light emitted from the galvano scanner 12 enters the relay lenses 13a and 13b. The light that has passed through the relay lenses 13 a and 13 b is reflected by the optical mirror 14 and the dichroic mirror 31 and then enters the objective optical system 20.

 対物光学系20に入射した光は、光学ミラー21で反射され、対物レンズ22で屈折され、後に詳述するように、流路構造体90における流路に形成された保持部に保持された細胞に入射する。 The light incident on the objective optical system 20 is reflected by the optical mirror 21, refracted by the objective lens 22, and, as will be described in detail later, the cells held in the holding portion formed in the flow path in the flow path structure 90. Is incident on.

 ラマン測定の対象となる細胞(以下、対象細胞Cと呼ぶ)の種類や状態等は、特に限定されない。本実施形態では、対象細胞Cは、生体、特に人間の血液に含まれる細胞とし、対象細胞Cを灌流しながら流路の途中で保持してラマン測定を行い、その結果から、対象細胞Cが、循環がん細胞か、上皮系のがん細胞または血液中の非がん化細胞かの判別を行う。
 なお、対象細胞Cをホルマリン等で固定してラマン測定を行ってもよい。
There are no particular limitations on the type, state, or the like of cells that are to be subjected to Raman measurement (hereinafter referred to as target cells C). In this embodiment, the target cell C is a cell contained in the blood of a living body, particularly human blood, and the target cell C is held in the middle of the flow channel while being perfused, and Raman measurement is performed. Determine whether it is circulating cancer cells, epithelial cancer cells, or non-cancerous cells in the blood.
In addition, the target cell C may be fixed with formalin or the like and Raman measurement may be performed.

 流路構造体90にある対象細胞Cで散乱された光は、対物レンズ22を透過して光学ミラー21で反射され、検出光学系30に入射する。 The light scattered by the target cell C in the flow channel structure 90 is transmitted through the objective lens 22, reflected by the optical mirror 21, and enters the detection optical system 30.

 検出光学系30に入射した光は、ダイクロイックミラー31を透過してリレーレンズ32a、32bを透過し、分光器33に入射する。分光器33は、グレーティングやCCD等の検出器等を含んで構成され、入射した光を分光して波長ごとの強度を取得する。分光器33で波長ごとの強度が取得されたら、当該強度等のデータは情報処理装置40に出力(図2の実線矢印A4で情報の流れを示した)され、後述の記憶部44に記憶される。 The light incident on the detection optical system 30 passes through the dichroic mirror 31, passes through the relay lenses 32a and 32b, and enters the spectroscope 33. The spectroscope 33 is configured to include a detector such as a grating or a CCD, and obtains the intensity for each wavelength by splitting the incident light. If the intensity | strength for every wavelength is acquired with the spectrometer 33, the data, such as the said intensity | strength, will be output to the information processing apparatus 40 (the solid line arrow A4 of FIG. 2 showed the flow of information), and will be memorize | stored in the memory | storage part 44 mentioned later. The

 細胞送出系80は、流路構造体90を流れる対象細胞Cの移動、保持を制御しながら、容器81に投入された、対象細胞Cと緩衝液とを含む細胞懸濁液Sを管に沿って送出する。容器81では、対象細胞Cには、非上皮系のがん細胞Cnと非上皮系のがん細胞以外の細胞Ceが含まれている可能性が有る。対象細胞Cはラマン測定を受けた後、非上皮系のがん細胞Cnであることが検出されたら回収容器83に回収される。
 なお、ラマン測定の結果を受けて、どの細胞を回収するかについては、適宜設定することができる。
The cell delivery system 80 controls the movement and retention of the target cell C flowing through the flow channel structure 90, while passing the cell suspension S containing the target cell C and the buffer solution, which has been put into the container 81, along the tube. And send it out. In the container 81, the target cell C may contain non-epithelial cancer cells Cn and cells Ce other than non-epithelial cancer cells. The target cell C is collected in the collection container 83 when it is detected that it is a non-epithelial cancer cell Cn after undergoing Raman measurement.
In addition, it can set suitably about which cell is collect | recovered based on the result of a Raman measurement.

 図3は、情報処理装置40の構成を示した図である。情報処理装置40は、入力部41と、表示部42と、通信部43と、記憶部44と、制御部50とを備える。制御部50は、パラメータ算出部51と、判別部52と、流速制御部53と、情報出力部54とを備える。 FIG. 3 is a diagram illustrating the configuration of the information processing apparatus 40. The information processing apparatus 40 includes an input unit 41, a display unit 42, a communication unit 43, a storage unit 44, and a control unit 50. The control unit 50 includes a parameter calculation unit 51, a determination unit 52, a flow rate control unit 53, and an information output unit 54.

 入力部41は、キーボードやタッチパネル等の入力装置により構成され、後述する判別パラメータを用いて対象細胞Cの判別を行う際の基準となる数値等を含む入力データを受け付ける。入力部41は、受け付けた入力データを、後述の記憶部44に記憶させる。
 なお、入力データは、後述の通信部43を介して取得してもよい。
The input unit 41 is configured by an input device such as a keyboard and a touch panel, and receives input data including a numerical value as a reference when determining the target cell C using a determination parameter described later. The input unit 41 stores the received input data in the storage unit 44 described later.
The input data may be acquired via the communication unit 43 described later.

 表示部42は、液晶モニタ等の表示装置により構成され、上皮系および/または非上皮系のがん細胞の数等の細胞判別の結果や、細胞判別に基づいて、腫瘍の進行度、悪性度、予後および/または転移可能性について分析(以下、がん分析と呼ぶ)を行った情報(以下、がん分析情報と呼ぶ)を表示する。また、表示部42は、分光スペクトルや当該分光スペクトルから得た統計値等を適宜表示する。
 なお、表示部42は、感熱紙等の紙媒体に判定結果等を印字して出力する構成にしてもよい。
The display unit 42 is configured by a display device such as a liquid crystal monitor, and based on the results of cell discrimination such as the number of epithelial and / or non-epithelial cancer cells, and the cell discrimination, tumor progression, malignancy The information (hereinafter referred to as cancer analysis information) obtained by analyzing the prognosis and / or the possibility of metastasis (hereinafter referred to as cancer analysis) is displayed. Further, the display unit 42 appropriately displays a spectrum, a statistical value obtained from the spectrum, and the like.
The display unit 42 may be configured to print and output the determination result on a paper medium such as thermal paper.

 通信部43は、インターネット等の通信網を利用して通信を行う通信装置により構成され、細胞判別の判定結果やがん分析情報を送信したり、適宜必要なデータを送受信する。記憶部44は、不揮発性メモリ等により構成され、制御部50に処理を行わせるプログラム、分光器33から出力された測定データ、ならびに、判別パラメータを用いて細胞の判別やがん分析を行う際の基準となる数値等を記憶する。 The communication unit 43 is configured by a communication device that performs communication using a communication network such as the Internet, and transmits a determination result of cell discrimination and cancer analysis information, and transmits and receives necessary data as appropriate. The storage unit 44 is configured by a non-volatile memory or the like, and performs a cell discrimination or a cancer analysis using a program that causes the control unit 50 to perform processing, measurement data output from the spectrometer 33, and discrimination parameters. The numerical value used as the reference for the is stored.

 制御部50は、CPU等の処理装置により構成され、計測装置100を制御する動作の主体として機能し、記憶部44または不図示の記憶媒体に搭載されているプログラムを実行することにより、細胞判別における計算処理、出力処理等の各種処理を行う。 The control unit 50 is configured by a processing device such as a CPU, functions as a main body for controlling the measurement device 100, and executes a program mounted on the storage unit 44 or a storage medium (not shown), thereby determining the cell. Various processing such as calculation processing and output processing are performed.

 制御部50のパラメータ算出部51は、記憶部44に記憶されている測定データの分光スペクトルから、細胞判別に用いる判別パラメータを算出する。本実施形態の判別パラメータは、所定のアミノ酸、所定の核酸塩基または所定の原子間結合の量に対応する信号を定量化した数値、または2以上の当該信号から算出される数値である。複数の判別パラメータを用いて細胞判別を行うこともできる。 The parameter calculation unit 51 of the control unit 50 calculates a discrimination parameter used for cell discrimination from the spectral spectrum of the measurement data stored in the storage unit 44. The discrimination parameter of the present embodiment is a numerical value obtained by quantifying a signal corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined amount of interatomic bonds, or a numerical value calculated from two or more of the signals. Cell discrimination can also be performed using a plurality of discrimination parameters.

 判別パラメータは、対象となる細胞の種類や測定条件等により選択される。所定のアミノ酸としては、芳香族アミノ酸、特にトリプトファンおよび/またはフェニルアラニンを選択することができる。所定の核酸塩基としては、特にシトシンを選択することができる。所定の原子間結合としては、対象細胞Cの一部または全部における有機化合物の量の指標となる原子間結合を選択することができる。有機化合物の量の指標となる原子間結合としては、特に炭素原子を含む複数の原子間の結合、すなわち炭素原子間の二重結合およびアミド結合、飽和炭化水素におけるC-H結合等を選択することができる。さらに、所定の原子間結合として、シトクロムcのポルフィリン環に存在する炭素原子間の二重結合を選択することができる。 The discrimination parameter is selected according to the type of cell to be measured, measurement conditions, and the like. As the predetermined amino acid, an aromatic amino acid, particularly tryptophan and / or phenylalanine can be selected. In particular, cytosine can be selected as the predetermined nucleobase. As the predetermined interatomic bond, an interatomic bond that serves as an index of the amount of the organic compound in part or all of the target cell C can be selected. As the interatomic bond that serves as an index of the amount of the organic compound, particularly, a bond between a plurality of atoms including carbon atoms, that is, a double bond and an amide bond between carbon atoms, a CH bond in a saturated hydrocarbon, or the like is selected. be able to. Furthermore, a double bond between carbon atoms present in the porphyrin ring of cytochrome c can be selected as the predetermined interatomic bond.

 所定のアミノ酸、所定の核酸塩基または所定の原子間結合に対応する信号の定量化の方法は、特に限定されず、様々な統計値を用いることができる。パラメータ算出部51は、所定のアミノ酸、所定の核酸塩基、または所定の原子間結合に対応する、ラマン散乱光のストークス領域の波数の強度を用いて上記信号を定量化することができる。パラメータ算出部51は、トリプトファンに対応する749/cmの強度、フェニルアラニンに対応する波数1003/cmの強度、シトシンに対応する782/cmの強度、炭素原子間の二重結合若しくはアミド結合に対応する波数1659/cmの強度、シトクロムcのポルフィリン環に存在する炭素原子間の二重結合に対応する1583/cmの強度、または、飽和炭化水素のC-H結合1450/cmの強度の値を算出して判別パラメータとしたり、これらの強度の値を用いて判別パラメータを算出することができる。
 なお、パラメータ算出部51は、上記に挙げた波数の強度のみではなく、判別パラメータの算出に関係する所定のアミノ酸、所定の核酸塩基または所定の原子間結合の種類に合わせて適切な波数の強度を算出することができる。
A method for quantifying a signal corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined interatomic bond is not particularly limited, and various statistical values can be used. The parameter calculation unit 51 can quantify the signal using the intensity of the wave number of the Stokes region of Raman scattered light corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined interatomic bond. The parameter calculation unit 51 corresponds to an intensity of 749 / cm corresponding to tryptophan, an intensity of wave number 1003 / cm corresponding to phenylalanine, an intensity of 782 / cm corresponding to cytosine, a double bond or an amide bond between carbon atoms. Calculates the intensity of wave number 1659 / cm, the intensity of 1583 / cm corresponding to the double bond between carbon atoms existing in the porphyrin ring of cytochrome c, or the intensity of the C—H bond 1450 / cm of the saturated hydrocarbon. Thus, the discrimination parameter can be obtained, or the discrimination parameter can be calculated by using these intensity values.
Note that the parameter calculation unit 51 not only has the above-mentioned wave number intensity, but also an appropriate wave intensity according to a predetermined amino acid, a predetermined nucleobase, or a predetermined type of interatomic bond related to the calculation of the discrimination parameter. Can be calculated.

 パラメータ算出部51は、所定のアミノ酸、所定の核酸塩基または所定の原子間結合に対応するピークの最大強度、面積等を用いて上記信号を定量化することができる。パラメータ算出部51は、ストークス散乱域において、半値幅の範囲に749/cmを含むピーク、半値幅の範囲に1003/cmを含むピーク、半値幅の範囲に782/cmを含むピーク、半値幅の範囲に1659/cmを含むピーク、半値幅の範囲に1583/cmを含むピーク、または半値幅の範囲に1450/cmを含むピークの最大強度、面積等の値を算出して判別パラメータとしたり、これらの強度の値を用いて判別パラメータを算出することができる。パラメータ算出部51は、ピークの強度、面積等を算出する場合は、ノイズや自家蛍光等のバックグラウンドを適宜差し引いて求める。 The parameter calculation unit 51 can quantify the signal using the maximum intensity, area, and the like of a peak corresponding to a predetermined amino acid, a predetermined nucleobase, or a predetermined interatomic bond. In the Stokes scattering region, the parameter calculation unit 51 includes a peak including 749 / cm in the range of half width, a peak including 1003 / cm in the range of half width, a peak including 782 / cm in the range of half width, A peak including 1659 / cm in the range, a peak including 1583 / cm in the range of half width, or a peak including 1450 / cm in the range of half width, the maximum intensity, area, etc. are calculated and used as discrimination parameters. The discrimination parameter can be calculated using these intensity values. When calculating the peak intensity, area, and the like, the parameter calculation unit 51 obtains the background by appropriately subtracting backgrounds such as noise and autofluorescence.

 本実施形態のパラメータ算出部51は、一つの上記所定のアミノ酸、所定の核酸塩基または所定の原子間結合の量またはこれらの量に基づくパラメータを算出し判別パラメータとする。例えば、一つの上記所定のアミノ酸、所定の核酸塩基または所定の原子間結合の量と、他の上記所定のアミノ酸、所定の核酸塩基または所定の原子間結合の量との比率を算出し判別パラメータとすることができる。
 なお、判別パラメータの算出方法は特に限定されない。
The parameter calculation unit 51 of the present embodiment calculates a single predetermined amino acid, a predetermined nucleobase, a predetermined amount of interatomic bond, or a parameter based on these amounts as a discrimination parameter. For example, a discrimination parameter is calculated by calculating a ratio between the amount of one predetermined amino acid, predetermined nucleobase or predetermined interatomic bond and the amount of other predetermined amino acid, predetermined nucleobase or predetermined interatomic bond. It can be.
The method for calculating the discrimination parameter is not particularly limited.

 本実施形態のパラメータ算出部51は、トリプトファンに対応するラマンスペクトルのピークの大きさを定量化した数値に対する、シトシンに対応するラマンスペクトルのピークの大きさを定量化した数値の比率を判別パラメータ1-1(図中、「749cm-1/782cm-1」と表す)とする。本実施形態のパラメータ算出部51は、飽和炭化水素のC-H結合に対応するラマンスペクトルのピークの大きさを定量化した数値に対する、フェニルアラニンに対応するラマンスペクトルのピークの大きさを定量化した数値の比率を判別パラメータ1-2(図中、「1003cm-1/1450cm-1」と表す)とする。以下では、判別パラメータ1-1と判別パラメータ1-2を総称して判別パラメータ1とする。 The parameter calculation unit 51 according to the present embodiment determines the ratio of the numerical value obtained by quantifying the peak size of the Raman spectrum corresponding to cytosine to the numerical value obtained by quantifying the peak size of the Raman spectrum corresponding to tryptophan. -1 (in the figure, it represented as "749cm -1 / 782cm -1") and. The parameter calculation unit 51 of the present embodiment quantifies the Raman spectrum peak size corresponding to phenylalanine with respect to the numerical value obtained by quantifying the Raman spectrum peak size corresponding to the C—H bond of the saturated hydrocarbon. The ratio of the numerical values is set as a discrimination parameter 1-2 (in the figure, expressed as “1003 cm −1 / 1450 cm −1 ”). Hereinafter, the discrimination parameter 1-1 and the discrimination parameter 1-2 are collectively referred to as a discrimination parameter 1.

 本実施形態のパラメータ算出部51は、シトクロムcのポルフィリン環に存在する炭素原子間の二重結合に対応するラマンスペクトルのピークの大きさを定量化した数値に対する、炭素原子間の二重結合若しくはアミド結合に対応するラマンスペクトルのピークの大きさを定量化した数値の比率を判別パラメータ2(図中、「1583cm-1/1659cm-1」と表す)とする。 The parameter calculation unit 51 of the present embodiment uses a double bond between carbon atoms or a numerical value obtained by quantifying the peak size of the Raman spectrum corresponding to the double bond between carbon atoms present in the porphyrin ring of cytochrome c. (in the figure, represented as "1583cm -1 / 1659cm -1") size determined ratio of a value obtained by quantifying the parameter 2 of the peak of the Raman spectrum corresponding to the amide bond to.

 制御部50の判別部52は、パラメータ算出部51で算出された判定パラメータと、記憶部44に記憶されており細胞判別の基準となる値(以下、判別基準値と呼ぶ)とを比較することにより、対象細胞Cが非上皮系のがん細胞か、上皮系のがん細胞か、非がん化細胞かを判別する。本実施形態の判別部は、判別基準値に基づいて二次元上にマッピングされた細胞プロフィール領域に、判別パラメータ1および判別パラメータ2の組合せに対応する点が含まれるか否かにより細胞判別を行う。 The determination unit 52 of the control unit 50 compares the determination parameter calculated by the parameter calculation unit 51 with a value that is stored in the storage unit 44 and serves as a reference for cell determination (hereinafter referred to as a determination reference value). Thus, it is determined whether the target cell C is a non-epithelial cancer cell, an epithelial cancer cell, or a non-cancerous cell. The discrimination unit according to the present embodiment performs cell discrimination based on whether or not a point corresponding to the combination of the discrimination parameter 1 and the discrimination parameter 2 is included in the cell profile region mapped two-dimensionally based on the discrimination reference value. .

 判別基準値および細胞プロフィール領域は、過去のデータに基づき、非上皮系のがん細胞、上皮系のがん細胞、および非がん化細胞がとり得る当該判別パラメータの基準値および範囲をそれぞれ示す。判別基準値および細胞プロフィール領域は、非上皮系のがん細胞、上皮系のがん細胞、および非がん化細胞に対してラマン測定を行って得た判別パラメータの値を、多変量解析等を用いて分析することで設定することができる。ラマン測定で得た統計値により、これらの細胞がとり得る判別パラメータの値の範囲が設定され、例えば、この範囲を近似した関数の形で表す場合のパラメータを判別基準値として用いることができる。 The discriminant reference value and the cell profile area indicate the reference value and range of the discriminant parameter that can be taken by non-epithelial cancer cells, epithelial cancer cells, and non-cancerous cells, respectively, based on past data. . Discrimination reference value and cell profile area are multivariate analysis of discriminant parameter values obtained by performing Raman measurement on non-epithelial cancer cells, epithelial cancer cells, and non-cancerous cells. It can be set by analyzing using. The range of discrimination parameter values that can be taken by these cells is set based on the statistical values obtained by Raman measurement. For example, a parameter when the range is expressed in the form of an approximate function can be used as the discrimination reference value.

 図4は、判別パラメータと細胞プロフィール領域70とに基づいて、対象細胞Cを判別する方法を説明するための概念図である。図4には、判別パラメータ1を横軸に、判別パラメータ2を縦軸にとったグラフ(以下、判別グラフ7と呼ぶ)が示されている。判別グラフ7に示された細胞プロフィール領域70は、非上皮系のがん細胞に対応する細胞プロフィール領域70a、上皮系のがん細胞に対応する細胞プロフィール領域70b、および所定の非がん化細胞に対応する細胞プロフィール領域70cを備える。所定の非がん化細胞としては、細胞懸濁液Sに多い割合で含まれる非がん化細胞を選択することが好ましく、例えば細胞懸濁液Sが循環がん細胞の判別のため末梢血を遠心分離した分画から得られた場合、上記所定の非がん化細胞の細胞プロフィール領域70cとしては、末梢血単核細胞の細胞プロフィール領域を設定することが好ましい。
 なお、細胞プロフィール領域70は、様々な細胞に対応させて4つ以上設定してもよく、また、上皮系のがん細胞および/または所定の非がん化細胞の細胞プロフィール領域70b、70cを省略してもよい。
FIG. 4 is a conceptual diagram for explaining a method of discriminating the target cell C based on the discrimination parameter and the cell profile region 70. FIG. 4 shows a graph with the discrimination parameter 1 on the horizontal axis and the discrimination parameter 2 on the vertical axis (hereinafter referred to as the discrimination graph 7). The cell profile region 70 shown in the discrimination graph 7 includes a cell profile region 70a corresponding to non-epithelial cancer cells, a cell profile region 70b corresponding to epithelial cancer cells, and predetermined non-cancerous cells. Is provided with a cell profile region 70c. As the predetermined non-cancerous cells, it is preferable to select non-cancerous cells contained in a large proportion in the cell suspension S. For example, the cell suspension S is a peripheral blood for discrimination of circulating cancer cells. Is obtained from the fraction obtained by centrifugation, it is preferable to set a cell profile region of peripheral blood mononuclear cells as the cell profile region 70c of the predetermined non-cancerous cell.
Four or more cell profile regions 70 may be set corresponding to various cells, and cell profile regions 70b and 70c of epithelial cancer cells and / or predetermined non-cancerous cells are provided. It may be omitted.

 対象細胞Cを測定して得た判別パラメータ1および判別パラメータ2が判別グラフ7中の点P1に対応する場合、点P1は非上皮系のがん細胞に対応するため、対象細胞Cは非上皮系のがん細胞に分類される。特に血液等から対象細胞Cを採取した場合、点P1は上皮間葉転換したがん細胞に該当する。 When the discrimination parameter 1 and the discrimination parameter 2 obtained by measuring the target cell C correspond to the point P1 in the discrimination graph 7, the point P1 corresponds to a non-epithelial cancer cell. It is classified as a cancer cell. In particular, when the target cell C is collected from blood or the like, the point P1 corresponds to a cancer cell that has undergone epithelial-mesenchymal transition.

 対象細胞Cを測定して得た判別パラメータ1および判別パラメータ2が判別グラフ7中の点P2に対応する場合、点P2は上皮系のがん細胞に対応するため、対象細胞Cは非上皮系のがん細胞に分類される。 When the discrimination parameter 1 and the discrimination parameter 2 obtained by measuring the target cell C correspond to the point P2 in the discrimination graph 7, the point P2 corresponds to an epithelial cancer cell. It is classified as a cancer cell.

 対象細胞Cを測定して得た判別パラメータ1および判別パラメータ2が判別グラフ7中の点P3に対応する場合、点P3は所定の非がん化細胞に対応するため、対象細胞Cは所定の非がん化細胞に分類される。 When the discrimination parameter 1 and the discrimination parameter 2 obtained by measuring the target cell C correspond to the point P3 in the discrimination graph 7, the point P3 corresponds to a predetermined non-cancerous cell. Classified as non-cancerous cells.

 対象細胞Cを測定して得た判別パラメータ1および判別パラメータ2が判別グラフ7中の点P4に対応する場合、点P4は上皮系のがん細胞、非上皮系のがん細胞、上記所定の非がん化細胞のいずれにも対応しないため、対象細胞Cはこれらの細胞ではないものとして分類される。
 なお、上述の判別グラフ7は、二次元のものとしたが、任意の数の判別パラメータを用いて任意の次元の下で解析することができる。
When the discrimination parameter 1 and the discrimination parameter 2 obtained by measuring the target cell C correspond to the point P4 in the discrimination graph 7, the point P4 is an epithelial cancer cell, a non-epithelial cancer cell, Since it does not correspond to any of the non-cancerous cells, the target cell C is classified as not being these cells.
Although the above-described discrimination graph 7 is two-dimensional, it can be analyzed under any dimension using any number of discrimination parameters.

 判別基準値および細胞プロフィール領域70は、がんの種類や、部位、関与する遺伝子等に基づいてそれぞれ設定されることが精密な判定のために好ましい。がんの種類または部位としては、癌(癌腫)、また、体内の器官のがん、例えば、卵巣がんとすることができる。例えば、検査対象を卵巣がんの患者とした場合、卵巣がんが上皮間葉転換されたがん細胞を検出するように細胞プロフィール領域70を設定することが好ましい。 It is preferable for precise determination that the discrimination reference value and the cell profile region 70 are set based on the type of cancer, the site, the gene involved, and the like. The type or site of cancer can be cancer (carcinoma) or cancer of an organ in the body, for example, ovarian cancer. For example, when the subject to be examined is an ovarian cancer patient, it is preferable to set the cell profile region 70 so as to detect cancer cells whose ovarian cancer has undergone epithelial-mesenchymal transition.

 本実施形態における「上皮系のがん細胞」はサイトケラチン、EpCAM、E-カドヘリンからなる群から選択される一以上のタンパク質を発現する細胞であり、「上皮間葉転換したがん細胞」はビメンチンおよび/またはN-カドヘリンを発現する細胞である。 The “epithelial cancer cell” in the present embodiment is a cell that expresses one or more proteins selected from the group consisting of cytokeratin, EpCAM, and E-cadherin, and the “epithelial-mesenchymal cancer cell” is A cell that expresses vimentin and / or N-cadherin.

 制御部50の流速制御部53(図3)は、細胞懸濁液Sおよびリン酸緩衝生理食塩水(以下、PBSと呼ぶ)の流速を制御することにより、対象細胞Cの流路での移動を制御し、さらに細胞判別の結果に基づいて対象細胞を分離する操作を制御する。 The flow rate control unit 53 (FIG. 3) of the control unit 50 controls the flow rate of the cell suspension S and phosphate buffered saline (hereinafter referred to as PBS), thereby moving the target cell C in the flow path. And the operation of separating the target cell based on the result of cell discrimination is controlled.

 図5は、流路構造体90の構造を示す概念図である。流路構造体90は、細胞流路91と、補助流路92a、92bと、保持部93a、93bと、バイパス流路94a、94bと、連結部95とを備える。細胞流路91は、保持部93aおよびバイパス流路94aとを介して補助流路92aと連結され、保持部93bおよびバイパス流路94bとを介して補助流路92bと連結されている。連結部95は、流路構造体90の内部の流路と外部の流路とを連結している。 FIG. 5 is a conceptual diagram showing the structure of the flow path structure 90. The channel structure 90 includes a cell channel 91, auxiliary channels 92a and 92b, holding portions 93a and 93b, bypass channels 94a and 94b, and a connecting portion 95. The cell channel 91 is connected to the auxiliary channel 92a via the holding part 93a and the bypass channel 94a, and is connected to the auxiliary channel 92b via the holding part 93b and the bypass channel 94b. The connection part 95 connects the flow path inside the flow path structure 90 and the external flow path.

 保持部93の数は、適宜設定することができる。例えば、検査対象となる人間から20mlの血液を採取し、循環がん細胞の数を調べる検査を行う場合、検出された循環がん細胞の数が0個から数個までと増加するに従い、段階的に推定されるがんの進行度、悪性度、予後および/または転移可能性が変わる。流路構造体90は、保持部93を1個のみ備えてもよいが、複数の保持部93を備えることが好ましい。流路構造体90は、流路が複雑になりすぎないように、細胞流路91を複数設けたり、2個以上10個以下の保持部93を備えることが好ましい。これにより、効率的に細胞判別を行うことができる。 The number of holding parts 93 can be set as appropriate. For example, when 20 ml of blood is collected from a person to be examined and the number of circulating cancer cells is examined, the stage is increased as the number of detected circulating cancer cells increases from 0 to several. Changes in cancer progression, malignancy, prognosis and / or metastatic potential. The flow channel structure 90 may include only one holding portion 93, but preferably includes a plurality of holding portions 93. The flow channel structure 90 is preferably provided with a plurality of cell flow channels 91 or two or more and ten or less holding portions 93 so that the flow channel is not too complicated. Thereby, cell discrimination can be performed efficiently.

 細胞流路91には、対象細胞Cを含む細胞懸濁液Sが流れている。補助流路92a、92bには、PBSが流れている。細胞流路91および補助流路92a、92bの内部を液体が流れる方向を実線矢印A5ならびにA6およびA7で模式的に示した。細胞流路91と、補助流路92a、92bのそれぞれを流れる液体の流速は、独立して流速制御部53により制御される。
 なお、補助流路92a、92bを流れる液体は、PBSに限定されないが、ラマン測定に影響を与えない程度に、温度、浸透圧等が細胞流路91の緩衝液と近いものが好ましい。
A cell suspension S containing the target cell C flows through the cell channel 91. PBS flows through the auxiliary flow paths 92a and 92b. The direction in which the liquid flows inside the cell channel 91 and the auxiliary channels 92a and 92b is schematically indicated by solid line arrows A5, A6, and A7. The flow rate of the liquid flowing through each of the cell flow channel 91 and the auxiliary flow channels 92a and 92b is independently controlled by the flow rate control unit 53.
The liquid flowing through the auxiliary flow paths 92a and 92b is not limited to PBS, but preferably has a temperature, osmotic pressure, and the like that are close to the buffer of the cell flow path 91 to the extent that the Raman measurement is not affected.

 保持部93a、93bは、細胞流路91側に開いた反楕円体上の形状をしているが、対象細胞Cに細胞流路91の流れが直接当たらないようにするものであれば特に限定されない。保持部93a、93bの細胞流路91と接する開口部の幅Wおよび奥行Lは、対象細胞Cの全体が収まり保持されるように、10μm以上200μm以下であることが好ましく、20μm以上100μm以下であることがより好ましい。バイパス回路94aおよび94bの管径は、対象細胞Cを通過させないよう、対象細胞Cの平均的な幅よりも小さく設定され、0.1μm以上20μm以下であることが好ましい。 The holding portions 93a and 93b have an anti-ellipsoidal shape opened on the cell flow channel 91 side, but are not particularly limited as long as the flow of the cell flow channel 91 is not directly applied to the target cell C. Not. The width W and the depth L of the opening portions of the holding portions 93a and 93b that are in contact with the cell channel 91 are preferably 10 μm or more and 200 μm or less, and 20 μm or more and 100 μm or less so that the entire target cell C is accommodated and held. More preferably. The tube diameters of the bypass circuits 94a and 94b are set smaller than the average width of the target cell C so as not to allow the target cell C to pass, and are preferably 0.1 μm or more and 20 μm or less.

(対象細胞Cの移動制御の方法)
 以下、図6~8を参照しながら、流速制御部53により対象細胞Cの移動が制御され、非上皮系のがん細胞Cnを、対象細胞Cの細胞群から分離して回収する方法について説明する。
(Method of controlling movement of target cell C)
Hereinafter, with reference to FIGS. 6 to 8, a method in which the movement of the target cell C is controlled by the flow rate control unit 53 and the non-epithelial cancer cell Cn is separated from the cell group of the target cell C and collected will be described. To do.

 図6(a)は、細胞流路91と補助流路92a、92bが略等しい速度で流れるように設定されている場合の対象細胞Cの移動状態を示す図である。細胞流路91には、対象細胞Cとして、非上皮系のがん細胞Cnおよび非上皮系のがん細胞以外の細胞Ceが流れている。細胞流路91を流れる対象細胞Cは、細胞流路91と補助流路92とにおける流速が略等しいため、保持部93a、93bに引き寄せられることなく、細胞流路91に沿って進んでいる。 FIG. 6A is a diagram showing a moving state of the target cell C when the cell channel 91 and the auxiliary channels 92a and 92b are set to flow at substantially the same speed. In the cell channel 91, non-epithelial cancer cells Cn and non-epithelial cancer cells Ce flow as target cells C. The target cell C that flows through the cell flow path 91 advances along the cell flow path 91 without being attracted to the holding portions 93a and 93b because the flow rates in the cell flow path 91 and the auxiliary flow path 92 are substantially equal.

 図6(b)は、図6(a)の状態の後に、補助流路92aにおける流速を上げた場合の対象細胞Cの移動状態を示す図である。ベルヌーイの定理により流速の大きい液体の方が圧力が低いため、対象細胞C1は保持部93aに引き寄せられ、保持部93aの側面と接して保持される。こうして対象細胞C1が保持された状態でレーザ光が照射され、ラマン測定および細胞判別が行われる。 FIG. 6B is a diagram showing a moving state of the target cell C when the flow rate in the auxiliary flow path 92a is increased after the state of FIG. 6A. According to Bernoulli's theorem, a liquid with a larger flow velocity has a lower pressure, and the target cell C1 is attracted to the holding portion 93a and held in contact with the side surface of the holding portion 93a. In this way, the laser beam is irradiated while the target cell C1 is held, and Raman measurement and cell discrimination are performed.

 図7(a)は、図6(b)の状態の後に、補助流路92aにおける流速を下げた場合の対象細胞Cの移動状態を示す図である。図6(b)で対象細胞C1に対して行ったラマン測定および細胞判別の結果、対象細胞C1が非上皮系のがん細胞ではないと判別された場合に相当する。このとき、補助流路92aにおける流速は下げられ、細胞流路91および補助流路92a、92bにおいては略等しい流速になっている。細胞流路91と補助流路92とにおける流速差により保持部93aに保持されていた対象細胞C1は保持部93aから離れ、細胞流路91に沿って進む。 FIG. 7 (a) is a diagram showing a moving state of the target cell C when the flow rate in the auxiliary flow path 92a is lowered after the state of FIG. 6 (b). This corresponds to a case where it is determined that the target cell C1 is not a non-epithelial cancer cell as a result of Raman measurement and cell discrimination performed on the target cell C1 in FIG. 6B. At this time, the flow rate in the auxiliary channel 92a is lowered, and the cell channel 91 and the auxiliary channels 92a and 92b have substantially the same flow rate. The target cell C <b> 1 held in the holding portion 93 a due to the flow velocity difference between the cell flow channel 91 and the auxiliary flow channel 92 moves away from the holding portion 93 a and travels along the cell flow channel 91.

 図7(b)は、図7(a)の状態の後に、補助流路92aにおける流速を上げた場合の対象細胞Cの移動状態を示す図である。ベルヌーイの定理により流速の大きい液体の方が圧力が低いため、対象細胞Cnは保持部93aに引き寄せられ、保持部93aの側面と接して保持される。こうして対象細胞Cnが保持された状態でレーザ光が照射され、ラマン測定および細胞判別が行われる。ラマン測定および細胞判別により対象細胞Cnが非上皮系のがん細胞であるという結果が出た場合、細胞懸濁液Sを全て流し終わるまで対象細胞Cnは保持部93aに保持される。保持部93aに非上皮系のがん細胞Cnが保持されたら、ラマン測定のための光の照射位置を保持部93aから保持部93bに移し、保持部93で上記と同様にラマン測定および細胞判別を行う。
 なお、計測装置100は、保持部93aと保持部93b等、複数の保持部93のそれぞれに対して独立に光を照射する複数の照射部を備えてもよい。これにより、より効率的に細胞の判別を行うことができる。ここで、複数の照射部は、複数の照射口を有すれば、計測装置100の照射光学系10または対物光学系20の一部を共有していてもよい。
FIG. 7B is a diagram showing a moving state of the target cell C when the flow rate in the auxiliary flow path 92a is increased after the state of FIG. 7A. According to Bernoulli's theorem, a liquid having a higher flow velocity has a lower pressure, and thus the target cell Cn is attracted to the holding portion 93a and held in contact with the side surface of the holding portion 93a. In this way, the laser light is irradiated while the target cell Cn is held, and Raman measurement and cell discrimination are performed. When the result of Raman measurement and cell discrimination indicates that the target cell Cn is a non-epithelial cancer cell, the target cell Cn is held in the holding unit 93a until the cell suspension S is completely poured. When the non-epithelial cancer cell Cn is held in the holding part 93a, the irradiation position of light for Raman measurement is moved from the holding part 93a to the holding part 93b, and the holding part 93 performs Raman measurement and cell discrimination in the same manner as described above. I do.
Note that the measuring apparatus 100 may include a plurality of irradiation units that irradiate light independently to each of the plurality of holding units 93, such as the holding unit 93a and the holding unit 93b. Thereby, a cell can be discriminated more efficiently. Here, the plurality of irradiation units may share a part of the irradiation optical system 10 or the objective optical system 20 of the measurement apparatus 100 as long as it has a plurality of irradiation ports.

 図8(a)は、保持部93a、93bの両方が非上皮系のがん細胞Cnを保持しつつ、全ての細胞懸濁液Sが流し終わり、細胞流路91にPBSが流されている状態を示している。補助流路92a、92bは上皮系のがん細胞Cnを保持するため、細胞流路91よりも大きな流速でPBSが流れている。 FIG. 8A shows that both the holding portions 93a and 93b hold the non-epithelial cancer cells Cn, and all the cell suspensions S have been flown, and PBS has flowed into the cell channel 91. Indicates the state. Since the auxiliary flow paths 92a and 92b hold epithelial cancer cells Cn, PBS flows at a higher flow rate than the cell flow path 91.

 図8(b)は、図8(a)の後に、補助流路92a、92bにおける流速を下げた場合の上皮系のがん細胞Cnの移動状態を示す図である。このとき、補助流路92a、92bにおける流速は下げられ、細胞流路91および補助流路92a、92bにおいては略等しい流速になっている。細胞流路91と補助流路92とにおける流速差により保持部93a、93bに保持されていた対象細胞C1は保持部93aから離れ、細胞流路91に沿って進む。非上皮系のがん細胞Cnは、流路構造体90を出ると回収容器83に回収される。こうして非上皮系のがん細胞Cnは、細胞懸濁液Sに含まれる他の細胞群から分離されて回収される。
 なお、対象細胞Cを保持し、分離して回収するアルゴリズムは、本実施形態の方法に限定されず、必要とされる保持部93の数等に合わせ、適宜設計され得る。
FIG. 8B is a diagram showing a state of movement of epithelial cancer cells Cn when the flow velocity in the auxiliary flow channels 92a and 92b is lowered after FIG. 8A. At this time, the flow velocity in the auxiliary flow channels 92a and 92b is lowered, and the flow velocity is substantially equal in the cell flow channel 91 and the auxiliary flow channels 92a and 92b. The target cell C1 held in the holding portions 93a and 93b due to the flow rate difference between the cell flow channel 91 and the auxiliary flow channel 92 is separated from the holding portion 93a and proceeds along the cell flow channel 91. Non-epithelial cancer cells Cn are collected in the collection container 83 when they exit the flow channel structure 90. Thus, the non-epithelial cancer cells Cn are separated and collected from other cell groups contained in the cell suspension S.
Note that the algorithm for holding the target cell C, separating it, and collecting it is not limited to the method of the present embodiment, and can be appropriately designed according to the number of holding parts 93 required.

 制御部50の情報出力部54は、各対象細胞Cの細胞判別の結果となる情報、上皮系のがん細胞Cnと判別された個数、非上皮系のがん細胞と判別された個数およびこの2つの個数を合わせた循環がん細胞の個数を含む、表示用画像を作成し、表示部42に出力する。さらに、情報出力部54は、腫瘍の進行度、悪性度、予後および/または転移可能性を示すがん分析情報を含む、表示用画像を作成し、表示部42に出力する。このように、計測装置100は、がんの検査装置ともなり得る。 The information output unit 54 of the control unit 50 includes information that is a result of cell discrimination of each target cell C, the number that is determined as epithelial cancer cells Cn, the number that is determined as non-epithelial cancer cells, and the number A display image including the number of circulating cancer cells obtained by combining the two numbers is created and output to the display unit 42. Furthermore, the information output unit 54 creates a display image including cancer analysis information indicating the degree of progression, malignancy, prognosis, and / or metastasis potential of the tumor, and outputs the display image to the display unit 42. Thus, the measuring device 100 can also be a cancer testing device.

(がんの検査方法の流れ)
 図9は、本実施形態の細胞の判別方法を含むがんの検査方法の流れを示すフローチャートである。
(Flow of cancer testing methods)
FIG. 9 is a flowchart showing a flow of a cancer testing method including the cell discrimination method of the present embodiment.

 ステップS1001において、医療従事者等により、検査対象の個体から血液が採取される。ステップS1001が終了したら、ステップS1003に進む。ステップS1003において、ステップS1001で採取された血液から遠心分離等を用いて、循環がん細胞が含まれると推定される一部の細胞を含む細胞懸濁液Sを調整する。ステップS1003が終了したら、ステップS1005に進む。 In step S1001, blood is collected from an individual to be examined by a medical worker or the like. When step S1001 ends, the process proceeds to step S1003. In step S1003, the cell suspension S containing a part of cells estimated to contain circulating cancer cells is adjusted using centrifugation or the like from the blood collected in step S1001. When step S1003 ends, the process proceeds to step S1005.

 ステップS1005において、ステップS1003で調製された細胞懸濁液Sが流路に流され、流速制御部53により、細胞流路91の空いている保持部93に対象細胞を一時的に保持し、保持した対象細胞Cのラマンスペクトルを取得する。ステップS1005が終了したら、ステップS1007に進む。ステップS1007において、パラメータ算出部51は、ステップS1005で取得したラマンスペクトルにおける、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対する信号から、判別パラメータを算出する。ステップS1007が終了したら、ステップS1009に進む。 In step S1005, the cell suspension S prepared in step S1003 is caused to flow through the flow path, and the flow rate control unit 53 temporarily holds and holds the target cell in the vacant holding unit 93 of the cell flow path 91. The Raman spectrum of the target cell C obtained is acquired. When step S1005 ends, the process proceeds to step S1007. In step S1007, the parameter calculation unit 51 determines the amount of at least one substance or bond selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in the Raman spectrum acquired in step S1005. A discrimination parameter is calculated from the signal. When step S1007 ends, the process proceeds to step S1009.

 ステップS1009において、判別部52は、判別パラメータに基づいて、一時的に保持した対象細胞Cが、非上皮系のがん細胞Cnか、上皮系のがん細胞または非がん化細胞かの判別を行う。ステップS1009が終了したら、ステップS1011に進む。ステップS1011において、制御部50は、ステップS1009で対象細胞Cが非上皮系のがん細胞と判別されたか否かを判定する。非上皮系のがん細胞と判別された場合、ステップS1011を否定判定してステップS1019に進む。非上皮系のがん細胞と判別された場合、ステップS1011を肯定判定されステップS1013に進む。 In step S1009, the determination unit 52 determines whether the temporarily retained target cell C is a non-epithelial cancer cell Cn, an epithelial cancer cell, or a non-cancerous cell based on the determination parameter. I do. When step S1009 ends, the process proceeds to step S1011. In step S1011, the control unit 50 determines whether or not the target cell C is determined as a non-epithelial cancer cell in step S1009. If it is determined as a non-epithelial cancer cell, a negative determination is made in step S1011 and the process proceeds to step S1019. If it is determined as a non-epithelial cancer cell, an affirmative determination is made in step S1011 and the process proceeds to step S1013.

 ステップS1019において、流速制御部53は、細胞流路91と補助流路92とにおける流速差を調整し、一時的に保持している、非上皮系のがん細胞ではないと判別された対象細胞Cを保持部93から解放する。ステップS1019が終了したら、ステップS1013に進む。ステップS1013において、制御部50は、細胞懸濁液Sを全て流し終わったか否かを判定する。細胞懸濁液Sを流し終わっていない場合、ステップS1013を否定判定してステップS1005に戻る。細胞懸濁液Sを流し終わった場合、ステップS1013を肯定判定してステップS1015に進む。 In step S1019, the flow rate control unit 53 adjusts the flow rate difference between the cell flow path 91 and the auxiliary flow path 92, and temporarily holds the target cell that is determined not to be a non-epithelial cancer cell. C is released from the holding unit 93. When step S1019 ends, the process proceeds to step S1013. In step S1013, the control unit 50 determines whether or not all of the cell suspension S has been poured. When the flow of the cell suspension S is not finished, a negative determination is made in step S1013, and the process returns to step S1005. When the cell suspension S has been poured, an affirmative decision is made in step S1013 and the process proceeds to step S1015.

 ステップS1015において、制御部50は、保持部93に保持している上皮系のがん細胞Cnを細胞流路91に開放し、細胞懸濁液S中の他の細胞群から分離して回収する。ステップS1015が終了したら、ステップS1017に進む。ステップS1017において、情報出力部54は、対象細胞Cを採取した検査対象の腫瘍の進行度、悪性度、予後および/または転移可能性についての情報を表示部42に表示する。 In step S1015, the control unit 50 opens the epithelial cancer cells Cn held in the holding unit 93 to the cell flow channel 91, and separates them from other cell groups in the cell suspension S and collects them. . When step S1015 ends, the process proceeds to step S1017. In step S1017, the information output unit 54 displays information on the degree of progression, malignancy, prognosis, and / or metastasis of the tumor to be examined from which the target cells C have been collected on the display unit 42.

 上述の実施の形態によれば、次の作用効果が得られる。
(1)本実施形態の細胞の判別方法は、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号を計測する計測工程と、計測された信号に基づいて、対象細胞Cが、非上皮系のがん細胞Cnか否かの判別を行う判別工程と、を備える。これにより、対象細胞Cが、非上皮系のがん細胞か否かの判別を正確に行うことができる。
According to the above-described embodiment, the following operational effects can be obtained.
(1) The cell discrimination method of this embodiment measures a signal corresponding to at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond, or the amount of binding. A measurement step and a determination step of determining whether the target cell C is a non-epithelial cancer cell Cn based on the measured signal. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell.

(2)本実施形態の細胞の判別方法において、対象細胞Cは、生体の血液に含まれる細胞であり、上記判別工程は、対象細胞Cが、非上皮系のがん細胞Cnを含む循環がん細胞か、血液中の非がん化細胞かの判別を行う。これにより、正確に循環がん細胞の数を算出することができる。 (2) In the cell discriminating method of the present embodiment, the target cell C is a cell contained in blood of a living body, and in the discrimination step, the target cell C is circulated including non-epithelial cancer cells Cn. To determine whether it is a cancer cell or a non-cancerous cell in the blood. Thereby, the number of circulating cancer cells can be accurately calculated.

(3)本実施形態の細胞の判別方法において、上記判別工程は、対象細胞Cが、上皮系のがん細胞か、当該上皮系のがん細胞が上皮間葉転換した細胞Cnかの判別を行う。これにより、転移可能性等の腫瘍の予後を示す非上皮系細胞Cnが存在するか否かについての情報を正確に得ることができる。 (3) In the cell discrimination method of the present embodiment, the discrimination step determines whether the target cell C is an epithelial cancer cell or a cell Cn in which the epithelial cancer cell is epithelial-mesenchymal transition. Do. Thereby, information about whether or not non-epithelial cells Cn indicating the prognosis of the tumor such as the possibility of metastasis can be obtained accurately.

(4)本実施形態の細胞の判別方法において、対象細胞Cは、卵巣がんの患者から採取した細胞であり、上記上皮系のがん細胞は、卵巣がんの細胞である。これにより、対象細胞Cが、非上皮系のがん細胞か否かの判別を正確に行うことができる。 (4) In the cell discrimination method of the present embodiment, the target cell C is a cell collected from an ovarian cancer patient, and the epithelial cancer cell is an ovarian cancer cell. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell.

(5)本実施形態の細胞の判別方法において、計測工程では、芳香族アミノ酸の量に対応する信号を計測する。これにより、対象細胞Cが、芳香族アミノ酸の量と関連づけられている非上皮系のがん細胞か否かの判別を正確に行うことができる。 (5) In the cell discrimination method of the present embodiment, in the measurement step, a signal corresponding to the amount of aromatic amino acid is measured. This makes it possible to accurately determine whether the target cell C is a non-epithelial cancer cell that is associated with the amount of aromatic amino acid.

(6)本実施形態の細胞の判別方法において、計測工程では、トリプトファンおよび/またはフェニルアラニンの量に対応する信号を計測する。これにより、対象細胞Cが、トリプトファンおよび/またはフェニルアラニンの量と関連づけられている非上皮系のがん細胞か否かの判別を正確に行うことができる。 (6) In the cell discrimination method of the present embodiment, in the measurement step, a signal corresponding to the amount of tryptophan and / or phenylalanine is measured. This makes it possible to accurately determine whether the target cell C is a non-epithelial cancer cell that is associated with the amount of tryptophan and / or phenylalanine.

(7)本実施形態の細胞の判別方法において、計測工程では、シトシンの量に対応する信号を計測する。これにより、対象細胞Cが、シトシンの量と関連づけられている非上皮系のがん細胞か否かの判別を正確に行うことができる。 (7) In the cell discrimination method of the present embodiment, in the measurement step, a signal corresponding to the amount of cytosine is measured. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell associated with the amount of cytosine.

(8)本実施形態の細胞の判別方法において、計測工程では、炭素原子を含む複数の原子間の結合の量に対応する信号を計測する。これにより、対象細胞Cが、炭素原子を含む複数の原子間の結合の量と関連づけられている非上皮系のがん細胞か否かの判別を正確に行うことができる。 (8) In the cell discrimination method of this embodiment, in the measurement step, a signal corresponding to the amount of bonds between a plurality of atoms including carbon atoms is measured. This makes it possible to accurately determine whether or not the target cell C is a non-epithelial cancer cell that is associated with the amount of bonds between a plurality of atoms including carbon atoms.

(9)本実施形態の細胞の判別方法において、計測工程では、シトクロムcのポルフィリン環にある炭素原子間の二重結合の量に対応する信号を計測する。これにより、炭素原子を含む複数の原子間の結合の量と関連づけられている非上皮系のがん細胞か否かの判別を正確に行うことができる。 (9) In the cell discrimination method of this embodiment, in the measurement step, a signal corresponding to the amount of double bonds between carbon atoms in the porphyrin ring of cytochrome c is measured. This makes it possible to accurately determine whether or not the cancer cell is a non-epithelial cancer cell that is associated with the amount of bonds between a plurality of atoms including carbon atoms.

(10)本実施形態の細胞の判別方法において、計測工程では、対象細胞Cの一部または全部における有機化合物の量に対応する信号を計測する。これにより、有機化合物の量により判別パラメータを規格化したり等でき、非上皮系のがん細胞か否かの判別をより正確に行うことができる。 (10) In the cell discrimination method of the present embodiment, in the measurement step, a signal corresponding to the amount of the organic compound in part or all of the target cell C is measured. As a result, the discrimination parameter can be normalized by the amount of the organic compound, etc., and it can be more accurately discriminated whether it is a non-epithelial cancer cell.

(11)本実施形態の細胞の判別方法において、計測工程では、ラマン散乱光のストークス散乱域の強度において、半値幅の範囲に749/cmを含むピーク、半値幅の範囲に782/cmを含むピーク、半値幅の範囲に1583/cmを含むピーク、または半値幅の範囲に1659/cmを含むピークのデータから算出された統計値に基づいてそれぞれ対応する物質または結合の量を算出する。これにより、生化学的なマーカーを用いずとも、対象細胞Cが非上皮系のがん細胞か否かの判別を正確に行うことができる。 (11) In the cell discrimination method of the present embodiment, in the measurement step, in the intensity of the Stokes scattering region of the Raman scattered light, a peak including 749 / cm in the half-value range and 782 / cm in the half-value range. The amount of the corresponding substance or bond is calculated based on the statistical values calculated from the data of the peak, the peak including 1583 / cm in the range of half width, or the peak including 1659 / cm in the range of half width. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell without using a biochemical marker.

(12)本実施形態の細胞の判別方法において、計測工程では、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも二以上の物質または結合の量に対応する信号を計測し、判別工程では、一つの上記物質または結合の量と、他の上記物質または結合の量との比を算出し、一以上の上記比に基づいて、対象細胞Cの判別を行う。これにより、判別パラメータを適宜組み合わせて、より正確に非上皮系のがん細胞か否かの判別を正確に行うことができる。 (12) In the cell discrimination method of the present embodiment, the measurement step corresponds to at least two substances selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond, or the amount of binding. A signal is measured, and in the discrimination step, a ratio between the amount of one substance or bond and the amount of another substance or bond is calculated, and the target cell C is discriminated based on one or more of the ratios. . Accordingly, it is possible to accurately determine whether or not the cancer cell is a non-epithelial cancer cell by appropriately combining the determination parameters.

(13)本実施形態のがんの検査装置またはがんの検査方法は、本実施形態の細胞の判別方法により、対象細胞Cが、非上皮系のがん細胞Cnか否かの判別を行い、この判別の結果に基づいて、検査対象のがんの有無、程度、または転移可能性についての情報を提供する。これにより、非上皮系のがん細胞も正確に判別し、がんの現在、予後についての正確な情報を提供することができる。 (13) The cancer inspection apparatus or cancer inspection method of this embodiment determines whether the target cell C is a non-epithelial cancer cell Cn by the cell determination method of this embodiment. Based on the result of this determination, information on the presence, degree, or metastasis potential of the cancer to be examined is provided. Thereby, non-epithelial cancer cells can be accurately identified, and accurate information on the current prognosis of cancer can be provided.

(14)本実施形態の計測装置は、上記計測工程により測定された信号に基づいて、対象細胞Cが、非上皮系のがん細胞か否かの判別を行った判別結果を出力する情報出力部を備える。これにより、非上皮系のがん細胞を正確に判別した結果を提供することができる。 (14) The measurement apparatus according to the present embodiment outputs an information output that outputs a determination result obtained by determining whether the target cell C is a non-epithelial cancer cell based on the signal measured in the measurement step. A part. As a result, it is possible to provide a result of accurately discriminating non-epithelial cancer cells.

(15)本実施形態の計測装置は、対象細胞Cが移動する細胞流路91と、細胞流路91と接続され、一部の対象細胞を保持する保持部93と、保持部93に光を照射する対物光学系20と、を備える。これにより、細胞懸濁液Sに含まれる細胞に対し、順次、非上皮系のがん細胞か否かを正確に判別することができる。 (15) The measurement device of this embodiment includes a cell channel 91 in which the target cell C moves, a holding unit 93 that is connected to the cell channel 91 and holds a part of the target cells, and emits light to the holding unit 93. An objective optical system 20 for irradiation. Thereby, it is possible to accurately determine whether or not the cells contained in the cell suspension S are non-epithelial cancer cells sequentially.

(16)本実施形態の計測装置は、細胞判別の判別結果に基づいて対象細胞Cを分離する操作を制御する流速制御部を備える。これにより、正確に選別し、取り出した細胞を、より詳細に解析等することができる。 (16) The measurement device of the present embodiment includes a flow rate control unit that controls an operation of separating the target cell C based on the discrimination result of the cell discrimination. As a result, the cells that have been accurately sorted and taken out can be analyzed in more detail.

 なお、上述の実施形態に係る細胞の判別方法、がんの検査装置またはがんの検査方法、及び計測装置では、対象細胞が、非上皮系のがん細胞か、上皮系のがん細胞または非がん化細胞かの判別が行われるが、非上皮系のがん細胞か否かのみを判別する細胞の判別方法、がんの検査装置またはがんの検査方法、及び計測装置も本発明に包含される。 In the cell discrimination method, cancer inspection apparatus or cancer inspection method, and measurement apparatus according to the above-described embodiment, the target cell is a non-epithelial cancer cell, an epithelial cancer cell, or Although it is discriminated whether it is a non-cancerous cell, a cell discrimination method, a cancer inspection apparatus or a cancer inspection method, and a measurement apparatus that only determine whether it is a non-epithelial cancer cell are also included in the present invention. Is included.

 次のような変形も本発明の範囲内であり、上述の実施形態と組み合わせることが可能である。
(変形例1)
 本実施形態の情報処理装置40の情報処理機能を実現するためのプログラムをコンピュータにより読み取り可能な記録媒体に記録して、この記録媒体に記録された、上述した判別パラメータの算出処理および判別処理等に関するプログラムをコンピュータシステムに読み込ませ、実行させてもよい。なお、ここでいう「コンピュータシステム」とは、OS(Operating System)や周辺機器のハードウェアを含むものとする。また、「コンピュータ読み取り可能な記録媒体」とは、フレキシブルディスク、光磁気ディスク、光ディスク、メモリカード等の可搬型記録媒体、コンピュータシステムに内蔵されるハードディスク等の記憶装置のことをいう。さらに「コンピュータ読み取り可能な記録媒体」とは、インターネット等のネットワークや電話回線等の通信回線を介してプログラムを送信する場合の通信線のように、短時間の間、動的にプログラムを保持するもの、その場合のサーバやクライアントとなるコンピュータシステム内部の揮発性メモリのように、一定時間プログラムを保持するものを含んでもよい。また上記のプログラムは、前述した機能の一部を実現するためのものであってもよく、さらに前述した機能をコンピュータシステムにすでに記録されているプログラムとの組み合わせにより実現するものであってもよい。
The following modifications are also within the scope of the present invention, and can be combined with the above-described embodiment.
(Modification 1)
A program for realizing the information processing function of the information processing apparatus 40 according to the present embodiment is recorded on a computer-readable recording medium, and the above-described determination parameter calculation processing, determination processing, and the like recorded on the recording medium The program may be read into a computer system and executed. Here, the “computer system” includes an OS (Operating System) and hardware of peripheral devices. The “computer-readable recording medium” refers to a portable recording medium such as a flexible disk, a magneto-optical disk, an optical disk, and a memory card, and a storage device such as a hard disk built in the computer system. Furthermore, the “computer-readable recording medium” dynamically holds a program for a short time like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. In this case, a volatile memory in a computer system serving as a server or a client in that case may be included and a program that holds a program for a certain period of time may be included. Further, the above program may be for realizing a part of the functions described above, or may be realized by a combination with the program already recorded in the computer system. .

 また、パーソナルコンピュータ(以下、PCと呼ぶ)等に適用する場合、上述した制御に関するプログラムは、CD-ROMなどの記録媒体やインターネット等のデータ信号を通じて提供することができる。図10はその様子を示す図である。PC950は、CD-ROM953を介してプログラムの提供を受ける。また、PC950は通信回線951との接続機能を有する。コンピュータ952は上記プログラムを提供するサーバーコンピュータであり、ハードディスク等の記録媒体にプログラムを格納する。通信回線951は、インターネット、PC通信などの通信回線、あるいは専用通信回線などである。コンピュータ952はハードディスクを使用してプログラムを読み出し、通信回線951を介してプログラムをPC950に送信する。すなわち、プログラムをデータ信号として搬送波により搬送して、通信回線951を介して送信する。このように、プログラムは、記録媒体や搬送波などの種々の形態のコンピュータ読み込み可能なコンピュータプログラム製品として供給できる。 Further, when applied to a personal computer (hereinafter referred to as a PC), the above-described control-related program can be provided through a recording medium such as a CD-ROM or a data signal such as the Internet. FIG. 10 is a diagram showing this state. The PC 950 is provided with a program via the CD-ROM 953. Further, the PC 950 has a connection function with the communication line 951. A computer 952 is a server computer that provides the program, and stores the program in a recording medium such as a hard disk. The communication line 951 is a communication line such as the Internet or PC communication, or a dedicated communication line. The computer 952 reads the program using the hard disk and transmits the program to the PC 950 via the communication line 951. That is, the program is transmitted as a data signal by a carrier wave and transmitted via the communication line 951. Thus, the program can be supplied as a computer-readable computer program product in various forms such as a recording medium and a carrier wave.

 本変形例の検査プログラムは、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号に基づいて、対象細胞Cが、非上皮系のがん細胞Cnか、上皮系のがん細胞または非がん化細胞かの判別を行う判別処理と、判別処理の結果についての情報、または対象細胞Cが取得された検査対象のがんの有無、程度または転移可能性についての情報を出力する出力処理を処理装置に行わせる。これにより、対象細胞Cが、非上皮系のがん細胞か否かの判別を正確に行うことができる。 The inspection program according to the present modified example is based on a signal corresponding to at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond, or the amount of binding. , A discrimination process for discriminating between a non-epithelial cancer cell Cn, an epithelial cancer cell or a non-cancerous cell, information on the result of the discrimination process, or a test object from which the target cell C has been acquired Causes the processing device to perform output processing that outputs information about the presence, degree, or metastasis potential of cancer. Thereby, it is possible to accurately determine whether the target cell C is a non-epithelial cancer cell.

(実施例)
 培養卵巣がん細胞と、この培養卵巣がん細胞に上皮間葉転換誘導試薬を加え上皮間葉転換を誘導した細胞と、末梢血単核細胞とについて、ラマン測定を行い、判別パラメータの分布を各細胞毎にプロットした。
(Example)
Measure the Raman distribution of cultured ovarian cancer cells, cells that induce epithelial-mesenchymal transition by adding an epithelial-mesenchymal transition-inducing reagent to these cultured ovarian cancer cells, and determine the distribution of discriminating parameters. Plotted for each cell.

(培養卵巣がん細胞の上皮間葉転換の誘導)
 E-カドヘリンの発現が確認されている培養卵巣がん細胞OVCAR-3(ATCC社)に上皮間葉転換誘導試薬StemXVivo EMTInducing Media Supplement(R&D Systems社)を加えたところ、当該試薬を加えた後5~10日、間葉系マーカーのビメンチンの発現を一部の細胞について確認することができた。この細胞を、以下では、上皮間葉転換が誘導された細胞とする。浮遊培養についても間葉状態が維持されることが確認された。
(Induction of epithelial-mesenchymal transition in cultured ovarian cancer cells)
When the expression of E-cadherin was confirmed, OVCAR-3 (ATCC) was added to the epithelial-mesenchymal transition induction reagent StemXVivo EMT Inducing Media Supplement (R & D Systems), and 5 On the 10th day, the expression of the mesenchymal marker vimentin could be confirmed in some cells. Hereinafter, this cell is referred to as a cell in which epithelial-mesenchymal transition is induced. It was confirmed that the mesenchymal state was maintained even in suspension culture.

(実施例1)
 上述のように取得した上皮間葉転換が誘導された細胞と、培養卵巣がん細胞(OVCAR-3)と、末梢血単核細胞(Lonza社)とを、それぞれパラフィンを用いて固定し、標本を作成した後、公知の脱パラフィン処理を行った。脱パラフィン処理がされた試料に対し、光照射を行うおおまかな領域を設定し、当該領域をいくつかの単位領域に分割し、それぞれの単位領域に対し1μm程度のビーム径を有する波長532nmのレーザ光を照射してラマン散乱光を測定した。
Example 1
Cells obtained by inducing epithelial-mesenchymal transition obtained as described above, cultured ovarian cancer cells (OVCAR-3), and peripheral blood mononuclear cells (Lonza) were fixed using paraffin, and specimens Then, a known deparaffinization treatment was performed. A rough region for light irradiation is set for a sample subjected to deparaffinization treatment, the region is divided into several unit regions, and a laser having a wavelength of 532 nm having a beam diameter of about 1 μm for each unit region. Irradiated with light, the Raman scattered light was measured.

 各単位領域について取得したスペクトルを平均し、ガラスに対応するピークと自家蛍光とを公知のアルゴリズムにより除去した。本実施形態の細胞の判別方法により、ストークス散乱域において、トリプトファンに対応する749/cmの強度の、シトシンに対応する782/cmの強度に対する比率(図中「749cm-1/782cm-1」:判別パラメータ1-1)を算出した。また、同じ標本において、シトクロムcのポルフィリン環にある炭素原子間の二重結合に対応する1583/cmの強度の、炭素原子間の二重結合およびアミド結合に対応する1659/cmの強度に対する比率(図中、「1583cm-1/1659cm-1」:判別パラメータ2)を算出した。 The spectra acquired for each unit region were averaged, and peaks corresponding to glass and autofluorescence were removed by a known algorithm. The determination method of cell of the present embodiment, the Stokes scattering zone, the ratio of the intensity of 749 / cm, corresponding to a tryptophan, to the intensity of the corresponding 782 / cm to cytosine (in the figure "749cm -1 / 782cm -1": The discrimination parameter 1-1) was calculated. In the same specimen, the ratio of the intensity of 1583 / cm corresponding to the double bond between carbon atoms in the porphyrin ring of cytochrome c to the intensity of 1659 / cm corresponding to the double bond between carbon atoms and the amide bond (“1583 cm −1 / 1659 cm −1 ” in the figure: discrimination parameter 2) was calculated.

 図11は、各細胞の判別パラメータ1-1を横軸に、判別パラメータ2を縦軸にとったグラフを示した図である。培養卵巣がん細胞(OVCAR-3)と、上皮間葉転換(EMT)誘導された培養卵巣がん細胞と、末梢血単核細胞とのそれぞれのデータは、分かれてクラスターを形成している。
 図11のように与えられた測定値から、多変量解析の方法による各細胞に対応するデータ分布の重心や各点の当該重心からの距離等に基づいて、判定基準値および細胞プロフィール領域を様々な方法で設定することができる。
FIG. 11 is a graph showing the discrimination parameter 1-1 of each cell on the horizontal axis and the discrimination parameter 2 on the vertical axis. The respective data of cultured ovarian cancer cells (OVCAR-3), cultured epithelial-mesenchymal transition (EMT) -induced cultured ovarian cancer cells, and peripheral blood mononuclear cells are divided into clusters.
From the measurement values given as shown in FIG. 11, various determination reference values and cell profile regions are determined based on the centroid of the data distribution corresponding to each cell by the multivariate analysis method, the distance of each point from the centroid, and the like. Can be set in various ways.

(実施例2)
 実施例1で得られたラマンスペクトルをさらに解析し、本実施形態の細胞の判別方法により、ストークス散乱域において、フェニルアラニンに対応する1003/cmの強度の、飽和炭化水素のC-H結合に対応する1450/cmの強度に対する比率(図中「1003cm-1/1450cm-1」:判別パラメータ1-2)を算出した。
(Example 2)
The Raman spectrum obtained in Example 1 was further analyzed, and the C—H bond of saturated hydrocarbon having an intensity of 1003 / cm corresponding to phenylalanine in the Stokes scattering region was determined by the cell discrimination method of the present embodiment. ratio intensity of 1450 / cm to (in the figure "1003 cm -1 / 1450 cm -1 ': determining parameter 1-2) were calculated.

 図12は、各細胞の判別パラメータ1-2を横軸に、判別パラメータ2を縦軸にとったグラフを示した図である。上皮間葉転換(EMT)誘導された培養卵巣がん細胞と、培養卵巣がん細胞(OVCAR-3)および末梢血単核細胞の2つを1まとまりとしたデータとは、分かれてクラスターを形成している。しかしながら、図中の点Dは、培養卵巣がん細胞についての点であるが、培養卵巣がん細胞のクラスターより末梢血単核細胞のクラスターに近い位置に位置している。従って、判別パラメータ1-1と判別パラメータ2とを用いて細胞判別を行う場合、対象細胞Cが非上皮系のがん細胞か否かを判別する方が、培養卵巣がん細胞か末梢血単核細胞かを判別するよりも精度が高いと考えられる。 FIG. 12 is a graph showing the discrimination parameter 1-2 for each cell on the horizontal axis and the discrimination parameter 2 on the vertical axis. Epithelial-mesenchymal transition (EMT) -induced cultured ovarian cancer cells and data consisting of cultured ovarian cancer cells (OVCAR-3) and peripheral blood mononuclear cells are separated into clusters. is doing. However, point D in the figure is a point for cultured ovarian cancer cells, but is located closer to a cluster of peripheral blood mononuclear cells than a cluster of cultured ovarian cancer cells. Therefore, when cell discrimination is performed using the discrimination parameter 1-1 and the discrimination parameter 2, it is preferable to discriminate whether the target cell C is a non-epithelial cancer cell or a cultured ovarian cancer cell or a peripheral blood cell. It is considered that the accuracy is higher than that of determining whether the cell is a nuclear cell.

 本発明は上記実施形態の内容に限定されるものではない。本発明の技術的思想の範囲内で考えられるその他の態様も本発明の範囲内に含まれる。 The present invention is not limited to the contents of the above embodiment. Other embodiments conceivable within the scope of the technical idea of the present invention are also included in the scope of the present invention.

 次の優先権基礎出願の開示内容は引用文としてここに組み込まれる。
 日本国特許出願2017年第039727号(2017年3月2日出願)
The disclosure of the following priority application is hereby incorporated by reference.
Japanese Patent Application 2017-039727 (filed on March 2, 2017)

 40…情報処理装置、50…制御部、51…パラメータ算出部、52…判別部、53…流速制御部、54…情報出力部、70,70a,70b,70c…細胞プロフィール領域、90…流路構造体、91…細胞流路、92a,92b…補助流路、93a,93b…保持部、94a,94b…バイパス流路、100…計測装置、Cn…非上皮系のがん細胞。 DESCRIPTION OF SYMBOLS 40 ... Information processing apparatus 50 ... Control part 51 ... Parameter calculation part 52 ... Discrimination part 53 ... Flow rate control part 54 ... Information output part 70, 70a, 70b, 70c ... Cell profile area | region, 90 ... Flow path Structure 91, cell flow path, 92a, 92b, auxiliary flow path, 93a, 93b, holding portion, 94a, 94b, bypass flow path, 100, measuring device, Cn, non-epithelial cancer cell.

Claims (18)

 対象細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号を計測する計測工程と、
 計測された前記信号に基づいて、前記対象細胞が、非上皮系のがん細胞か否か判別する判別工程と、
を備える細胞の判別方法。
A measurement step of measuring a signal corresponding to an amount of at least one substance or bond selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in part or all of the target cell;
A determination step of determining whether the target cell is a non-epithelial cancer cell based on the measured signal;
A method for distinguishing cells comprising:
 請求項1に記載の細胞の判別方法において、
 前記対象細胞は、生体の血液に含まれる細胞である、細胞の判別方法。
The method for discriminating cells according to claim 1,
The cell discrimination method, wherein the target cell is a cell contained in blood of a living body.
 請求項1または2に記載の細胞の判別方法において、
 前記判別工程は、前記対象細胞が、非上皮系のがん細胞か、上皮系のがん細胞または非がん化細胞かの判別を行う細胞の判別方法。
The method for discriminating cells according to claim 1 or 2,
The discrimination step is a cell discrimination method for discriminating whether the target cell is a non-epithelial cancer cell, an epithelial cancer cell or a non-cancerous cell.
 請求項1から3までのいずれか一項に記載の細胞の判別方法において、
 前記所定のアミノ酸は、芳香族アミノ酸である細胞の判別方法。
In the method for discriminating cells according to any one of claims 1 to 3,
The method for discriminating a cell, wherein the predetermined amino acid is an aromatic amino acid.
 請求項4に記載の細胞の判別方法において、
 前記芳香族アミノ酸は、トリプトファンまたはフェニルアラニンである細胞の判別方法。
The method for discriminating cells according to claim 4,
The method for distinguishing cells in which the aromatic amino acid is tryptophan or phenylalanine.
 請求項1から5までのいずれか一項に記載の細胞の判別方法において、
 前記所定の核酸塩基は、シトシンである細胞の判別方法。
In the method for discriminating cells according to any one of claims 1 to 5,
The method for discriminating a cell, wherein the predetermined nucleobase is cytosine.
 請求項1から6までのいずれか一項に記載の細胞の判別方法において
 前記所定の原子間結合は、前記対象細胞の一部又は全部における有機化合物の量の指標となる原子間結合である細胞の判別方法。
The cell discriminating method according to any one of claims 1 to 6, wherein the predetermined interatomic bond is an interatomic bond that serves as an indicator of the amount of an organic compound in a part or all of the target cell. How to determine.
 請求項7に記載の細胞の判別方法において、
 前記所定の原子間結合は、炭素原子間の二重結合、アミド結合、飽和炭化水素におけるC-H結合、及びシトクロムcのポルフィリン環に存在する炭素原子間の二重結合からなる群より選択される少なくとも一以上の原子間結合である細胞の判別方法。
The method for discriminating cells according to claim 7,
The predetermined interatomic bond is selected from the group consisting of a double bond between carbon atoms, an amide bond, a C—H bond in a saturated hydrocarbon, and a double bond between carbon atoms present in the porphyrin ring of cytochrome c. A method for discriminating cells that are at least one interatomic bond.
 請求項1から3までのいずれか一項に記載の細胞の判別方法において、
 前記計測工程は、ラマン散乱光のストークス散乱域の強度において、半値幅の範囲に749/cmを含むピーク、半値幅の範囲に782/cmを含むピーク、半値幅の範囲に1583/cmを含むピーク、半値幅の範囲に1659/cmを含むピーク、半値幅の範囲に1003/cmを含むピーク、または半値幅の範囲に1450/cmを含むピークのデータから算出された統計値に基づいて前記物質または結合の量を算出する細胞の判別方法。
In the method for discriminating cells according to any one of claims 1 to 3,
In the intensity of the Stokes scattering region of Raman scattered light, the measurement step includes a peak including 749 / cm in the half-value range, a peak including 782 / cm in the half-value range, and 1583 / cm in the half-value range. Based on the statistical value calculated from the data of the peak, the peak including 1659 / cm in the range of half width, the peak including 1003 / cm in the range of half width, or the peak including 1450 / cm in the range of half width A cell discrimination method for calculating the amount of substance or binding.
 請求項1から9までのいずれか一項に記載の細胞の判別方法において、
 前記計測工程は、前記対象細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも二以上の物質または結合の量に対応する信号を計測し、
 前記判別工程は、一つの前記物質または結合の量と、他の前記物質または結合の量との比を算出し、一以上の前記比に基づいて、前記対象細胞の前記判別を行う細胞の判別方法。
In the method for discriminating cells according to any one of claims 1 to 9,
In the measurement step, a signal corresponding to an amount of at least two substances or bonds selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the target cell. Measure and
The discrimination step calculates a ratio between the amount of one substance or binding and the amount of the other substance or binding, and discriminates a cell for performing the discrimination of the target cell based on one or more of the ratios. Method.
 請求項1から9までのいずれか一項に記載の細胞の判別方法において、
 前記計測工程は、
 トリプトファンに対応するラマンスペクトルのピークの大きさを定量化した数値に対する、シトシンに対応するラマンスペクトルのピークの大きさを定量化した数値の比率、
 飽和炭化水素のC-H結合に対応するラマンスペクトルのピークの大きさを定量化した数値に対する、フェニルアラニンに対応するラマンスペクトルのピークの大きさを定量化した数値の比率、及び
 シトクロムcのポルフィリン環に存在する炭素原子間の二重結合に対応するラマンスペクトルのピークの大きさを定量化した数値に対する、炭素原子間の二重結合又はアミド結合に対応するラマンスペクトルのピークの大きさを定量化した数値の比率、
からなる群より選択される少なくとも一つの比率に基づいて、前記対象細胞の前記判別を行う細胞の判別方法。
In the method for discriminating cells according to any one of claims 1 to 9,
The measurement step includes
The ratio of the numerical value quantifying the peak size of the Raman spectrum corresponding to cytosine to the numerical value quantifying the peak size of the Raman spectrum corresponding to tryptophan,
The ratio of the numerical value of the Raman spectrum peak corresponding to phenylalanine to the numerical value of the Raman spectrum peak corresponding to the C—H bond of the saturated hydrocarbon, and the porphyrin ring of cytochrome c Quantify the size of the Raman spectrum peak corresponding to the double bond between the carbon atoms or the amide bond to the value quantified the size of the Raman spectrum peak corresponding to the double bond between the carbon atoms present in The ratio of
A cell discrimination method for performing the discrimination of the target cell based on at least one ratio selected from the group consisting of:
 請求項1から11までのいずれか一項に記載の細胞の判別方法により、検査対象から取得した細胞の判別を行うことと、
 前記判別の結果に基づいて、前記検査対象のがんの有無、程度または転移可能性についての情報を提供することと、を含むがんの検査方法。
Using the method for discriminating cells according to any one of claims 1 to 11 to discriminate cells obtained from a test object;
Providing information about the presence or absence, the degree, or the possibility of metastasis of the cancer to be examined based on the result of the discrimination, and a method for examining cancer.
 対象細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号を計測する計測部と、
 測定された前記信号に基づいて、前記対象細胞が、非上皮系のがん細胞か否かの判別を行った判別結果を出力する情報出力部と、
を備える計測装置。
A measurement unit that measures a signal corresponding to at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond or the amount of bonds in a part or all of the target cell;
Based on the measured signal, an information output unit that outputs a discrimination result obtained by discriminating whether the target cell is a non-epithelial cancer cell;
A measuring device comprising:
 請求項13に記載の計測装置において、
 細胞が移動する流路と、
 前記流路と接続され、一部の前記細胞を保持する保持部と、
 前記保持部に光を照射する照射部と、
を備え、
 前記計測部は、前記保持部にある前記細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号を計測する計測装置。
The measuring device according to claim 13,
A flow path through which cells move;
A holding part connected to the flow path and holding a part of the cells;
An irradiation unit for irradiating the holding unit with light;
With
The measurement unit has an amount of at least one substance or bond selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond in a part or all of the cells in the holding unit. A measuring device that measures the corresponding signal.
 請求項14に記載の計測装置において、
 複数の前記保持部と、
 複数の前記照射部とを備える計測装置。
The measuring device according to claim 14,
A plurality of the holding portions;
A measuring device comprising a plurality of the irradiation units.
 請求項13から15までのいずれか一項に記載の計測装置において、
 前記判別結果に基づいて前記細胞を分離する操作を制御する分離制御部を備える計測装置。
In the measuring device according to any one of claims 13 to 15,
A measurement apparatus comprising a separation control unit that controls an operation of separating the cells based on the determination result.
 請求項13から16までのいずれか一項に記載の計測装置を備え、
 前記情報出力部は、前記細胞が取得された検査対象のがんの有無、程度または転移可能性についての情報を出力するがんの検査装置。
A measuring device according to any one of claims 13 to 16, comprising:
The information output unit is a cancer inspection apparatus that outputs information about the presence, degree, or metastasis possibility of a cancer to be examined from which the cells are acquired.
 対象細胞の一部または全部における、所定のアミノ酸、所定の核酸塩基および所定の原子間結合からなる群から選択される少なくとも一以上の物質または結合の量に対応する信号に基づいて、前記対象細胞が、非上皮系のがん細胞か否かの判別を行う判別処理と、
 前記判別処理の結果についての情報、または前記対象細胞が取得された検査対象のがんの有無、程度または転移可能性についての情報を出力する出力処理を処理装置に行わせる検査プログラム。
Based on a signal corresponding to at least one substance selected from the group consisting of a predetermined amino acid, a predetermined nucleobase, and a predetermined interatomic bond or the amount of binding in a part or all of the target cell Is a determination process for determining whether or not the cancer cell is a non-epithelial cancer cell,
An inspection program for causing a processing device to perform an output process for outputting information on a result of the discrimination process, or information on the presence / absence, degree, or metastasis possibility of a cancer to be inspected from which the target cell is acquired.
PCT/JP2018/008115 2017-03-02 2018-03-02 Method for distinguishing cells, method for inspecting cancer, measurement device, device for inspecting cancer, and inspection program Ceased WO2018159833A1 (en)

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