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MX2019013953A - Metodo basado en expresion genica para clasificar pacientes con cancer de riñon de acuerdo al riesgo de recurrencia. - Google Patents

Metodo basado en expresion genica para clasificar pacientes con cancer de riñon de acuerdo al riesgo de recurrencia.

Info

Publication number
MX2019013953A
MX2019013953A MX2019013953A MX2019013953A MX2019013953A MX 2019013953 A MX2019013953 A MX 2019013953A MX 2019013953 A MX2019013953 A MX 2019013953A MX 2019013953 A MX2019013953 A MX 2019013953A MX 2019013953 A MX2019013953 A MX 2019013953A
Authority
MX
Mexico
Prior art keywords
kidney cancer
patient
calculating
gene expression
expression profile
Prior art date
Application number
MX2019013953A
Other languages
English (en)
Inventor
Shak Steven
Andrew Watson George
R Crager Michael
Maddala Tara
Lopatin Margarita
Goddard Audrey
Knezevic Dejan
Svedman Christer
Original Assignee
Genomic Health Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Genomic Health Inc filed Critical Genomic Health Inc
Publication of MX2019013953A publication Critical patent/MX2019013953A/es

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING 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
    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • C12Q1/6886—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING 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
    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/118—Prognosis of disease development
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING 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
    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/158—Expression markers

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Physics & Mathematics (AREA)
  • Genetics & Genomics (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Analytical Chemistry (AREA)
  • Pathology (AREA)
  • Organic Chemistry (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Theoretical Computer Science (AREA)
  • Immunology (AREA)
  • Public Health (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Evolutionary Biology (AREA)
  • Microbiology (AREA)
  • Hospice & Palliative Care (AREA)
  • Data Mining & Analysis (AREA)
  • Oncology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Biochemistry (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

La presente invención proporciona ensayos moleculares basados en algoritmo que implican la medición de los niveles de expresión de genes de una muestra biológica obtenida de un paciente con cáncer de riñón. La presente invención también proporciona métodos de obtención de un puntaje cuantitativo para un paciente con cáncer de riñón en base a la medición de los niveles de expresión de genes de una muestra biológica obtenida de un paciente con cáncer de riñón. Los genes pueden agruparse en subconjuntos de genes funcionales para calcular el puntaje cuantitativo y los subconjuntos de genes pueden ponderarse de acuerdo con su aporte a la recidiva del cáncer.
MX2019013953A 2013-05-30 2015-09-14 Metodo basado en expresion genica para clasificar pacientes con cancer de riñon de acuerdo al riesgo de recurrencia. MX2019013953A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201361829100P 2013-05-30 2013-05-30

Publications (1)

Publication Number Publication Date
MX2019013953A true MX2019013953A (es) 2020-01-30

Family

ID=51989393

Family Applications (2)

Application Number Title Priority Date Filing Date
MX2015012782A MX369911B (es) 2013-05-30 2014-05-29 Método basado en expresión génica para clasificar pacientes con cãncer de riñón de acuerdo al riesgo de recurrencia.
MX2019013953A MX2019013953A (es) 2013-05-30 2015-09-14 Metodo basado en expresion genica para clasificar pacientes con cancer de riñon de acuerdo al riesgo de recurrencia.

Family Applications Before (1)

Application Number Title Priority Date Filing Date
MX2015012782A MX369911B (es) 2013-05-30 2014-05-29 Método basado en expresión génica para clasificar pacientes con cãncer de riñón de acuerdo al riesgo de recurrencia.

Country Status (11)

Country Link
US (3) US10181008B2 (es)
EP (2) EP3004392B1 (es)
JP (3) JP2016521979A (es)
AU (2) AU2014274135B2 (es)
CA (2) CA2903878C (es)
DK (1) DK3004392T3 (es)
ES (1) ES2829415T3 (es)
IL (2) IL240919B (es)
MX (2) MX369911B (es)
SG (2) SG10201709537PA (es)
WO (1) WO2014194078A1 (es)

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Also Published As

Publication number Publication date
EP3004392A4 (en) 2017-01-25
JP7301798B2 (ja) 2023-07-03
AU2020204502B2 (en) 2022-02-17
US20160048632A1 (en) 2016-02-18
AU2014274135A1 (en) 2015-09-24
EP3004392A1 (en) 2016-04-13
JP2018161151A (ja) 2018-10-18
IL240919A0 (en) 2015-10-29
MX2015012782A (es) 2016-02-05
IL240919B (en) 2021-06-30
CA3093128A1 (en) 2014-12-04
US11551782B2 (en) 2023-01-10
NZ711680A (en) 2021-05-28
SG11201506987VA (en) 2015-10-29
EP3825420A1 (en) 2021-05-26
US20210151122A1 (en) 2021-05-20
CA2903878A1 (en) 2014-12-04
CA3093128C (en) 2023-01-03
SG10201709537PA (en) 2017-12-28
US20190095575A1 (en) 2019-03-28
IL283548A (en) 2021-07-29
EP3004392B1 (en) 2020-09-30
US20220044760A9 (en) 2022-02-10
MX369911B (es) 2019-11-26
NZ752676A (en) 2021-05-28
CA2903878C (en) 2020-10-27
DK3004392T3 (da) 2020-10-26
ES2829415T3 (es) 2021-05-31
US10181008B2 (en) 2019-01-15
JP2016521979A (ja) 2016-07-28
AU2020204502A1 (en) 2020-07-23
HK1223132A1 (en) 2017-07-21
WO2014194078A1 (en) 2014-12-04
AU2014274135B2 (en) 2020-04-09
JP2020191896A (ja) 2020-12-03

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