Pathway and network analysis of cancer genomes

Pau Creixell; Jueri Reimand; Syed Haider; Guanming Wu; Tatsuhiro Shibata; Miguel Vazquez; Ville Mustonen; Abel Gonzalez-Perez; John Pearson; Chris Sander; Rune Linding

doi:10.1038/NMETH.3440

University of Toronto
Ontario Institute for Cancer Research
Oregon Health and Science University
National Cancer Center
Spanish National Cancer Research Centre
Wellcome Sanger Institute
Pompeu Fabra University
University of Queensland
Memorial Sloan-Kettering Cancer Center

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations.

Original language	English
Journal	Nature Methods
Volume	12
Issue number	7
Pages (from-to)	615-621
Number of pages	7
ISSN	1548-7091
DOIs	https://doi.org/10.1038/NMETH.3440
Publication status	Published - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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Cite this

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title = "Pathway and network analysis of cancer genomes",

abstract = "Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations.",

author = "Pau Creixell and Jueri Reimand and Syed Haider and Guanming Wu and Tatsuhiro Shibata and Miguel Vazquez and Ville Mustonen and Abel Gonzalez-Perez and John Pearson and Chris Sander and Rune Linding",

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AU - Creixell, Pau

AU - Reimand, Jueri

AU - Haider, Syed

AU - Wu, Guanming

AU - Shibata, Tatsuhiro

AU - Vazquez, Miguel

AU - Mustonen, Ville

AU - Gonzalez-Perez, Abel

AU - Pearson, John

AU - Sander, Chris

AU - Linding, Rune

PY - 2015

Y1 - 2015

N2 - Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations.

AB - Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations.

U2 - 10.1038/NMETH.3440

DO - 10.1038/NMETH.3440

M3 - Journal article

SN - 1548-7091

VL - 12

SP - 615

EP - 621

JO - Nature Methods

JF - Nature Methods

IS - 7