Identifying Epistasis in Cancer Genomes

A Delicate Affair

Journal Article (2019)
Authors

Joris van de Haar (University of California, Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Sander Canisius (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Michael K. Yu (University of California)

Emile Eugene Voest (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

LFA Wessels (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, TU Delft - Pattern Recognition and Bioinformatics)

Trey Ideker (University of California)

Research Group
Pattern Recognition and Bioinformatics
To reference this document use:
https://doi.org/10.1016/j.cell.2019.05.005
More Info
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Publication Year
2019
Language
English
Research Group
Pattern Recognition and Bioinformatics
Issue number
6
Volume number
177
Pages (from-to)
1375-1383
DOI:
https://doi.org/10.1016/j.cell.2019.05.005

Abstract

Recent studies of the tumor genome seek to identify cancer pathways as groups of genes in which mutations are epistatic with one another or, specifically, “mutually exclusive.” Here, we show that most mutations are mutually exclusive not due to pathway structure but to interactions with disease subtype and tumor mutation load. In particular, many cancer driver genes are mutated preferentially in tumors with few mutations overall, causing mutations in these cancer genes to appear mutually exclusive with numerous others. Researchers should view current epistasis maps with caution until we better understand the multiple cause-and-effect relationships among factors such as tumor subtype, positive selection for mutations, and gross tumor characteristics including mutational signatures and load. An analysis of cancer genomes provides a rethink of how to interpret mutations epistatic to one another as well as the effects on phenotypes and therapeutic vulnerabilities.

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