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Typing tumors using pathways selected by somatic evolution.

Sheng Wang | Jianzhu Ma | Wei Zhang | John Paul Shen | Justin Huang | Jian Peng | Trey Ideker
Nature communications | 2018

Many recent efforts to analyze cancer genomes involve aggregation of mutations within reference maps of molecular pathways and protein networks. Here, we find these pathway studies are impeded by molecular interactions that are functionally irrelevant to cancer or the patient's tumor type, as these interactions diminish the contrast of driver pathways relative to individual frequently mutated genes. This problem can be addressed by creating stringent tumor-specific networks of biophysical protein interactions, identified by signatures of epistatic selection during tumor evolution. Using such an evolutionarily selected pathway (ESP) map, we analyze the major cancer genome atlases to derive a hierarchical classification of tumor subtypes linked to characteristic mutated pathways. These pathways are clinically prognostic and predictive, including the TP53-AXIN-ARHGEF17 combination in liver and CYLC2-STK11-STK11IP in lung cancer, which we validate in independent cohorts. This ESP framework substantially improves the definition of cancer pathways and subtypes from tumor genome data.

Pubmed ID: 30297789

Research resources used in this publication

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: P41 GM103504
  • Agency: NHGRI NIH HHS, United States
    Id: R01 HG009979
  • Agency: NCI NIH HHS, United States
    Id: U54 CA209891
  • Agency: NIGMS NIH HHS, United States
    Id: U54 GM114838

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MATLAB (tool)

RRID:SCR_001622

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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RRID:SCR_004897

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STRING (tool)

RRID:SCR_005223

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