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Updated: Feb 4, 2026

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

Published on: March 16, 2011

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Typing tumors using pathways selected by somatic evolution

Sheng Wang1, Jianzhu Ma2,3, Wei Zhang2,3

  • 1Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.

Nature Communications
|October 10, 2018
PubMed

Insights

This study introduces an evolutionarily selected pathway (ESP) map to improve cancer genome analysis. By focusing on tumor-specific interactions, it enhances the identification of key cancer pathways and subtypes, aiding in diagnosis and treatment.

Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Current cancer genome analysis relies on broad pathway maps, which include irrelevant interactions.
  • This noise obscures functionally significant cancer pathways and driver mutations.

Purpose of the Study:

  • To develop a method for creating tumor-specific molecular networks.
  • To improve the identification and classification of cancer subtypes based on evolutionary signatures.

Main Methods:

  • Constructed stringent, tumor-specific protein interaction networks using signatures of epistatic selection.
  • Applied the evolutionarily selected pathway (ESP) framework to analyze major cancer genome atlases.
  • Derived a hierarchical classification of tumor subtypes linked to characteristic mutated pathways.

Main Results:

  • Identified clinically prognostic and predictive pathways, such as TP53-AXIN-ARHGEF17 in liver cancer and CYLC2-STK11-STK11IP in lung cancer.
  • Validated these findings in independent patient cohorts.
  • Demonstrated that the ESP framework significantly refines the definition of cancer pathways and subtypes.

Conclusions:

  • The ESP map offers a more accurate and robust approach to analyzing cancer genomes.
  • This framework improves the biological and clinical relevance of identified cancer pathways and subtypes.
  • Enhances the potential for precision oncology by better defining tumor characteristics.

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