Genomic landscape of DNA repair genes in cancer

Young Kwang Chae1,2,3, Jonathan F Anker3, Benedito A Carneiro1,2,3

  • 1Northwestern Medicine Developmental Therapeutics Institute, Chicago, IL, USA.

Oncotarget
|March 24, 2016
PubMed

Insights

This study analyzes DNA repair gene alterations in cancer, identifying frequently mutated genes and their impact on tumor mutation burden. Findings reveal potential biomarkers and therapeutic targets for cancer treatment.

Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • DNA repair gene mutations are common in cancer, but their collective genomic landscape and functional impact remain understudied.
  • Understanding these alterations is crucial for identifying cancer drivers and developing targeted therapies.

Purpose of the Study:

  • To comprehensively analyze the genomic landscape (mutations, CNVs, expression) of DNA repair genes and indirect caretakers in cancer.
  • To identify candidate genes for cancer biomarkers, therapeutic targets, and immunotherapy predictors.

Main Methods:

  • Compiled comprehensive gene lists and analyzed mutation, copy number variation (CNV), and expression frequencies using COSMIC and TCGA databases.
  • Investigated gene co-occurrence, clinical outcomes, and mutation burden across various cancer types.

Main Results:

  • Identified the top 20 most frequent DNA repair genes with mutations, CNVs, or altered expression.
  • Observed mutual exclusivity in CNV and expression patterns, with positive correlations between CNV gain/loss and up/down-regulation.
  • Found that DNA repair gene mutations often correlate with increased tumor mutation burden, suggesting roles in genomic instability.

Conclusions:

  • Genomic alterations in DNA repair genes provide insights into their tumor suppressive or oncogenic functions.
  • The observed patterns of mutual exclusivity and correlation support the functional significance of these genomic changes.
  • This research offers valuable lists of candidate genes for potential use as biomarkers and therapeutic targets in oncology.