Functional chromatin features are associated with structural mutations in cancer

Krzysztof R Grzeda, Beryl Royer-Bertrand, Koichiro Inaki

  • 1The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06030, USA. jeff.chuang@jax.org.

BMC Genomics
|November 24, 2014
PubMed
Abstract

Insights

Structural mutations (SMs) are linked to protein binding and open chromatin across diverse cancers. This suggests a common mechanism influences where these critical DNA changes occur in cancer development.

Area of Science:

  • Genomics
  • Cancer Biology
  • Epigenetics

Background:

  • Structural mutations (SMs) are key drivers of cancer development.
  • Breakpoint locations in DNA double-strand breaks (DSBs) show varied patterns in transcribed regions across different cancer types.
  • The mechanisms behind these breakpoint patterns, potentially involving protein binding and chromatin state, are not well understood.

Purpose of the Study:

  • To investigate the generalizability of the correlation between protein-DNA binding (and open chromatin) and structural mutation breakpoint locations across diverse cancer types.
  • To explore potential mechanisms influencing the distribution of structural mutations in cancer genomes.

Main Methods:

  • Comprehensive analysis of 457 ENCODE protein binding ChIP-seq experiments, 125 DnaseI, and 24 FAIRE experiments.
  • Integration with 14,600 structural mutations from 8 diverse cancer datasets (147 samples).
  • Statistical analysis of enrichment patterns of protein binding and open chromatin near mutation breakpoints.

Main Results:

  • Enrichment of protein binding and open chromatin near structural mutation breakpoints (up to 200 kb) was observed in most cancers.
  • Breakpoint enrichment was consistently higher in regions distant from genes compared to regions proximal to genes across all cancer types.
  • A stronger enrichment effect was noted at sites with multiple protein bindings.

Conclusions:

  • Protein binding and open chromatin states are consistently associated with nearby structural mutation breakpoints in various cancer datasets.
  • These findings suggest a unified mechanism influencing structural mutation locations across different cancers, independent of transcriptional activity bias.
  • The study highlights the role of epigenetic factors in shaping cancer-associated genomic alterations.

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