Genome-wide analysis of noncoding regulatory mutations in cancer

Nils Weinhold1, Anders Jacobsen2, Nikolaus Schultz1

  • 1Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Nature Genetics
|September 29, 2014
PubMed

Insights

Scientists analyzed 863 tumor genomes to find noncoding mutations in cancer. They identified new mutations in regulatory elements, revealing a largely unexplored area of the cancer genome with clinical potential.

Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • Cancer arises from somatic genomic alterations, with a focus on protein-coding genes.
  • The protein-coding exome represents less than 2% of the human genome, leaving noncoding regions largely unexplored.
  • Large-scale sequencing studies have advanced cancer genomics but primarily target coding regions.

Purpose of the Study:

  • To systematically identify recurrently mutated noncoding regions in cancer genomes.
  • To discover noncoding mutations with potential regulatory impact across the entire genome.
  • To explore the clinical relevance of noncoding mutations in cancer.

Main Methods:

  • Analysis of complete genome sequences from 863 human tumors (The Cancer Genome Atlas and other sources).
  • Application of novel frequency- and sequence-based approaches to scan the genome for noncoding mutations.
  • Identification of mutations in regulatory elements and assessment of their impact on gene expression and prognosis.

Main Results:

  • Recurrent mutations were identified in regulatory elements upstream of PLEKHS1, WDR74, and SDHD.
  • Previously identified TERT promoter mutations were confirmed.
  • SDHD promoter mutations, frequent in melanoma, were associated with reduced gene expression and poor prognosis.

Conclusions:

  • The non-protein-coding cancer genome is a significant and largely unexplored reservoir of cancer-driving mutations.
  • Recurrent noncoding mutations can have regulatory functions and impact clinical outcomes.
  • These findings represent a step towards a comprehensive, whole-genome approach to cancer research and clinical applications.

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