A Significant Regulatory Mutation Burden at a High-Affinity Position of the CTCF Motif in Gastrointestinal Cancers

Husen M Umer1, Marco Cavalli2, Michal J Dabrowski3

  • 1Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, SE-751-24, Sweden.

Human Mutation
|May 14, 2016
PubMed

Insights

This study introduces a novel method to identify cancer-driving regulatory mutations affecting transcription factor binding. The approach reveals numerous candidate mutations linked to key cancer genes and pathways.

Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Somatic mutations are key drivers of cancer development.
  • Regulatory mutations, though less studied than coding mutations, are increasingly recognized in cancer.
  • Transcription factors (TFs) play crucial roles in gene regulation and cancer.

Purpose of the Study:

  • To develop a new strategy for identifying putative regulatory mutations.
  • To investigate the impact of these mutations on transcription factor binding affinity.
  • To explore the association of identified regulatory mutations with cancer-related genes and pathways.

Main Methods:

  • Utilizing experimentally established transcription factor (TF) binding motifs.
  • Developing a computational strategy to predict regulatory mutations impacting TF binding affinity.
  • Analyzing mutation data in hepatocellular carcinoma, esophagus, gastric, and pancreatic cancers.
  • Assessing the enrichment of cancer-related genes near mutated motifs.

Main Results:

  • Identified 1,552 candidate regulatory mutations predicted to reduce TF binding affinity.
  • Found mutations affecting TF binding in hepatocellular carcinoma.
  • Observed CTCF binding disruption by mutations in esophagus, gastric, and pancreatic cancers.
  • Demonstrated significant enrichment of cancer-associated genes, tumor suppressors, and KEGG cancer pathway genes near mutated motifs.

Conclusions:

  • The developed strategy effectively identifies potential regulatory mutations driving cancer.
  • These findings highlight the importance of regulatory regions in cancer etiology.
  • The approach is broadly applicable for discovering cancer-contributing genes across various cancer types.

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