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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.
Abstract:
Somatic mutations drive cancer and there are established ways to study those in coding sequences. It has been shown that some regulatory mutations are over-represented in cancer. We develop a new strategy to find putative regulatory mutations based on experimentally established motifs for transcription factors (TFs). In total, we find 1,552 candidate regulatory mutations predicted to significantly reduce binding affinity of many TFs in hepatocellular carcinoma and affecting binding of CTCF also in esophagus, gastric, and pancreatic cancers. Near mutated motifs, there is a significant enrichment of (1) genes mutated in cancer, (2) tumor-suppressor genes, (3) genes in KEGG cancer pathways, and (4) sets of genes previously associated to cancer. Experimental and functional validations support the findings. The strategy can be applied to identify regulatory mutations in any cell type with established TF motifs and will aid identifications of genes contributing to cancer.
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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