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Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer
Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer
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Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer
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Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer
Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer

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Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer
Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer
Journal Article

Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer

2018
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Overview
Efforts are being directed to systematically analyze the non-coding regions of the genome for cancer-driving mutations 1 – 6 . cis-regulatory elements (CREs) represent a highly enriched subset of the non-coding regions of the genome in which to search for such mutations. Here we use high-throughput chromosome conformation capture techniques (Hi-C) for 19,023 promoter fragments to catalog the regulatory landscape of colorectal cancer in cell lines, mapping CREs and integrating these with whole-genome sequence and expression data from The Cancer Genome Atlas 7 , 8 . We identify a recurrently mutated CRE interacting with the ETV1 promoter affecting gene expression. ETV1 expression influences cell viability and is associated with patient survival. We further refine our understanding of the regulatory effects of copy-number variations, showing that RASL11A is targeted by a previously identified enhancer amplification 1 . This study reveals new insights into the complex genetic alterations driving tumor development, providing a paradigm for employing chromosome conformation capture to decipher non-coding CREs relevant to cancer biology. Promoter capture Hi-C in colorectal cancer cells integrated with cancer genome and expression data identifies a noncoding, cis-regulatory element that is recurrently mutated in cancer, affecting ETV1 expression, cell viability and patient survival.