Efforts are being directed to systematically analyze the non-coding regions of the genome for cancer-driving mutations. 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. 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. 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380472PMC
http://dx.doi.org/10.1038/s41588-018-0211-zDOI Listing

Publication Analysis

Top Keywords

colorectal cancer
8
non-coding regions
8
regions genome
8
chromosome conformation
8
conformation capture
8
promoter capture
4
capture hi-c-based
4
hi-c-based identification
4
identification recurrent
4
recurrent noncoding
4

Similar Publications

Background: In recent years, the association between systemic immune-inflammation index (SII) and the prognosis of patients with colorectal cancer (CRC) has remained a topic of considerable debate. To address this, the present study was carried out to investigate the prognostic significance of SII in CRC.

Methods: Databases including PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science were scrutinized up to March 27, 2024.

View Article and Find Full Text PDF

Colorectal cancer (CRC) is the third most prevalent malignancy and the second leading cause of cancer-related mortality worldwide, with an increasing shift towards younger age of onset. In recent years, there has been increasing recognition of the significance of tRNA-derived small RNAs (tsRNAs), encompassing tRNA-derived fragments (tRFs) and tRNA halves (tiRNAs). Their involvement in regulating translation, gene expression, reverse transcription, and epigenetics has gradually come to light.

View Article and Find Full Text PDF

Cancer-associated fibroblasts in carcinogenesis.

J Transl Med

January 2025

Department of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.

In contemporary times, cancer poses the most significant threat to human life and safety. Scientists have relentlessly pursued the intricacies of carcinogenesis and explored ways to prevent and treat cancer. Carcinogenesis is a complex, multi-faceted, and multi-stage process, with numerous underlying causes, including inflammation and fibrosis.

View Article and Find Full Text PDF

Background: Colorectal cancer (CRC) exhibits a high incidence globally, with the liver being the most common site of distant metastasis. At the time of diagnosis, 20-30% of CRC patients already present with liver metastases. Colorectal liver metastasis (CRLM) is a major cause of mortality among CRC patients.

View Article and Find Full Text PDF

Background: Colorectal cancer (CRC) is a prevalent malignancy worldwide, associated with significant morbidity and mortality. Cyclin-dependent kinase 1 (CDK1) plays a crucial role in cell cycle regulation and has been implicated in various cancers. This study aimed to evaluate the prognostic value of CDK1 in CRC and to identify traditional Chinese medicines (TCM) that can target CDK1 as potential treatments for CRC.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!