Large-scale multiomic analysis identifies non-coding somatic driver mutations and nominates <i>ZFP36L2</i> as a driver gene for pancreatic ductal adenocarcinoma.

ABSTRACT:

Background

The identification and characterisation of somatic cancer driver mutations in the non-coding genome remains challenging.

Objective

To broadly characterise non-coding driver mutations for pancreatic ductal adenocarcinoma (PDAC).

Design

Using mutation calls from whole-genome sequence data in PDACs and genome-scale maps of accessible gene regulatory regions in normal-derived and tumour-derived pancreatic samples, we analysed enrichment of non-coding mutations in gene regulatory regions relevant to normal-derived and tumour-derived pancreatic contexts. Functional follow-up of potential driver mutations was performed using chromatin interaction analyses, massively parallel reporter assays (MPRA) and targeted analysis of selected non-coding somatic mutations (NCS

SUBMITTER: Zhong J 

PROVIDER: S-EPMC12707995 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature