Massively parallel screen uncovers many rare 3′ UTR variants regulating mRNA abundance of cancer driver genes

Ting Fu, Kofi Amoah, Tracey W. Chan, Jae Hoon Bahn, Jae Hyung Lee, Sari Terrazas, Rockie Chong, Sriram Kosuri, Xinshu Xiao

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Understanding the function of rare non-coding variants represents a significant challenge. Using MapUTR, a screening method, we studied the function of rare 3′ UTR variants affecting mRNA abundance post-transcriptionally. Among 17,301 rare gnomAD variants, an average of 24.5% were functional, with 70% in cancer-related genes, many in critical cancer pathways. This observation motivated an interrogation of 11,929 somatic mutations, uncovering 3928 (33%) functional mutations in 155 cancer driver genes. Functional MapUTR variants were enriched in microRNA- or protein-binding sites and may underlie outlier gene expression in tumors. Further, we introduce untranslated tumor mutational burden (uTMB), a metric reflecting the amount of somatic functional MapUTR variants of a tumor and show its potential in predicting patient survival. Through prime editing, we characterized three variants in cancer-relevant genes (MFN2, FOSL2, and IRAK1), demonstrating their cancer-driving potential. Our study elucidates the function of tens of thousands of non-coding variants, nominates non-coding cancer driver mutations, and demonstrates their potential contributions to cancer.

Original languageEnglish
Article number3335
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - Dec 2024

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© The Author(s) 2024.

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