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.

The function of rare non-coding variants remains challenging to decipher. Here, the authors developed MapUTR to uncover 10,524 functional rare 3’ UTR variants regulating mRNA abundance, many of which reside in cancer driver genes.

Details

Title
Massively parallel screen uncovers many rare 3′ UTR variants regulating mRNA abundance of cancer driver genes
Author
Fu, Ting 1   VIAFID ORCID Logo  ; Amoah, Kofi 2   VIAFID ORCID Logo  ; Chan, Tracey W. 2 ; Bahn, Jae Hoon 3 ; Lee, Jae-Hyung 4   VIAFID ORCID Logo  ; Terrazas, Sari 5 ; Chong, Rockie 6 ; Kosuri, Sriram 6 ; Xiao, Xinshu 7   VIAFID ORCID Logo 

 University of California, Los Angeles, Molecular, Cellular and Integrative Physiology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Bioinformatics Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); Kyung Hee University, Department of Life and Nanopharmaceutical Sciences & Oral Microbiology, School of Dentistry, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Molecular Biology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 University of California, Los Angeles, Department of Chemistry and Biochemistry, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 University of California, Los Angeles, Molecular, Cellular and Integrative Physiology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Bioinformatics Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Molecular Biology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Jonsson Comprehensive Cancer Center, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
Pages
3335
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3040992565
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.