Abstract

Many primary tumours have low levels of molecular oxygen (hypoxia), and hypoxic tumours respond poorly to therapy. Pan-cancer molecular hallmarks of tumour hypoxia remain poorly understood, with limited comprehension of its associations with specific mutational processes, non-coding driver genes and evolutionary features. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we quantify hypoxia in 1188 tumours spanning 27 cancer types. Elevated hypoxia associates with increased mutational load across cancer types, irrespective of underlying mutational class. The proportion of mutations attributed to several mutational signatures of unknown aetiology directly associates with the level of hypoxia, suggesting underlying mutational processes for these signatures. At the gene level, driver mutations in TP53, MYC and PTEN are enriched in hypoxic tumours, and mutations in PTEN interact with hypoxia to direct tumour evolutionary trajectories. Overall, hypoxia plays a critical role in shaping the genomic and evolutionary landscapes of cancer.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Details

Title
Divergent mutational processes distinguish hypoxic and normoxic tumours
Author
Bhandari Vinayak 1   VIAFID ORCID Logo  ; Li, Constance H 2   VIAFID ORCID Logo  ; Bristow, Robert G 3   VIAFID ORCID Logo  ; Boutros, Paul C 4   VIAFID ORCID Logo 

 University of Toronto, Department of Medical Biophysics, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Ontario Institute for Cancer Research, Toronto, Canada (GRID:grid.419890.d) (ISNI:0000 0004 0626 690X) 
 University of Toronto, Department of Medical Biophysics, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Ontario Institute for Cancer Research, Toronto, Canada (GRID:grid.419890.d) (ISNI:0000 0004 0626 690X); University of California, Department of Human Genetics, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 University of Manchester, Division of Cancer Sciences, Faculty of Biology, Health and Medicine, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407); The Christie NHS Foundation Trust, Manchester, UK (GRID:grid.412917.8) (ISNI:0000 0004 0430 9259); CRUK Manchester Institute and Manchester Cancer Research Centre, Manchester, UK (GRID:grid.412917.8) 
 University of Toronto, Department of Medical Biophysics, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); University of California, Department of Human Genetics, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of Toronto, Department of Pharmacology and Toxicology, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Vector Institute for Artificial Intelligence, Toronto, Canada (GRID:grid.494618.6); University of California, Department of Urology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California Los Angeles, Jonsson Comprehensive Cancer Centre, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California Los Angeles, Institute for Precision Health, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2351472183
Copyright
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.