1. Chromosome arm aneuploidies shape tumour evolution and drug response
- Author
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Harald Oey, J. Lynn Fink, Ankit Shukla, Kum Kum Khanna, Eloise Dray, Jonathan Ellis, Alexandre S. Cristino, Thu H.M. Nguyen, John P. Grady, Dirk P. Kroese, Lutz Krause, Pascal H.G. Duijf, Sarat B. Moka, Shukla, Ankit, Nguyen, Thu HM, Moka, Sarat B, Ellis, Jonathan J, Grady, John P, Oey, Harald, Cristino, Alexandre S, Khanna, Kum Kum, Kroese, Dirk P, Krause, Lutz, Dray, Eloise, Fink, J Lynn, and Duijf, Pascal HG
- Subjects
0301 basic medicine ,Mutation rate ,General Physics and Astronomy ,Aneuploidy ,Kaplan-Meier Estimate ,Drug resistance ,Metastasis ,Machine Learning ,0302 clinical medicine ,Mutation Rate ,Neoplasms ,Chromosomes, Human ,Medicine ,chromosome ,lcsh:Science ,Multidisciplinary ,drug ,Prognosis ,Cancer therapeutic resistance ,machine learning ,030220 oncology & carcinogenesis ,Chromosome Arm ,Systems biology ,tumor ,Science ,Models, Biological ,Article ,General Biochemistry, Genetics and Molecular Biology ,developmental biology ,03 medical and health sciences ,Cell Line, Tumor ,evolution ,mental disorders ,Humans ,Chemotherapy ,cancer ,cardiovascular diseases ,Stochastic Processes ,business.industry ,Chromosome ,Cancer ,nutritional and metabolic diseases ,General Chemistry ,medicine.disease ,030104 developmental biology ,Drug Resistance, Neoplasm ,Pharmacogenomics ,Cancer research ,lcsh:Q ,cell component ,business - Abstract
Chromosome arm aneuploidies (CAAs) are pervasive in cancers. However, how they affect cancer development, prognosis and treatment remains largely unknown. Here, we analyse CAA profiles of 23,427 tumours, identifying aspects of tumour evolution including probable orders in which CAAs occur and CAAs predicting tissue-specific metastasis. Both haematological and solid cancers initially gain chromosome arms, while only solid cancers subsequently preferentially lose multiple arms. 72 CAAs and 88 synergistically co-occurring CAA pairs multivariately predict good or poor survival for 58% of 6977 patients, with negligible impact of whole-genome doubling. Additionally, machine learning identifies 31 CAAs that robustly alter response to 56 chemotherapeutic drugs across cell lines representing 17 cancer types. We also uncover 1024 potential synthetic lethal pharmacogenomic interactions. Notably, in predicting drug response, CAAs substantially outperform mutations and focal deletions/amplifications combined. Thus, CAAs predict cancer prognosis, shape tumour evolution, metastasis and drug response, and may advance precision oncology., Chromosome arm-level aneuploidies (CAAs) are frequently observed in cancer. Here, the authors analyse CAA landscapes across different tumour types, relating these chromosome arm gains and losses to tumour evolution, metastasis, patient survival and response to a range of anti-cancer therapies.
- Published
- 2020