Migration rather than proliferation transcriptomic signatures are strongly associated with breast cancer patient survival

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作者
Nishanth Ulhas Nair
Avinash Das
Vasiliki-Maria Rogkoti
Michiel Fokkelman
Richard Marcotte
Chiaro G. de Jong
Esmee Koedoot
Joo Sang Lee
Isaac Meilijson
Sridhar Hannenhalli
Benjamin G. Neel
Bob van de Water
Sylvia E. Le Dévédec
Eytan Ruppin
机构
[1] University of Maryland,Center for Bioinformatics and Computational Biology
[2] National Institutes of Health (NIH),Cancer Data Science Lab, National Cancer Institute (NCI)
[3] Harvard School of Public Health,Department of Biostatistics and Computational Biology
[4] Harvard Medical School,Massachusetts General Hospital Cancer Center
[5] LACDR,Division of Drug Discovery and Safety
[6] Leiden University,Princess Margaret Cancer Centre
[7] University Health Network,Department of Statistics and Operations Research
[8] National Research Council Canada,Laura and Isaac Perlmutter Cancer Centre
[9] School of Mathematical Sciences,The Blavatnik School of Computer Science
[10] Tel Aviv University,undefined
[11] NYU-Langone Medical Center,undefined
[12] Alexandria Center for Life Science,undefined
[13] Tel Aviv University,undefined
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摘要
The efficacy of prospective cancer treatments is routinely estimated by in vitro cell-line proliferation screens. However, it is unclear whether tumor aggressiveness and patient survival are influenced more by the proliferative or the migratory properties of cancer cells. To address this question, we experimentally measured proliferation and migration phenotypes across more than 40 breast cancer cell-lines. Based on the latter, we built and validated individual predictors of breast cancer proliferation and migration levels from the cells’ transcriptomics. We then apply these predictors to estimate the proliferation and migration levels of more than 1000 TCGA breast cancer tumors. Reassuringly, both estimates increase with tumor’s aggressiveness, as qualified by its stage, grade, and subtype. However, predicted tumor migration levels are significantly more strongly associated with patient survival than the proliferation levels. We confirmed these findings by conducting siRNA knock-down experiments on the highly migratory MDA-MB-231 cell lines and deriving gene knock-down based proliferation and migration signatures. We show that cytoskeletal drugs might be more beneficial in patients with high predicted migration levels. Taken together, these results testify to the importance of migration levels in determining patient survival.
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