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Migration rather than proliferation transcriptomic signatures are strongly associated with breast cancer patient survival.
Nair, Nishanth Ulhas; Das, Avinash; Rogkoti, Vasiliki-Maria; Fokkelman, Michiel; Marcotte, Richard; de Jong, Chiaro G; Koedoot, Esmee; Lee, Joo Sang; Meilijson, Isaac; Hannenhalli, Sridhar; Neel, Benjamin G; de Water, Bob van; Le Dévédec, Sylvia E; Ruppin, Eytan.
Afiliação
  • Nair NU; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
  • Das A; Cancer Data Science Lab, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA.
  • Rogkoti VM; Department of Biostatistics and Computational Biology, Harvard School of Public Health, Boston, USA.
  • Fokkelman M; Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, USA.
  • Marcotte R; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
  • de Jong CG; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
  • Koedoot E; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada.
  • Lee JS; National Research Council Canada, Montreal, Canada.
  • Meilijson I; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
  • Hannenhalli S; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
  • Neel BG; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
  • de Water BV; Cancer Data Science Lab, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA.
  • Le Dévédec SE; Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
  • Ruppin E; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, 20742, USA.
Sci Rep ; 9(1): 10989, 2019 07 29.
Article em En | MEDLINE | ID: mdl-31358840
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Movimento Celular / Proliferação de Células / Transcriptoma Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Movimento Celular / Proliferação de Células / Transcriptoma Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article