Show simple item record

dc.contributor.authorGeorge, Jason T.
Jolly, Mohit Kumar
Xu, Shengnan
Somarelli, Jason A.
Levine, Herbert
dc.date.accessioned 2019-01-09T17:21:13Z
dc.date.available 2019-01-09T17:21:13Z
dc.date.issued 2017
dc.identifier.citation George, Jason T., Jolly, Mohit Kumar, Xu, Shengnan, et al.. "Survival outcomes in cancer patients predicted by a partial EMT gene expression scoring metric." Cancer Research, 77, no. 22 (2017) American Association for Cancer Research: 6415-6428. https://doi.org/10.1158/0008-5472.CAN-16-3521.
dc.identifier.urihttps://hdl.handle.net/1911/105028
dc.description.abstract Metastasis is a significant contributor to morbidity and mortality for many cancer patients and remains a major obstacle for effective treatment. In many tissue types, metastasis is fueled by the epithelial-to-mesenchymal transition (EMT)-a dynamic process characterized by phenotypic and morphologic changes concomitant with increased migratory and invasive potential. Recent experimental and theoretical evidence suggests that cells can be stably halted en route to EMT in a hybrid E/M phenotype. Cells in this phenotype tend to move collectively, forming clusters of circulating tumor cells that are key tumor-initiating agents. Here, we developed an inferential model built on the gene expression of multiple cancer subtypes to devise an EMT metric that characterizes the degree to which a given cell line exhibits hybrid E/M features. Our model identified drivers and fine-tuners of epithelial-mesenchymal plasticity and recapitulated the behavior observed in multiple in vitro experiments across cancer types. We also predicted and experimentally validated the hybrid E/M status of certain cancer cell lines, including DU145 and A549. Finally, we demonstrated the relevance of predicted EMT scores to patient survival and observed that the role of the hybrid E/M phenotype in characterizing tumor aggressiveness is tissue and subtype specific. Our algorithm is a promising tool to quantify the EMT spectrum, to investigate the correlation of EMT score with cancer treatment response and survival, and to provide an important metric for systematic clinical risk stratification and treatment.
dc.language.iso eng
dc.publisher American Association for Cancer Research
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the American Association for Cancer Research.
dc.title Survival outcomes in cancer patients predicted by a partial EMT gene expression scoring metric
dc.type Journal article
dc.citation.journalTitle Cancer Research
dc.citation.volumeNumber 77
dc.citation.issueNumber 22
dc.identifier.digital nihms909124
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1158/0008-5472.CAN-16-3521
dc.identifier.pmcid PMC5690883
dc.identifier.pmid 28947416
dc.type.publication post-print
dc.citation.firstpage 6415
dc.citation.lastpage 6428


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record