Gene signatures from pancreatic cancer tumor and stromal cells predict disease outcome
- PMID: 26417858
- DOI: 10.1038/ng.3408
Gene signatures from pancreatic cancer tumor and stromal cells predict disease outcome
Abstract
Pancreatic cancers consist of a heterogeneous amalgam of assorted cell types, making it challenging to develop a classification system that groups these tumors according to common molecular features. A new study tackles this important issue using bioinformatics approaches to decipher gene expression signatures derived specifically from either tumor cells or nonmalignant stromal cells that predict patient outcome and may inform personalized treatments.
Comment on
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Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma.Nat Genet. 2015 Oct;47(10):1168-78. doi: 10.1038/ng.3398. Epub 2015 Sep 7. Nat Genet. 2015. PMID: 26343385 Free PMC article.
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