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Gene signatures from pancreatic cancer tumor and stromal cells predict disease outcome

Nature Genetics volume 47, pages 1102–1103 (2015)Cite this article

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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.

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Figure 1: Molecular subtypes in pancreatic cancer.

Katie Vicari/Nature Publishing Group

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Authors and Affiliations

  1. and the Department of Medicine, Filippos Kottakis and Nabeel Bardeesy are at the Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts, USA, the Center for Regenerative Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA, Harvard Medical School, Boston, Massachusetts, USA.,

    Filippos Kottakis & Nabeel Bardeesy

Authors
  1. Filippos Kottakis
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  2. Nabeel Bardeesy
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Correspondence to Nabeel Bardeesy.

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The authors declare no competing financial interests.

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Kottakis, F., Bardeesy, N. Gene signatures from pancreatic cancer tumor and stromal cells predict disease outcome. Nat Genet 47, 1102–1103 (2015). https://doi.org/10.1038/ng.3408

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