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

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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

References

  1. Sotiriou, C. & Pusztai, L. N. Engl. J. Med. 360, 790–800 (2009).

    Article  CAS  Google Scholar 

  2. Meyer, S.C. & Levine, R.L. Lancet Oncol. 15, e382–e394 (2014).

    Article  CAS  Google Scholar 

  3. Ryan, D.P., Hong, T.S. & Bardeesy, N. N. Engl. J. Med. 371, 1039–1049 (2014).

  4. Feig, C. et al. Clin. Cancer Res. 18, 4266–4276 (2012).

    Article  CAS  Google Scholar 

  5. Moffitt, R.A. et al. Nat. Genet. 47, 1168–1178 (2015).

    Article  CAS  Google Scholar 

  6. Stephen, A.G., Esposito, D., Bagni, R.K. & McCormick, F. Cancer Cell 25, 272–281 (2014).

    Article  CAS  Google Scholar 

  7. Chen, J.C. et al. Cell 159, 402–414 (2014).

    Article  CAS  Google Scholar 

  8. Suvà, M.L. et al. Cell 157, 580–594 (2014).

    Article  Google Scholar 

  9. Lee, J.J. et al. Proc. Natl. Acad. Sci. USA 111, E3091–E3100 (2014).

    Article  CAS  Google Scholar 

  10. Rhim, A.D. et al. Cancer Cell 25, 735–747 (2014).

    Article  CAS  Google Scholar 

  11. Sherman, M.H. et al. Cell 159, 80–93 (2014).

    Article  CAS  Google Scholar 

  12. Campbell, P.J. et al. Nature 467, 1109–1113 (2010).

    Article  CAS  Google Scholar 

  13. Yachida, S. et al. Nature 467, 1114–1117 (2010).

    Article  CAS  Google Scholar 

  14. Waddell, N. et al. Nature 518, 495–501 (2015).

    Article  CAS  Google Scholar 

  15. Provenzano, P.P. et al. Cancer Cell 21, 418–429 (2012).

    Article  CAS  Google Scholar 

Download references

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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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