Classifying pancreatic cancer using gene expression profiling

Despite some advances in our understanding of the molecular characteristics of pancreatic cancer, much more progress is needed. In a new study, RNA profiling of pancreatic cancers was used

to identify gene signatures of tumour cells and stromal cells to help predict patient outcomes. Access through your institution Buy or subscribe This is a preview of subscription content,

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OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Rahib, L. _ et al_. Projecting cancer incidence and deaths to 2030: the

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work was supported by S. Wojcicki and D. Troper, NIH grants (R01CA176828 and CA62924), the American Association for Cancer Research, the Lustgarten Foundation for Pancreatic Cancer Research,

the Jimmy V Foundation, and the Rolfe Pancreatic Cancer Foundation. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Pathology, The Sol Goldman Pancreatic Cancer Research Centre,

The Johns Hopkins University School of Medicine, 1550 Orleans Street, Baltimore, 21231, MD, USA Michael Ayars & Michael Goggins Authors * Michael Ayars View author publications You can

also search for this author inPubMed Google Scholar * Michael Goggins View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence

to Michael Goggins. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing financial interests. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE

THIS ARTICLE Ayars, M., Goggins, M. Classifying pancreatic cancer using gene expression profiling. _Nat Rev Gastroenterol Hepatol_ 12, 613–614 (2015).

https://doi.org/10.1038/nrgastro.2015.180 Download citation * Published: 20 October 2015 * Issue Date: November 2015 * DOI: https://doi.org/10.1038/nrgastro.2015.180 SHARE THIS ARTICLE

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