Genetics of pancreatic cyst-cancer progression: Standing on the shoulders of giants

Bhuwan Giri, Vrishketan Sethi, Vikas Dudeja, Sulagna Banerjee, Alan Livingstone, Ashok Saluja

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations


Purpose of review: Pancreatic cancer, despite years of study and some progress, presents with a grim prognosis in almost all cases. In the current review, we have discussed recent studies that have attempted to decipher the genetic makeup of pancreatic ductal adenocarcinoma and preneoplastic pancreatic cystic neoplasms. Recent findings: With the advent of high throughput sequencing, the genetic code of pancreatic cancer is beginning to unravel and this new-found information heralds an era of precision cancer care where treatment will be guided by the genetic code of the neoplasm. Results from these studies have pointed towards the complexity and heterogeneity of the pancreatic cancer genome, provided avenues to "tailor therapy" based as well as shed light on progression of preneoplastic pancreatic neoplasms into full blown invasive pancreatic ductal adenocarcinoma. Summary: While this progress has made us closer to the model of precision medicine, significant obstacles need to be overcome to use this new-found information to change the way we manage patients with pancreatic cancer.

Original languageEnglish (US)
Pages (from-to)404-410
Number of pages7
JournalCurrent opinion in gastroenterology
Issue number5
StatePublished - Sep 1 2017

Bibliographical note

Funding Information:
The authors would like to acknowledge the financial support by NIH grants R01-CA170946 and CA124723 (to A.K.S.); NIH grant R01-CA184274 (to S.B.); Katherine and Robert Goodale foundation support (to AKS) and Minneamrita Therapeutics LLC (to A.K.S.).

Publisher Copyright:
Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.


  • KRAS
  • MCN
  • RNF43
  • TP53
  • cystic neoplasms
  • genome
  • intraductal papillary mucinous neoplasm
  • mutations
  • pancreatic cancer
  • whole genome sequencing


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