Histological grades and prognostic markers of well-differentiated pancreatic neuroendocrine tumor (WDPNET)

Yongchao Li, Daniel Rowan, Claire P. Williamson, Meiyun Fan, Ali G. Saad, Lizhi Zhang

Research output: Contribution to journalReview articlepeer-review


AbstractPancreatic neuroendocrine tumors (PNETs) are the second most common neoplasm of the pancreas after ductal adenocarcinoma. The clinical behavior of PNETs is very difficult to predict, especially for well-differentiated PNETs. Several classification systems have been developed to differentiate benign from malignant PNETs. The current 5th edition WHO (2019) updated the grading system of PNETs which is now entirely based on proliferative rate (either mitotic count or Ki-67 index). In this article, we systemically reviewed the evolution of the histologic classification and grading systems for well-differentiated PNETs. Meanwhile, we also report a comprehensive summary of immunohistochemical and molecular prognostic factors for PNETs patients, including CK19, KIT, PD-L1/PD-L1, UCH-L1 and CNPY2. We believe that more reliable grading systems and prognostic markers are emerging and will change the landscape of treatment for well-differentiated PNETs.

Original languageEnglish (US)
Pages (from-to)188-194
Number of pages7
JournalJournal of Pancreatology
Issue number4
StatePublished - Dec 2020


  • Grading, Ki-67, PNETs, Prognosis

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Hepatology
  • Endocrinology


Dive into the research topics of 'Histological grades and prognostic markers of well-differentiated pancreatic neuroendocrine tumor (WDPNET)'. Together they form a unique fingerprint.

Cite this