Signaling networks and the feasibility of computational analysis in gastroenteropancreatic neuroendocrine tumors

Semin Cancer Biol. 2019 Oct:58:80-89. doi: 10.1016/j.semcancer.2019.04.005. Epub 2019 May 1.

Abstract

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare diseases with a prevalence that has been increasing over the past three decades. The unsatisfactory outcome of these diseases has encouraged a great amount of research attention and discussion. Currently, to the best of our knowledge, studies on transcriptome screening and molecular mechanisms of the pathogenesis of GEP-NETs are limited. In this review, we have summarized the signaling network of GEP-NETs and the recent meta-analysis-related studies, and we have discussed the potential research direction for GEP-NETs, especially based on computational analysis.

Keywords: Chemotherapy; Gastrointestinal tract; Neuroendocrine tumor; Pancreas; Signaling pathway.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Computational Biology / methods
  • Feasibility Studies
  • Humans
  • Intestinal Neoplasms / genetics*
  • Meta-Analysis as Topic
  • Neuroendocrine Tumors / genetics*
  • Pancreatic Neoplasms / genetics*
  • Signal Transduction / genetics*
  • Stomach Neoplasms / genetics*

Supplementary concepts

  • Gastro-enteropancreatic neuroendocrine tumor