GIPR expression in gastric and duodenal neuroendocrine tumors

Scott K Sherman1, Jessica E Maxwell1, Jennifer C Carr1

  • 1Department of Surgery, University of Iowa Carver College of Medicine, Iowa City, Iowa.

Abstract

Insights

Gastric and duodenal neuroendocrine tumors (GDNETs) show overexpression of several genes, including somatostatin-receptor-type-2 (SSTR2). GIPR, another target, demonstrates high expression and potential for improved imaging in GDNETs.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Somatostatin-receptor-type-2 (SSTR2) targeted compounds are vital for neuroendocrine tumor (NET) imaging and treatment.
  • Previous research identified GIPR, OXTR, and OPRK1 as potential drug targets in small bowel (SBNET) and pancreatic (PNET) NETs.
  • This study investigates the expression of a panel of 13 cell surface receptor genes in gastric and duodenal neuroendocrine tumors (GDNETs).

Purpose of the Study:

  • To characterize the expression of 13 cell surface receptor genes in GDNETs.
  • To compare gene expression profiles in GDNETs with those in SBNETs and PNETs.
  • To identify potential novel therapeutic and imaging targets for GDNETs.

Main Methods:

  • Quantitative polymerase chain reaction (qPCR) was used to determine gene expression in primary GDNETs and adjacent normal tissues.
  • Gene expression was normalized using GAPDH and POLR2A internal control genes.
  • Statistical analysis included Wilcoxon tests with false discovery rate correction to compare gene expression levels.

Main Results:

  • GDNETs exhibited significant overexpression of BRS3, GIPR, GRM1, GPR113, OPRK1, and SSTR2 compared to normal tissue.
  • SSTR2 showed the highest absolute expression in GDNETs, while GIPR expression was comparable.
  • GIPR demonstrated significantly greater relative overexpression compared to normal tissue than SSTR2.

Conclusions:

  • GIPR exhibits high absolute expression and greater relative overexpression in GDNETs compared to SSTR2.
  • GIPR may offer an improved signal-to-noise ratio for imaging compared to SSTR2.
  • GIPR represents a promising novel therapeutic target for GDNETs.