Expression of IZUMO2 in colorectal cancer in association with clinicopathological features

Pathol Res Pract. 2024 Apr:256:155263. doi: 10.1016/j.prp.2024.155263. Epub 2024 Mar 11.

Abstract

IZUMO2 belongs to the testis-expressed IZUMO family of proteins, which are characterized by an N-terminal IZUMO domain. Based on integrated analysis of expression profiles and matched DNA methylation data from a public database, IZUMO2 represents a prognosis-related methylation-driven gene in colorectal cancer. However, it remains unclear whether IZUMO2 protein expression is suppressed or overexpressed in colorectal cancer cells. In this study, we aimed to elucidate the expression of the IZUMO2 protein in colorectal cancer, with a focus on the clinicopathological features. Sixty-four colorectal cancer tissue specimens were immunohistochemically stained using specific antibodies against IZUMO2. IZUMO2 immunoreactivity was detected at the invasion front in 30 of the 64 colorectal cancer samples. Kaplan-Meier analysis demonstrated that patients with IZUMO2 immunoreactivity had a relatively shorter overall and progression-free survival (log-rank test, P = 0.046 and 0.019, respectively). IZUMO2 immunoreactivity served as an independent factor predictive of poor progression-free survival in colorectal cancer (P = 0.025) as determined via the Cox proportional hazard regression model. Moreover, IZUMO2 immunoreactivity represented an independent factor for poor overall survival (P = 0.035) and progression-free survival (P = 0.013) in patients with colon cancer. The present findings suggest that IZUMO2 is expressed in many colorectal cancers, especially at the cancer invasion front, and may represent an indicator of poor prognosis in colorectal cancer.

Keywords: Cancer microenvironment; Colorectal cancer; IZUMO2; Prognosis.

MeSH terms

  • Biomarkers, Tumor / metabolism
  • Colonic Neoplasms*
  • Colorectal Neoplasms* / pathology
  • Humans
  • Prognosis
  • Progression-Free Survival
  • Proportional Hazards Models

Substances

  • Biomarkers, Tumor