Expression and Prognostic Significance of CD47-SIRPA Macrophage Checkpoint Molecules in Colorectal Cancer

Akane Sugimura-Nagata1, Akira Koshino1, Satoshi Inoue1

  • 1Division of Gastroenterology, Department of Internal Medicine, Aichi Medical University School of Medicine, Nagakute 480-1195, Japan.

Insights

Colorectal cancer (CRC) patients with CD47-positive tumors show worse survival. Targeting the CD47-SIRPA pathway may offer new therapeutic options for CRC, especially for tumors resistant to current treatments.

Area of Science:

  • Immunology
  • Oncology
  • Pathology

Background:

  • T-cell immune checkpoint inhibitors show limited efficacy in colorectal cancer (CRC), primarily benefiting microsatellite-unstable tumors.
  • Tumor cells can evade immune destruction by binding CD47 to signal regulatory protein-alpha (SIRPA) on macrophages.
  • There is a need for novel therapeutics targeting other CRC subtypes or those refractory to T-cell checkpoint inhibitors.

Purpose of the Study:

  • To evaluate the expression of CD47, SIRPA, CD68, and CD163 in primary colorectal cancers (CRCs).
  • To assess the predictive utility of these markers for patient survival.
  • To determine the applicability of CD47-SIRPA axis-modulating drugs in CRC treatment.

Main Methods:

  • Immunohistochemical evaluation of CD47, SIRPA, CD68, and CD163 in 269 primary CRCs.
  • Log-rank test and multivariate Cox hazards regression analysis to assess survival outcomes and risk factors.

Main Results:

  • CD47 was expressed on the cytomembrane of CRC cells in 35% of cases.
  • Patients with CD47-positive CRCs exhibited significantly worse survival compared to CD47-negative patients.
  • High tumor CD47 expression, lymph node metastasis, and peritoneal metastasis were identified as independent risk factors for poor survival.

Conclusions:

  • CD47-SIRPA pathway-modulating therapies hold potential efficacy for colorectal cancer patients.
  • Tumor-associated immune cell (TAI) counts expressing SIRPA, CD68, or CD163, along with histological features and patient age, influence survival outcomes.