Immune landscape of the tumour microenvironment in Ethiopian breast cancer patients

  • 0Department of Microbiology, Immunology & Parasitology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.

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Summary

This summary is machine-generated.

This study identified four immune phenotypes in Ethiopian breast cancer patients, revealing distinct tumor immune microenvironments (TIME). An active TIME correlated with improved survival, suggesting potential for targeted therapies.

Area Of Science

  • Oncology
  • Immunology
  • Genomics

Background

  • Current breast cancer (BC) management relies on receptor expression, but novel prognostic and therapeutic biomarkers are needed.
  • The tumor immune microenvironment (TIME) significantly influences BC prognosis and treatment selection.
  • This study focuses on characterizing the TIME in Ethiopian BC patients.

Purpose Of The Study

  • To describe the tumor immune microenvironment (TIME) in Ethiopian breast cancer (BC) patients.
  • To identify distinct immune phenotypes within BC tumors.
  • To assess the prognostic relevance of identified immune phenotypes.

Main Methods

  • Analyzed RNA from 82 BC tissues using Nanostring for PAM50 and 54 immune genes.
  • Determined differentially expressed genes (DEGs) and estimated cell populations using ROSALIND® and Nanostring modules.
  • Assessed tumor-infiltrating lymphocytes (TILs) via H&E staining and genotyped PIK3CA mutations using qPCR.

Main Results

  • Identified four immune phenotypes (IP1-4) based on immune gene expression, showing variations in immune activation and infiltration.
  • IP2 exhibited suppressed immune activity and fewer infiltrating cells, associated with luminal tumors.
  • IP4 demonstrated an active TIME with high cytotoxic gene expression and immune cell density, correlating with improved overall survival.

Conclusions

  • Immune gene expression profiling revealed four distinct TIME contextures in Ethiopian BC patients.
  • These immune subgroups possess unique gene expression patterns and immune infiltration levels.
  • Classification into immune subgroups offers prognostic information and aids in selecting patients for conventional or immunotherapies.