Immune landscape of the tumour microenvironment in Ethiopian breast cancer patients
- Meron Yohannes 1,2,3, Zelalem Desalegn 1,3, Marcus Bauer 3,4, Kathrin Stückrath 5, Endale Anberbir 6, Yonas Bekuretsion 7, Mathewos Assefa 8, Tariku Wakuma 9, Yasin Worku 10, Pablo S C Santos 3, Lesley Taylor 11, Adamu Adissie 3,12, Claudia Wickenhauser 4, Chiara Massa 13, Martina Vetter 5, Eva Johanna Kantelhardt 3,5, Barbara Seliger 13,14,15, Tamrat Abebe 16,17
- Meron Yohannes 1,2,3, Zelalem Desalegn 1,3, Marcus Bauer 3,4
- 1Department of Microbiology, Immunology & Parasitology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
- 2Department of Medical Laboratory Science, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
- 3Global and Planetary Health Working Group, Institute of Medical Epidemiology, Biometrics and Informatics, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany.
- 4Institute of Pathology, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany.
- 5University Clinic and Polyclinic for Gynecology, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany.
- 6Department of Surgery, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
- 7Department of Pathology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
- 8Department of Oncology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
- 9Aira Hospital, Aira, Ethiopia.
- 10School of Medicine, Wollo University, Wollo, Ethiopia.
- 11City of Hope National Medical Center, Duarte, CA, USA.
- 12School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
- 13Medical Faculty, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany.
- 14Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
- 15Medical School Theodor Fontane, Faculty of Health Research Institute for Translational Immunology, Brandenburg an der Havel, Germany.
- 16Department of Microbiology, Immunology & Parasitology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia. tamrat.abebe@aau.edu.et.
- 17Global and Planetary Health Working Group, Institute of Medical Epidemiology, Biometrics and Informatics, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany. tamrat.abebe@aau.edu.et.
- 0Department of Microbiology, Immunology & Parasitology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
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.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

