Young breast cancer patients and molecular reclassification using RNA-sequencing.

T Tewodros Yalew Gebremariam (Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia) A Amanuel Damie (Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Ethiopia, Addis Ababa, Ethiopia) T Tove Ekdahl Hjelm (Department of Oncology, Södersjukhuset, Stockholm, Sweden) M Mathewos Assefa Woldegeorgis (Department of Oncology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia) E Endale Anberber (Department of Surgery, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia) B Bethlehem Getachew Ayele (Department of Oncology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia) M Marcus Bauer J Jenny Löfgren (Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden) S Senait Ashenafi (Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia)

Abstract

e12591 Background: Choice of breast cancer (BC) treatment is to a large extent based on immunohistochemistry (IHC) subtyping. Often genomically driven, young BC patients have a large proportion of non-luminal subtypes and unfavorable clinicopathologic profiles. In addition, a higher discordance between IHC and molecular BC subtyping has been shown in young BC patients. RNA-based classifiers may more accurately characterize the tumor biology. This study was conducted in Ethiopia, a Low-Income Country (LIC) in Eastern Africa. Here, almost all of the biomarker decision is based on histopathology and IHC. The aim of the study was to compare histopathology and IHC with RNA based classification of breast cancer in Ethiopia. Methods: This is a cross-sectional prospective cohort of 50 BC patients between the age of 18 and 39 enrolled between February 2021 and September 2023 at Tikur Anbessa Specialized Hospital (TASH), Ethiopia. Fresh frozen tissue samples were used for RNA extraction and RNA-sequencing. BC intrinsic subtypes were classified as Luminal A, Luminal B, HER2-enriched, and Basal using the SCAN-B, and as Luminal A-like, Luminal B-like, HER2-positive, and triple negative BC (TNBC), based on IHC method, which was available for 43 samples. The results between the two approaches were compared. Results: RNA based classification revealed a high-grade tumor in 84% while only 36% of the patients were classified as high-grade using histologic diagnosis. A higher proportion of HER2-enriched tumors were found (36%) using RNA-sequencing compared to the IHC (11.6%). Moreover, there was a high discordance in Luminal B classification between RNA classification (28%) and the IHC (53.5%) technique. Many of the tumors classified as Luminal B-like by IHC were molecularly HER2-enriched, accounting for 40% of the classification difference. Conclusions: In this cohort of young BC patients, we found a significant discordance between IHC and molecular subtyping. RNA-sequencing revealed a substantially higher proportion of biologically aggressive tumor than the conventional histopathology and IHC classification. High-grade tumors were markedly underestimated by histopathology and IHC compared with RNA-sequencing. The discordance was mainly observed for Luminal B and HER2-enriched BC. The differences seen in the study may be explained by several factors, including the young age of the patients, tissue type, preanalytical issues affecting IHC, and an obvious fundamental methodological difference between the two approaches, that might have a potential clinical implication. In LIC, where IHC plays a vital role in BC management and where a high proportion of patients are young, reliance on IHC classification may miss a considerable proportion of biologically aggressive diseases. Therefore, RNA-based molecular diagnostic approaches may offer an added value for a portion of selected BC patients in LMICs like Ethiopia.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (9)

T

Tewodros Yalew Gebremariam

Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia

A

Amanuel Damie

Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Ethiopia, Addis Ababa, Ethiopia

T

Tove Ekdahl Hjelm

Department of Oncology, Södersjukhuset, Stockholm, Sweden

M

Mathewos Assefa Woldegeorgis

Department of Oncology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia

E

Endale Anberber

Department of Surgery, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia

B

Bethlehem Getachew Ayele

Department of Oncology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia

M

Marcus Bauer

J

Jenny Löfgren

Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden

S

Senait Ashenafi

Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia