Etiology of gene expression‐based subtypes of breast cancer in the Ghana Breast Health Study

Breast cancers are heterogeneous and largely classified using immunohistochemistry of estrogen receptor expression. However, research suggests RNA-based subtyping, including intrinsic (luminal vs. non-luminal) and TP53-based subtypes, may offer additional etiologic insight. TP53 mutant tumors, often more aggressive and non-luminal, are common among women of African descent. We examined possible heterogeneity for RNA-based luminal/non-luminal and TP53 subtypes among women of west African ancestry. We analyzed 595 invasive breast cancer cases and 2096 controls in the Ghana Breast Health Study. RNA was extracted from formalin-fixed paraffin-embedded tumor samples and profiled via nCounter® Breast Cancer 360™. Tumors were classified as luminal (N = 278) vs. non-luminal (N = 282) and TP53 wildtype-like (N = 324) vs. mutant-like (N = 271) using the PAM50 assay and a validated RNA signature, respectively. Case-control odds ratios and 95% confidence intervals were estimated using polytomous logistic regression. Etiologic heterogeneity was assessed in case-only analyses. Higher parity was more protective for luminal than non-luminal tumors (p-heterogeneity = .05). Older age at menarche and alcohol use ≥6 months were associated with elevated risk of luminal, but not non-luminal tumors (p-heterogeneity = .01). Similar trends were observed for TP53 wildtype-like tumors, though not statistically significant. Cross-classification of PAM50/TP53 showed that higher parity, older age at menarche, and alcohol use ≥6 months were more strongly associated with luminal/TP53 wildtype-like than other subtypes. RNA-based breast cancer subtyping suggests TP53 refines breast cancer etiologic heterogeneity in a sub-Saharan African population. The high prevalence of aggressive, mostly TP53-mutant tumors in this population underscores the need for further studies to clarify etiologic heterogeneity.

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Publication Details

Journal
International Journal of Cancer
Published
2026-01-16
DOI
https://doi.org/10.1002/ijc.70332
Primary Topic
Breast Cancer Treatment Studies
Type
article
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article

Etiology of gene expression‐based subtypes of breast cancer in the Ghana Breast Health Study

Kanan Shah, Joseph K. Oppong, Lawrence Edusei, Mustapha Abubakar et al.
International Journal of Cancer
Breast Cancer Treatment Studies
article

Etiology of gene expression‐based subtypes of breast cancer in the Ghana Breast Health Study

Kanan Shah, Joseph K. Oppong, Lawrence Edusei, Mustapha Abubakar, Nicolas Titiloye, Kofi Nyarko, Grace Ocansey, Beatrice Addai Wiafe, K. Malek, Prince Baffour Awuah, Bryan Aapentuo Sienso, Seth Wiafe, Francis Aitpillah, JP Figueroa, Montserrat García‐Closas, Ernest Akwasi Adjei, LA Brinton, R B Biritwum, Thomas U. Ahearn, Ebonee N. Butler, Florence Dedey, Joel Yarney, Daniel Ansong, Verna Vanderpuye, Ernest Osei‐Bonsu, Kaitlin E. White, Melissa A. Troester, Bernard Petershie
article en

Abstract

Breast cancers are heterogeneous and largely classified using immunohistochemistry of estrogen receptor expression. However, research suggests RNA-based subtyping, including intrinsic (luminal vs. non-luminal) and TP53-based subtypes, may offer additional etiologic insight. TP53 mutant tumors, often more aggressive and non-luminal, are common among women of African descent. We examined possible heterogeneity for RNA-based luminal/non-luminal and TP53 subtypes among women of west African ancestry. We analyzed 595 invasive breast cancer cases and 2096 controls in the Ghana Breast Health Study. RNA was extracted from formalin-fixed paraffin-embedded tumor samples and profiled via nCounter® Breast Cancer 360™. Tumors were classified as luminal (N = 278) vs. non-luminal (N = 282) and TP53 wildtype-like (N = 324) vs. mutant-like (N = 271) using the PAM50 assay and a validated RNA signature, respectively. Case-control odds ratios and 95% confidence intervals were estimated using polytomous logistic regression. Etiologic heterogeneity was assessed in case-only analyses. Higher parity was more protective for luminal than non-luminal tumors (p-heterogeneity = .05). Older age at menarche and alcohol use ≥6 months were associated with elevated risk of luminal, but not non-luminal tumors (p-heterogeneity = .01). Similar trends were observed for TP53 wildtype-like tumors, though not statistically significant. Cross-classification of PAM50/TP53 showed that higher parity, older age at menarche, and alcohol use ≥6 months were more strongly associated with luminal/TP53 wildtype-like than other subtypes. RNA-based breast cancer subtyping suggests TP53 refines breast cancer etiologic heterogeneity in a sub-Saharan African population. The high prevalence of aggressive, mostly TP53-mutant tumors in this population underscores the need for further studies to clarify etiologic heterogeneity.

International Journal of Cancer
Ministry of Health (GH), University of North Carolina at Chapel Hill (US), National Institutes of Health (US), University of Ghana (GH), Institute of Cancer Research (GB), Loma Linda University (US), Komfo Anokye Teaching Hospital (GH), Tamale Teaching Hospital (GH), Cancer Research UK (GB), West End Hospital (GH), Korle Bu Teaching Hospital (GH), Kwame Nkrumah University of Science and Technology (GH), National Cancer Institute (US), Ghana Health Service (GH), UNC Lineberger Comprehensive Cancer Center, Imperial College London (GB)
Openalex Percentile: Top 86%
Breast Cancer Treatment Studies
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