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

  • Amber N. Hurson
  • , Ebonee N. Butler
  • , Alina M. Hamilton
  • , Khushali K. Shah
  • , Bryan Aapentuo Sienso
  • , Grace Adjoa Ocansey
  • , Sheba Mary Pognaa Kunfah
  • , Bernard Petershie
  • , Kaitlin E. White
  • , Lawrence Edusei
  • , Ernest Adjei
  • , Florence Dedey
  • , Verna Vanderpuye
  • , Joe Nat Clegg-Lamptey
  • , Joel Yarney
  • , Richard Biritwum
  • , Kofi M. Nyarko
  • , Francis Aitpillah
  • , Joseph K. Oppong
  • , Ernest Osei-Bonsu
  • Daniel Ansong, Baffour Awuah, Beatrice Addai Wiafe, Seth Wiafe, Louise Brinton, Thomas U. Ahearn, Melissa A. Troester, Jonine D. Figueroa, Nicolas Titiloye, Montserrat Garcia-Closas, Mustapha Abubakar
  • National Institutes of Health
  • University of North Carolina
  • University of North Carolina at Chapel Hill
  • Tamale Teaching Hospital
  • Ghana Health Service
  • Ghana HUB of NIHR Global Surgery
  • Kwame Nkrumah University of Science and Technology
  • Korle Bu Teaching Hospital
  • Komfo Anoyke Teaching Hospital
  • University of Ghana
  • Komfo Anokye Teaching Hospital
  • Peace and Love Hospital
  • Loma Linda University Health
  • The Institute of Cancer Research

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)2890-2899
Number of pages10
JournalInternational Journal of Cancer
Volume158
Issue number11
DOIs
Publication statusAccepted/In press - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Nanostring
  • breast cancer
  • etiologic heterogeneity
  • gene expression
  • risk factors

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