TY - JOUR
T1 - Contribution of Prediagnostic Host Factors to Shaping the Stromal Microenvironment of Breast Cancer among Sub-Saharan African Women
AU - Ghana Breast Health Study Team
AU - Abubakar, Mustapha
AU - Ahearn, Thomas U.
AU - Duggan, Maire A.
AU - Lawrence, Scott
AU - Adjei, Ernest K.
AU - Clegg-Lamptey, Joe Nat
AU - Yarney, Joel
AU - Wiafe-Addai, Beatrice
AU - Awuah, Baffour
AU - Wiafe, Seth
AU - Nyarko, Kofi
AU - Aitpillah, Francis S.
AU - Ansong, Daniel
AU - Hewitt, Stephen M.
AU - Brinton, Louise A.
AU - Figueroa, Jonine D.
AU - Garcia-Closas, Montserrat
AU - Edusei, Lawrence
AU - Titiloye, Nicolas
AU - Adjei, Robertson
AU - Afriyie, Lucy
AU - Adjei, Anthony
AU - Dedey, Florence
AU - Vanderpuye, Verna
AU - Okyne, Victoria
AU - Oti, Naomi Ohene
AU - Tay, Evelyn
AU - Adu-Aryee,
AU - Kenu, Angela
AU - Ekpedzor, Obed
AU - Alcpaloo, Marion
AU - Boakye, Isaac
AU - Arhin, Bernard
AU - Assimah, Emmanuel
AU - Ka-Chungu, Samuel
AU - Oppong, Joseph
AU - Osei-Bonsu, Ernest
AU - Frempong, Margaret
AU - Abaidoo, Emma Brew
AU - Mensah, Bridget Nortey
AU - Amanama, Samuel
AU - Agyapong, Prince
AU - Boateng, Debora
AU - Agyei, Ansong Thomas
AU - Opoku, Richard
AU - Gyimah, Kofi Owusu
AU - Newman, Lisa
AU - Palakal, Maya
AU - Thistle, Jake
AU - Brotzman, Michelle
N1 - Publisher Copyright:
© 2024 The Authors;
PY - 2025/4/1
Y1 - 2025/4/1
N2 - Background: The stromal microenvironment (SME) is integral to breast cancer biology, impacting metastatic proclivity and treatment response. Emerging data indicate that host factors may impact the SME, but the relationship between prediagnostic host factors and SME phenotype remains poorly characterized, particularly among women of African ancestry. Methods: We conducted a case-only analysis involving 792 patients with breast cancer (17–84 years) from the Ghana Breast Health Study. High-accuracy machine-learning algorithms were applied to standard H&E-stained images to characterize SME phenotypes [including percent tumor-associated connective tissue stroma, Ta-CTS (%); tumor-associated stromal cellular density, Ta-SCD (%)]. Associations between prediagnostic host factors and SME phenotypes were assessed in multivariable linear regression models. Results: Decreasing Ta-CTS and increasing Ta-SCD were associated with aggressive, mostly high-grade tumors (P-value < 0.001). Several prediagnostic host factors were associated with Ta-SCD independently of tumor characteristics. Compared with nulliparous women, parous women had higher levels of Ta-SCD [mean (standard deviation, SD) ¼ 31.3% (7.6%) vs. 28.9% (7.1%); P-value ¼ 0.01]. Similarly, women with a positive family history of breast cancer had higher levels of Ta-SCD than those without family history [mean (SD) ¼ 33.0% (7.5%)] vs. 30.9% (7.6%); P-value ¼ 0.03]. Conversely, increasing body size was associated with decreasing Ta-SCD [mean (SD) ¼ 31.6% (7.4%), 31.4% (7.3%), and 30.1% (8.0%) for slight, average, and large body sizes, respectively; P-value ¼ 0.005]. Conclusions: Epidemiological risk factors were associated with varying degrees of stromal cellularity in tumors, independently of clinicopathological characteristics. Impact: The findings raise the possibility that epidemiological risk factors may partly influence tumor biology via the stromal microenvironment.
AB - Background: The stromal microenvironment (SME) is integral to breast cancer biology, impacting metastatic proclivity and treatment response. Emerging data indicate that host factors may impact the SME, but the relationship between prediagnostic host factors and SME phenotype remains poorly characterized, particularly among women of African ancestry. Methods: We conducted a case-only analysis involving 792 patients with breast cancer (17–84 years) from the Ghana Breast Health Study. High-accuracy machine-learning algorithms were applied to standard H&E-stained images to characterize SME phenotypes [including percent tumor-associated connective tissue stroma, Ta-CTS (%); tumor-associated stromal cellular density, Ta-SCD (%)]. Associations between prediagnostic host factors and SME phenotypes were assessed in multivariable linear regression models. Results: Decreasing Ta-CTS and increasing Ta-SCD were associated with aggressive, mostly high-grade tumors (P-value < 0.001). Several prediagnostic host factors were associated with Ta-SCD independently of tumor characteristics. Compared with nulliparous women, parous women had higher levels of Ta-SCD [mean (standard deviation, SD) ¼ 31.3% (7.6%) vs. 28.9% (7.1%); P-value ¼ 0.01]. Similarly, women with a positive family history of breast cancer had higher levels of Ta-SCD than those without family history [mean (SD) ¼ 33.0% (7.5%)] vs. 30.9% (7.6%); P-value ¼ 0.03]. Conversely, increasing body size was associated with decreasing Ta-SCD [mean (SD) ¼ 31.6% (7.4%), 31.4% (7.3%), and 30.1% (8.0%) for slight, average, and large body sizes, respectively; P-value ¼ 0.005]. Conclusions: Epidemiological risk factors were associated with varying degrees of stromal cellularity in tumors, independently of clinicopathological characteristics. Impact: The findings raise the possibility that epidemiological risk factors may partly influence tumor biology via the stromal microenvironment.
UR - https://www.scopus.com/pages/publications/105002315735
U2 - 10.1158/1055-9965.EPI-24-0390
DO - 10.1158/1055-9965.EPI-24-0390
M3 - Article
C2 - 38958945
AN - SCOPUS:105002315735
SN - 1055-9965
VL - 34
SP - 462
EP - 473
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 4
ER -