Abstract:
Prostate cancer (PCa) is a significant health burden in Sub-Saharan Africa, with mortality rates loosely linked to African ancestry. Yet studies aimed at identifying contributing risk factors are lacking within the continent and as such exclude for significant ancestral diversity. Here, we investigate a series of epidemiological demographic and lifestyle risk factors for 1387 men recruited as part of the multi-ethnic Southern African Prostate Cancer Study (SAPCS). We found poverty to be a decisive factor for disease grade and age at diagnosis, with other notably significant Prostate cancer associated risk factors including sexually transmitted diseases, erectile dysfunction, gynaecomastia, and vertex or complete pattern balding. Aligned with African American data, Black ethnicity showed significant risk for Prostate cancer diagnosis (OR = 1.44, 95% CI 1.05–2.00), and aggressive disease presentation (ISUP ≥ 4: OR = 2.25, 95% CI 1.49–3.40). New to this study, we demonstrate African ancestral population substructure associated Prostate cancer disparity, observing increased risk for advanced disease for the southern African Tsonga people (ISUP ≥ 4: OR = 3.43, 95% CI 1.62–7.27). Conversely, South African Coloured were less likely to be diagnosed with aggressive disease overall (ISUP ≥ 3: OR = 0.38, 95% 0.17–0.85). Understanding the basis for Prostate cancer health disparities calls for African inclusion, however, lack of available data has limited the power to begin discussions. Here, focusing on arguably the largest study of its kind for the African continent, we draw attention to the contribution of within African ancestral diversity as a contributing factor to Prostate cancer health disparities within the genetically diverse region of southern Africa.
Description:
DATA AVAILABITY STATEMENT: The data underlying this article were obtained from the Southern African Prostate Cancer Study (SAPCS) and cannot be shared publicly due to the privacy of individuals who participated in the study. Researchers can apply for access to deidentified data through the SAPCS Data Access Committee management team V.M. Hayes, M.S.R. Bornman and/or S.B.A. Mutambirwa.