ORCID
0000-0003-4527-4323 (Main), 0000-0001-9927-4869 (Semmes), 0000-0003-2854-7510 (Nyalwidhe)
Document Type
Article
Publication Date
2025
DOI
10.1101/2025.08.14.670396
Publication Title
bioRxiv
Pages
31 pp.
Abstract
Urine is an attractive biomarker analyte for non-invasive longitudinal monitoring of health and disease, particularly for diseases of the genitourinary tract, like prostate and bladder cancer. The composition of an individual's urine reflects both genetic and lifestyle characteristics that differ across geographies and populations, like diet, hydration and other socio-economic factors. While men of African ancestry have elevated prostate cancer risk, it is unclear to what extent this influences urinary biomarkers. We therefore quantified the urinary proteomes of 329 localized prostate cancer patients: 135 self-identifying as White and 194 self-identifying as Black. We identified 110 proteins that significantly differed between these groups after controlling for age, PSA, and cISUP. Immune pathways were particularly dysregulated. The urinary proteome of Black patients harboured more features of aggressive cancers than those of grade- and PSA-matched White patients. These observations highlight the importance of controlling for race- and ancestry-associated differences in the development of urinary biomarkers.
Rights
© 2025 The Authors.
The copyright holder for this preprint is the author/funder. It is made available under a Creative Commons Attribution-NonCommercial 4.0 International (CC-BY-NC 4.0) International License.
Data Availability
Article states: "Raw mass spectrometry data and the generated spectral libraries are publicly available on MassIVE database with MassIVE ID: MSV000098127 and FTP link: ftp://MSV000098127@massive-ftp.ucsd.edu. Data supported corresponding results of the paper is included in the supplementary files.
Original Publication Citation
Ha, A., Arbet, J., Qiu, Z., Khoo, A., Main, B. P., Govindarajan, M., Waas, M., Liu, S. K., Semmes, O. J., Nyalwidhe, J. O., Boutros, P. C., & Kislinger, T. (2025). Ancestry-dependent immunologic and prognostic effects characterize the prostate cancer urinary proteome. bioRxiv. https://doi.org/10.1101/2025.08.14.670396
Repository Citation
Ha, A., Arbet, J., Qiu, Z., Khoo, A., Main, B. P., Govindarajan, M., Waas, M., Liu, S. K., Semmes, O. J., Nyalwidhe, J. O., Boutros, P. C., & Kislinger, T. (2025). Ancestry-dependent immunologic and prognostic effects characterize the prostate cancer urinary proteome. bioRxiv. https://doi.org/10.1101/2025.08.14.670396
Included in
Health and Medical Administration Commons, Hemic and Immune Systems Commons, Medical Genetics Commons, Oncology Commons
Comments
This is a preprint and has not been certified by peer review.