Proteomic mapping associated with clinical and sociodemographic parameters of breast cancer in Senegal

https://doi.org/10.53730/ijhs.v9n3.15835

Authors

  • Malick FALL Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal
  • Moussa CAMARA Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal https://orcid.org/0009-0001-1487-2024
  • Omar NIANG Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal
  • Fatimata MBAYE Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal
  • Ahmadou DEM Cancer Institute, Faculty of Medicine, Pharmacy and Stomatology, Cheikh Anta Diop University, Dakar, Senegal
  • Sidy KA Cancer Institut, Faculty of Medicine, Pharmacy and Stomatology, Cheikh Anta Diop University, Dakar Senegal
  • Mamadou Aliou DIALLO Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal
  • Julie HARDOUIN UMR CNRS 6270, PISSARO Proteomic Platform (IRIB), University of Rouen, 76821 Mont-Saint-Aignan, France
  • Silly TOURE Department of Maxillofacial Surgery and Stomatology University Hospital Center Aristide le Dantec
  • Ndongo DIA Institute Pasteur Dakar, Senegal, BP220
  • Mbacké SEMBENE Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal
  • Pascal COSETTE UMR CNRS 6270, PISSARO Proteomic Platform (IRIB), University of Rouen, 76821 Mont-Saint-Aignan, France
  • Emmanuel CORNILLOT Institute of Computational Biology (IBC), Cancer Research Institute of Montpellier (IRCM - INSERM U1194), Montpellier Regional Cancer Institute (ICM) & University of Montpellier, France

Keywords:

Biomarkers, Breast cancers, clinical sociodemographic, proteomics, Senegal

Abstract

Breast cancer refers to a malignant tumour resulting from the uncontrolled proliferation of epithelial cells in the mammary gland. It is the leading cause of cancer in women. In Senegal, regional disparities remain marked by differences in access to screening, diagnosis, and treatment. Proteomics provides a direct reflection of the functional state of tissues and biological pathways and captures the functional effects of molecular alterations. In order to better understand the relationship between the pathogenesis of breast cancer and the existence of potential biomarkers based on each underlying clinical and sociodemographic parameter, this study performs correlation analyses. Proteins were extracted from healthy and cancerous tissues. The analytical workflow showed 30 proteins that were statistically deregulated between those under and over 50 years of age, 5 proteins between married and unmarried patients, 37 proteins between women with fewer than 7 children and those with more than 7 children, six proteins between the early stage and the locally advanced stage, and treatment response showed that 17 proteins were statistically deregulated. The results of this study have identified numerous proteins with high prognostic value associated with robust statistics and significantly overexpressed according to the parameters.

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Published

16-12-2025

How to Cite

FALL, M., CAMARA, M., NIANG, O., MBAYE, F., DEM, A., KA, S., DIALLO, M. A., HARDOUIN, J., TOURE, S., DIA, N., SEMBENE, M., COSETTE, P., & CORNILLOT, E. (2025). Proteomic mapping associated with clinical and sociodemographic parameters of breast cancer in Senegal. International Journal of Health Sciences, 9(3), 961–980. https://doi.org/10.53730/ijhs.v9n3.15835

Issue

Vol. 9 No. 3 (2025): December

Section

Peer Review Articles
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