RT Journal Article
T1 Common Molecular Mechanisms and Biomarkers in Breast, Colon and Ovarian Cancer
A1 García-Cañizares, Vicente M.
A1 González Vidal, Alejandro
A1 Burgos-Molina, Antonio Manuel
A1 Mercado-Sáenz, Silvia
A1 Sendra-Portero, Francisco
A1 Ruiz-Gómez, Miguel José
K1 Marcadores bioquímicos
K1 Expresión génica
K1 Cáncer - Aspectos moleculares
AB Breast, colon, and ovarian cancers are among the most prevalent malignancies worldwide, with distinct clinical features. This study aims to identify key proteins as common biomark-ers for breast, colon, and ovarian cancer through protein analysis, molecular mechanisms, and patient sample validation. Data mining from curated databases identified 483 proteins for breast cancer, 521 for colon cancer, and 223 for ovarian cancer. Interaction network analysis revealed shared clusters involved in cancer progression, DNA repair, and cell proliferation. A core set of 27 proteins was found to be common across all three cancer types, participating in key biological processes such as DNA damage response, cell prolif-eration, and apoptosis. Notably, these proteins are implicated in KEGG pathways linked to multiple cancers. Differential gene expression analysis revealed significant alterations in the expressions of MSH2 and KIT across the three cancers, suggesting their potential as common biomarkers. The high expression of these proteins was associated with better survival outcomes, highlighting their potential as common biomarkers for breast, colon, and ovarian cancers. The in-silico methodology integrated various bioinformatic tools—including cluster identification, gene expression profiling, protein network visualization, and biomarker prediction—enhancing the understanding of shared molecular mechanisms and potential therapeutic targets.
PB MDPI
YR 2025
FD 2025
LK https://hdl.handle.net/10630/39473
UL https://hdl.handle.net/10630/39473
LA eng
NO García-Cañizares VM, González-Vidal A, Burgos-Molina AM, Mercado-Sáenz S, Sendra-Portero F, Ruiz-Gómez MJ. Common Molecular Mechanisms and Biomarkers in Breast, Colon and Ovarian Cancer. Applied Sciences. 2025; 15(13):7018. https://doi.org/10.3390/app15137018
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 13 abr 2026