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Orcid Publication

Detalle de: Identification of MicroRNAs as Viable Aggressiveness Biomarkers for Prostate Cancer

Title Identification of MicroRNAs as Viable Aggressiveness Biomarkers for Prostate Cancer
Abstract

MiRNAs play a relevant role in PC (prostate cancer) by the regulation in the expression of several pathways’ AR (androgen receptor), cellular cycle, apoptosis, MET (mesenchymal epithelium transition), or metastasis. Here, we report the role of several miRNAs’ expression patterns, such as miR-93-5p, miR-23c, miR-210-3p, miR-221-3p, miR-592, miR-141, miR-375, and miR-130b, with relevance in processes like cell proliferation and MET. Using Trizol® extraction protocol and TaqMan™ specific probes for amplification, we performed miRNAs’ analysis of 159 PC fresh tissues and 60 plasmas from peripheral blood samples. We had clinical data from all samples including PSA, Gleason, TNM, and D’Amico risk. Moreover, a bioinformatic analysis in TCGA (The Cancer Genome Atlas) was included to analyze the effect of the most relevant miRNAs according to aggressiveness in an extensive cohort (n = 531). We found that miR-210-3p, miR-23c, miR-592, and miR-93-5p are the most suitable biomarkers for PC aggressiveness and diagnosis, respectively. In fact, according with our results, miR-93-5p seems the most promising non-invasive biomarker for PC. To sum up, miR-210-3p, miR-23c, miR-592, and miR-93-5p miRNAs are suggested to be potential biomarkers for PC risk stratification that could be included in non-invasive strategies such as liquid biopsy in precision medicine for PC management.

Apa Reference Martínez-González, L., Sánchez-Conde, V., González-Cabezuelo, J., Antunez-Rodríguez, A., Andrés-León, E., Robles-Fernandez, I., Lorente, J., Vázquez-Alonso, F., & Alvarez-Cubero, M. (2021). Identification of MicroRNAs as Viable Aggressiveness Biomarkers for Prostate Cancer. Biomedicines, 9(6), 646. 10.3390/biomedicines9060646
Doi 10.3390/biomedicines9060646
Publication Date 5 Jun 2021
Publication Type Article
Researcher Eduardo Andrés-León
Ontology Clinical data
Research Groups Computational Biomedicine and Health Data Science
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