Identification of MiRNAs as Viable Aggressiveness Biomarkers for Prostate Cancer
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Martínez González, Luis Javier; Sánchez Conde, Victor; González Cabezuelo, Jose María; Antúnez Rodríguez, Alba; Andrés-León, Eduardo; Robles Fernández, Inmaculada; Lorente Acosta, José Antonio; Vázquez Alonso, Fernando; Álvarez Cubero, María JesúsEditorial
MDPI
Materia
Aggressiveness Biomarkers Bioinformatics Precision medicine Prostate cancer
Date
2021Referencia bibliográfica
Martínez-González, L.J.; Sánchez-Conde, V.; González-Cabezuelo, J.M.; Antunez-Rodríguez, A.; Andrés-León, E.; Robles-Fernandez, I.; Lorente, J.A.; Vázquez-Alonso, F.; Alvarez-Cubero, M.J. Identification of MiRNAs as Viable Aggressiveness Biomarkers for Prostate Cancer. Biomedicines 2021, 9, 646. https://doi.org/10.3390/ biomedicines9060646
Sponsorship
Regional Ministry of Health and Families of the Andalusian Government (ref: PI-0319-2018); FIBAO (Andalusian Public Foundation for Biomedical Research in Eastern Andalusia, “Alejandro Otero”)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-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, miR93-5p seems the most promising non-invasive biomarker for PC. To sum up,
miR-210-3p, miR-23c, miR-592, and miR93-5p 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.