| Autor: |
Detassis S; Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123 Trento, TN, Italy.; OPTOI Srl, Via Vienna 8, 38100 Trento, TN, Italy., Precazzini F; Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123 Trento, TN, Italy.; Istituto Zooprofilattico Sperimentale Delle Venezie, Sezione di Bolzano, Via Laura Conti 4, 39100 Bolzano, BZ, Italy., Grasso M; Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123 Trento, TN, Italy.; L.N.Age Srl-Link Neuroscience and Healthcare, Via Mario Savini 15, 00136 Roma, RO, Italy., Del Vescovo V; Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123 Trento, TN, Italy.; Kapadi Italy Srl, Corso Italia 22, 20122 Milano, MI, Italy., Maines F; Division of Oncology, Santa Chiara Hospital, Largo Medaglie D'oro 9, 38122 Trento, TN, Italy., Caffo O; Division of Oncology, Santa Chiara Hospital, Largo Medaglie D'oro 9, 38122 Trento, TN, Italy., Campomenosi P; Department of Biotechnology and Life Sciences (DBSV), University of Insubria, Via J.H. Dunant 3, 21100 Varese, VA, Italy., Denti MA; Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123 Trento, TN, Italy. |
| Abstrakt: |
Abiraterone acetate (AA) serves as a medication for managing persistent testosterone production in patients with metastatic castration-resistant prostate cancer (mCRPC). However, its efficacy varies among individuals; thus, the identification of biomarkers to predict and follow treatment response is required. In this pilot study, we explored the potential of circulating microRNAs (c-miRNAs) to stratify patients based on their responsiveness to AA. We conducted an analysis of plasma samples obtained from a cohort of 33 mCRPC patients before and after three, six, and nine months of AA treatment. Using miRNA RT-qPCR panels for candidate discovery and TaqMan RT-qPCR for validation, we identified promising miRNA signatures. Our investigation indicated that a signature based on miR-103a-3p and miR-378a-5p effectively discriminates between non-responder and responder patients, while also following the drug's efficacy over time. Additionally, through in silico analysis, we identified target genes and transcription factors of the two miRNAs, including PTEN and HOXB13, which are known to play roles in AA resistance in mCRPC. In summary, our study highlights two c-miRNAs as potential companion diagnostics of AA in mCRPC patients, offering novel insights for informed decision-making in the treatment of mCRPC. |
