Let‐7a‐5p, mir‐100‐5p, mir‐101‐3p, and mir‐199a‐3p hyperexpression as potential predictive biomarkers in early breast cancer patients

P. Fuso, Salvatore M. Di, Concetta Santonocito, D. Guarino, C. Autilio, A. Mule, Damiano Arciuolo, A. Rinninella, F. Mignone, M. Ramundo, Stefano B. Di, A. Orlandi, E. Capoluongo, N. Nicolotti, Gianluca Franceschini, A. M. Sanchez, Giampaolo Tortora, G. Scambia, C. Barone, Alessandra Cassano

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

Background: The aim of this study is to identify miRNAs able to predict the outcomes in breast cancer patients after neoadjuvant chemotherapy (NAC). Patients and methods: We retrospec-tively analyzed 24 patients receiving NAC and not reaching pathologic complete response (pCR). miRNAs were analyzed using an Illumina Next‐Generation‐Sequencing (NGS) system. Results: Event‐free survival (EFS) and overall survival (OS) were significantly higher in patients with up-regulation of let‐7a‐5p (EFS p = 0.006; OS p = 0.0001), mirR‐100‐5p (EFS s p = 0.01; OS p = 0.03), miR‐ 101‐3p (EFS p = 0.05; OS p = 0.01), and miR‐199a‐3p (EFS p = 0.02; OS p = 0.01) in post‐NAC samples, independently from breast cancer subtypes. At multivariate analysis, only let‐7a‐5p was significantly associated with EFS (p = 0.009) and OS (p = 0.0008). Conclusion: Up‐regulation of the above miRNAs could represent biomarkers in breast cancer.
Lingua originaleInglese
pagine (da-a)1-17
Numero di pagine17
RivistaJournal of Personalized Medicine
Volume11
Numero di pubblicazione8
DOI
Stato di pubblicazionePubblicato - 2021

All Science Journal Classification (ASJC) codes

  • Medicina (varie)

Keywords

  • Breast cancer treatment
  • Chemotherapy
  • Integrated ther-apies
  • MiRNAs
  • Next‐generation‐sequencing
  • Personalized medicine
  • Precision medicine
  • Subtypes breast cancer
  • Target therapy

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