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

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Fuso, Paola; Di Salvatore, Mariantonietta; Santonocito, Concetta; Guarino, Donatella; Autilio, C.; Mule, A.; Arciuolo, Damiano; Rinninella, A.; Mignone, Flavio; Ramundo, M.; Di Stefano, B.; Orlandi, Armando; Capoluongo, Ettore Domenico; Nicolotti, Nicola; Franceschini, Gianluca; Sanchez, A. M.; Tortora, Giampaolo; Scambia, Giovanni; Barone, C.; Cassano, Alessandra
    • بيانات النشر:
      MDPI
    • الموضوع:
      2021
    • Collection:
      Università Cattolica del Sacro Cuore: PubliCatt
    • نبذة مختصرة :
      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.
    • Relation:
      info:eu-repo/semantics/altIdentifier/wos/WOS:000689566400001; volume:11; issue:8; firstpage:1; lastpage:17; numberofpages:17; issueyear:2021; journal:JOURNAL OF PERSONALIZED MEDICINE; http://hdl.handle.net/10807/190389; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85113804265
    • الرقم المعرف:
      10.3390/jpm11080816
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.35DF740