Extracellular miRNAs as predictive biomarkers for glypican-3-derived peptide vaccine therapy response in ovarian clear cell carcinoma

Mayu Ukai, Akira Yokoi, Kosuke Yoshida, Shiro Suzuki, Kiyosumi Shibata, Fumitaka Kikkawa, Tetsuya Nakatsura, Hiroaki Kajiyama

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Ovarian clear cell carcinoma (OCCC) has been treated with surgery and chemotherapy; however, the prognosis remains poor because of chemoresistance. Therefore, immunotherapies are attracting attention, including the GPC3 peptide vaccine, which improves overall survival. However, the response rate is limited and there are no sufficient predictive biomarkers that can identify responders before treatment. Our purpose was to identify circulating serum miRNAs as predictive biomarkers for response to GPC3 peptide vaccine. Eighty-four patients in a phase II trial of a GPC3 peptide vaccine were enrolled and miRNA sequencing was performed on their serum samples. Candidate miRNAs were selected from a group of 14 patients for whom treatment was responsive and validated in an independent group of 10 patients for whom treatment was responsive. Three markedly upregulated miRNAs, miR-375-3p, miR-193a-5p, and miR-1228-5p, were identified, and the combination of those miRNAs demonstrated high value in the prediction of the response. The origin of these miRNAs was assessed by referring to OCCC tissue miRNA profiles, and they were not identified as cancer tissue-related miRNAs. Functional annotation analysis suggested that they were associated with interferon-related pathways. The miRNAs identified herein have great potential to allow the realization of liquid biopsy for predicting the immunotherapy response and precision medicine.

Original languageEnglish
Article number550
Pages (from-to)1-18
Number of pages18
JournalCancers
Volume13
Issue number3
DOIs
Publication statusPublished - 01-02-2021

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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