Extracellular miRNAs as Predictive Biomarkers for Glypican-3-Derived Peptide Vaccine Therapy Response in Ovarian Clear Cell Carcinoma.
biomarker
immunotherapy
miRNA
ovarian cancer
ovarian clear cell carcinoma
peptide vaccine
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
01 Feb 2021
01 Feb 2021
Historique:
received:
08
01
2021
accepted:
27
01
2021
entrez:
4
2
2021
pubmed:
5
2
2021
medline:
5
2
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33535558
pii: cancers13030550
doi: 10.3390/cancers13030550
pmc: PMC7867082
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research
ID : 16H05472, 24791698, and 24592512
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