scholarly journals Extracellular miRNAs as Predictive Biomarkers for Glypican-3-Derived Peptide Vaccine Therapy Response in Ovarian Clear Cell Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 550
Author(s):  
Mayu Ukai ◽  
Akira Yokoi ◽  
Kosuke Yoshida ◽  
Shiro Suzuki ◽  
Kiyosumi Shibata ◽  
...  

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.

2013 ◽  
Vol 10 (2) ◽  
pp. 338-343 ◽  
Author(s):  
Shiro Suzuki ◽  
Shiro Suzuki ◽  
Kiyosumi Shibata ◽  
Kiyosumi Shibata ◽  
Fumitaka Kikkawa ◽  
...  

2016 ◽  
Vol 5 (11) ◽  
pp. e1238542 ◽  
Author(s):  
Shiro Suzuki ◽  
Jun Sakata ◽  
Fumi Utsumi ◽  
Ryuichiro Sekiya ◽  
Hiroaki Kajiyama ◽  
...  

2013 ◽  
Vol 14 (3) ◽  
pp. 6067-6073 ◽  
Author(s):  
Munmun Rahman ◽  
Kentaro Nakayama ◽  
Tomoka Ishibashi ◽  
Masako Ishikawa ◽  
Mohammed Rahman ◽  
...  

2021 ◽  
Author(s):  
Shigeatsu Takamizawa ◽  
Junya Kojima ◽  
Tomohiro Umezu ◽  
Masahiko Kuroda ◽  
Shigehiro Hayashi ◽  
...  

Abstract Background: Ovarian cancer is a malignant gynecologic disease rarely diagnosed in the early stages. Among ovarian cancers, clear cell carcinoma has a poor prognosis due to its malignant potential. MicroRNAs (miRNAs) regulate gene expression in cells by suppressing the translation of the target gene or by degrading the target mRNA. They are also secreted from the cells in the blood, binding to the proteins or included in extracellular vesicles lipids and assisting in cell-cell communication. Hence, the serum miRNAs can also be diagnostic biomarkers for ovarian cancer. This study investigated and identified specific miRNAs for ovarian cancer clear cell carcinoma and compared them to those of the ovarian endometrioma in healthy controlpatients. Results: CA125, an ovarian tumor marker, did not differ between ovarian clear cell carcinoma, endometriosis, and healthy controlsthe three groups. Four miRNAs (miR-146a-5p, miR-191-5p, miR-484, and miR-574-3p) were analyzed. The miR-146a-5p and miR-191-5p expression levels were significantly increased in the serum samples from the ovarian clear cell carcinoma subjects compared to the healthy controlscontrols, but not in the subjects with endometriosis (P < 0.05). Furthermore, the bioinformatics analysis showed that CCND2 and NOTCH2 were the candidate target genes of miR‑146a-5p and miR-191-5p.Conclusions: Our results showed that miR‑146a-5p and miR-191-5p might be useful as an early and non-invasive diagnostic tool in ovarian clear cell carcinoma. These miRNAs can help in distinguishing between ovarian clear cell carcinoma and ovarian endometrioma. To the best of our knowledge, no studies have screened any candidates specifically for clear cell carcinoma.


2020 ◽  
Vol 40 (12) ◽  
pp. 6791-6798
Author(s):  
MARIKO MIYAZAWA ◽  
MASANORI YASUDA ◽  
MASAKI MIYAZAWA ◽  
NAOKI OGANE ◽  
TOMOMI KATOH ◽  
...  

Oncotarget ◽  
2016 ◽  
Vol 7 (39) ◽  
pp. 62925-62938 ◽  
Author(s):  
I-Ling Hsu ◽  
Cheng-Yang Chou ◽  
Yi-Ying Wu ◽  
Jia-En Wu ◽  
Chen-Hsien Liang ◽  
...  

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