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논문 기본 정보

자료유형
학술저널
저자정보
Kazuhiro Suzuki (Nagoya University Japan) Akira Yokoi (Department of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan) Kosuke Yoshida (Nagoya University Graduate School of Medicine) Tomoyasu Kato (National Cancer Center Hospital Tokyo Japan) Takahiro Ochiya (Institute of Medical Science Tokyo Medical University Tokyo Japan) Yusuke Yamamoto (National Cancer Center Research Institute Tokyo Japan) Hiroaki Kajiyama (Nagoya University)
저널정보
대한부인종양학회 Journal of Gynecologic Oncology Journal of Gynecologic Oncology Vol.34 No.3
발행연도
2023.5
수록면
1 - 13 (13page)
DOI
10.3802/jgo.2023.34.e34

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Objective: Ovarian clear cell carcinoma (OCCC) is a subtype of epithelial ovarian carcinomawith poor prognosis. However, no effective biomarkers have been established for predictingunfavorable events, including recurrence and poor prognoses. Serum microRNAs (miRNAs)have been increasingly reported to be useful in predicting a patient’s condition and have beenrecognized as a potentially less-invasive source for liquid biopsy in cancer. Therefore, thisstudy aimed to evaluate serum miRNA profiles from patients with OCCC and to establishbiomarker for predicting the prognoses. Methods: The GSE106817, which included preoperative serum miRNA profiles of patientswith ovarian tumors, was used, and clinical information was investigated. In all, 66 patientswith OCCC were included, excluding those with other histological subtypes or insufficientprognostic information. Moreover, miRNA profiles of OCCC tissues were also examined. Results: The median follow-up period was 64.3 (8.0–153.3) months. Based on multivariable Coxregression analyses and the expression of miRNAs in OCCC tissues, miR-150-3p, miR-3195, andmiR-7704 were selected as miRNA candidates associated with both progression-free sur vival(PFS) and overall sur vival (OS). Then, the prognostic index was calculated based on expressionvalues of 3 serum miRNAs. Kaplan-Meier sur vival analysis indicated that the prognostic indexwas significantly predictive of PFS and OS (p=0.004 and p=0.012, respectively). Conclusion: Preoperative serum miRNA profiles of miR-150-3p, miR-3195, and miR-7704 canbe used to potentially predict the prognosis of patients with OCCC.

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