Evidence map›Paper›PMID 36603851›Full record

ArticleJournal of gynecologic oncology2023

Preoperative serum microRNAs as potential prognostic biomarkers in ovarian clear cell carcinoma.

Kazuhiro Suzuki, Akira Yokoi, Kosuke Yoshida, Tomoyasu Kato, Takahiro Ochiya, Yusuke Yamamoto, Hiroaki Kajiyama

Open access · diamondAbstract read
In one paragraph

Article in Journal of gynecologic oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Kazuhiro SuzukiDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0001-7606-2169
Akira YokoiDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0003-0789-5102
Kosuke YoshidaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0003-1484-4872
Tomoyasu KatoDepartment of Gynecology, National Cancer Center Hospital, Tokyo, Japan.ORCID 0000-0001-9561-1522
Takahiro OchiyaDepartment of Molecular and Cellular Medicine, Institute of Medical Science, Tokyo Medical University, Tokyo, Japan.ORCID 0000-0002-0776-9918
Yusuke YamamotoLaboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan.ORCID 0000-0002-5262-8479
Hiroaki KajiyamaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0003-0493-1825
Nagoya University · JPNagoya University Hospital · JPTokyo Medical University · JPTokyo National Hospital · JP

Funding

Daiichi Sankyo Foundation of Life ScienceJapan Research Foundation for Clinical Pharmacology 2021A18Japan Science and Technology Agency 20-25237JSPS KAKENHI 21H03075JSPS KAKENHI 21K16789Mochida Memorial Foundation for Medical and Pharmaceutical ResearchNagoya UniversityTokai Pathway to Global Excellence FY2021Uehara Memorial Foundation
6 · The paper itself

Abstract

objectiveOvarian clear cell carcinoma (OCCC) is a subtype of epithelial ovarian carcinoma with poor prognosis. However, no effective biomarkers have been established for predicting unfavorable events, including recurrence and poor prognoses. Serum microRNAs (miRNAs) have been increasingly reported to be useful in predicting a patient's condition and have been recognized as a potentially less-invasive source for liquid biopsy in cancer. Therefore, this study aimed to evaluate serum miRNA profiles from patients with OCCC and to establish biomarker for predicting the prognoses.

methodsThe GSE106817, which included preoperative serum miRNA profiles of patients with ovarian tumors, was used, and clinical information was investigated. In all, 66 patients with OCCC were included, excluding those with other histological subtypes or insufficient prognostic information. Moreover, miRNA profiles of OCCC tissues were also examined.

resultsThe median follow-up period was 64.3 (8.0-153.3) months. Based on multivariable Cox regression analyses and the expression of miRNAs in OCCC tissues, miR-150-3p, miR-3195, and miR-7704 were selected as miRNA candidates associated with both progression-free survival (PFS) and overall survival (OS). Then, the prognostic index was calculated based on expression values of 3 serum miRNAs. Kaplan-Meier survival analysis indicated that the prognostic index was significantly predictive of PFS and OS (p=0.004 and p=0.012, respectively).

conclusionPreoperative serum miRNA profiles of miR-150-3p, miR-3195, and miR-7704 can be used to potentially predict the prognosis of patients with OCCC.

Indexed as

MicroRNAsOvarian NeoplasmsBiomarkers, TumorCarcinoma, Ovarian EpithelialFemaleHumansKaplan-Meier EstimatePrognosisBiomarkers, TumorMicroRNAsBiomarkersDisease ProgressionMicroRNAsOvarian NeoplasmsPrognosisSerum

Identifiers

PMID36603851
PMCPMC10157334
OpenAlexW4313580510

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.