Evidence map›Paper›PMID 34618992›Full record

ArticleCancer science2021

Extracellular microRNA profiling for prognostic prediction in patients with high-grade serous ovarian carcinoma.

Kosuke Yoshida, Akira Yokoi, Juntaro Matsuzaki, Tomoyasu Kato, Takahiro Ochiya, Hiroaki Kajiyama, Yusuke Yamamoto

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  10. miR-1908 Dysregulation in Human Cancers.Frontiers in oncology · 2022
    Review
  11. Article
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 5 institutions in 1 country.

Kosuke YoshidaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Akira YokoiDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0003-0789-5102
Juntaro MatsuzakiLaboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3204-5049
Tomoyasu KatoDepartment of Gynecology, National Cancer Center Hospital, Tokyo, Japan.
Takahiro OchiyaDepartment of Molecular and Cellular Medicine, Institute of Medical Science, Tokyo Medical University, Tokyo, Japan.
Hiroaki KajiyamaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yusuke YamamotoLaboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5262-8479
Nagoya University Hospital · JPKeio University · JPNagoya University · JPTokyo Medical University · JPTokyo National Hospital · JP

Funding

Practical Research for Innovative Cancer Control, Japan Agency for Medical Research and Development (AMED) 20ck0106630h0001Yokoyama Foundation for Clinical Pharmacology TRY-2014
6 · The paper itself

Abstract

High-grade serous ovarian carcinoma is a leading cause of death in female patients worldwide. MicroRNAs (miRNAs) are stable noncoding RNAs in the peripheral blood that reflect a patient's condition, and therefore, they have received substantial attention as noninvasive biomarkers in various diseases. We previously reported the usefulness of serum miRNAs as diagnostic biomarkers. Here, we investigated the prognostic impact of the serum miRNA profile. We used the GSE106817 dataset, which included preoperative miRNA profiles of patients with ovarian malignancies. Excluding patients with other malignancy or insufficient prognostic information, we included 175 patients with high-grade serous ovarian carcinoma. All patients except four underwent surgery and received chemotherapy as initial treatment. The median follow-up period was 54.6 months (range, 3.5-144.1 months). Univariate Cox regression analysis revealed that higher levels of miR-187-5p and miR-6870-5p were associated with both poorer progression-free survival (PFS) and overall survival (OS), and miR-1908-5p, miR-6727-5p, and miR-6850-5p were poor prognostic indicators of PFS. The OS and PFS prognostic indices were then calculated using the expression values of three prognostic miRNAs. Multivariate Cox regression analysis showed that both indices were significantly independent poor prognostic factors (hazard ratio for OS and PFS, 2.343 [P = .015] and 2.357 [P = .005], respectively). In conclusion, circulating miRNA profiles can potentially provide information to predict the prognosis of patients with high-grade serous ovarian carcinoma. Therefore, there is a strong demand for early clinical application of circulating miRNAs as noninvasive biomarkers.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesCell Line, TumorCirculating MicroRNACystadenocarcinoma, SerousDatabases, GeneticFemaleGene Expression ProfilingHumansMicroRNAsMiddle AgedNeoplasm GradingOvarian NeoplasmsBiomarkers, TumorCirculating MicroRNAMicroRNAsMIRN1908 microRNA, humancirculating miRNAhigh-grade serous ovarian carcinomamiR-187-5pmiR-6870-5pnoninvasive biomarker

Identifiers

PMID34618992
PMCPMC8645733
OpenAlexW3203241075

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Registered trials

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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.