Evidence map›Paper›PMID 34802430›Full record

ArticleJournal of ovarian research2021

Bevacizumab confers significant improvements in survival for ovarian cancer patients with low miR-25 expression and high miR-142 expression.

Jun Li, Huiran Yue, Wenzhi Li, Guohua Zhu, Tingting Zhu, Ruifang Chen, Xin Lu

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. The Role of microRNA in the Prognosis and Diagnosis of Ovarian Cancer.International journal of molecular sciences · 2025
    Review
  3. Review
  4. Article
  5. Review
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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 2 institutions in 1 country.

Jun LiPresent Address: Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, No.419, Fangxie Road, Shanghai, 200011, People's Republic of China.
Huiran YuePresent Address: Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, No.419, Fangxie Road, Shanghai, 200011, People's Republic of China.
Wenzhi LiPresent Address: Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, No.419, Fangxie Road, Shanghai, 200011, People's Republic of China.
Guohua ZhuPresent Address: Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, No.419, Fangxie Road, Shanghai, 200011, People's Republic of China.
Tingting ZhuPresent Address: Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, No.419, Fangxie Road, Shanghai, 200011, People's Republic of China.
Ruifang ChenPresent Address: Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, No.419, Fangxie Road, Shanghai, 200011, People's Republic of China.
Xin LuPresent Address: Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, No.419, Fangxie Road, Shanghai, 200011, People's Republic of China. xin_lu@fudan.edu.cn.ORCID http://orcid.org/0000-0002-1684-4465
Obstetrics and Gynecology Hospital of Fudan University · CNFudan University · CN

Funding

National Natural Science Foundation of China 82072877Natural Science Foundation of Shanghai 20ZR1408900
6 · The paper itself

Abstract

backgroundLymphovascular space invasion (LVSI) is the first step of hematogenous metastasis. Exploration of the differential miRNA expression profiles between LVSI-positive and LVSI-negative ovarian cancer tissues may help to identify key miRNAs involved in the hematogenous metastasis of ovarian cancer. This study is aimed to identify microRNAs (miRNAs) that are differentially expressed between LVSI-positive and LVSI-negative ovarian cancer tissues, followed by exploring their association with bevacizumab response in ovarian cancer patients.

methodsThe Cancer Genome Altas (TGGA) dataset was used to identify the differentially expressed miRNAs between LVSI-positive and LVSI-negative ovarian cancer tissues. The prognostic value of the differentially expressed miRNAs was determined using GSE140082 dataset.

resultsWe showed that miR-25 and miR-142 were differentially expressed between LVSI-positive and LVSI-negative ovarian cancer tumors. Kaplan-Meier analysis indicated that high miR-25 expression was associated with increased progression free survival (PFS) and extended overall survival (OS). Moreover, patients with low miR-25 expression benefited significantly from bevacizumab treatment in terms of PFS. A similar trend was observed in terms of OS though without reaching statistical significance. In contrast, no significant survival benefits from bevacizumab were observed in patients with high miR-25 expression in terms of PFS and OS. There was no significant correlation between miR-142 expression and PFS. In contrast, high miR-142 expression was associated with reduced OS. Moreover, patients with high miR-142 expression benefited significantly from bevacizumab treatment in terms of PFS and OS. However, bevacizumab treatment conferred no significant improvements in both PFS and OS in patients with low miR-142 expression. The nomogram for PFS indicated that miR-25 expression had a larger contribution to PFS than debulking status and bevacizumab treatment. And the nomogram for OS illustrated both miR-25 expression and miR-142 expression as sharing a larger contribution to OS than bevacizumab treatment and debulking status.

conclusionIn conclusion, miR-25 expression correlates with a better PFS and OS in ovarian cancer. Patients with low miR-25 expression and high miR-142 expression could benefit from bevacizumab treatment significantly.

Indexed as

Antineoplastic Agents, ImmunologicalBevacizumabFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMicroRNAsNomogramsOvarian NeoplasmsPrognosisProgression-Free SurvivalSurvival RateTreatment OutcomeAntineoplastic Agents, ImmunologicalBevacizumabMicroRNAsMIRN142 microRNA, humanMIRN25 microRNA, humanBevacizumabLymphovascular space invasionMicroRNAOvarian cancerPrognosis

Identifiers

PMID34802430
PMCPMC8607647
OpenAlexW3217786182

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.