Evidence map›Paper›PMID 30864705›Full record

ArticleMolecular medicine reports2019

Identification of exosomal and non‑exosomal microRNAs associated with the drug resistance of ovarian cancer.

Yiwen Feng, Wenzhao Hang, Zhenyu Sang, Shuangdi Li, Wei Xu, Yi Miao, Xiaowei Xi, Qian Huang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 24 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

8 authors at 3 institutions in 1 country.

Yiwen FengDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Wenzhao HangDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Zhenyu SangDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Shuangdi LiDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Wei XuDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Yi MiaoDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Xiaowei XiDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Qian HuangDepartment of Obstetrics and Gynecology, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Nanjing Medical University · CNShanghai First People's Hospital · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) serve important roles in drug‑resistance; however, exosomal miRNAs associated with drug‑resistance in ovarian cancer (OC) have not been reported to date. The current study aimed to analyze the drug resistance‑associated exosomal miRNAs in original OC cells and their derived exosomes using microarray data downloaded from the Gene Expression Omnibus database (series GSE76449). The chemosensitive OC cell lines SKOV3_ip1, A2780_PAR and HEYA8, as well as the chemoresistant cell lines SKOV3_TR, A2780_CP20 and HEYA8_MDR, were investigated. Differentially expressed miRNAs (DE‑miRNAs) were identified using the limma method, and their mRNA targets were predicted using the miRWalk and LinkedOmics database. Functions of target genes were analyzed with DAVID tool, while TCGA data were used to explore the survival association of identified miRNAs. According to the results, 28 DE‑miRNAs were found to be common in exosomal and original samples of A2780_CP20 cells, among which the functions of 5 miRNAs were predicted (including miR‑146b‑5p, miR‑509‑5p, miR‑574‑3p, miR‑574‑5p and miR‑760). In addition, 16 and 35 DE‑miRNAs were detected for HEYA8_MDR and SKOV3_TR, respectively, with the functions of 4 of these miRNAs predicted for each cell line (HEYA8_MDR: miR‑30a‑3p, miR‑30a‑5p, miR‑612 and miR‑617; SKOV3_TR: miR‑193a‑5p, miR‑423‑3p, miR‑769‑5p and miR‑922). It was also reported that miR‑183‑5p was the only one common miRNA among the three cell lines. Furthermore, miR‑574‑3p, miR‑30a‑5p and miR‑922 may regulate CUL2 to mediate HIF‑1 cancer signaling pathway, while miR‑183‑5p may modulate MECP2, similar to miR‑760, miR‑30a‑5p and miR‑922, to influence cell proliferation. Finally, the downregulated miR‑612 may promote the expression of TEAD3 via the Hippo signaling pathway, and this miRNA was associated with poor prognosis. In conclusion, the findings of the present study suggested several underlying miRNA targets for improving the chemotherapy sensitivity of OC.

Indexed as

Antineoplastic AgentsCell Line, TumorComputational BiologyDatabases, GeneticDrug Resistance, NeoplasmExosomesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMicroRNAsOvarian NeoplasmsPrognosisReproducibility of ResultsAntineoplastic AgentsMicroRNAs

Identifiers

PMID30864705
PMCPMC6471492
OpenAlexW2918377483

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.