Evidence map›Paper›PMID 41040909›Full record

ArticleOncology letters2025

Role of long non-coding RNA-mRNA interactions in resveratrol-mediated inhibition of ovarian cancer cell proliferation.

Weihua Zhu, Jiahui Feng, Yuanting Zhang, Qianqian Zhou, Herong Huang, Yu Yang

Abstract read
In one paragraph

Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Weihua ZhuDepartment of Basic Medical Sciences, Clinical College of Anhui Medical University, Hefei, Anhui 230031, P.R. China.
Jiahui FengDepartment of Basic Medical Sciences, Clinical College of Anhui Medical University, Hefei, Anhui 230031, P.R. China.
Yuanting ZhangDepartment of Basic Medical Sciences, Clinical College of Anhui Medical University, Hefei, Anhui 230031, P.R. China.
Qianqian ZhouDepartment of Basic Medical Sciences, Clinical College of Anhui Medical University, Hefei, Anhui 230031, P.R. China.
Herong HuangDepartment of Basic Medical Sciences, Clinical College of Anhui Medical University, Hefei, Anhui 230031, P.R. China.
Yu YangDepartment of Basic Medical Sciences, Clinical College of Anhui Medical University, Hefei, Anhui 230031, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is a prevalent gynecological malignancy requiring advancements in treatment. Resveratrol (RES), a natural polyphenolic compound, has attracted widespread attention due to its potent anticancer properties. Long non-coding (lnc)RNAs serve crucial regulatory roles in OC pathogenesis. However, the mechanism underlying the RES-mediated inhibition of OC cell proliferation through lncRNA regulation is not fully understood. The present study aimed to assess the role of lncRNAs in RES-mediated inhibition of OC cell growth. The A2780 OC cell line was used as the experimental model to establish control and RES-treated groups. The effect of RES on OC cell migration was also evaluated. Differentially expressed lncRNAs (DELs) were identified after RES treatment. lncRNA-mRNA regulatory networks of tumor-related pathways were constructed and functionally assessed using reverse transcription-quantitative PCR, proliferation assays, and knockdown and overexpression of hub lncRNAs. The results demonstrated that RES significantly inhibited OC cell migration. Moreover, 721 DELs were identified after RES treatment and were predominantly enriched in the p53 signaling pathway and cell cycle regulation associated with tumorigenesis. Key lncRNAs, including

Indexed as

long non-coding RNAmRNAnetworkovarian cancerresveratrol

Identifiers

PMID41040909
PMCPMC12486746

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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.