Evidence map›Paper›PMID 41141648›Full record

ArticleJournal of cell communication and signaling2025

Fat mass and obesity-associated protein downregulation enhances N6-methyladenosine methylation and drives ovarian cancer progression.

Xiaoling Wang, Dandan Wu, Chunxiao Li, Xiaomin Du

Abstract read
In one paragraph

Article in Journal of cell communication and signaling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xiaoling WangDepartment of Obstetrics and Gynecology The First Hospital of Quanzhou Affiliated of Fujian Medical University Quanzhou China.ORCID https://orcid.org/0009-0005-0635-8497
Dandan WuDepartment of Obstetrics and Gynecology The First Hospital of Quanzhou Affiliated of Fujian Medical University Quanzhou China.
Chunxiao LiDepartment of Obstetrics and Gynecology The First Hospital of Quanzhou Affiliated of Fujian Medical University Quanzhou China.
Xiaomin DuDepartment of Obstetrics and Gynecology The First Hospital of Quanzhou Affiliated of Fujian Medical University Quanzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer remains a major threat to women's health due to difficulties in early detection and limited treatment options. In this study, we investigate the role of FTO (fat mass and obesity-associated protein), a key demethylase involved in N6-methyladenosine (m6A) RNA modification, in the progression of ovarian cancer. Bioinformatics analysis of public datasets, along with validation in clinical samples, revealed that FTO expression was significantly lower in ovarian cancer tissues compared to normal controls. Functional assays demonstrated that FTO downregulation was associated with enhanced proliferation, migration, and invasion of ovarian cancer cells, which coincide with elevated global m6A methylation levels. Conversely, overexpression of FTO in vitro and in vivo significantly inhibited these tumorigenic phenotypes and suppressed tumor growth in a mouse xenograft model. Mechanistic studies demonstrated that FTO is localized in both the nucleus and cytoplasm and that its tumor-suppressive effects are mediated, at least in part, through modulation of Ki67 expression. Together, these findings highlight FTO as a critical negative regulator of ovarian cancer progression and underscore the potential of targeting m6A methylation pathways as a therapeutic target. This research provides novel insights into the epitranscriptomic regulation of ovarian cancer and lays the groundwork for FTO-based therapeutic development.

Indexed as

FTOKi67m6A methylationovarian cancerproliferationxenograft

Identifiers

PMID41141648
PMCPMC12552135

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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.