Evidence map›Paper›PMID 39883704›Full record

ArticlePloS one2025

Comprehensive analysis of ceRNA Networks in UCEC: Prognostic and therapeutic implications.

Li Fan, Mengqiu Lan, Xiaohua Wei, Lili Wei, Liuhong Yang, Liuying Nong, Jiajia Wei, Jingjing Li, Wenjie Huang

Abstract read
In one paragraph

Article in PloS one, 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

9 authors.

Li FanDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Mengqiu LanLiuzhou Municipal Liutie Central Hospital, Liuzhou, Guangxi, China.
Xiaohua WeiDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Lili WeiDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Liuhong YangDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Liuying NongDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Jiajia WeiDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Jingjing LiDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Wenjie HuangDepartment of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.ORCID 0000-0001-9726-4798

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (UCEC) is the most prevalent gynecological malignancy in high-income countries, and its incidence is rising globally. Although early-stage UCEC can be treated with surgery, advanced cases have a poor prognosis, highlighting the need for effective molecular biomarkers to improve diagnosis and prognosis. In this study, we analyzed mRNA and miRNA sequencing data from UCEC tissues and adjacent non-cancerous tissues from the TCGA database. Differential expression analysis was conducted using the DESeq2 package, identifying differentially expressed lncRNAs, miRNAs, and mRNAs (DElncRNAs, DEmiRNAs, and DEmRNAs). Key molecules were screened using LASSO regression, and a ceRNA network was constructed by predicting lncRNA-miRNA and miRNA-mRNA interaction, which were visualized with Cytoscape. Functional enrichment analysis elucidated the roles and mechanisms of the network. The prognostic potential of the identified RNAs was assessed through survival and Cox regression analyses, while methylation and immune infiltration analyses explored regulatory mechanisms and immune interactions. We identified a prognostic lncRNA-miRNA-mRNA ceRNA network in UCEC, centered on the CDKN2B-AS1-hsa-miR-497-5p-IGF2BP3 axis. Survival analyses confirmed the prognostic significance of this network, with univariate Cox regression demonstrating a strong association between its aberrant expression and overall prognosis in UCEC. However, multivariate Cox regression suggested that other clinical factors may modulate this relationship. Methylation analysis revealed low methylation levels of IGF2BP3, possibly contributing to its overexpression. Furthermore, immune infiltration studies highlighted significant correlations between CDKN2B-AS1, IGF2BP3, and multiple immune cell types, suggesting that this axis regulates the tumor immune microenvironment. These findings suggest that the CDKN2B-AS1-hsa-miR-497-5p-IGF2BP3 axis is a key regulatory element in UCEC and a potential therapeutic target.

Indexed as

Endometrial NeoplasmsGene Regulatory NetworksMicroRNAsRNA, MessengerBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansPrognosisRNA, Competitive EndogenousRNA, Long NoncodingBiomarkers, TumorMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodingRNA, Messenger

Identifiers

PMID39883704
PMCPMC11781699

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.