Evidence map›Paper›PMID 39249504›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2025

Identification of RTP4 facilitating ovarian cancer by bioinformatics analysis and experimental validation.

Chunyun Fang, Wenling Han, Chen Tang, Junjing Shen, Bin Ni

Abstract read
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In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 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. RTP4 Suppresses Colorectal Cancer Progression via MHC-I-Mediated CD8Journal of cellular and molecular medicine · 2025
    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

5 authors.

Chunyun FangDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Gannan Medical University, Ganzhou City, 341000, Jiangxi Province, China.
Wenling HanDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Gannan Medical University, Ganzhou City, 341000, Jiangxi Province, China.
Chen TangDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Gannan Medical University, Ganzhou City, 341000, Jiangxi Province, China.
Junjing ShenDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Gannan Medical University, Ganzhou City, 341000, Jiangxi Province, China.
Bin NiDepartment of Pharmacy, First Affiliated Hospital of Gannan Medical University, No. 128, Jinling Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China. nb891005@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OV) is the most malignant gynecological tumor in women, with poor prognosis and high mortality rate. This study aims to identify hub genes in OV and explore the role of Receptor transporter 4 (RTP4) in OV progression. Common differentially expressed genes (DEGs) were screened from two microarray datasets. GO and KEGG enrichment analysis were performed. Protein-protein interaction (PPI) network was constructed by STING. Kaplan-Meier plotter was used to analyze prognosis. The effect of target gene on immune infiltration was analyzed by TIMER. The proliferation, migration, and invasion of OV cells were measured by CCK-8, wound healing assay, and trans-well assay, respectively. A total of 293 common DEGs were selected from GSE12470 and GSE16709 datasets. Hub genes, EPCAM, KIFC1, RTP4, TAGLN, and ZFP36 were selected by PPI network. Kaplan-Meier plotter demonstrated that high expression of RTP4 was related to low overall survival in OV patients. The TIMER result showed that high expression of RTP4 promoted immune infiltration of CD8

Indexed as

Ovarian NeoplasmsCell Line, TumorCell MovementCell ProliferationComputational BiologyDatabases, GeneticFemaleGene Expression Regulation, NeoplasticHumansPrognosisProtein Interaction MapsBioinformatics analysisHub genesOvarian cancerPrognostic markerRTP4

Identifiers

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Registered trials

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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.