Evidence map›Paper›PMID 41144123›Full record

ArticleDiscover oncology2025

Integrated transcriptomic and immunoinformatics analysis identifies tpx2, bub1b, and ube2c as diagnostic biomarkers and therapeutic targets in endometrial carcinoma.

Shuyang Zhou, Jirui Sun, Jinmei Li, Xing Zhou, Xiaoyu Shi, Minghan Yang, Yanjing Wang, Jinku Zhang

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

8 authors.

Shuyang ZhouDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China.
Jirui SunDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China.
Jinmei LiDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China.
Xing ZhouDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China.
Xiaoyu ShiDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China.
Minghan YangDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China.
Yanjing WangDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China.
Jinku ZhangDepartment of Pathology, Baoding No 1 Central Hospital, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, 071000, Baoding, China. zhangjinku@hebmu.edu.cn.

Funding

Clinical study of a new biomarker cervical cytology screening method p16 series ICC 2441ZF036
6 · The paper itself

Abstract

objectiveThis study aimed to identify novel diagnostic and prognostic biomarkers in endometrial carcinoma (EC) using integrative bioinformatics and immunohistochemical validation, with a focus on potential therapeutic targets and immune correlations.

methodsGene expression profiles from the GEO database (GSE63678 and GSE17025) and EC-related genes from the DisGeNET database were analyzed to identify overlapping differentially expressed genes (DEGs). Protein–protein interaction networks were constructed, and hub genes were identified using topological algorithms in Cytoscape. Functional enrichment was conducted via GO and KEGG analyses. Validation of hub gene expression was performed using GEPIA, Xiantao, and immunohistochemistry. Kaplan–Meier and ROC analyses assessed prognostic and diagnostic value. Immune infiltration correlations were analyzed using TIMER 2.0. Exploratory drug sensitivity analysis was performed using the GSCA platform.

resultsSixty-three EC-specific DEGs were identified. Ten hub genes were prioritized, with showing consistent overexpression in EC tissues across datasets and strong associations with poor survival. These genes were also linked to reduced immune cell infiltration and increased tumor purity. Preliminary analyses suggested positive correlations between tpx2/ube2c expression and trametinib/masitinib sensitivity.

conclusionbub1b, tpx2, and ube2c are promising biomarkers for the diagnosis and prognosis of EC. Their association with immunosuppression suggests a potential role in immune evasion. While pharmacogenomic are exploratory, they provide a basis for future investigation into their predictive value for targeted therapy.

Indexed as

Bioinformaticsbub1bEndometrial carcinomatpx2Trametinibube2c

Identifiers

PMID41144123
PMCPMC12559507

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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.