Evidence map›Paper›PMID 40697329›Full record

ArticleHuman mutation2025

Prognostic Value of Ubiquitination-Related Genes in Ovarian Cancer and Their Correlation With Tumor Immunity.

Shu Zhao, Xiaojing Lin, Yuying Huang, Zhongmin Kang, Huali Luo, Qizhu Zhang, Qinshan Li, Mengxing Li

Erratum issuedAbstract read
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Article in Human mutation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Shu Zhao *Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0002-0560-3487
Xiaojing Lin *Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0003-4100-0082
Yuying HuangDepartment of Clinical Biochemistry, School of Medical Laboratory Science, Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0005-5290-5498
Zhongmin KangClinical Medical College, Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0003-5929-906X
Huali LuoDepartment of Clinical Biochemistry, School of Medical Laboratory Science, Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0007-8881-9166
Qizhu ZhangDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0002-7684-3605
Qinshan LiDepartment of Obstetrics and Gynecology, Institute of Precision Medicine of Guizhou Province, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0006-9501-2080
Mengxing LiClinical Medical College, Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0000-0003-3989-2993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have emphasized the importance of the ubiquitin-proteasome system (UPS) in the malignant progression of ovarian cancer (OC). However, whether ubiquitination-related genes (UbRGs) can be used to predict the prognosis of OC remains to be revealed. Patients with OC were divided into two clusters based on the expression of UbRGs, and prognosis was compared between the two clusters. A prognostic model was established based on UbRGs, and its predictive efficiency was validated using Kaplan-Meier (K-M) curves, receiver operating characteristic (ROC) curves, and a nomogram. Immune infiltration and gene mutation analyses were used to examine the effects of UbRGs on the prognosis of OC. The prognostic model served as a valid and independent predictor of OC prognosis. Immune infiltration revealed that the unique immune microenvironment of OC was regulated by UbRGs. Gene mutation analysis indicates that UbRGs likely influence OC malignant behavior by modulating gene mutation patterns. In addition, Ube2j1 was found to play an important role in regulating the malignant progression of OC. Furthermore, the mechanism by which Ube2j1 modulates the OC phenotype and reshapes its immune microenvironment via the JAK2/STAT3/PD-L1 pathway was elucidated, providing novel insights into the potential for ubiquitination-based immunotherapy in OC. This study provides novel insights into precision immunotherapy based on UbRGs in OC. The UbRGs-based prognostic model may help to provide novel insights for the application of ubiquitination-based immunotherapy in OC.

Indexed as

Biomarkers, TumorOvarian NeoplasmsUbiquitinationUbiquitin-Conjugating EnzymesFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMiddle AgedMutationPrognosisTumor MicroenvironmentBiomarkers, TumorUbiquitin-Conjugating Enzymesimmune infiltrationovarian cancerprognostic modelTCGAubiquitination

Identifiers

PMID40697329
PMCPMC12283211

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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.