Evidence map›Paper›PMID 39448713›Full record

ArticleScientific reports2024

Ubiquitin-related gene markers predict immunotherapy response and prognosis in patients with epithelial ovarian carcinoma.

Donglin Luo, Xiaoning Li, Li Wei, Yankun Yu, Yeernaer Hazaisihan, Lin Tao, Siyuan Li, Wei Jia

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Donglin Luo *First Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China.
Xiaoning Li *First Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China.
Li WeiFirst Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China.
Yankun YuFirst Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China.
Yeernaer HazaisihanFirst Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China.
Lin TaoFirst Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China.
Siyuan LiFirst Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China. 503654536@qq.com.
Wei JiaFirst Affiliated Hospital, Department of Pathology, Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University, Shihezi University School of Medicine, Shihezi, China. jiawei@shzu.edu.cn.

Funding

International Science and Technology Cooperation promotion program of Shihezi university GJHZ202301Strong Youth Science and Technology Leading Talents in Science and Technology Innovation project of Corps 2023CB008-02The National Natural Science Foundation of China 82360494
6 · The paper itself

Abstract

Epithelial ovarian carcinoma (EOC) is the most fatal among female reproductive system tumors. The immune tumor microenvironment and ubiquitin-proteasome pathway are closely related to the proliferation, invasion, and response to chemotherapy in EOC. However, their specific roles in EOC have not been fully elucidated. Therefore, we aimed to recognize potential prognostic markers and novel therapeutic targets for EOC. We constructed the ubiquitin-related signature risk model comprising HSP90AB1, FBXO9, SIGMAR1, STAT1, SH3KBP1, EPB41L2, DNAJB6, VPS18, PPM1G, AKAP12, FRK, and PYGB, specifically for patients with EOC. The high-risk model presented a worse prognosis, primarily associated with the B-cell receptor signaling pathway, ECM receptor interaction, focal adhesion, and actin cytoskeleton regulations. Analysis of the immune landscape revealed a higher abundance of B cells, M2 macrophages, neutrophil CD4 T cells, cancer-associated fibroblasts, macrophage neutrophils, and fibroblasts in the high-risk group. It also exhibited lower tumor mutation burden, mRNAsi, and EREG-mRNAsi and reduced sensitivity to other chemotherapy drugs, except dasatinib. These findings serve as a valuable indicator for personalized treatment strategies and clinical stratification in managing patients with EOC. Additionally, our study will serve as a foundation for future mechanistic research to explore the association between the ubiquitin-proteasome pathway and EOC.

Indexed as

Biomarkers, TumorCarcinoma, Ovarian EpithelialImmunotherapyOvarian NeoplasmsUbiquitinFemaleGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, TumorUbiquitin

Identifiers

PMID39448713
PMCPMC11502900

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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.