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

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.

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Publication Details

Journal
Scientific Reports
Published
2024-10-24
DOI
https://doi.org/10.1038/s41598-024-76945-2
Citations
7
Primary Topic
Ubiquitin and proteasome pathways
Type
article
Field-Weighted Citation Impact
1.64

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article

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

Yankun Yu, Wei Li, Xiaoning Li, Si‐Yuan Li et al.
7 citations
Scientific Reports
Ubiquitin and proteasome pathways
1.64
article

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

Yankun Yu, Wei Li, Xiaoning Li, Si‐Yuan Li, Donglin Luo, Wei Jia, Tao Lin, Yeernaer Hazaisihan
article en
7 citations

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.

Scientific ReportsVol. 14(1)
Shihezi University (CN), First Affiliated Hospital of Shihezi University Medical College (CN)
Strong, National Natural Science Foundation of China, Shihezi University, Xinjiang Production and Construction Corps
Openalex Percentile: Top 16%
Ubiquitin and proteasome pathways
1.64
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