ArticleCancer genomics & proteomics
Loss of Both USP10 and p14ARF Protein Expression Is an Independent Prognostic Biomarker for Poor Prognosis in Patients With Epithelial Ovarian Cancer.
Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Mapping and visualization of global research progress on deubiquitinases in ovarian cancer: a bibliometric analysis.Frontiers in pharmacology · 2024Pooled it
- Ubiquitin-specific proteases in ovarian cancer: molecular mechanisms and therapeutic implications.Journal of ovarian research · 2026Review
- USP10 suppresses ABCG2-induced malignant characteristics of doxorubicin-resistant thyroid cancer by inhibiting PI3K/AKT pathway.Journal of bioenergetics and biomembranes · 2023Article
- USP10 deubiquitinates RUNX1 and promotes proneural-to-mesenchymal transition in glioblastoma.Cell death & disease · 2023Article
- Review
- The Prognostic Value and Immune Infiltration of USP10 in Pan-Cancer: A Potential Therapeutic Target.Frontiers in oncology · 2022Article
- Loss of Ras GTPase-activating protein SH3 domain-binding protein 1 (G3BP1) inhibits the progression of ovarian cancer in coordination with ubiquitin-specific protease 10 (USP10).Bioengineered · 2022Article
- Ubiquitin-specific peptidase 10, a deubiquitinating enzyme: Assessing its role in tumor prognosis and immune response.Frontiers in oncology · 2022Review
- USP10 alleviates sepsis-induced acute kidney injury by regulating Sirt6-mediated Nrf2/ARE signaling pathway.Journal of inflammation (London, England) · 2021Article
- Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer.Journal of Cancer · 2021Review
- When the chains do not break: the role of USP10 in physiology and pathology.Cell death & disease · 2020Review
- Revisiting the Concept of Stress in the Prognosis of Solid Tumors: A Role for Stress Granules Proteins?Cancers · 2020Review
- Post-Translational Regulation of ARF: Perspective in Cancer.Biomolecules · 2020Review
- Development and Validation of Autophagy-Related Gene Signature and Nomogram for Predicting Survival in Oral Squamous Cell Carcinoma.Frontiers in oncology · 2020Article
- Ubiquitin-Specific Protease 10: A New Target in Tumor Immune Escape.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimThe prognostic role of USP10 in epithelial ovarian cancer has been studied in various human cancers. Our aim was to evaluate the clinical and pathological significance of USP10 in epithelial ovarian cancer. MATERIALS AND
methodsImmunohistochemical analyses of the expression of USP10 and p14ARF by using tissue microarrays were performed in 336 ovarian tumours and the data were compared with clinicopathological variables. We examined their level of DNA methylation around the putative transcriptional start site in 5' CpG islands in fresh frozen tissues and ovarian cancer cells.
resultsExpression of USP10 and p14ARF was significantly lower in cancer tissues than in normal epithelium. Low USP10 expression and a combined USP10/p14ARF low expression were revealed to be independent prognostic factors. A high degree of methylation in USP10 and p14ARF CpG islands was found by methylation specific PCR analysis in cancer than in normal tissues and cells.
conclusionDecreased expression of USP10 or combined USP10/p14ARF decreased expression is a strong indicator of poor prognosis in patients with ovarian cancer.
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Registered trials
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.