ArticleComputational and mathematical methods in medicine2022
Potential Diagnostic and Prognostic Values of CBX8 Expression in Liver Hepatocellular Carcinoma, Kidney Renal Clear Cell Carcinoma, and Ovarian Cancer: A Study Based on TCGA Data Mining.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 4 citations in OpenAlex.
- Epigenetics in Ovarian Cancer: A Review of Current Knowledge and Future Perspectives.Biomedicines · 2025Review
- Current data and future perspectives on DNA methylation in ovarian cancer (Review).International journal of oncology · 2024Review
- TRIM28 recruits E2F1 to regulate CBX8-mediated cell proliferation and tumor metastasis of ovarian cancer.Human cell · 2023Article
- Anti-complement 5 antibody ameliorates antibody-mediated rejection after liver transplantation in rats.Frontiers in immunology · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
Background: Chromobox protein homolog 8 (CBX8), a transcriptional repressor, participates in many biological processes in various carcinomas. Cell differentiation, aging, and cell cycle progression are examples of such processes. It is critical to investigate CBX8 expression and its relationship with clinicopathological characteristics in liver hepatocellular carcinoma (LIHC), kidney renal clear cell carcinoma (KIRC), and ovarian cancer (OV) to investigate CBX8's potential diagnostic and prognostic values. Methods: TCGA and CPTAC databases were used to compare the data between cancer and matched normal tissues on RNA and protein expression profiles and their relevant clinical information to determine the relationship between CBX8 and clinicopathological features. Kaplan-Meier analyses were used to assess CBX8 relationship's with disease-free survival (DFS), relapse-free survival (RFS), and overall survival (OS). The multivariate Cox regression analysis was used to identify independent risk factors which affect prognosis. DNA methylation and genetic changes and their impact on prognoses were evaluated by cBioPortal and MethSurv websites. Spearman's correlation was used to determine the relationship of CBX8 expression with somatic mutation. Tumor immune estimation resource (TIMER) was adopted to investigate the relationship between CBX8 and immune cell infiltration (ICI). CBX8-relevant genes and proteins are analyzed by EnhancedVolcano and STRING databases. The gene set enrichment analysis (GSEA) was performed to investigate the potential functions of CBX8. Results: CBX8 RNA and protein overexpression were confirmed in LIHC, KIRC, and OV ( Conclusions: CBX8 could be a potential diagnostic and prognostic biomarker for LIHC, KIRC, and OV cancers.
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