ArticleJournal of cellular and molecular medicine2021
Prognostic evaluation and immune infiltration analysis of five bioinformatic selected genes in hepatocellular carcinoma.
Article in Journal of cellular and molecular medicine, 2021. 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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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- [High expression of UBE2S promotes progression of hepatocellular carcinoma by increasing cancer cell stemness].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Insights on epithelial cells at the single-cell level in hepatocellular carcinoma prognosis and response to chemotherapy.Frontiers in pharmacology · 2023Article
- CDC20 in and out of mitosis: a prognostic factor and therapeutic target in hematological malignancies.Journal of experimental & clinical cancer research : CR · 2022Review
- Prognostic evaluation and immune infiltration analysis of five bioinformatic selected genes in hepatocellular carcinoma.Journal of cellular and molecular medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the development in hepatocellular carcinoma (HCC) treatment in recent years, the therapeutic outcome of HCC remains unfavourable. This study examines the prognosis of HCC from a genetic level using clinical databases and single-cell data to identify genes with a high prognostic value. Three up-regulated genes (UBE2S, PTTG1, and CDC20) and two down-regulated genes (SOCS2 and DNASE1L3) in HCC tissues were identified. Various analyses confirmed its correlation with tumour stage (p < 0.01) and patient survival time (log-rank p < 0.001). Immune analysis, single-cell analysis, and gene set enrichment analysis (GSEA) were employed to provide insight on how they affect cancer progression, and we observed a close relation between these genes and tumour immune infiltration. Eventually, we constructed a risk score system that risk score = (0.0465) × UBE2S + (0.1851) × CDC20 + (-0.0461) × DNASE1L3 + (-0.2279) × SOCS2 (5-year area under curve = 0.706). The risk score system may serve as an effective novel prognostic system for HCC patients. This study might provide novel ideas for prognostic or therapeutic biomarkers for HCC.
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