Article ; Online: Combining a glycolysis‑related prognostic model based on scRNA‑Seq with experimental verification identifies ZFP41 as a potential prognostic biomarker for HCC.
2024 Volume 29, Issue 5
Abstract: Hepatocellular carcinoma (HCC) is a common malignancy with a poor prognosis, and its heterogeneity affects the response to clinical treatments. Glycolysis is highly associated with HCC therapy and prognosis. The present study aimed to identify a novel ... ...
Abstract | Hepatocellular carcinoma (HCC) is a common malignancy with a poor prognosis, and its heterogeneity affects the response to clinical treatments. Glycolysis is highly associated with HCC therapy and prognosis. The present study aimed to identify a novel biomarker for HCC by exploring the heterogeneity of glycolysis in HCC. The intersection of both marker genes of glycolysis‑related cell clusters from single‑cell RNA sequencing analysis and mRNA data of liver HCC from The Cancer Genome Atlas were used to construct a prognostic model through Cox proportional hazard regression and the least absolute shrinkage and selection operator Cox regression. Data from the International Cancer Genome Consortium were used to validate the results of the analysis. Immune status analysis was then conducted. A significant gene in the prognostic model was identified as a potential biomarker and was verified through |
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MeSH term(s) | Humans ; Carcinoma, Hepatocellular/diagnosis ; Carcinoma, Hepatocellular/genetics ; Glycolysis/genetics ; Liver Neoplasms/diagnosis ; Liver Neoplasms/genetics ; Prognosis ; RNA, Messenger ; Single-Cell Gene Expression Analysis ; Kruppel-Like Transcription Factors/genetics ; Kruppel-Like Transcription Factors/metabolism ; Biomarkers |
Chemical Substances | RNA, Messenger ; ZNF41 protein, human ; Kruppel-Like Transcription Factors ; Biomarkers |
Language | English |
Publishing date | 2024-03-22 |
Publishing country | Greece |
Document type | Journal Article |
ZDB-ID | 2469505-1 |
ISSN | 1791-3004 ; 1791-2997 |
ISSN (online) | 1791-3004 |
ISSN | 1791-2997 |
DOI | 10.3892/mmr.2024.13203 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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