A novel glutamine metabolism-related risk model for prognostic prediction of liver hepatocellular carcinoma
- Xia He 1, Rui Wang 2, Yonghua Zhu 3,4
- 1Operating Theatre, Yixing Branch of Wuxi Medical Center of Nanjing Medical University, Yixing People's Hospital, Yixing, Jiangsu 214200, P.R. China.
- 2Department of Gastroenterology, Xuyi People's Hospital, Xuyi, Jiangsu 211700, P.R. China.
- 3Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210000, P.R. China.
- 4Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210000, P.R. China.
- 5Department of Hepatopancreatobiliary Surgery, Yixing Branch of Wuxi Medical Center of Nanjing Medical University, Yixing People's Hospital, Yixing, Jiangsu 214200, P.R. China.
- 0Operating Theatre, Yixing Branch of Wuxi Medical Center of Nanjing Medical University, Yixing People's Hospital, Yixing, Jiangsu 214200, P.R. China.
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View abstract on PubMed
Summary
This summary is machine-generated.Glutamine metabolism significantly impacts liver hepatocellular carcinoma (LIHC) development and progression. A novel prognostic model identifies high-risk LIHC patients with poorer outcomes, highlighting GOT2 as a potential therapeutic target.
Area Of Science
- Oncology
- Cancer Metabolism
- Hepatocellular Carcinoma Research
Background
- The role of glutamine metabolism in liver hepatocellular carcinoma (LIHC) remains incompletely understood.
- Investigating glutamine metabolism is crucial for advancing LIHC research and treatment strategies.
Purpose Of The Study
- To elucidate the role of glutamine metabolism in LIHC development and progression.
- To identify molecular subtypes of LIHC based on glutamine metabolism.
- To develop a prognostic model for LIHC patients.
Main Methods
- Utilized The Cancer Genome Atlas and International Cancer Genome Consortium data for LIHC gene expression and clinical profiles.
- Applied consensus clustering, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set variation analysis for functional enrichment.
- Developed a prognostic model using LASSO and Cox regression, validated with proteomic and qPCR data.
- Assessed glutamate-oxaloacetate transaminase 2 (GOT2) function through in vitro assays.
Main Results
- Identified two distinct LIHC molecular clusters with unique clinical and immunological features related to glutamine metabolism.
- Developed a prognostic model dividing patients into high- and low-risk groups, with high-risk associated with higher mutational load and poorer prognosis.
- Found significantly lower GOT2 protein and mRNA expression in LIHC tissues; GOT2 knockdown enhanced LIHC malignancy.
- The glutamine metabolism signature accurately predicted LIHC prognosis and immune characteristics.
Conclusions
- Glutamine metabolism plays a critical role in LIHC tumorigenesis and progression, correlating with poor prognosis.
- The developed glutamine metabolism-related signature demonstrates accuracy in predicting LIHC patient prognosis and immune status.
- Downregulated GOT2 expression in LIHC indicates a poor prognosis, suggesting GOT2 as a potential therapeutic target.
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