Identification of methionine metabolism related prognostic model and tumor suppressive functions of BHMT in hepatocellular carcinoma
- Wenli Liu 1, Kaiheng Hu 2, Yaqing Fu 2, Tianmin Zhou 1, Qingmei Zhong 1, Wu Wang 1, Yang Gui 1, Ping Zhang 1, Di Yao 1, Xiaohong Yang 3, Weifeng Zhu 3, Zhuoqi Liu 4, Daya Luo 5, Yingqun Xiao 6
- Wenli Liu 1, Kaiheng Hu 2, Yaqing Fu 2
- 1Department of Pathology, Infectious Diseases Hospital of Nanchang University, Nanchang, 330001, Jiangxi, China.
- 2Queen Mary School, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.
- 3Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.
- 4Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China. liuzhuoqi@ncu.edu.cn.
- 5Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China. luodaya@ncu.edu.cn.
- 6Department of Pathology, Infectious Diseases Hospital of Nanchang University, Nanchang, 330001, Jiangxi, China. xiaoyq2008@126.com.
- 0Department of Pathology, Infectious Diseases Hospital of Nanchang University, Nanchang, 330001, Jiangxi, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new prognostic model for hepatocellular carcinoma (HCC) based on methionine metabolism. It reveals that Betaine-homocysteine S-methyltransferase (BHMT) acts as a tumor suppressor, potentially improving immunotherapy outcomes.
Area Of Science
- Oncology
- Metabolic pathways
- Cancer biomarkers
Background
- Hepatocellular carcinoma (HCC) shows resistance to current treatments and limitations in immune checkpoint blockade therapy.
- Methionine metabolism, particularly the Hoffman effect, is crucial for HCC development.
- Betaine-homocysteine S-methyltransferase (BHMT) is involved in methionine metabolism and linked to cancer prognosis.
Purpose Of The Study
- To develop a prognostic model for HCC related to methionine metabolism.
- To investigate the role of BHMT in HCC progression and prognosis.
- To identify novel biomarkers for HCC treatment and immunotherapy.
Main Methods
- Bioinformatics analysis of multiple HCC datasets.
- Construction of a methionine metabolism-related prognostic model.
- Investigation of BHMT expression and its correlation with clinical outcomes and immune cell infiltration (CIBERSORT).
Main Results
- A significant decrease in BHMT expression was observed in HCC, correlating with poor clinical outcomes.
- BHMT expression was linked to increased M1 macrophage infiltration.
- The study established a novel prognostic model for HCC based on methionine metabolism.
Conclusions
- BHMT exhibits tumor-suppressive functions in HCC.
- BHMT may serve as a prognostic biomarker for anti-PD-L1 immunotherapy in HCC.
- This study provides a new methionine metabolism-related prognostic model and insights into BHMT's role in HCC.
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