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Published on: September 30, 2021
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Comprehensive characterization of β-alanine metabolism-related genes in HCC identified a novel prognostic signature
1Department of General Surgery, Xinhua Hospital of Dalian University, Dalian, Liaoning, China.
Aging
|April 18, 2024
Summary
This study reveals the critical role of β-alanine metabolism-related genes (βAMRGs) in hepatocellular carcinoma (HCC). Higher βAMRG scores correlate with better prognosis and distinct immune microenvironments in liver cancer patients.
Area of Science:
- Oncology
- Metabolic pathways
- Cancer genomics
Background:
- Hepatocellular carcinoma (HCC) is a leading cause of cancer death globally.
- Metabolic reprogramming is key to HCC progression.
- The role of β-alanine metabolism-related genes (βAMRGs) in HCC is largely unknown.
Purpose of the Study:
- To comprehensively evaluate the function of βAMRGs in HCC.
- To explore the pan-cancer landscape of βAMRGs.
- To classify HCC patients based on βAMRG expression and analyze their prognosis and immune microenvironments.
Main Methods:
- Integrated analysis of pan-cancer gene expression, mutation, and methylation data.
- Single-cell RNA sequencing (scRNA-seq) to assess β-alanine metabolism in hepatocytes.
- Patient stratification into subtypes based on βAMRG scores.
- Development and validation of a prognostic panel and nomogram using βAMRGs.
Main Results:
- Hepatocytes show high β-alanine metabolism activity, which is further activated during hepatocarcinogenesis.
- Three HCC subtypes were identified, with the highest βAMRG score group exhibiting the best prognosis.
- Significant variations in immune microenvironment, metabolism, and cell death were observed among subtypes.
- EHHADH was identified as a protective gene in HCC, downregulated in tumors and correlated with prognosis.
Conclusions:
- β-alanine metabolism plays a significant, previously unrecognized role in HCC.
- βAMRGs offer potential as diagnostic and therapeutic targets for liver cancer.
- The study provides novel insights into HCC pathophysiology and patient stratification.
Keywords:
bulk RNA sequencinghepatocellular carcinomaprognosis modelsingle-cell RNA sequencingβ-alanine metabolism
