Single-cell RNA sequencing and spatial transcriptomic analysis reveal a distinct population of G6PD+ cells with aberrant bile acid metabolism in hepatocellular carcinoma
Xing Jiang, Haiyan Quan, Ting Yin, Hailun Yao, Yajun Li, Bin Peng, Xinye Yuan, Weiguang Zeng, Honghui Chen, Rong Li

TL;DR
This study identifies a unique population of G6PD+ cells in liver cancer that have abnormal bile acid metabolism, which contributes to tumor progression and poor patient outcomes.
Contribution
The study introduces a novel bile acid metabolism scoring system and identifies G6PD+ cells as a prognostic biomarker for hepatocellular carcinoma.
Findings
G6PD+ tumor cells with high bile acid metabolism scores are linked to poor prognosis in hepatocellular carcinoma.
These cells are mainly found at the tumor boundary and are associated with an immunosuppressive tumor microenvironment.
Modulating G6PD expression affects HCC cell proliferation, migration, and invasion in vitro.
Abstract
Metabolic reprogramming is a hallmark of hepatocellular carcinoma (HCC). Among various metabolic pathways, bile acids act not only as crucial metabolites but also as key signaling molecules that regulate diverse physiological and pathological processes in the liver. However, the biological functions and clinical implications of bile acid metabolism in HCC progression remain largely unclear. Single-cell transcriptomic data from 67 patients with HCC were integrated to construct a bile acid metabolism scoring system. Pseudotime trajectory analysis was employed to characterize the differentiation patterns of cells exhibiting abnormal bile acid metabolism. Spatial transcriptomics was used to explore their spatial distribution features. Furthermore, machine learning algorithms were applied to analyze transcriptomic data from HCC cohorts to develop a prognostic prediction model. The findings…
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Taxonomy
TopicsFerroptosis and cancer prognosis · Single-cell and spatial transcriptomics · Cancer Immunotherapy and Biomarkers
