Investigating the dysregulation of genes associated with glucose and lipid metabolism in gastric cancer and their influence on immunity and prognosis

Gastric cancer (GC) is one of the most prevalent malignant tumors globally, characterized by a high mortality rate. The disruption of glucose and lipid metabolism plays a critical role in the occurrence and progression of GC. By integrating single-cell and bulk RNA sequencing data, we identified 135 marker genes associated with glucose and lipid metabolism in GC. Building on this, we conducted prognosis and immune-related analyses, followed by cluster analysis that depicted various molecular subtypes, elucidating their distinct molecular mechanisms and treatment strategies. This includes examining how genes related to glucose and lipid metabolism influence GC prognosis through immune pathways. Additionally, we established a clinical prognostic model characterized by THRAP3, KLF5, and ABCA1. Notably, the core target gene ABCA1 may serve as a prognostic and immunotherapy biomarker for GC.

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Publication Details

Journal
BioFactors
Published
2024-11-07
DOI
https://doi.org/10.1002/biof.2138
Citations
2
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.57
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article

Investigating the dysregulation of genes associated with glucose and lipid metabolism in gastric cancer and their influence on immunity and prognosis

Zhaolin Zeng, Yan Li
2 citations
BioFactors
Cancer, Lipids, and Metabolism
0.57
article

Investigating the dysregulation of genes associated with glucose and lipid metabolism in gastric cancer and their influence on immunity and prognosis

Zhaolin Zeng, Yan Li
article en
2 citations

Abstract

Gastric cancer (GC) is one of the most prevalent malignant tumors globally, characterized by a high mortality rate. The disruption of glucose and lipid metabolism plays a critical role in the occurrence and progression of GC. By integrating single-cell and bulk RNA sequencing data, we identified 135 marker genes associated with glucose and lipid metabolism in GC. Building on this, we conducted prognosis and immune-related analyses, followed by cluster analysis that depicted various molecular subtypes, elucidating their distinct molecular mechanisms and treatment strategies. This includes examining how genes related to glucose and lipid metabolism influence GC prognosis through immune pathways. Additionally, we established a clinical prognostic model characterized by THRAP3, KLF5, and ABCA1. Notably, the core target gene ABCA1 may serve as a prognostic and immunotherapy biomarker for GC.

BioFactorsVol. 51(1)
Harbin Medical University (CN), Second Affiliated Hospital of Harbin Medical University (CN)
Good health and well-being
Openalex Percentile: Top 30%
Cancer, Lipids, and Metabolism
0.57
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