To investigate the impact of hyperglycemia on the prognosis of patients with gastric cancer and identify key molecules associated with high glucose levels in gastric cancer development, RNA sequencing data and clinical features of gastric cancer patients were obtained from The Cancer Genome Atlas (TCGA) database. High glucose-related genes strongly associated with gastric cancer were identified using weighted gene co-expression network and differential analyses. A gastric cancer prognosis signature was constructed based on these genes and patients were categorized into high- and low-risk groups. The immune statuses of the two patient groups were compared. ATP citrate lyase (ACLY), a gene significantly related to the prognosis, was found to be upregulated upon high-glucose stimulation. Immunohistochemistry and molecular analyses confirmed high ACLY expression in gastric cancer tissues and cells. Gene Set Enrichment Analysis (GSEA) revealed the involvement of ACLY in cell cycle and DNA replication processes. Inhibition of ACLY affected the proliferation and migration of gastric cancer cells induced by high glucose levels. These findings suggest that ACLY, as a high glucose-related gene, plays a critical role in gastric cancer progression.
基金:
This work was supported by grants from the Natural
Science Foundation of Hebei Province (No. C2021
206011) and Beijing‐Tianjin‐Hebei Collaborative Innovation
Community Construction Project (22347702D).
第一作者机构:[1]Hebei Med Univ, Dept Immunol, Immunol Dept, Shijiazhuang, Peoples R China
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推荐引用方式(GB/T 7714):
Sun Keran,Ning Jingyuan,Jia Keqi,et al.Role of ACLY in the development of gastric cancer under hyperglycemic conditions[J].QUANTITATIVE BIOLOGY.2024,12(1):100-116.doi:10.1002/qub2.36.
APA:
Sun, Keran,Ning, Jingyuan,Jia, Keqi,Fan, Xiaoqing,Li, Hongru...&Wei, Lin.(2024).Role of ACLY in the development of gastric cancer under hyperglycemic conditions.QUANTITATIVE BIOLOGY,12,(1)
MLA:
Sun, Keran,et al."Role of ACLY in the development of gastric cancer under hyperglycemic conditions".QUANTITATIVE BIOLOGY 12..1(2024):100-116