Liqiao Chen, Yi Zeng, Baoqing Ren, Xinyu Wang, Fucheng Zhao, Jitao Du, Rupeng Zhang, Jingyu Deng
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引用次数: 1
Abstract
Background
The role of ALDOC which is an important regulator involved in tumor metabolic reprogramming and immune microenvironment in GC remains unclear. Therefore, we investigated the feasibility of ALDOC as a prognostic marker and therapeutic target.
Methods
We verified the expression of ALDOC in GC and its effect on the prognosis of GC patients by analyzing clinical data. The regulation of ALDOC on the biological behavior of GC cells was confirmed by experiments. The potential mechanism of miRNA regulating GC immune cell infiltration by inhibiting ALDOC was explored by experiments and bioinformatic analysis. We further analyzed the effect of ALDOC on somatic mutations in gastric cancer, and constructed a prognostic model based on ALDOC and related immune molecules.
Results
ALDOC is overexpressed in GC cells and tissues, which promotes malignant biological behavior of GC cells and is an independent risk factor for poor prognosis of GC patients. MiR-19a-5p promotes the expression of ALDOC by down-regulating ETS1, leading to poor prognosis in GC patients. ALDOC is significantly associated with immune infiltration in GC, regulates macrophage differentiation and promotes the progression of GC. ALDOC is significantly correlated with TMB and MSI of gastric cancer, and affects somatic mutation of gastric cancer. The prognostic model has good predictive efficiency.
Conclusions
ALDOC is a potential prognostic marker and therapeutic target with abnormal immune-mediated effects. The prognostic model based on ALDOC provides a reference for prognosis prediction and individualized treatment of GC patients.
期刊介绍:
IJBCB publishes original research articles, invited reviews and in-focus articles in all areas of cell and molecular biology and biomedical research.
Topics of interest include, but are not limited to:
-Mechanistic studies of cells, cell organelles, sub-cellular molecular pathways and metabolism
-Novel insights into disease pathogenesis
-Nanotechnology with implication to biological and medical processes
-Genomics and bioinformatics