Screening of Differentially Expressed Genes Based on the ACRG Molecular Subtypes of Gastric Cancer and the Significance and Mechanism of AGTR1 Gene Expression
机构:[1]Second Department of Thoracic Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China临床科室胸心外科(胸外科 心脏血管外科)河北医科大学第四医院[2]Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang 050011, China[3]Second Department of Radiotherapy, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China河北医科大学第四医院[4]Third Department of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China临床科室外三科河北医科大学第四医院
Background: The Asian Cancer Research Group (ACRG) classification is a molecular classification established based on the tissues of gastric cancer (GC) patients in Asia. Patients with different ACRG subtypes differ significantly with regard to treatment response and prognosis, which indicates that the ACRG molecular classification is more valuable than the traditional pathological classification. However, the specific differentially expressed genes (DEGs) and the value of the ACRG molecular subtypes of GC have not been studied in depth. Methods: Through the analysis of the GEO database, the DEGs in GC tissues of different ACRG molecular subtypes were investigated. The expression and mechanism of the screened angiotensin II receptor type 1 (AGTR1) gene were bioinformatically analyzed and experimentally verified. The role of AGTR1 in GC cells was mainly investigated using CCK-8, wound-healing, transwell invasion assays, qRT-PCR, and Western blotting. Results: The bioinformatics results showed the presence of multiple DEGs in GC tissues with different ACRG molecular subtypes. Certain DEGs in GC tissues of different ACRG molecular subtypes have prognostic significance. AGTR1 levels in tumor tissues were significantly higher than in paired paracancerous tissues. The prognosis of GC patients with high expression of AGTR1 was poor (p < 0.05). The AGTR1 gene in GC samples was associated with the expression of immune pathways and immune checkpoint genes. After modifying AGTR1 expression in cell lines, cells' proliferation, invasion, and migration abilities and the expression of related genes changed. Conclusions: There were significant DEGs in GC tissues with different ACGR molecular types, among which the increased expression of AGTR1 was a molecular feature of MSS/EMT type gastric cancer. Further study found that AGTR1 was closely related to tumor immune infiltration and invasion and may be a new therapeutic target gene for gastric cancer.
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出版当年[2023]版:
大类|3 区医学
小类|3 区医学:内科4 区卫生保健与服务
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出版当年[2023]版:
Q1MEDICINE, GENERAL & INTERNALQ2HEALTH CARE SCIENCES & SERVICES
第一作者机构:[1]Second Department of Thoracic Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China[2]Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang 050011, China
通讯作者:
通讯机构:[2]Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang 050011, China[4]Third Department of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
推荐引用方式(GB/T 7714):
Zhang Haoran,Zhen Shuman,Ding Pingan,et al.Screening of Differentially Expressed Genes Based on the ACRG Molecular Subtypes of Gastric Cancer and the Significance and Mechanism of AGTR1 Gene Expression[J].JOURNAL OF PERSONALIZED MEDICINE.2023,13(3):doi:10.3390/jpm13030560.
APA:
Zhang, Haoran,Zhen, Shuman,Ding, Pingan,Tan, Bibo,Wang, Hongyan...&Zhao, Qun.(2023).Screening of Differentially Expressed Genes Based on the ACRG Molecular Subtypes of Gastric Cancer and the Significance and Mechanism of AGTR1 Gene Expression.JOURNAL OF PERSONALIZED MEDICINE,13,(3)
MLA:
Zhang, Haoran,et al."Screening of Differentially Expressed Genes Based on the ACRG Molecular Subtypes of Gastric Cancer and the Significance and Mechanism of AGTR1 Gene Expression".JOURNAL OF PERSONALIZED MEDICINE 13..3(2023)