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Updated: May 25, 2026

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
Published on: September 15, 2023
Polymorphisms of ICAM-1 are associated with gastric cancer risk and prognosis
Meng-Meng Tian1, Yu Sun, Zhong-Wu Li
1Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Beijing 100142, China.
Aim:
To investigate the association between single nucleotide polymorphisms (SNPs) in intercellular adhesion molecule-1 (ICAM-1) and the risk, biological behavior and prognosis of gastric cancer (GC) in Chinese population.
Methods:
The study group consisted of 332 GC patients and 380 healthy controls. Genotyping was performed using polymerase chain reaction and the results were confirmed by sequencing. The association of ICAM-1 K469E polymorphisms and the risk of GC were studied, and the correlation of ICAM-1 K469E polymorphisms with the clinicopathological parameters and prognosis of the patients with complete clinical and follow-up data was analyzed.
Results:
Carriers of AA genotype had a significantly increased risk of GC compared with carriers of AG and GG genotypes [odds ratios: 1.36; 95% confidence interval (CI): 1.01-1.84; P = 0.041]. GC patients with AA genotype were more prone to distant metastasis than those carrying AG and GG genotypes (18.9% vs 7.0%, respectively; P = 0.002). In addition, patients at stage IV had significantly more carriers of AA genotype than those of AG and GG genotype (27.4% vs 16.9%, respectively; P = 0.046). Follow-up study showed that the overall cumulative survival rate was 23.7% in AA genotype group and 42.9% in AG and GG genotypes group. In univariate analysis, AA genotype was correlated with the overall cumulative survival (P = 0.034). But in multivariate analysis, ICAM-1 polymorphism was not an independent prognostic factor for the overall survival (relative risk, 1.145; 95% CI: 0.851-1.540; P = 0.370).
Conclusion:
Polymorphisms of ICAM-1 K469E can be a useful biomarker for identifying individuals with higher risk of GC, predicting disease progression, and guiding individualized treatment.
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