School of Pharmacy, Minzu University of China, Beijing, P.R. China.
Key Laboratory of Ethnomedicine (Minzu University of China), Ministry of Education, Beijing, P.R. China.
Aging (Albany NY). 2022 Aug 14;14(15):6227-6254. doi: 10.18632/aging.204214.
Chromobox () proteins are important Polycomb family proteins in the development of gastric cancer. Nonetheless, the relationship between and gastric cancer microenvironment remains unclear.
Multiple databases were used for the analysis of expression and clinical value in gastric cancer patients. A Cox regression analysis was used to evaluate the prognostic importance of . Thereafter, regression analysis of LASSO Cox was used to construct the prognostic model. Spearman's correlation between risk score and immune infiltration was analyzed using the McP-counter algorithm. A predicted nomogram was developed to predict the overall survival of gastric cancer patients after 1, 2, and 3 years.
In contrast with normal tissues, mRNA and protein expression levels of were significantly high in gastric cancer tissues, whereas those of were low. significantly correlated with immune subtypes and molecular subtypes. A prognostic gene model based on five genes (, , , and ) predicted the overall survival of gastric cancer patients. A significant correlation was noted between the risk score of the CBXs-related prognostic gene model and immune-cell infiltration. Low risk patients could achieve a better response to immune checkpoint inhibitors. A predictive nomogram constructed using the above five genes revealed that overall survival rates over 1, 2, and 3 years could be reasonably predicted. Therefore, the roles of were associated with chromatin modifications and histone methylation, etc. Conclusion: In summary, we identified a prognostic model comprising five genes (, , , and ) for gastric cancer patients through bioinformatics analysis.
Chromobox()蛋白是胃癌发生过程中重要的多梳家族蛋白。然而，与胃癌微环境的关系尚不清楚。
利用多个数据库分析 Chromobox()在胃癌患者中的表达及临床价值。采用 Cox 回归分析评估其预后意义。然后，采用 LASSO Cox 回归分析构建预后模型。采用 McP-counter 算法分析风险评分与免疫浸润的相关性。通过绘制列线图预测胃癌患者 1、2、3 年的总生存率。
与正常组织相比，胃癌组织中 mRNA 和蛋白表达水平显著升高，而 表达水平较低。与免疫亚型和分子亚型显著相关。基于五个 Chromobox()基因（、、、和）构建的预后基因模型预测了胃癌患者的总生存率。CBXs 相关预后基因模型的风险评分与免疫细胞浸润之间存在显著相关性。低风险患者对免疫检查点抑制剂的反应更好。使用上述五个 Chromobox()基因构建的预测列线图表明，可以合理预测 1、2 和 3 年的总生存率。因此，的作用与染色质修饰和组蛋白甲基化等有关。结论：综上所述，我们通过生物信息学分析鉴定了一个由五个基因（、、、和）组成的预测胃癌患者预后的模型。
