CBXs-related prognostic gene signature correlates with immune microenvironment in gastric cancer.
CBXs-related prognostic gene signature correlates with immune microenvironment in gastric cancer.
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胃癌中CBXs相关预后基因标记与免疫微环境相关
DOI：
10.18632/aging.204214
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发表时间：
2022-08-14
期刊：
影响因子：
5.2
通讯作者：
Pang, Zong Ran
中科院分区：
文献类型：
--
作者：
Zhang, Yin Jiang;Zhao, Lin Yi;He, Xu;Yao, Rong Fei;Lu, Fan;Lu, Bi Nan;Pang, Zong Ran
背景：染色体盒蛋白（Chromobox，CBX）是多梳蛋白家族的重要成员，在胃癌的发生发展中起重要作用.尽管如此，CBX与胃癌微环境之间的关系仍不清楚。方法：应用多个数据库，分析胃癌患者中CBXs的表达及其临床意义。采用考克斯回归分析评价CBX的预后重要性。之后，采用LASSO考克斯回归分析构建预后模型。使用McP-counter算法分析风险评分和免疫浸润之间的斯皮尔曼相关性。一个预测诺模图被用来预测胃癌患者1年、2年和3年后的总生存率。结果如下：与正常组织相比，胃癌组织中CBX 2/3的mRNA和蛋白表达水平明显升高，而CBX 6/7的mRNA和蛋白表达水平较低。CBX与免疫亚型和分子亚型显著相关。基于五个CBX基因（CBX 1，CBX 2，CBX 3，CBX 7和CBX 8）的预后基因模型预测胃癌患者的总生存期。CBX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。低风险患者可以对免疫检查点抑制剂产生更好的反应。使用上述五个CBX基因构建的预测列线图显示，可以合理预测1年、2年和3年的总生存率。因此，CBXs的作用与染色质修饰和组蛋白甲基化等。结论：总之，我们确定了一个预测CBXs模型，包括5个基因（CBX 1，CBX 2，CBX 3，CBX 7，CBX 8）胃癌患者通过生物信息学分析。
Background: Chromobox (CBX) proteins are important Polycomb family proteins in the development of gastric cancer. Nonetheless, the relationship between CBXs and gastric cancer microenvironment remains unclear. Methods: Multiple databases were used for the analysis of CBXs expression and clinical value in gastric cancer patients. A Cox regression analysis was used to evaluate the prognostic importance of CBXs. 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. Results: In contrast with normal tissues, mRNA and protein expression levels of CBX2/3 were significantly high in gastric cancer tissues, whereas those of CBX6/7 were low. CBXs significantly correlated with immune subtypes and molecular subtypes. A prognostic gene model based on five CBX genes (CBX1, CBX2, CBX3, CBX7, and CBX8) 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 CBX genes revealed that overall survival rates over 1, 2, and 3 years could be reasonably predicted. Therefore, the roles of CBXs were associated with chromatin modifications and histone methylation, etc. Conclusion: In summary, we identified a prognostic CBXs model comprising five genes (CBX1, CBX2, CBX3, CBX7, and CBX8) for gastric cancer patients through bioinformatics analysis.
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影响因子：
14.9
作者：
Kuleshov MV;Jones MR;Rouillard AD;Fernandez NF;Duan Q;Wang Z;Koplev S;Jenkins SL;Jagodnik KM;Lachmann A;McDermott MG;Monteiro CD;Gundersen GW;Ma'ayan A
通讯作者：
Ma'ayan A
影响因子：
28.5
作者：
Ni SJ;Zhao LQ;Wang XF;Wu ZH;Hua RX;Wan CH;Zhang JY;Zhang XW;Huang MZ;Gan L;Sun HL;Dimri GP;Guo WJ
通讯作者：
Guo WJ
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影响因子：
3.9
作者：
Li, Jian;Li, Yang;Xu, Jin
通讯作者：
Xu, Jin
影响因子：
2.1
作者：
Lin, Kang;Zhu, Jinfeng;Zhu, Zhengming
通讯作者：
Zhu, Zhengming
影响因子：
82.9
作者：
Cristescu, Razvan;Lee, Jeeyun;Aggarwal, Amit
通讯作者：
Aggarwal, Amit