一个预后风险评分模型与Helicobacter pylori相关的胃腺癌感染
Jing Peng1, Qi Yan2, Wennan Pei1
1Department of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing, China.
International journal of genomics
|January 31, 2025
概括
杆菌感染与胃癌有关. 使用五个基因 (CTLA4,CPVL,EMB,CXCR4,FAM241A) 的新风险评分模型有助于预测胃腺癌预后并确定治疗目标.
科学领域:
- 在瘤学瘤学.
- 传染性疾病 传染性疾病
- 生物信息学是一种生物信息学.
背景情况:
- 杆菌 (HP) 感染是胃腺癌 (STAD) 的主要危险因素.
- 了解将HP感染与STAD发展联系起来的分子机制对于改善患者的治疗结果至关重要.
研究的目的:
- 在STAD中识别与HP感染相关的关键基因.
- 根据HP感染相关基因开发一个可靠的风险评分模型来预测STAD预后.
- 探索风险得分与瘤免疫微环境 (TIME) 之间的相关性.
主要方法:
- 单样样本基因组丰富分析 (ssGSEA) 用于评估HP感染得分.
- 权重基因联合表达网络分析 (WGCNA) 以确定与HP相关的基因模块.
- 不同基因表达分析 (limma) 和预后基因查.
- 构建和验证一个风险评分模型.
- 与 TIME 的相关性分析和单细胞地图集的构建.
- 在体外验证使用STAD细胞系 (伤口愈合和跨井检测).
主要成果:
- 在STAD瘤组织中,HP感染得分明显高于正常组织.
- WGCNA确定了与HP感染密切相关的免疫相关基因模块 (紫色和皇家蓝色).
- 确定了五种预后基因 (CTLA4,CPVL,EMB,CXCR4,FAM241A),并用于构建一个经过验证的风险评分模型.
- 风险得分与STAD中的时间有很强的相关性.
- 在特定的瘤细胞中,CXCR4的表达很高,CPVL沉默抑制了STAD细胞迁移和入侵.
结论:
- 一个基于HP感染相关基因 (CTLA4,CPVL,EMB,CXCR4,FAM241A) 的新风险评分模型成功地建立了STAD.
- 该模型显示出预后预测的潜力,并可以指导HP感染的STAD患者选择治疗点.
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