基于铜死亡相关基因表达水平的胃癌临床预后及免疫治疗疗效预测模型
Prediction model of clinical prognosis and immunotherapy efficacy of gastric cancer based on level of expression of cuproptosis-related genes.
作者信息
Zhao Bo, Wu Wei, Liang Liang, Cai Xiaoyong, Chen Yongjun, Tang Weizhong
机构信息
Department of General Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, PR China.
Departments of Gastrointestinal Surgery, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi Zhuang Autonomous Region 530021, PR China.
出版信息
Heliyon. 2023 Aug 9;9(8):e19035. doi: 10.1016/j.heliyon.2023.e19035. eCollection 2023 Aug.
BACKGROUND
Gastric cancer is one of the most common malignancies in the world and ranks fourth among cancer-related causes of death. Gastric adenocarcinoma is the most common pathological type of gastric cancer; usually, this tumor is associated with distant metastasis upon first diagnosis and has a poor prognosis. Cuproptosis is a novel mechanism of cell death induced by copper, and is closely related to tumor progression, prognosis and immune response. However, the role of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) of gastric cancer has yet to be elucidated.
METHODS
Gastric adenocarcinoma data were downloaded from the Cancer Genome Atlas (TCGA) database. Through bioinformatics analysis, a risk scoring model was constructed from cuproptosis gene-related lncRNA. Then, we investigated the relationship between prognosis and the TIME of gastric cancer according to clinical characteristics and risk score.
RESULTS
Validation of the model showed that the overall survival (OS) of the high-risk group was significantly lower than that of the low-risk group (P < 0.001) and that the risk score was an independent predictor of prognosis (P < 0.001). The new model was significantly correlated with the prognosis and TIME of patients with gastric cancer, including immune cell infiltration, tumor mutation burden (TMB) score, targeted drug sensitivity, and immune checkpoint gene expression. In addition, a prognostic nomogram was established based on the risk score (AC008915.2, AC011005.4, AC023511.1, AC139792.1, AL355312.2, LINC01094 and LINC02476).
CONCLUSION
Our analysis revealed that the prognostic model of cuproptosis-related genes could effectively predict the prognosis of patients with gastric cancer and comprehensively establish the relationship between cuproptosis genes and tumor immunity. This may provide a new strategy for the precise treatment of gastric cancer.
背景
胃癌是世界上最常见的恶性肿瘤之一，在癌症相关死因中排名第四。胃腺癌是胃癌最常见的病理类型；通常，这种肿瘤在首次诊断时就伴有远处转移，预后较差。铜死亡是一种由铜诱导的新型细胞死亡机制，与肿瘤进展、预后和免疫反应密切相关。然而，铜死亡相关基因（CRGs）在胃癌肿瘤微环境（TME）中的作用尚未阐明。
方法
从癌症基因组图谱（TCGA）数据库下载胃腺癌数据。通过生物信息学分析，从铜死亡基因相关的长链非编码RNA构建风险评分模型。然后，根据临床特征和风险评分，研究胃癌预后与肿瘤微环境的关系。
结果
模型验证表明，高危组的总生存期（OS）显著低于低危组（P < 0.001），且风险评分是预后的独立预测因子（P < 0.001）。新模型与胃癌患者的预后和肿瘤微环境显著相关，包括免疫细胞浸润、肿瘤突变负荷（TMB）评分、靶向药物敏感性和免疫检查点基因表达。此外，基于风险评分（AC008915.2、AC011005.4、AC023511.1、AC139792.1、AL355312.2、LINC01094和LINC02476）建立了预后列线图。
结论
我们的分析表明，铜死亡相关基因的预后模型可以有效预测胃癌患者的预后，并全面建立铜死亡基因与肿瘤免疫之间的关系。这可能为胃癌的精准治疗提供新策略。
Zotero 插件