胰腺癌细胞焦亡相关基因风险预测模型的构建
Construction of Risk Prediction Model for Pyroptosis Related Genes in Pancreatic Adenocarcinoma
DOI: 10.12677/ACM.2021.1111784, PDF,   
作者: 黄 舒, 赵景霖, 欧阳红梅*:昆明理工大学附属医院,云南省第一人民医院检验科,云南 昆明;马智慧:杭州师范大学医学院衰老研究所,浙江 杭州
关键词: 胰腺癌细胞焦亡风险预测模型预后Pancreatic Adenocarcinoma Pyroptosis Risk Prediction Model Prognosis
摘要: 目的:胰腺癌(PAAD)是一种高度恶性的肿瘤,缺乏敏感的生物标志物,本文通过分析细胞焦亡相关基因对胰腺癌生存预后的影响,构建有效的风险预测模型,为胰腺癌的早期诊断、治疗和预后提供新的靶点。方法:利用基因组图谱(TCGA)数据库中PAAD和GTEx数据库中的正常胰腺组织的RNA-seq数据,获取细胞焦亡相关基因的表达。利用GSEA软件进行细胞焦亡功能富集分析,利用R3.6.1对焦亡基因进行差异分析、生存分析、相关性分析以及风险预测模型的构建与验证,最后利用独立预后分析筛选出与胰腺癌预后显著相关的细胞焦亡相关基因。结果:得到了细胞焦亡基因大多在胰腺癌中高表达且为预后不良的因素,构建了由IL18、CHMP2B和CHMP3组成的风险预测模型。结论:构建了由IL18、CHMP2B、CHMP3组成的、有效的风险预测模型,为胰腺癌的诊断、治疗和预后的靶点提供了新的方向。
Abstract: Objective: Pancreatic adenocarcinoma (PAAD) is a highly malignant tumor and lacks sensitive biomarkers. In this research, we analyzed the impact of pyroptosis-related genes on the survival and prognosis of pancreatic cancer, and constructed an effective risk prediction model to provide a new target for early diagnosis, treatment and prognosis of pancreatic cancer. Methods: The RNA-seq data of PAAD in TCGA and normal pancreatic tissue in GTEx database were used to obtain pyroptosis-related genes. GSEA was used to analyze the functional enrichment analysis of pyroptosis, and R3.6.1 was used for different expression genes analysis, survival analysis, correlation analysis and risk prediction model construction and verification. Finally, independent prognostic analysis was used to screen the genes associated with the prognosis of pancreatic cancer. Results: Most of the pyroptosis genes are highly expressed in pancreatic carcinoma and are unfavorable prognostic factors. A risk prediction model consisting of IL18, CHMP2B and CHMP3 is constructed. Conclusion: Our research constructs an effective risk prediction model composed of IL18, CHMP2B and CHMP3, and provides a new direction for the diagnosis, treatment and prognosis of pancreatic cancer.
文章引用:黄舒, 马智慧, 赵景霖, 欧阳红梅. 胰腺癌细胞焦亡相关基因风险预测模型的构建[J]. 临床医学进展, 2021, 11(11): 5304-5312. https://doi.org/10.12677/ACM.2021.1111784

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