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一种新的焦亡相关基因标志物定义,用于预测肺腺癌的预后。

A New Definition of Pyroptosis-Related Gene Markers to Predict the Prognosis of Lung Adenocarcinoma.

机构信息

Key Laboratory for Experimental Teratology of Ministry of Education, Department of Histology & Embryology, School of Basic Medical Sciences, Shandong University, Jinan, Shandong 250012, China.

Department of Surgical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250000, China.

出版信息

Biomed Res Int. 2021 Nov 26;2021:8175003. doi: 10.1155/2021/8175003. eCollection 2021.

Abstract

Pyroptosis, the prototype of programmed cell death, is crucial to the development of multicellular organisms. Lung cancer is one of the most lethal cancers in the world. Because lung cancer progresses quickly, it is mostly found at an advanced stage, resulting in a very poor prognosis of lung cancer. At present, there is no treatment with good prognosis, but pyroptosis-based tumor therapy may be able to solve this problem. In the past few decades, it has been found that pyroptosis can affect the invasion, proliferation, and metastasis of tumor and apoptosis is an important system to resist cancer. Our study is aimed at constructing a prognostic model within pyroptosis-related genes. We developed a prognostic model by using TCGA and GEO database, and differentially expressed genes (DEGs) were identified. Five genes (NLRP1, NOD1, NLRC4, CASP9, and PLCG1) were identified to construct a prognostic model. According to the median risk score calculated by our formula, we divided patients into the high- and low-risk groups. Pyroptosis-related genes play important roles in tumor immunity and can be used to predict the prognosis of lung adenocarcinoma (LUAD).

摘要

细胞焦亡,程序性细胞死亡的原型,对多细胞生物的发展至关重要。肺癌是世界上最致命的癌症之一。由于肺癌进展迅速,大多数在晚期才被发现,导致肺癌预后极差。目前,尚无预后良好的治疗方法,但基于细胞焦亡的肿瘤治疗可能能够解决这个问题。在过去的几十年中,人们发现细胞焦亡可以影响肿瘤的侵袭、增殖和转移,而细胞凋亡是一种重要的抗癌系统。我们的研究旨在构建与细胞焦亡相关的基因的预后模型。我们使用 TCGA 和 GEO 数据库开发了一个预后模型,并鉴定了差异表达基因(DEGs)。通过我们的公式确定了五个基因(NLRP1、NOD1、NLRC4、CASP9 和 PLCG1)来构建预后模型。根据我们公式计算的中位数风险评分,将患者分为高风险和低风险组。细胞焦亡相关基因在肿瘤免疫中发挥重要作用,可用于预测肺腺癌(LUAD)的预后。

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