Wu Liusheng, Chen Xiaofan, Zeng Qi, Lai Zelin, Fan Zhengyang, Ruan Xin, Li Xiaoqiang, Yan Jun
School of Medicine, Tsinghua University, Beijing, 100084, China.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore.
Heliyon. 2024 Mar 28;10(7):e28282. doi: 10.1016/j.heliyon.2024.e28282. eCollection 2024 Apr 15.
Differentially expressed genes (DEGs) in lung adenocarcinoma (LUAD) tumor stem cells were screened, and the biological characteristics of gene were investigated.
The expression and prognosis of in human LUAD were predicted and analyzed through bioinformatics analysis from a human cancer database. Gene expression and clinical data of LUAD tumor and normal lung tissues were obtained from The Cancer Genome Atlas (TCGA) database, and DEGs associated with lung cancer tumor stem cells (CSCs) were screened. Univariate and multivariate Cox regression models were used to screen and establish prognostic risk prediction models. The immune function of the patients was scored according to the model, and the relative immune functions of the high- and low-risk groups were compared to determine the difference in survival prognosis between the two groups. In addition, we calculated the index of stemness based on the transcriptome of the samples using one-class linear regression (OCLR).
Bioinformatics analysis of a clinical cancer database showed that was significantly decreased in human LUAD tissues than in normal lung tissues, and the decrease in NR5A2 gene expression shortened the overall survival and progression-free survival of patients with LUAD.
The gene may regulate LUAD tumor stem cells through selective splicing mutations, thereby affecting the survival and prognosis of patients with lung cancer, and the gene may regulate CSCs through single nucleotide polymorphism.
筛选肺腺癌(LUAD)肿瘤干细胞中的差异表达基因(DEG),并研究该基因的生物学特性。
通过对人类癌症数据库进行生物信息学分析,预测并分析人类LUAD中的表达及预后情况。从癌症基因组图谱(TCGA)数据库获取LUAD肿瘤组织和正常肺组织的基因表达及临床数据,筛选与肺癌肿瘤干细胞(CSC)相关的DEG。使用单因素和多因素Cox回归模型筛选并建立预后风险预测模型。根据该模型对患者的免疫功能进行评分,比较高风险组和低风险组的相对免疫功能,以确定两组之间生存预后的差异。此外,我们使用单类线性回归(OCLR)基于样本的转录组计算干性指数。
对临床癌症数据库的生物信息学分析表明,与正常肺组织相比,人类LUAD组织中的 显著降低,NR5A2基因表达的降低缩短了LUAD患者的总生存期和无进展生存期。
基因可能通过选择性剪接突变调节LUAD肿瘤干细胞,从而影响肺癌患者的生存和预后,并且 基因可能通过单核苷酸多态性调节CSC。