Huang Ping, Gu Yinfang, Guo Longhua, Zou Xiaofang, Yi Lilan, Wu Guowu
Med Princ Pract. 2023 Sep 14:1. doi: 10.1159/000533891.
OBJECTIVE: Several genes have been validated as molecular targets for gene therapy in lung cancer. We screened target genes that affect survival of patients with lung cancer. METHODS: Data on gene expression in normal lung tissues/lung adenocarcinoma (LUAD) samples were acquired from Genotype-Tissue Expression (GTEx)/The Cancer Genome Atlas (TCGA) databases and merged to expand the sample size, followed by differential analysis of the merged expression data and acquisition of differentially expressed genes. Survival and simple Cox analyses were used to screen for genes affecting LUAD survival. Protein-protein interaction/multivariable Cox analyses were utilized, and a risk model was established. Candidate genes expression levels in cancer/paracancerous tissues of lung cancer patients, and BEAS-2B/A549/HCC95 cells were measured by RT-qPCR/Western blot. Survival analysis of candidate genes was conducted in LUAD samples collected from TCGA. RESULTS: Among 947 genes differentially expressed in LUAD, 151 were correlated with patient survival, and 116 might act as risk factors for LUAD. The 7 identified candidate genes (TOP2A, TK1, KIF4A, ANLN, KIF2C, ASF1B, CCNB1) were high-risk genes playing possible roles in LUAD. These genes were differentially expressed in lung cancer and were associated with TNM stages (III - IV)/differentiation grade/lymph node metastasis/distant metastasis, which affected lung cancer patient survival. CONCLUSION: P2A, TK1, KIF4A, ANLN, KIF2C, ASF1B and CCNB1 were highly-expressed in LUAD/lung squamous cell carcinoma (LUSC) and correlated with LUAD patient survival. This study contributes to better understanding of the prognostic regulation mechanism in LUAD and the screening of target genes for clinical treatment.
目的:已有多个基因被确认为肺癌基因治疗的分子靶点。我们筛选了影响肺癌患者生存的靶基因。 方法:从基因型-组织表达(GTEx)/癌症基因组图谱(TCGA)数据库获取正常肺组织/肺腺癌(LUAD)样本中的基因表达数据并合并以扩大样本量,随后对合并后的表达数据进行差异分析并获取差异表达基因。采用生存分析和简单Cox分析筛选影响LUAD生存的基因。利用蛋白质-蛋白质相互作用/多变量Cox分析,建立风险模型。通过RT-qPCR/蛋白质免疫印迹法检测肺癌患者癌组织/癌旁组织以及BEAS-2B/A549/HCC95细胞中候选基因的表达水平。对从TCGA收集的LUAD样本进行候选基因的生存分析。 结果:在LUAD中差异表达的947个基因中,151个与患者生存相关,116个可能是LUAD的危险因素。鉴定出的7个候选基因(TOP2A、TK1、KIF4A、ANLN、KIF2C、ASF1B、CCNB1)是在LUAD中可能发挥作用的高危基因。这些基因在肺癌中差异表达,并与TNM分期(III-IV期)/分化程度/淋巴结转移/远处转移相关,影响肺癌患者的生存。 结论:P2A、TK1、KIF4A、ANLN、KIF2C、ASF1B和CCNB1在LUAD/肺鳞状细胞癌(LUSC)中高表达,与LUAD患者生存相关。本研究有助于更好地理解LUAD的预后调控机制及临床治疗靶基因的筛选。
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