Zhang Xiuzhi, Yang Hongmei, Zhang Jinzhong, Gao Fenglan, Dai Liping
Department of Pathology, Henan Medical College, Zhengzhou, China.
Institute of Cancer Research, Henan Medical College, Zhengzhou, China.
Front Genet. 2020 Mar 20;11:273. doi: 10.3389/fgene.2020.00273. eCollection 2020.
To explore the potential functions and clinical significances of peroxisomes during lung cancer development and progression, we investigated the expressional profiles of peroxisome pathway genes and their correlations with clinical features in non-small cell lung cancer (NSCLC). The RNA-seq data of NSCLC including lung squamous carcinoma (LUSC) and lung adenocarcinoma (LUAD) patients with their clinical information were downloaded from The Cancer Genome Atlas (TCGA). Gene expression comparisons between tumor and normal samples were performed with edgeR package in R software and the results of the 83 peroxisome pathway genes were extracted. Through Venn diagram analysis, 38 common differentially expressed peroxisome pathway genes (C-DEPGs) in NSCLC were identified. Principal components analysis (PCA) was performed and the 38 C-DEPGs could discriminate NSCLC tumors from the non-tumor controls well. Through Kaplan-Meier survival and Cox regression analyses, 11 of the C-DEPGs were shown to have prognostic effects on NSCLC overall survival (OS) and were considered as key C-DEPGs (K-DEPGs). Through Oncomine, Human Protein Atlas (HPA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC), three K-DEPGs (HSD17B4, ACAA1, and PXMP4) were confirmed to be down-regulated in NSCLC at both mRNA and protein level. Their dy-regulation mechanisms were revealed through their correlations with their copy number variations and methylation status. Their potential functions in NSCLC were explored through their NSCLC-specific co-expression network analysis, their correlations with immune infiltrations, immunomodulator gene expressions, MKI67 expression and their associations with anti-cancer drug sensitivity. Our findings suggested that HSD17B4, ACAA1, and PXMP4 might be new markers for NSCLC diagnosis and prognosis and might provide new clues for NSCLC treatment.
为了探究过氧化物酶体在肺癌发生发展过程中的潜在功能及临床意义,我们研究了非小细胞肺癌(NSCLC)中过氧化物酶体途径基因的表达谱及其与临床特征的相关性。从癌症基因组图谱(TCGA)下载了包括肺鳞癌(LUSC)和肺腺癌(LUAD)患者及其临床信息的NSCLC的RNA测序数据。使用R软件中的edgeR软件包对肿瘤样本和正常样本进行基因表达比较,并提取83个过氧化物酶体途径基因的结果。通过维恩图分析,在NSCLC中鉴定出38个常见的差异表达过氧化物酶体途径基因(C-DEPGs)。进行了主成分分析(PCA),这38个C-DEPGs能够很好地将NSCLC肿瘤与非肿瘤对照区分开来。通过Kaplan-Meier生存分析和Cox回归分析,发现其中11个C-DEPGs对NSCLC总生存期(OS)具有预后影响,被视为关键C-DEPGs(K-DEPGs)。通过Oncomine、人类蛋白质图谱(HPA)和临床蛋白质组肿瘤分析联盟(CPTAC),证实三个K-DEPGs(HSD17B4、ACAA1和PXMP4)在NSCLC的mRNA和蛋白质水平均下调。通过它们与拷贝数变异和甲基化状态的相关性揭示了它们的双调控机制。通过NSCLC特异性共表达网络分析、它们与免疫浸润、免疫调节基因表达、MKI67表达的相关性以及它们与抗癌药物敏感性的关联,探索了它们在NSCLC中的潜在功能。我们的研究结果表明,HSD17B4、ACAA1和PXMP4可能是NSCLC诊断和预后的新标志物,并可能为NSCLC治疗提供新线索。