Terrones Marc, Op de Beeck Ken, Van Camp Guy, Vandeweyer Geert, Mateiu Ligia
Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Center for Oncological Research, University of Antwerp and Antwerp University Hospital, Wilrijk, Belgium.
Front Oncol. 2024 Dec 16;14:1408697. doi: 10.3389/fonc.2024.1408697. eCollection 2024.
The transcriptomic characteristics of + non-small cell lung cancer (NSCLC) represent a crucial aspect of its tumor biology. These features provide valuable insights into key dysregulated pathways, potentially leading to the discovery of novel targetable alterations or biomarkers.
From The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases, all available + (n = 10), + (n = 5) and + (n = 5) NSCLC tumor and + cell line (n = 7) RNA-sequencing files were collected. In addition, 10 healthy lung RNA-seq samples were included. Differential gene expression with DESeq2 (R package) and gene co-expression (WGCNA, R package) analyses were performed. Functional annotation was performed through Gene Set Enrichment Analysis (GSEA) using Webgestalt and RNAseqChef, Over-Representation Analysis (ORA) through Enrichr. iRegulon was used to identify enriched transcription factors that regulate a gene co-expression module.
This study highlights cell adhesion and nucleotide synthesis as crucial signatures in + NSCLC. The upregulation of may serve as a prognostic biomarker, along with , a known mediator of bone metastases. Furthermore, and were identified as relevant transcription factors that could potentially regulate the biological processes in -rearranged NSCLC.
非小细胞肺癌(NSCLC)的转录组特征是其肿瘤生物学的一个关键方面。这些特征为关键失调途径提供了有价值的见解,有可能导致发现新的可靶向改变或生物标志物。
从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中,收集了所有可用的+(n = 10)、+(n = 5)和+(n = 5)NSCLC肿瘤及+细胞系(n = 7)的RNA测序文件。此外,还纳入了10个健康肺组织的RNA测序样本。使用DESeq2(R包)进行差异基因表达分析,并通过加权基因共表达网络分析(WGCNA,R包)进行基因共表达分析。通过使用Webgestalt和RNAseqChef的基因集富集分析(GSEA)进行功能注释,通过Enrichr进行过表达分析(ORA)。使用iRegulon识别调节基因共表达模块的富集转录因子。
与+和+样本相比,+ NSCLC样本在核苷酸合成和细胞黏附KEGG途径中显著富集。此外,在+ NSCLC中显著下调,且程序性死亡配体1(PD-L1)表达较弱。当比较+肿瘤与细胞系转录组时,发现细胞系中+和+上调,同时+、+和+的表达显著降低。在-肿瘤内,在-和-+亚组中过表达。通过逆转录定量聚合酶链反应(RT-qPCR)证实了细胞系中+和+的差异表达。最后,基因共表达分析揭示了一个涉及细胞周期相关基因的基因簇,该基因簇与患者的疾病分期显著相关。此外,我们提出+和+作为关键的-特异性转录因子。
本研究强调细胞黏附和核苷酸合成是+ NSCLC的关键特征。+的上调可能作为一种预后生物标志物,与已知的骨转移介质+一起。此外,+和+被确定为相关转录因子,它们可能潜在地调节-重排NSCLC中的生物学过程。