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通过检测差异表达和生存基因鉴定与肺鳞状细胞癌相关的关键枢纽基因。

Identifying the key hub genes linked with lung squamous cell carcinoma by examining the differentially expressed and survival genes.

机构信息

Department of Biotechnology, St. Xavier's College, Mumbai, Maharashtra, 400001, India.

出版信息

Mol Genet Genomics. 2024 Aug 3;299(1):76. doi: 10.1007/s00438-024-02169-8.

Abstract

Lung Squamous Cell Carcinoma is characterised by significant alterations in RNA expression patterns, and a lack of early symptoms and diagnosis results in poor survival rates. Our study aimed to identify the hub genes involved in LUSC by differential expression analysis and their influence on overall survival rates in patients. Thus, identifying genes with the potential to serve as biomarkers and therapeutic targets. RNA sequence data for LUSC was obtained from TCGA and analysed using R Studio. Survival analysis was performed on DE genes. PPI network and hub gene analysis was performed on survival-relevant genes. Enrichment analysis was conducted on the PPI network to elucidate the functional roles of hub genes. Our analysis identified 2774 DEGs in LUSC patient datasets. Survival analysis revealed 511 genes with a significant impact on patient survival. Among these, 20 hub genes-FN1, ACTB, HGF, PDGFRB, PTEN, SNAI1, TGFBR1, ESR1, SERPINE1, THBS1, PDGFRA, VWF, BMP2, LEP, VTN, PXN, ABL1, ITGA3 and ANXA5-were found to have lower expression levels associated with better patient survival, whereas high expression of SOX2 correlated with longer survival. Enrichment analysis indicated that these hub genes are involved in critical cellular and cancer-related pathways. Our study has identified six key hub genes that are differentially expressed and exhibit significant influence over LUSC patient survival outcomes. Further, in vitro and in vivo studies must be conducted on the key genes for their utilisation as therapeutic targets and biomarkers in LUSC.

摘要

肺鳞状细胞癌的特征是 RNA 表达模式发生显著改变,且早期症状和诊断缺乏导致生存率较差。我们的研究旨在通过差异表达分析鉴定与肺鳞状细胞癌相关的关键基因及其对患者总生存率的影响。从而,确定具有作为生物标志物和治疗靶点潜力的基因。从 TCGA 获得肺鳞状细胞癌的 RNA 序列数据,并使用 R Studio 进行分析。对 DE 基因进行生存分析。对与生存相关的基因进行 PPI 网络和关键基因分析。对 PPI 网络进行富集分析,阐明关键基因的功能作用。我们的分析在肺鳞状细胞癌患者数据集确定了 2774 个 DEG。生存分析显示,有 511 个基因对患者的生存有显著影响。其中,FN1、ACTB、HGF、PDGFRB、PTEN、SNAI1、TGFBR1、ESR1、SERPINE1、THBS1、PDGFRA、VWF、BMP2、LEP、VTN、PXN、ABL1、ITGA3 和 ANXA5 这 20 个关键基因的表达水平较低与患者生存较好相关,而 SOX2 的高表达与更长的生存时间相关。富集分析表明,这些关键基因参与了重要的细胞和癌症相关途径。我们的研究已经确定了六个关键的关键基因,它们的差异表达对肺鳞状细胞癌患者的生存结果有显著影响。此外,必须在关键基因上进行体外和体内研究,以将其用作肺鳞状细胞癌的治疗靶点和生物标志物。

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