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

IF 2.3 3区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Molecular Genetics and Genomics Pub Date : 2024-08-03 DOI:10.1007/s00438-024-02169-8

Anushka Pravin Chawhan, Norine Dsouza

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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.

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通过研究差异表达基因和存活基因，确定与肺鳞癌相关的关键枢纽基因。

肺鳞状细胞癌（Lung Squamous Cell Carcinoma）的特征是 RNA 表达模式的显著改变，缺乏早期症状和诊断导致生存率低下。我们的研究旨在通过差异表达分析确定肺鳞状细胞癌所涉及的枢纽基因及其对患者总体生存率的影响。从而确定有可能作为生物标志物和治疗靶点的基因。LUSC 的 RNA 序列数据来自 TCGA，并使用 R Studio 进行分析。对 DE 基因进行了生存分析。对生存相关基因进行PPI网络和中心基因分析。对PPI网络进行了富集分析，以阐明枢纽基因的功能作用。我们的分析在LUSC患者数据集中发现了2774个DEGs。生存分析显示，511个基因对患者生存有显著影响。其中，20个中心基因--FN1、ACTB、HGF、PDGFRB、PTEN、SNAI1、TGFBR1、ESR1、SERPINE1、THBS1、PDGFRA、VWF、BMP2、LEP、VTN、PXN、ABL1、ITGA3和ANXA5--的表达水平较低，患者生存率较高，而SOX2的高表达与生存期延长相关。富集分析表明，这些枢纽基因参与了关键的细胞和癌症相关通路。我们的研究发现了六个关键的枢纽基因，这些基因的表达存在差异，并对 LUSC 患者的生存结果有显著影响。此外，还必须对这些关键基因进行体外和体内研究，以便将它们用作 LUSC 的治疗靶点和生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Molecular Genetics and Genomics 生物-生化与分子生物学

CiteScore

5.10

自引率

3.20%

发文量

134

审稿时长

1 months

期刊介绍： Molecular Genetics and Genomics (MGG) publishes peer-reviewed articles covering all areas of genetics and genomics. Any approach to the study of genes and genomes is considered, be it experimental, theoretical or synthetic. MGG publishes research on all organisms that is of broad interest to those working in the fields of genetics, genomics, biology, medicine and biotechnology. The journal investigates a broad range of topics, including these from recent issues: mechanisms for extending longevity in a variety of organisms; screening of yeast metal homeostasis genes involved in mitochondrial functions; molecular mapping of cultivar-specific avirulence genes in the rice blast fungus and more.