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Identification of potential diagnostic and therapeutic target genes for lung squamous cell carcinoma.


ABSTRACT: The purpose of this study was to identify potential molecular markers of lung squamous cell carcinoma (LUSC). Three datasets containing LUSC mRNA sequencing data were downloaded from the Gene Expression Omnibus, The Cancer Genome Atlas and the Gene Expression Profiling Interactive Analysis databases. These datasets were used to identify significantly differentially expressed genes (DEGs) in LUSC. A protein-protein interaction network of the DEGs was constructed followed by Gene Ontology, Kyoto Encyclopedia of Genes and Genomes and overall survival analyses of the DEGs. A total of 37 DEGs between LUSC and normal tissues were identified, including 26 downregulated genes and 11 upregulated genes. Biological Process enrichment analysis revealed that the DEGs were mainly enriched in 'cell adhesion', 'cell-matrix adhesion', 'anatomical structure morphogenesis', 'ECM-receptor interaction' and 'focal adhesion'. Overall survival analysis demonstrated that transcription factor 21, ?-2-macroglobulin, acyl-CoA synthetase long chain family member 5, integrin subunit ?8, meiotic nuclear divisions 1 and secretoglobin family 1A member 1 were significantly associated with the occurrence and development of lung cancer, and these genes were selected as hub genes. The results obtained in the present study may aid the elucidation of the molecular mechanisms involved in the development of LUSC and may provide potential targets for LUSC treatment.

SUBMITTER: Zhang N 

PROVIDER: S-EPMC6539486 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Identification of potential diagnostic and therapeutic target genes for lung squamous cell carcinoma.

Zhang Nana N   Wang Hong H   Xie Qiqi Q   Cao Hua H   Wu Fanqi F   Di Wu Dan Bei DB   Wan Yixin Y  

Oncology letters 20190502 1


The purpose of this study was to identify potential molecular markers of lung squamous cell carcinoma (LUSC). Three datasets containing LUSC mRNA sequencing data were downloaded from the Gene Expression Omnibus, The Cancer Genome Atlas and the Gene Expression Profiling Interactive Analysis databases. These datasets were used to identify significantly differentially expressed genes (DEGs) in LUSC. A protein-protein interaction network of the DEGs was constructed followed by Gene Ontology, Kyoto E  ...[more]

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