Lung cancer is a prevalent malignancy, and fatalities of the disease exceed 400,000 cases worldwide. Lung squamous cell carcinoma (LUSC) has been recognized as the most common pathological form of lung cancer. The comprehensive understanding of molecular features related to LUSC progression has great significance in LUSC prognosis assessment and clinical management. In this study, we aim to identify a panel of signature genes closely associated with LUSC, which can provide novel insights into the progression of LUSC. Gene expression profiles were retrieved from public resources including gene expression omnibus (GEO) and the cancer genome atlas (TCGA) database. Differentially expressed genes (DEGs) between LUSC specimens and normal lung tissues were identified by bioinformatics analyses. A total of 66 DEGs were identified based on two cohorts of data. CytoHubba plugin of Cytoscape software was utilized for the further analyses of the top 10 candidate hub genes including OGN, ABI3BP, MAMDC2, FGF7, FAM107A, SPARCL1, DCN, COL14A1, and MFAP4 and CHRDL1, which showed significant downregulation in LUSC. Two LUSC cell lines were used to validate the functions of CHRDL1 and FAM107A through overexpression experiment. Together, our data revealed novel candidate tumor-suppressor genes in LUSC, suggesting previously unappreciated mechanisms in the progression of LUSC.
基金:
Department of Science and Technology of Yunnan Province, Provincial Basic Research Program (Kunkun-Medical Joint Special Project) [202101AY070001-134]; Yunnan Provincial Department of Science and Technology, Yunnan Provincial Gerontology Research Center [202102AA310069]; Yunnan Provincial Department of Science and Technology-Kunming Medical University Basic Research Joint Special Key Project [202201AY070001-136]
第一作者机构:[1]Kunming Med Univ, Affiliated Hosp 3, Yunnan Tumor Hosp, Dept Thorac Surg 2, Kunming 650118, Peoples R China
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推荐引用方式(GB/T 7714):
Li Heng,Lei Youming,Li Gaofeng,et al.Identification of tumor-suppressor genes in lung squamous cell carcinoma through integrated bioinformatics analyses[J].ONCOLOGY RESEARCH.2024,32(1):187-197.doi:10.32604/or.2023.030656.
APA:
Li, Heng,Lei, Youming,Li, Gaofeng&Huang, Yunchao.(2024).Identification of tumor-suppressor genes in lung squamous cell carcinoma through integrated bioinformatics analyses.ONCOLOGY RESEARCH,32,(1)
MLA:
Li, Heng,et al."Identification of tumor-suppressor genes in lung squamous cell carcinoma through integrated bioinformatics analyses".ONCOLOGY RESEARCH 32..1(2024):187-197