Identification of Novel Biomarkers Related to Lung Squamous Cell Carcinoma Using Integrated Bioinformatics Analysis

Author:

Wang Haiyan1,Huang Lizhi2,Chen Li3,Ji Jing4,Zheng Yuanyuan5ORCID,Wang Zhen6ORCID

Affiliation:

1. Department of Ultrasonography Center, Tai’an City Central Hospital, Tai’an, China

2. Department of Thoracic Surgery, Shenzhen Bao’an People’s Hospital (Group), Shenzhen, China

3. Department of Vascular, Tai’an City Central Hospital, Tai’an, China

4. Department of Geriatrics, Tai’an City Central Hospital, Tai’an, China

5. Department of Radiotherapy, Tai’an City Central Hospital, Tai’an, China

6. Department of Thoracic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China

Abstract

Background. Lung squamous cell carcinoma (LUSC) is one of the most common types of lung carcinoma and has specific clinicopathologic characteristics. In this study, we screened novel molecular biomarkers relevant to the prognosis of LUSC to explore new diagnostic and treatment approaches for this disease. Methods. We downloaded GSE73402 from the Gene Expression Omnibus (GEO) database. GSE73402 contains 62 samples, which could be classified as four subtypes according to their pathology and stages. Via weighted gene coexpression network analysis (WGCNA), the main module was identified and was further analyzed using differentially expressed genes (DEGs) analysis. Then, by protein-protein interaction (PPI) network and Gene Expression Profiling Interactive Analysis (GEPIA), hub genes were screened for potential biomarkers of LUSC. Results. Via WGCNA, the yellow module containing 349 genes was identified, and it is strongly related to the subtype of CIS (carcinoma in situ). DEGs analysis detected 180 genes that expressed differentially between the subtype of CIS and subtype of early-stage carcinoma (Stage I and Stage II). A PPI network of DEGs was constructed, and the top 20 genes with the highest correlations were selected for GEPIA database to explore their effect on LUSC survival prognosis. Finally, ITGA5, TUBB3, SCNN1B, and SERPINE1 were screened as hub genes in LUSC. Conclusions. ITGA5, TUBB3, SCNN1B, and SERPINE1 may have great diagnostic and prognostic significance for LUSC and have great potential to be new treatment targets for LUSC.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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