Identification of Biomarkers Related to CD8+ T Cell Infiltration With Gene Co-expression Network in Lung Squamous Cell Carcinoma

Min Tang; Yukun Li; Xianyu Luo; Jiao Xiao; Juan Wang; Xin Zeng; Qihao Hu; Xiaoyan Chen; Si-Jie Tan; Jun Hu

doi:10.3389/fcell.2021.606106

Identification of Biomarkers Related to CD8⁺ T Cell Infiltration With Gene Co-expression Network in Lung Squamous Cell Carcinoma

Front Cell Dev Biol. 2021 Mar 18:9:606106. doi: 10.3389/fcell.2021.606106. eCollection 2021.

Authors

Min Tang¹, Yukun Li^{2

3}, Xianyu Luo⁴, Jiao Xiao⁵, Juan Wang³, Xin Zeng³, Qihao Hu¹, Xiaoyan Chen¹, Si-Jie Tan³, Jun Hu¹

Affiliations

¹ Department of Cardiothoracic Surgery, The Second Affiliated Hospital, University of South China, Hengyang, China.
² The Second Affiliated Hospital, University of South China, Hengyang, China.
³ Department of Histology and Embryology, Clinical Anatomy and Reproductive Medicine Application Institute, University of South China, Hengyang, China.
⁴ Medical College, Hunan Polytechnic of Environment and Biology, Hengyang, China.
⁵ Department of Endocrinology, The Affiliated Nanhua Hospital, University of South China, Hengyang, China.

Abstract

Lung squamous cell carcinoma (LSCC) is one of the most common types of lung cancer in adults worldwide. With the development of modern medicine, cancer treatment that harnesses the power of the immune system might be particularly effective for treating LSCC. In this research, LSCC expression data, which quantify the cellular composition of immune cells, were analyzed by weighted gene coexpression network analysis (WGCNA) and a deconvolution algorithm based on the Gene Expression Omnibus (GEO) database, and the results indicated a close relationship between LSCC and CD8⁺ T cells. Six hub genes (SYT3, METTL8, HSPB3, GFM1, ERLIN2, and CLCN2) were verified by gene-gene network and protein-protein interaction (PPI) network analyses. We found that the six hub genes were increased in cancer tissues and were closely correlated with cancer development and progression. After immune correlation analysis, METTL8 was selected as a prognostic biomarker. Finally, we found that the METTL8 levels were increased in multiple lung cancer cell lines and LSCC tissues. METTL8 inhibition could clearly induce G1 cell cycle arrest and suppress proliferation. Therefore, METTL8, which is related to CD8⁺ T cell infiltration, might be identified as a potential biomarker and gene therapy target in LSCC.

Keywords: CD8+ T cell; METTL8; bioinformatics; biomarkers; lung squamous cell carcinoma; network.