Identification of Novel Prognostic Markers Associated With Laryngeal Squamous Cell Carcinoma Using Comprehensive Analysis.

Chao Huang,Hao Huang,Yichao Chen,Li Huang,Yi Dong,Anquan Peng,Jun He

doi:10.3389/fonc.2021.779153

Abstract

BackgroundLaryngeal squamous cell carcinoma (LSCC) is a leading malignant cancer of the head and neck. Patients with LSCC, in which the cancer has infiltrated and metastasized, have a poor prognosis. Therefore, there is an urgent need to identify more potential targets for drugs and biomarkers for early diagnosis.MethodsRNA sequence data from LSCC and patients’ clinical traits were obtained from the Gene Expression Omnibus (GEO) (GSE142083) and The Cancer Genome Atlas (TCGA) database. Differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were performed to identify hub genes. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, prognostic value analysis, receiver operating characteristic (ROC) curve analysis, gene mutation analysis, tumor-infiltrating immune cell abundance profile estimation, gene set variation analysis (GSVA), and gene set enrichment analysis (GSEA) were performed. Single-gene RNA sequencing data were obtained from the GSE150321 dataset. Cell proliferation and viability were confirmed by the CCK-8 assay and real-time PCR.ResultsA total of 701 DEGs, including 329 upregulated and 372 downregulated genes, were screened in the GSE142083 dataset. Using WGCNA, three modules were identified to be closely related to LSCC. After intersecting the DEGs and performing univariate and multivariate Cox analyses, a novel prognostic model based on three genes (SLC35C1, HOXB7, and TEDC2) for LSCC was established. Interfering TEDC2 expression inhibited tumor cell proliferation and migration.ConclusionsOur results show that SLC35C1, HOXB7, and TEDC2 have the potential to become new therapeutic targets and prognostic biomarkers for LSCC.

Highlights

Laryngeal squamous cell carcinoma (LSCC) is a common type of head and neck squamous cell carcinoma (HNSCC), accounting for approximately 20% of all cancer patients and 2.4% of new malignancies worldwide each year [1,2,3]
Using Weighted gene co-expression network analysis (WGCNA), three modules were identified to be closely related to LSCC
After intersecting the Differentially expressed gene (DEG) and performing univariate and multivariate Cox analyses, a novel prognostic model based on three genes (SLC35C1, Homeobox B7 (HOXB7), and TEDC2) for LSCC was established

Summary

Introduction

Laryngeal squamous cell carcinoma (LSCC) is a common type of head and neck squamous cell carcinoma (HNSCC), accounting for approximately 20% of all cancer patients and 2.4% of new malignancies worldwide each year [1,2,3]. With the development of gene chip technologies, methods of cancer diagnosis have become increasingly more efficient and considerably simpler, allowing researchers to improve cancer diagnoses in a relatively short period of time, aiding the identification of improved treatment measures [7,8,9]. Owing to these advantages, research into specific molecular markers of cancer has become a topic of increased interest in recent years [10,11,12,13]. There is an urgent need to identify more potential targets for drugs and biomarkers for early diagnosis

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Results

Conclusion