Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6

Objectives: Oral cancer is the ninth most common cancer worldwide and a leading cause of cancer-related death. Oral squamous cell carcinoma (OSCC) accounts for 90% of all oral cancers. Autophagy is a conserved essential catabolic process related to OSCC. The aim of this study was to elucidate diagno...

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Main Authors: Churen Zhang, Qiaoling Cai, Jianguo Ke
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:International Dental Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0020653922001125
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author Churen Zhang
Qiaoling Cai
Jianguo Ke
author_facet Churen Zhang
Qiaoling Cai
Jianguo Ke
author_sort Churen Zhang
collection DOAJ
description Objectives: Oral cancer is the ninth most common cancer worldwide and a leading cause of cancer-related death. Oral squamous cell carcinoma (OSCC) accounts for 90% of all oral cancers. Autophagy is a conserved essential catabolic process related to OSCC. The aim of this study was to elucidate diagnostic and prognostic autophagy-related biomarkers in OSCC. Methods: The OSCC gene expression data set was obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between the OSCC samples and adjacent healthy tissues were identified by R software. The Human Autophagy Database was screened, which revealed 222 autophagy-related genes. The autophagy-related DEGs were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were applied. Protein–protein interaction network analysis was performed in the STRING database. cytoHubba in the Cytoscape software was applied to determine the top 10 hub genes. The data set of patients with OSCC from The Cancer Genome Atlas (TCGA) was used to evaluate the prognostic value of the 10 hub genes. The association between prognosis-related hub genes and immune infiltrates was explored. Results: Twenty-seven autophagy-related DEGs were identified. The top 10 hub genes were CCL2, CDKN2A, CTSB, CTSD, CXCR4, ITGA6, MAP1LC3A, MAPK3, PARP1, and RAB11A. ITGA6 was identified as the most efficient biomarker. Receiver operating characteristic curve analysis indicated that ITGA6 had the highest diagnostic accuracy for OSCC (area under the curve = 0.925). ITGA6 expression was significantly related to immune infiltrates. Conclusions: The autophagy-related gene ITGA6 might be an efficient diagnostic and prognostic biomarker in OSCC.
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spelling doaj.art-4db80ad834474cd5b8604cbaee66da9c2023-03-10T04:33:58ZengElsevierInternational Dental Journal0020-65392023-04-01732178185Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6Churen Zhang0Qiaoling Cai1Jianguo Ke2Corresponding author. Department of Stomatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Avenue, Siming District, Xiamen, 361003, China.; Department of Stomatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, ChinaDepartment of Stomatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, ChinaJianguo ke is the co-corresponding author.; Department of Stomatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, ChinaObjectives: Oral cancer is the ninth most common cancer worldwide and a leading cause of cancer-related death. Oral squamous cell carcinoma (OSCC) accounts for 90% of all oral cancers. Autophagy is a conserved essential catabolic process related to OSCC. The aim of this study was to elucidate diagnostic and prognostic autophagy-related biomarkers in OSCC. Methods: The OSCC gene expression data set was obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between the OSCC samples and adjacent healthy tissues were identified by R software. The Human Autophagy Database was screened, which revealed 222 autophagy-related genes. The autophagy-related DEGs were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were applied. Protein–protein interaction network analysis was performed in the STRING database. cytoHubba in the Cytoscape software was applied to determine the top 10 hub genes. The data set of patients with OSCC from The Cancer Genome Atlas (TCGA) was used to evaluate the prognostic value of the 10 hub genes. The association between prognosis-related hub genes and immune infiltrates was explored. Results: Twenty-seven autophagy-related DEGs were identified. The top 10 hub genes were CCL2, CDKN2A, CTSB, CTSD, CXCR4, ITGA6, MAP1LC3A, MAPK3, PARP1, and RAB11A. ITGA6 was identified as the most efficient biomarker. Receiver operating characteristic curve analysis indicated that ITGA6 had the highest diagnostic accuracy for OSCC (area under the curve = 0.925). ITGA6 expression was significantly related to immune infiltrates. Conclusions: The autophagy-related gene ITGA6 might be an efficient diagnostic and prognostic biomarker in OSCC.http://www.sciencedirect.com/science/article/pii/S0020653922001125ITGA6Oral squamous cell carcinomaAutophagy
spellingShingle Churen Zhang
Qiaoling Cai
Jianguo Ke
Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6
International Dental Journal
ITGA6
Oral squamous cell carcinoma
Autophagy
title Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6
title_full Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6
title_fullStr Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6
title_full_unstemmed Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6
title_short Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6
title_sort poor prognosis of oral squamous cell carcinoma correlates with itga6
topic ITGA6
Oral squamous cell carcinoma
Autophagy
url http://www.sciencedirect.com/science/article/pii/S0020653922001125
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AT jianguoke poorprognosisoforalsquamouscellcarcinomacorrelateswithitga6