Bioinformatics Analyses Indicate That Cathepsin G
Purpose: Plenty of studies showed that the immune system was associated with cancer initiation and progression. This study aimed to explore the prognostic biomarkers from immune-related genes (IRGs) in oral squamous cell carcinoma (OSCC). Materials and Methods: RNA-seq data were downloaded from The...
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Veröffentlicht in: | OncoTargets and therapy 2021-04, Vol.14, p.1275 |
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creator | Huang, Guang-zhao Wu, Qing-qing Zheng, Ze-nan Shao, Tingru Li, Fei Lu, Xinyan Ye, Heng-yu Chen, Gao-xiang Song, Yuxing Zeng, Wei-sen Ai, Yi-long Lv, Xiao-zhi |
description | Purpose: Plenty of studies showed that the immune system was associated with cancer initiation and progression. This study aimed to explore the prognostic biomarkers from immune-related genes (IRGs) in oral squamous cell carcinoma (OSCC). Materials and Methods: RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) and IRGs and transcription factors (TFs) were extracted. Then, the co- expression network between IRGs and TFs was constructed using the "WGCNA" package in R software. Furthermore, a gene expression signature according to IRGs was constructed to predict OSCC prognosis and its accuracy was validated by survival analysis. Subsequently, correlation analyses between risk-score and immune cells level and clinical parameters were performed. Finally, immune-related biomarkers were selected and further investigated using gain-of-function assays in vitro. Results: A total of 32 normal cases and 317 OSCC cases were selected in our study. Differentially-expressed analysis indicated that there were 381 differentially- expressed IRGs and 62 TFs in OSCC. Among them, 25 TFs and 21 IRGs were enrolled in the coexpression network. Furthermore, we found that gene expression signature on the basis of 10 IRGs could predict the prognosis accurately and a high-risk score based on gene expression signature meant a high T classification, terminal clinical stage, and low immune cells level in OSCC. Finally, cathepsin G (CTSG) was identified as a potential immune-related biomarker and therapeutic target in OSCC. Conclusion: In conclusion, IRGs were directly involved in the development and progression of OSCC. Furthermore, CTSG was identified as a potential independent biomarker and might be an immunotherapeutic target in OSCC treatment. Keywords: oral squamous cell carcinoma, immune, biomarker, bioinformatics, CTSG |
doi_str_mv | 10.2147/OTT.S293148 |
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fullrecord | <record><control><sourceid>gale</sourceid><recordid>TN_cdi_gale_infotracmisc_A669417923</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A669417923</galeid><sourcerecordid>A669417923</sourcerecordid><originalsourceid>FETCH-LOGICAL-g983-271c273aea9d1133f9abb76ba9e9352d27bee70f229f2cf50e47c08211be301d3</originalsourceid><addsrcrecordid>eNptjsFKxDAQhoMouK6efIGC4K01k3Sb5liLrgsLe7D3ZZpOtpE2lU08-Pau6KGCzOEffr5vGMZugWcCcvWwa5rsVWgJeXnGFgCqTAst-flsv2RXIbxxXhSlyBcMHt3kvJ2OI0ZnQlJ5HD4DhWTjO2cwUtL0GJMaY0_vwflkfc0uLA6Bbn5zyZrnp6Z-Sbe79aautulBlzIVCoxQEgl1ByCl1di2qmhRk5Yr0QnVEiluhdBWGLvilCvDSwHQkuTQySW7-zl7wIH23y_GI5rRBbOvikLnoLSQJyr7hzpNR6MzkyfrTv0f4X4m9IRD7MM0fEQ3-TAHvwDkf2DH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Bioinformatics Analyses Indicate That Cathepsin G</title><source>Taylor & Francis Open Access</source><source>DOVE Medical Press Journals</source><source>PubMed Central Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Huang, Guang-zhao ; Wu, Qing-qing ; Zheng, Ze-nan ; Shao, Tingru ; Li, Fei ; Lu, Xinyan ; Ye, Heng-yu ; Chen, Gao-xiang ; Song, Yuxing ; Zeng, Wei-sen ; Ai, Yi-long ; Lv, Xiao-zhi</creator><creatorcontrib>Huang, Guang-zhao ; Wu, Qing-qing ; Zheng, Ze-nan ; Shao, Tingru ; Li, Fei ; Lu, Xinyan ; Ye, Heng-yu ; Chen, Gao-xiang ; Song, Yuxing ; Zeng, Wei-sen ; Ai, Yi-long ; Lv, Xiao-zhi</creatorcontrib><description>Purpose: Plenty of studies showed that the immune system was associated with cancer initiation and progression. This study aimed to explore the prognostic biomarkers from immune-related genes (IRGs) in oral squamous cell carcinoma (OSCC). Materials and Methods: RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) and IRGs and transcription factors (TFs) were extracted. Then, the co- expression network between IRGs and TFs was constructed using the "WGCNA" package in R software. Furthermore, a gene expression signature according to IRGs was constructed to predict OSCC prognosis and its accuracy was validated by survival analysis. Subsequently, correlation analyses between risk-score and immune cells level and clinical parameters were performed. Finally, immune-related biomarkers were selected and further investigated using gain-of-function assays in vitro. Results: A total of 32 normal cases and 317 OSCC cases were selected in our study. Differentially-expressed analysis indicated that there were 381 differentially- expressed IRGs and 62 TFs in OSCC. Among them, 25 TFs and 21 IRGs were enrolled in the coexpression network. Furthermore, we found that gene expression signature on the basis of 10 IRGs could predict the prognosis accurately and a high-risk score based on gene expression signature meant a high T classification, terminal clinical stage, and low immune cells level in OSCC. Finally, cathepsin G (CTSG) was identified as a potential immune-related biomarker and therapeutic target in OSCC. Conclusion: In conclusion, IRGs were directly involved in the development and progression of OSCC. Furthermore, CTSG was identified as a potential independent biomarker and might be an immunotherapeutic target in OSCC treatment. Keywords: oral squamous cell carcinoma, immune, biomarker, bioinformatics, CTSG</description><identifier>ISSN: 1178-6930</identifier><identifier>EISSN: 1178-6930</identifier><identifier>DOI: 10.2147/OTT.S293148</identifier><language>eng</language><publisher>Dove Medical Press Limited</publisher><subject>Analysis ; Cancer ; Cathepsins ; Computational biology ; Development and progression ; DNA binding proteins ; Genes ; Genetic aspects ; Genetic transcription ; Genomes ; Genomics ; Health aspects ; Immunotherapy ; Prognosis ; RNA ; Squamous cell carcinoma</subject><ispartof>OncoTargets and therapy, 2021-04, Vol.14, p.1275</ispartof><rights>COPYRIGHT 2021 Dove Medical Press Limited</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Huang, Guang-zhao</creatorcontrib><creatorcontrib>Wu, Qing-qing</creatorcontrib><creatorcontrib>Zheng, Ze-nan</creatorcontrib><creatorcontrib>Shao, Tingru</creatorcontrib><creatorcontrib>Li, Fei</creatorcontrib><creatorcontrib>Lu, Xinyan</creatorcontrib><creatorcontrib>Ye, Heng-yu</creatorcontrib><creatorcontrib>Chen, Gao-xiang</creatorcontrib><creatorcontrib>Song, Yuxing</creatorcontrib><creatorcontrib>Zeng, Wei-sen</creatorcontrib><creatorcontrib>Ai, Yi-long</creatorcontrib><creatorcontrib>Lv, Xiao-zhi</creatorcontrib><title>Bioinformatics Analyses Indicate That Cathepsin G</title><title>OncoTargets and therapy</title><description>Purpose: Plenty of studies showed that the immune system was associated with cancer initiation and progression. This study aimed to explore the prognostic biomarkers from immune-related genes (IRGs) in oral squamous cell carcinoma (OSCC). Materials and Methods: RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) and IRGs and transcription factors (TFs) were extracted. Then, the co- expression network between IRGs and TFs was constructed using the "WGCNA" package in R software. Furthermore, a gene expression signature according to IRGs was constructed to predict OSCC prognosis and its accuracy was validated by survival analysis. Subsequently, correlation analyses between risk-score and immune cells level and clinical parameters were performed. Finally, immune-related biomarkers were selected and further investigated using gain-of-function assays in vitro. Results: A total of 32 normal cases and 317 OSCC cases were selected in our study. Differentially-expressed analysis indicated that there were 381 differentially- expressed IRGs and 62 TFs in OSCC. Among them, 25 TFs and 21 IRGs were enrolled in the coexpression network. Furthermore, we found that gene expression signature on the basis of 10 IRGs could predict the prognosis accurately and a high-risk score based on gene expression signature meant a high T classification, terminal clinical stage, and low immune cells level in OSCC. Finally, cathepsin G (CTSG) was identified as a potential immune-related biomarker and therapeutic target in OSCC. Conclusion: In conclusion, IRGs were directly involved in the development and progression of OSCC. Furthermore, CTSG was identified as a potential independent biomarker and might be an immunotherapeutic target in OSCC treatment. Keywords: oral squamous cell carcinoma, immune, biomarker, bioinformatics, CTSG</description><subject>Analysis</subject><subject>Cancer</subject><subject>Cathepsins</subject><subject>Computational biology</subject><subject>Development and progression</subject><subject>DNA binding proteins</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic transcription</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Health aspects</subject><subject>Immunotherapy</subject><subject>Prognosis</subject><subject>RNA</subject><subject>Squamous cell carcinoma</subject><issn>1178-6930</issn><issn>1178-6930</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNptjsFKxDAQhoMouK6efIGC4K01k3Sb5liLrgsLe7D3ZZpOtpE2lU08-Pau6KGCzOEffr5vGMZugWcCcvWwa5rsVWgJeXnGFgCqTAst-flsv2RXIbxxXhSlyBcMHt3kvJ2OI0ZnQlJ5HD4DhWTjO2cwUtL0GJMaY0_vwflkfc0uLA6Bbn5zyZrnp6Z-Sbe79aautulBlzIVCoxQEgl1ByCl1di2qmhRk5Yr0QnVEiluhdBWGLvilCvDSwHQkuTQySW7-zl7wIH23y_GI5rRBbOvikLnoLSQJyr7hzpNR6MzkyfrTv0f4X4m9IRD7MM0fEQ3-TAHvwDkf2DH</recordid><startdate>20210430</startdate><enddate>20210430</enddate><creator>Huang, Guang-zhao</creator><creator>Wu, Qing-qing</creator><creator>Zheng, Ze-nan</creator><creator>Shao, Tingru</creator><creator>Li, Fei</creator><creator>Lu, Xinyan</creator><creator>Ye, Heng-yu</creator><creator>Chen, Gao-xiang</creator><creator>Song, Yuxing</creator><creator>Zeng, Wei-sen</creator><creator>Ai, Yi-long</creator><creator>Lv, Xiao-zhi</creator><general>Dove Medical Press Limited</general><scope/></search><sort><creationdate>20210430</creationdate><title>Bioinformatics Analyses Indicate That Cathepsin G</title><author>Huang, Guang-zhao ; Wu, Qing-qing ; Zheng, Ze-nan ; Shao, Tingru ; Li, Fei ; Lu, Xinyan ; Ye, Heng-yu ; Chen, Gao-xiang ; Song, Yuxing ; Zeng, Wei-sen ; Ai, Yi-long ; Lv, Xiao-zhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g983-271c273aea9d1133f9abb76ba9e9352d27bee70f229f2cf50e47c08211be301d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Cancer</topic><topic>Cathepsins</topic><topic>Computational biology</topic><topic>Development and progression</topic><topic>DNA binding proteins</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic transcription</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Health aspects</topic><topic>Immunotherapy</topic><topic>Prognosis</topic><topic>RNA</topic><topic>Squamous cell carcinoma</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Guang-zhao</creatorcontrib><creatorcontrib>Wu, Qing-qing</creatorcontrib><creatorcontrib>Zheng, Ze-nan</creatorcontrib><creatorcontrib>Shao, Tingru</creatorcontrib><creatorcontrib>Li, Fei</creatorcontrib><creatorcontrib>Lu, Xinyan</creatorcontrib><creatorcontrib>Ye, Heng-yu</creatorcontrib><creatorcontrib>Chen, Gao-xiang</creatorcontrib><creatorcontrib>Song, Yuxing</creatorcontrib><creatorcontrib>Zeng, Wei-sen</creatorcontrib><creatorcontrib>Ai, Yi-long</creatorcontrib><creatorcontrib>Lv, Xiao-zhi</creatorcontrib><jtitle>OncoTargets and therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Guang-zhao</au><au>Wu, Qing-qing</au><au>Zheng, Ze-nan</au><au>Shao, Tingru</au><au>Li, Fei</au><au>Lu, Xinyan</au><au>Ye, Heng-yu</au><au>Chen, Gao-xiang</au><au>Song, Yuxing</au><au>Zeng, Wei-sen</au><au>Ai, Yi-long</au><au>Lv, Xiao-zhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bioinformatics Analyses Indicate That Cathepsin G</atitle><jtitle>OncoTargets and therapy</jtitle><date>2021-04-30</date><risdate>2021</risdate><volume>14</volume><spage>1275</spage><pages>1275-</pages><issn>1178-6930</issn><eissn>1178-6930</eissn><abstract>Purpose: Plenty of studies showed that the immune system was associated with cancer initiation and progression. This study aimed to explore the prognostic biomarkers from immune-related genes (IRGs) in oral squamous cell carcinoma (OSCC). Materials and Methods: RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) and IRGs and transcription factors (TFs) were extracted. Then, the co- expression network between IRGs and TFs was constructed using the "WGCNA" package in R software. Furthermore, a gene expression signature according to IRGs was constructed to predict OSCC prognosis and its accuracy was validated by survival analysis. Subsequently, correlation analyses between risk-score and immune cells level and clinical parameters were performed. Finally, immune-related biomarkers were selected and further investigated using gain-of-function assays in vitro. Results: A total of 32 normal cases and 317 OSCC cases were selected in our study. Differentially-expressed analysis indicated that there were 381 differentially- expressed IRGs and 62 TFs in OSCC. Among them, 25 TFs and 21 IRGs were enrolled in the coexpression network. Furthermore, we found that gene expression signature on the basis of 10 IRGs could predict the prognosis accurately and a high-risk score based on gene expression signature meant a high T classification, terminal clinical stage, and low immune cells level in OSCC. Finally, cathepsin G (CTSG) was identified as a potential immune-related biomarker and therapeutic target in OSCC. Conclusion: In conclusion, IRGs were directly involved in the development and progression of OSCC. Furthermore, CTSG was identified as a potential independent biomarker and might be an immunotherapeutic target in OSCC treatment. Keywords: oral squamous cell carcinoma, immune, biomarker, bioinformatics, CTSG</abstract><pub>Dove Medical Press Limited</pub><doi>10.2147/OTT.S293148</doi></addata></record> |
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subjects | Analysis Cancer Cathepsins Computational biology Development and progression DNA binding proteins Genes Genetic aspects Genetic transcription Genomes Genomics Health aspects Immunotherapy Prognosis RNA Squamous cell carcinoma |
title | Bioinformatics Analyses Indicate That Cathepsin G |
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