Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer

Abstract To screen the key genes in the development of gastric cancer and their influence on prognosis. The GEO database was used to screen gastric cancer-related gene chips as a training set, and the R packages limma tool was used to analyze the differential genes expressed in gastric cancer tissue...

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Autores principales:	Jiasheng Xu, Xinlu Wang, Qiwen Ke, Kaili Liao, Yanhua Wan, Kaihua Zhang, Guanyu Zhang, Xiaozhong Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/563d454a00a3492c9fcc0bfdd493674a
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spelling	oai:doaj.org-article:563d454a00a3492c9fcc0bfdd493674a2021-12-02T16:31:47ZCombined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer10.1038/s41598-021-94291-52045-2322https://doaj.org/article/563d454a00a3492c9fcc0bfdd493674a2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94291-5https://doaj.org/toc/2045-2322Abstract To screen the key genes in the development of gastric cancer and their influence on prognosis. The GEO database was used to screen gastric cancer-related gene chips as a training set, and the R packages limma tool was used to analyze the differential genes expressed in gastric cancer tissues compared to normal tissues, and then the selected genes were verified in the validation set. The String database was used to calculate their Protein–protein interaction (PPI) network, using Cytoscape software's Centiscape and other plug-ins to analyze key genes in the PPI network. The DAVID database was used to enrich and annotate gene functions of differential genes and PPI key module genes, and further explore correlation between expression level and clinical stage and prognosis. Based on clinical data and patient samples, differential expression of key node genes was verified by immunohistochemistry. The 63 characteristic differential genes screened had good discrimination between gastric cancer and normal tissues, and are mainly involved in regulating extracellular matrix receptor interactions and the PI3k-AKT signaling pathway. Key nodes in the PPI network regulate tumor proliferation and metastasis. Analysis of the expression levels of key node genes found that relative to normal tissues, the expression of ITGB1 and COL1A2 was significantly increased in gastric cancer tissues, and patients with late clinical stages of tumors had higher expression of ITGB1 and COL1A2 in tumor tissues, and their survival time was longer (P < 0.05). This study found that ITGB1 and COL1A2 are key genes in the development of gastric cancer and can be used as prognostic markers and potential new targets for gastric cancer.Jiasheng XuXinlu WangQiwen KeKaili LiaoYanhua WanKaihua ZhangGuanyu ZhangXiaozhong WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jiasheng Xu Xinlu Wang Qiwen Ke Kaili Liao Yanhua Wan Kaihua Zhang Guanyu Zhang Xiaozhong Wang Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
description	Abstract To screen the key genes in the development of gastric cancer and their influence on prognosis. The GEO database was used to screen gastric cancer-related gene chips as a training set, and the R packages limma tool was used to analyze the differential genes expressed in gastric cancer tissues compared to normal tissues, and then the selected genes were verified in the validation set. The String database was used to calculate their Protein–protein interaction (PPI) network, using Cytoscape software's Centiscape and other plug-ins to analyze key genes in the PPI network. The DAVID database was used to enrich and annotate gene functions of differential genes and PPI key module genes, and further explore correlation between expression level and clinical stage and prognosis. Based on clinical data and patient samples, differential expression of key node genes was verified by immunohistochemistry. The 63 characteristic differential genes screened had good discrimination between gastric cancer and normal tissues, and are mainly involved in regulating extracellular matrix receptor interactions and the PI3k-AKT signaling pathway. Key nodes in the PPI network regulate tumor proliferation and metastasis. Analysis of the expression levels of key node genes found that relative to normal tissues, the expression of ITGB1 and COL1A2 was significantly increased in gastric cancer tissues, and patients with late clinical stages of tumors had higher expression of ITGB1 and COL1A2 in tumor tissues, and their survival time was longer (P < 0.05). This study found that ITGB1 and COL1A2 are key genes in the development of gastric cancer and can be used as prognostic markers and potential new targets for gastric cancer.
format	article
author	Jiasheng Xu Xinlu Wang Qiwen Ke Kaili Liao Yanhua Wan Kaihua Zhang Guanyu Zhang Xiaozhong Wang
author_facet	Jiasheng Xu Xinlu Wang Qiwen Ke Kaili Liao Yanhua Wan Kaihua Zhang Guanyu Zhang Xiaozhong Wang
author_sort	Jiasheng Xu
title	Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
title_short	Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
title_full	Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
title_fullStr	Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
title_full_unstemmed	Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
title_sort	combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/563d454a00a3492c9fcc0bfdd493674a
work_keys_str_mv	AT jiashengxu combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer AT xinluwang combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer AT qiwenke combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer AT kaililiao combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer AT yanhuawan combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer AT kaihuazhang combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer AT guanyuzhang combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer AT xiaozhongwang combinedbioinformaticstechnologytoexplorepivotgenesandrelatedclinicalprognosisinthedevelopmentofgastriccancer
_version_	1718383872364773376

Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer

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