Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in Glioma

Signal transducer and activator of transcription (STAT) family genes—of which there are seven members: STAT1, STAT2, STAT3, STAT4, STAT5A, STAT5B, and STAT6—have been associated with the progression of multiple cancers. However, their prognostic values in glioma remain unclear. In this study, we sys...

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Main Authors: Wei Ji, Yuankun Liu, Bin Xu, Jie Mei, Chao Cheng, Yong Xiao, Kun Yang, Weiyi Huang, Jiantong Jiao, Hongyi Liu, Junfei Shao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.625234/full
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author Wei Ji
Wei Ji
Yuankun Liu
Bin Xu
Jie Mei
Chao Cheng
Yong Xiao
Kun Yang
Weiyi Huang
Jiantong Jiao
Hongyi Liu
Junfei Shao
author_facet Wei Ji
Wei Ji
Yuankun Liu
Bin Xu
Jie Mei
Chao Cheng
Yong Xiao
Kun Yang
Weiyi Huang
Jiantong Jiao
Hongyi Liu
Junfei Shao
author_sort Wei Ji
collection DOAJ
description Signal transducer and activator of transcription (STAT) family genes—of which there are seven members: STAT1, STAT2, STAT3, STAT4, STAT5A, STAT5B, and STAT6—have been associated with the progression of multiple cancers. However, their prognostic values in glioma remain unclear. In this study, we systematically investigated the expression, the prognostic value, and the potential mechanism of the STAT family genes in glioma. The expression of STAT1/2/3/5A/6 members were significantly higher and positively correlated with IDH mutations, while the expression of STAT5B was lower and negatively correlated with IDH mutations in glioma. Survival analysis indicated that the upregulation of STAT1/2/3/5A/6 and downregulation of STAT5B expression was associated with poorer overall survival in glioma. Joint effects analysis of STAT1/2/3/5A/5B/6 expression suggested that the prognostic value of the group was more significant than that of each individual gene. Thus, we constructed a risk score model to predict the prognosis of glioma. The receiver operating characteristic curve and calibration curves showed good performance as prognostic indicators in both TCGA (The Cancer Genome Atlas) and the CGGA (Chinese Glioma Genome Atlas) databases. Furthermore, we analyzed the correlation between STAT expression with immune infiltration in glioma. The Protein–protein interaction network and enrichment analysis showed that STAT members and co-expressed genes mainly participated in signal transduction activity, Hepatitis B, the Jak-STAT signaling pathway, transcription factor activity, sequence-specific DNA binding, and the cytokine-mediated signaling pathway in glioma. In summary, our study analyzed the expression, prognostic values, and biological roles of the STAT gene family members in glioma, based on which we developed a new risk score model to predict the prognosis of glioma more precisely.
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spelling doaj.art-6cbe003fd47147bab1a5ae29daa407552022-12-21T22:06:57ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-07-011210.3389/fgene.2021.625234625234Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in GliomaWei Ji0Wei Ji1Yuankun Liu2Bin Xu3Jie Mei4Chao Cheng5Yong Xiao6Kun Yang7Weiyi Huang8Jiantong Jiao9Hongyi Liu10Junfei Shao11Department of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaDepartment of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, ChinaDepartment of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaDepartment of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaDepartment of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaDepartment of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaDepartment of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, ChinaDepartment of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, ChinaDepartment of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaDepartment of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaDepartment of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, ChinaDepartment of Neurosurgery, Wuxi People’s Hospital of Nanjing Medical University, Wuxi, ChinaSignal transducer and activator of transcription (STAT) family genes—of which there are seven members: STAT1, STAT2, STAT3, STAT4, STAT5A, STAT5B, and STAT6—have been associated with the progression of multiple cancers. However, their prognostic values in glioma remain unclear. In this study, we systematically investigated the expression, the prognostic value, and the potential mechanism of the STAT family genes in glioma. The expression of STAT1/2/3/5A/6 members were significantly higher and positively correlated with IDH mutations, while the expression of STAT5B was lower and negatively correlated with IDH mutations in glioma. Survival analysis indicated that the upregulation of STAT1/2/3/5A/6 and downregulation of STAT5B expression was associated with poorer overall survival in glioma. Joint effects analysis of STAT1/2/3/5A/5B/6 expression suggested that the prognostic value of the group was more significant than that of each individual gene. Thus, we constructed a risk score model to predict the prognosis of glioma. The receiver operating characteristic curve and calibration curves showed good performance as prognostic indicators in both TCGA (The Cancer Genome Atlas) and the CGGA (Chinese Glioma Genome Atlas) databases. Furthermore, we analyzed the correlation between STAT expression with immune infiltration in glioma. The Protein–protein interaction network and enrichment analysis showed that STAT members and co-expressed genes mainly participated in signal transduction activity, Hepatitis B, the Jak-STAT signaling pathway, transcription factor activity, sequence-specific DNA binding, and the cytokine-mediated signaling pathway in glioma. In summary, our study analyzed the expression, prognostic values, and biological roles of the STAT gene family members in glioma, based on which we developed a new risk score model to predict the prognosis of glioma more precisely.https://www.frontiersin.org/articles/10.3389/fgene.2021.625234/fullgliomasignal transducer and activator of transcriptionprognosisThe Cancer Genome AtlasChinese Glioma Genome Atlas
spellingShingle Wei Ji
Wei Ji
Yuankun Liu
Bin Xu
Jie Mei
Chao Cheng
Yong Xiao
Kun Yang
Weiyi Huang
Jiantong Jiao
Hongyi Liu
Junfei Shao
Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in Glioma
Frontiers in Genetics
glioma
signal transducer and activator of transcription
prognosis
The Cancer Genome Atlas
Chinese Glioma Genome Atlas
title Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in Glioma
title_full Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in Glioma
title_fullStr Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in Glioma
title_full_unstemmed Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in Glioma
title_short Bioinformatics Analysis of Expression Profiles and Prognostic Values of the Signal Transducer and Activator of Transcription Family Genes in Glioma
title_sort bioinformatics analysis of expression profiles and prognostic values of the signal transducer and activator of transcription family genes in glioma
topic glioma
signal transducer and activator of transcription
prognosis
The Cancer Genome Atlas
Chinese Glioma Genome Atlas
url https://www.frontiersin.org/articles/10.3389/fgene.2021.625234/full
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