Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes

Abstract Background Esophageal adenocarcinoma (EAC) is an aggressive malignancy with a poor prognosis. The immune-related genes (IRGs) are crucial to immunocytes tumor infiltration. This study aimed to construct a IRG-related prediction signature in EAC. Methods The related data of EAC patients and...

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Autores principales:	Xiangxin Zhang, Liu Yang, Ming Kong, Jian Ma, Yutao Wei
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Esophagus adenocarcinoma (EAC) Immune-related genes (IRGs) Prognostic signature TCGA database Cox regression analysis Computer applications to medicine. Medical informatics R858-859.7 Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/53571bef349d4959b35f232b0d26b30a
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spelling	oai:doaj.org-article:53571bef349d4959b35f232b0d26b30a2021-11-07T12:22:12ZDevelopment of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes10.1186/s12859-021-04456-21471-2105https://doaj.org/article/53571bef349d4959b35f232b0d26b30a2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12859-021-04456-2https://doaj.org/toc/1471-2105Abstract Background Esophageal adenocarcinoma (EAC) is an aggressive malignancy with a poor prognosis. The immune-related genes (IRGs) are crucial to immunocytes tumor infiltration. This study aimed to construct a IRG-related prediction signature in EAC. Methods The related data of EAC patients and IRGs were obtained from the TCGA and ImmPort database, respectively. The cox regression analysis constructed the prediction signature and explored the transcription factors regulatory network through the Cistrome database. TIMER database and CIBERSORT analytical tool were utilized to explore the immunocytes infiltration analysis. Results The prediction signature with 12 IRGs (ADRM1, CXCL1, SEMG1, CCL26, CCL24, AREG, IL23A, UCN2, FGFR4, IL17RB, TNFRSF11A, and TNFRSF21) was constructed. Overall survival (OS) curves indicate that the survival rate of the high-risk group is significantly shorter than the low-risk group (P = 7.26e−07), and the AUC of 1-, 3- and 5- year survival prediction rates is 0.871, 0.924, and 0.961, respectively. Compared with traditional features, the ROC curve of the risk score in the EAC patients (0.967) is significant than T (0.57), N (0.738), M (0.568), and Stage (0.768). Moreover, multivariate Cox analysis and Nomogram of risk score are indicated that the 1-year and 3-year survival rates of patients are accurate by the combined analysis of the risk score, Sex, M stage, and Stage (The AUC of 1- and 3-years are 0.911, and 0.853). Conclusion The 12 prognosis-related IRGs might be promising therapeutic targets for EAC.Xiangxin ZhangLiu YangMing KongJian MaYutao WeiBMCarticleEsophagus adenocarcinoma (EAC)Immune-related genes (IRGs)Prognostic signatureTCGA databaseCox regression analysisComputer applications to medicine. Medical informaticsR858-859.7Biology (General)QH301-705.5ENBMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Esophagus adenocarcinoma (EAC) Immune-related genes (IRGs) Prognostic signature TCGA database Cox regression analysis Computer applications to medicine. Medical informatics R858-859.7 Biology (General) QH301-705.5
spellingShingle	Esophagus adenocarcinoma (EAC) Immune-related genes (IRGs) Prognostic signature TCGA database Cox regression analysis Computer applications to medicine. Medical informatics R858-859.7 Biology (General) QH301-705.5 Xiangxin Zhang Liu Yang Ming Kong Jian Ma Yutao Wei Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes
description	Abstract Background Esophageal adenocarcinoma (EAC) is an aggressive malignancy with a poor prognosis. The immune-related genes (IRGs) are crucial to immunocytes tumor infiltration. This study aimed to construct a IRG-related prediction signature in EAC. Methods The related data of EAC patients and IRGs were obtained from the TCGA and ImmPort database, respectively. The cox regression analysis constructed the prediction signature and explored the transcription factors regulatory network through the Cistrome database. TIMER database and CIBERSORT analytical tool were utilized to explore the immunocytes infiltration analysis. Results The prediction signature with 12 IRGs (ADRM1, CXCL1, SEMG1, CCL26, CCL24, AREG, IL23A, UCN2, FGFR4, IL17RB, TNFRSF11A, and TNFRSF21) was constructed. Overall survival (OS) curves indicate that the survival rate of the high-risk group is significantly shorter than the low-risk group (P = 7.26e−07), and the AUC of 1-, 3- and 5- year survival prediction rates is 0.871, 0.924, and 0.961, respectively. Compared with traditional features, the ROC curve of the risk score in the EAC patients (0.967) is significant than T (0.57), N (0.738), M (0.568), and Stage (0.768). Moreover, multivariate Cox analysis and Nomogram of risk score are indicated that the 1-year and 3-year survival rates of patients are accurate by the combined analysis of the risk score, Sex, M stage, and Stage (The AUC of 1- and 3-years are 0.911, and 0.853). Conclusion The 12 prognosis-related IRGs might be promising therapeutic targets for EAC.
format	article
author	Xiangxin Zhang Liu Yang Ming Kong Jian Ma Yutao Wei
author_facet	Xiangxin Zhang Liu Yang Ming Kong Jian Ma Yutao Wei
author_sort	Xiangxin Zhang
title	Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes
title_short	Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes
title_full	Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes
title_fullStr	Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes
title_full_unstemmed	Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes
title_sort	development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes
publisher	BMC
publishDate	2021
url	https://doaj.org/article/53571bef349d4959b35f232b0d26b30a
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Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes

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