Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma

BackgroundFew studies have addressed the role of immune-related genes in the survival and prognosis of different esophageal cancer (EC) sub-types. We established two new prognostic model indexes by bioinformatics analysis to select patients with esophageal squamous cell carcinoma (ESCC) and esophage...

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Main Authors: Zhenghua Fei, Rongrong Xie, Zhi Chen, Junhui Xie, Yuyang Gu, Yue Zhou, Tongpeng Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.625271/full
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spelling doaj-a4b0940e18d34540be1af7b604e208c82021-03-30T06:11:47ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-03-011110.3389/fonc.2021.625271625271Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal CarcinomaZhenghua Fei0Rongrong Xie1Zhi Chen2Junhui Xie3Yuyang Gu4Yue Zhou5Tongpeng Xu6Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Head and Neck Surgery, Tumor Hospital of Ganzhou, Ganzhou, ChinaDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaBackgroundFew studies have addressed the role of immune-related genes in the survival and prognosis of different esophageal cancer (EC) sub-types. We established two new prognostic model indexes by bioinformatics analysis to select patients with esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) who may benefit from immunotherapy.MethodsBased on TCGA and ImmPort data sets, we screened immune genes differentially expressed between tumor and normal tissues in ESCC and EAC and analyzed the relationship between these genes and patient survival outcomes. We established the risk score models of immune-related genes in ESCC and EAC by multivariate COX regression analysis.ResultsWe identified 12 and 11 immune-related differentially expressed genes associated with the clinical prognosis of ESCC and EAC respectively, based on which two prognostic risk score models of the two EC sub-types were constructed. It was found that the survival probability of patients with high scores was significantly lower than that of patients with low scores (p < 0.001). BMP1, EGFR, S100A12, HLA-B, TNFSF18, IL1B, MAPT and OXTR were significantly related to sex, TNM stage or survival outcomes of ESCC or EAC patients (p < 0.05). In addition, the risk score of ESCC was significantly correlated with the level of B cell infiltration in immune cells (p < 0.05).ConclusionsThe prognosis-related immune gene model indexes described herein prove to be useful prognostic biomarkers of the two EC sub-types in that they may provide a reference direction for looking for the beneficiaries of immunotherapy for EC patients.https://www.frontiersin.org/articles/10.3389/fonc.2021.625271/fullesophageal carcinomahistological subtypeimmune geneprognostic model indexrisk scorebioinformatics
collection DOAJ
language English
format Article
sources DOAJ
author Zhenghua Fei
Rongrong Xie
Zhi Chen
Junhui Xie
Yuyang Gu
Yue Zhou
Tongpeng Xu
spellingShingle Zhenghua Fei
Rongrong Xie
Zhi Chen
Junhui Xie
Yuyang Gu
Yue Zhou
Tongpeng Xu
Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma
Frontiers in Oncology
esophageal carcinoma
histological subtype
immune gene
prognostic model index
risk score
bioinformatics
author_facet Zhenghua Fei
Rongrong Xie
Zhi Chen
Junhui Xie
Yuyang Gu
Yue Zhou
Tongpeng Xu
author_sort Zhenghua Fei
title Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma
title_short Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma
title_full Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma
title_fullStr Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma
title_full_unstemmed Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma
title_sort establishment of a novel risk score system of immune genes associated with prognosis in esophageal carcinoma
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2021-03-01
description BackgroundFew studies have addressed the role of immune-related genes in the survival and prognosis of different esophageal cancer (EC) sub-types. We established two new prognostic model indexes by bioinformatics analysis to select patients with esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) who may benefit from immunotherapy.MethodsBased on TCGA and ImmPort data sets, we screened immune genes differentially expressed between tumor and normal tissues in ESCC and EAC and analyzed the relationship between these genes and patient survival outcomes. We established the risk score models of immune-related genes in ESCC and EAC by multivariate COX regression analysis.ResultsWe identified 12 and 11 immune-related differentially expressed genes associated with the clinical prognosis of ESCC and EAC respectively, based on which two prognostic risk score models of the two EC sub-types were constructed. It was found that the survival probability of patients with high scores was significantly lower than that of patients with low scores (p < 0.001). BMP1, EGFR, S100A12, HLA-B, TNFSF18, IL1B, MAPT and OXTR were significantly related to sex, TNM stage or survival outcomes of ESCC or EAC patients (p < 0.05). In addition, the risk score of ESCC was significantly correlated with the level of B cell infiltration in immune cells (p < 0.05).ConclusionsThe prognosis-related immune gene model indexes described herein prove to be useful prognostic biomarkers of the two EC sub-types in that they may provide a reference direction for looking for the beneficiaries of immunotherapy for EC patients.
topic esophageal carcinoma
histological subtype
immune gene
prognostic model index
risk score
bioinformatics
url https://www.frontiersin.org/articles/10.3389/fonc.2021.625271/full
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