Development of a prognostic signature for esophageal cancer based on nine immune related genes

Abstract Background Function of the immune system is correlated with the prognosis of the tumor. The effect of immune microenvironment on esophageal cancer (EC) development has not been fully investigated. Methods This study aimed to explore a prognostic model based on immune-related genes (IRGs) fo...

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Main Authors: Zhi Zhang, Cheng Chen, Ying Fang, Sheng Li, Xiaohua Wang, Lei Sun, Guoren Zhou, Jinjun Ye
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-021-07813-9
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author Zhi Zhang
Cheng Chen
Ying Fang
Sheng Li
Xiaohua Wang
Lei Sun
Guoren Zhou
Jinjun Ye
author_facet Zhi Zhang
Cheng Chen
Ying Fang
Sheng Li
Xiaohua Wang
Lei Sun
Guoren Zhou
Jinjun Ye
author_sort Zhi Zhang
collection DOAJ
description Abstract Background Function of the immune system is correlated with the prognosis of the tumor. The effect of immune microenvironment on esophageal cancer (EC) development has not been fully investigated. Methods This study aimed to explore a prognostic model based on immune-related genes (IRGs) for EC. We obtained the RNA-seq dataset and clinical information of EC from the Cancer Genome Atlas (TCGA). Results We identified 247 upregulated IRGs and 56 downregulated IRGs. Pathway analysis revealed that the most differentially expressed IRGs were enriched in Cytokine-cytokine receptor interaction. We further screened 13 survival-related IRGs and constructed regulatory networks involving related transcription factors (TFs). Finally, a prognostic model was constructed with 9 IRGs (HSPA6, S100A12, CACYBP, NOS2, DKK1, OSM, STC2, NGPTL3 and NR2F2) by multivariate Cox regression analysis. The patients were classified into two subgroups with different outcomes. When adjusted with clinical factors, this model was verified as an independent predictor, which performed accurately in prognostic prediction. Next, M0 and M2 macrophages and activated mast cells were significantly enriched in high-risk group, while CD8 T cells and regulatory T cells (Tregs) were significantly enriched in low-risk group. Conclusions Prognosis related IRGs were identified and a prognostic signature for esophageal cancer based on nine IRGs was developed.
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spelling doaj.art-99279d38057f4302ad0aaf4d394639122022-12-21T22:21:08ZengBMCBMC Cancer1471-24072021-02-0121111610.1186/s12885-021-07813-9Development of a prognostic signature for esophageal cancer based on nine immune related genesZhi Zhang0Cheng Chen1Ying Fang2Sheng Li3Xiaohua Wang4Lei Sun5Guoren Zhou6Jinjun Ye7Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer HospitalAbstract Background Function of the immune system is correlated with the prognosis of the tumor. The effect of immune microenvironment on esophageal cancer (EC) development has not been fully investigated. Methods This study aimed to explore a prognostic model based on immune-related genes (IRGs) for EC. We obtained the RNA-seq dataset and clinical information of EC from the Cancer Genome Atlas (TCGA). Results We identified 247 upregulated IRGs and 56 downregulated IRGs. Pathway analysis revealed that the most differentially expressed IRGs were enriched in Cytokine-cytokine receptor interaction. We further screened 13 survival-related IRGs and constructed regulatory networks involving related transcription factors (TFs). Finally, a prognostic model was constructed with 9 IRGs (HSPA6, S100A12, CACYBP, NOS2, DKK1, OSM, STC2, NGPTL3 and NR2F2) by multivariate Cox regression analysis. The patients were classified into two subgroups with different outcomes. When adjusted with clinical factors, this model was verified as an independent predictor, which performed accurately in prognostic prediction. Next, M0 and M2 macrophages and activated mast cells were significantly enriched in high-risk group, while CD8 T cells and regulatory T cells (Tregs) were significantly enriched in low-risk group. Conclusions Prognosis related IRGs were identified and a prognostic signature for esophageal cancer based on nine IRGs was developed.https://doi.org/10.1186/s12885-021-07813-9Esophageal cancerPrognostic indexImmune-related genesTCGA
spellingShingle Zhi Zhang
Cheng Chen
Ying Fang
Sheng Li
Xiaohua Wang
Lei Sun
Guoren Zhou
Jinjun Ye
Development of a prognostic signature for esophageal cancer based on nine immune related genes
BMC Cancer
Esophageal cancer
Prognostic index
Immune-related genes
TCGA
title Development of a prognostic signature for esophageal cancer based on nine immune related genes
title_full Development of a prognostic signature for esophageal cancer based on nine immune related genes
title_fullStr Development of a prognostic signature for esophageal cancer based on nine immune related genes
title_full_unstemmed Development of a prognostic signature for esophageal cancer based on nine immune related genes
title_short Development of a prognostic signature for esophageal cancer based on nine immune related genes
title_sort development of a prognostic signature for esophageal cancer based on nine immune related genes
topic Esophageal cancer
Prognostic index
Immune-related genes
TCGA
url https://doi.org/10.1186/s12885-021-07813-9
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