Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer

Background: Hypoxia is a crucial factor in the development of esophageal cancer. The relationship between hypoxia and immune status in the esophageal cancer microenvironment is becoming increasingly important in clinical practice. This study aims to clarify and investigate the possible connection b...

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Auteurs principaux:	Linlin Tan, Dingzhuo Cheng, Jianbo Wen, Kefeng Huang, Qin Zhang
Format:	article
Langue:	EN
Publié:	AIMS Press 2021
Sujets:	hypoxia esophageal cancer tumor microenvironment immune cell infiltration gene set enrichment analysis Biotechnology TP248.13-248.65 Mathematics QA1-939
Accès en ligne:	https://doaj.org/article/b0508df6e5c943aa9e9431a3e6ec1c02
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spelling	oai:doaj.org-article:b0508df6e5c943aa9e9431a3e6ec1c022021-11-23T02:39:15ZIdentification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer10.3934/mbe.20213841551-0018https://doaj.org/article/b0508df6e5c943aa9e9431a3e6ec1c022021-09-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021384https://www.aimspress.com/article/doi/10.3934/mbe.2021384https://doaj.org/toc/1551-0018Background: Hypoxia is a crucial factor in the development of esophageal cancer. The relationship between hypoxia and immune status in the esophageal cancer microenvironment is becoming increasingly important in clinical practice. This study aims to clarify and investigate the possible connection between immunotherapy and hypoxia in esophageal cancer. Methods: The Cancer Genome Atlas databases are used to find two types of esophageal cancer cases. Cox regressions analyses are used to screen genes for hypoxia-related traits. After that, the genetic signature is validated by survival analysis and the construction of ROC curves. GSEA is used to compare differences in enrichment in the two groups and is followed by the CIBERSORT tool to investigate a potentially relevant correlation between immune cells and gene signatures. Results: We found that the esophageal adenocarcinoma hypoxia model contains 3 genes (PGK1, PGM1, SLC2A3), and the esophageal squamous cell carcinoma hypoxia model contains 2 genes (EGFR, ATF3). The findings demonstrated that the survival rate of patients in the high-risk group is lower than in the lower-risk group. Furthermore, we find that three kinds of immune cells (memory activated CD4+ T cells, activated mast cells, and M2 macrophages) have a marked infiltration in the tissues of patients in the high-risk group. Moreover, we find that PD-L1 and CD244 are highly expressed in high-risk groups. Conclusions: Our data demonstrate that oxygen deprivation is correlated with prognosis and the incidence of immune cell infiltration in patients with both types of esophageal cancer, which provides an immunological perspective for the development of personalized therapy.Linlin TanDingzhuo Cheng Jianbo WenKefeng Huang Qin Zhang AIMS Pressarticlehypoxiaesophageal cancertumor microenvironmentimmune cell infiltrationgene set enrichment analysisBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 7743-7758 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hypoxia esophageal cancer tumor microenvironment immune cell infiltration gene set enrichment analysis Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	hypoxia esophageal cancer tumor microenvironment immune cell infiltration gene set enrichment analysis Biotechnology TP248.13-248.65 Mathematics QA1-939 Linlin Tan Dingzhuo Cheng Jianbo Wen Kefeng Huang Qin Zhang Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer
description	Background: Hypoxia is a crucial factor in the development of esophageal cancer. The relationship between hypoxia and immune status in the esophageal cancer microenvironment is becoming increasingly important in clinical practice. This study aims to clarify and investigate the possible connection between immunotherapy and hypoxia in esophageal cancer. Methods: The Cancer Genome Atlas databases are used to find two types of esophageal cancer cases. Cox regressions analyses are used to screen genes for hypoxia-related traits. After that, the genetic signature is validated by survival analysis and the construction of ROC curves. GSEA is used to compare differences in enrichment in the two groups and is followed by the CIBERSORT tool to investigate a potentially relevant correlation between immune cells and gene signatures. Results: We found that the esophageal adenocarcinoma hypoxia model contains 3 genes (PGK1, PGM1, SLC2A3), and the esophageal squamous cell carcinoma hypoxia model contains 2 genes (EGFR, ATF3). The findings demonstrated that the survival rate of patients in the high-risk group is lower than in the lower-risk group. Furthermore, we find that three kinds of immune cells (memory activated CD4+ T cells, activated mast cells, and M2 macrophages) have a marked infiltration in the tissues of patients in the high-risk group. Moreover, we find that PD-L1 and CD244 are highly expressed in high-risk groups. Conclusions: Our data demonstrate that oxygen deprivation is correlated with prognosis and the incidence of immune cell infiltration in patients with both types of esophageal cancer, which provides an immunological perspective for the development of personalized therapy.
format	article
author	Linlin Tan Dingzhuo Cheng Jianbo Wen Kefeng Huang Qin Zhang
author_facet	Linlin Tan Dingzhuo Cheng Jianbo Wen Kefeng Huang Qin Zhang
author_sort	Linlin Tan
title	Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer
title_short	Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer
title_full	Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer
title_fullStr	Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer
title_full_unstemmed	Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer
title_sort	identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/b0508df6e5c943aa9e9431a3e6ec1c02
work_keys_str_mv	AT linlintan identificationofprognostichypoxiarelatedgenessignatureonthetumormicroenvironmentinesophagealcancer AT dingzhuocheng identificationofprognostichypoxiarelatedgenessignatureonthetumormicroenvironmentinesophagealcancer AT jianbowen identificationofprognostichypoxiarelatedgenessignatureonthetumormicroenvironmentinesophagealcancer AT kefenghuang identificationofprognostichypoxiarelatedgenessignatureonthetumormicroenvironmentinesophagealcancer AT qinzhang identificationofprognostichypoxiarelatedgenessignatureonthetumormicroenvironmentinesophagealcancer
_version_	1718417395712786432

Identification of prognostic hypoxia-related genes signature on the tumor microenvironment in esophageal cancer

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