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An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma

Evidence has suggested that the cancer-associated extracellular matrix (ECM) could be recognised as immune-related biomarkers that modulate tumour progression and expansion. However, the ECM-associated immune effect on esophageal squamous cell carcinoma (ESCC) prognosis and therapy has not been well...

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Autores principales: Zhang, Hongpan, Shi, Qi, Yang, Zhihao, Wang, Kaige, Zhang, Zhiyu, Huang, Zheng, Cui, Xiaobin, Li, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044946/
https://www.ncbi.nlm.nih.gov/pubmed/33869274
http://dx.doi.org/10.3389/fmolb.2021.598427
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author Zhang, Hongpan
Shi, Qi
Yang, Zhihao
Wang, Kaige
Zhang, Zhiyu
Huang, Zheng
Cui, Xiaobin
Li, Feng
author_facet Zhang, Hongpan
Shi, Qi
Yang, Zhihao
Wang, Kaige
Zhang, Zhiyu
Huang, Zheng
Cui, Xiaobin
Li, Feng
author_sort Zhang, Hongpan
collection PubMed
description Evidence has suggested that the cancer-associated extracellular matrix (ECM) could be recognised as immune-related biomarkers that modulate tumour progression and expansion. However, the ECM-associated immune effect on esophageal squamous cell carcinoma (ESCC) prognosis and therapy has not been well characterised. In our study, we first constructed an ECM-related signature including four genes CST1, NELL2, ADAMTSL4, and ANGPTL7 by multivariate Cox regression analyses. This signature could serve as a marker to evaluate the prognosis of patients with ESCC and was successfully validated in testing and combined (training plus testing) cohorts. We also found that there were significant different therapeutic responses to chemotherapy and targeted drugs between the high-risk and low-risk groups of patients defined by the signature. Furthermore, the expression of four genes and immune function analysis suggested that this ECM-related signature gene might play important roles in the changes of the tumour microenvironment. In conclusion, our findings demonstrated that the ECM-related signature might serve as an independent prognostic factor and provide a potential biomarker for chemotherapy responses for patients with ESCC.
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spelling pubmed-80449462021-04-15 An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma Zhang, Hongpan Shi, Qi Yang, Zhihao Wang, Kaige Zhang, Zhiyu Huang, Zheng Cui, Xiaobin Li, Feng Front Mol Biosci Molecular Biosciences Evidence has suggested that the cancer-associated extracellular matrix (ECM) could be recognised as immune-related biomarkers that modulate tumour progression and expansion. However, the ECM-associated immune effect on esophageal squamous cell carcinoma (ESCC) prognosis and therapy has not been well characterised. In our study, we first constructed an ECM-related signature including four genes CST1, NELL2, ADAMTSL4, and ANGPTL7 by multivariate Cox regression analyses. This signature could serve as a marker to evaluate the prognosis of patients with ESCC and was successfully validated in testing and combined (training plus testing) cohorts. We also found that there were significant different therapeutic responses to chemotherapy and targeted drugs between the high-risk and low-risk groups of patients defined by the signature. Furthermore, the expression of four genes and immune function analysis suggested that this ECM-related signature gene might play important roles in the changes of the tumour microenvironment. In conclusion, our findings demonstrated that the ECM-related signature might serve as an independent prognostic factor and provide a potential biomarker for chemotherapy responses for patients with ESCC. Frontiers Media S.A. 2021-03-18 /pmc/articles/PMC8044946/ /pubmed/33869274 http://dx.doi.org/10.3389/fmolb.2021.598427 Text en Copyright © 2021 Zhang, Shi, Yang, Wang, Zhang, Huang, Cui and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Zhang, Hongpan
Shi, Qi
Yang, Zhihao
Wang, Kaige
Zhang, Zhiyu
Huang, Zheng
Cui, Xiaobin
Li, Feng
An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma
title An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma
title_full An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma
title_fullStr An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma
title_full_unstemmed An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma
title_short An Extracellular Matrix-Based Signature Associated With Immune Microenvironment Predicts the Prognosis and Therapeutic Responses of Patients With Oesophageal Squamous Cell Carcinoma
title_sort extracellular matrix-based signature associated with immune microenvironment predicts the prognosis and therapeutic responses of patients with oesophageal squamous cell carcinoma
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044946/
https://www.ncbi.nlm.nih.gov/pubmed/33869274
http://dx.doi.org/10.3389/fmolb.2021.598427
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