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The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma
TP53 mutation (TP53(MUT)) is one of the most common gene mutations and frequently occurs in many cancers, especially esophageal carcinoma (ESCA), and it correlates with clinical prognostic outcomes. Nevertheless, the mechanisms by which TP53(MUT) regulates the correlation between ESCA and prognosis...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256894/ https://www.ncbi.nlm.nih.gov/pubmed/34234806 http://dx.doi.org/10.3389/fgene.2021.607238 |
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author | Zhang, Hongpan Huang, Zheng Song, Yangguang Yang, Zhihao Shi, Qi Wang, Kaige Zhang, Zhiyu Liu, Zheng Cui, Xiaobin Li, Feng |
author_facet | Zhang, Hongpan Huang, Zheng Song, Yangguang Yang, Zhihao Shi, Qi Wang, Kaige Zhang, Zhiyu Liu, Zheng Cui, Xiaobin Li, Feng |
author_sort | Zhang, Hongpan |
collection | PubMed |
description | TP53 mutation (TP53(MUT)) is one of the most common gene mutations and frequently occurs in many cancers, especially esophageal carcinoma (ESCA), and it correlates with clinical prognostic outcomes. Nevertheless, the mechanisms by which TP53(MUT) regulates the correlation between ESCA and prognosis have not been sufficiently studied. Here, in the current research, we constructed a TP53(MUT)-related signature to predict the prognosis of patients with esophageal cancer and successfully verified this model in patients in the TP53 mutant group, esophageal squamous cell carcinoma group, and adenocarcinoma group. The risk scores proved to be better independent prognostic factors than clinical features, and prognostic features were combined with other clinical features to establish a convincing nomogram to predict overall survival from 1 to 3 years. In addition, we further predicted the tumor immune cell infiltration, chemical drugs, and immunotherapy responses between the high-risk group and low risk group. Finally, the gene expression of the seven-gene signature (AP002478.1, BHLHA15, FFAR2, IGFBP1, KCTD8, PHYHD1, and SLC26A9) can provide personalized prognosis prediction and insights into new treatments. |
format | Online Article Text |
id | pubmed-8256894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82568942021-07-06 The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma Zhang, Hongpan Huang, Zheng Song, Yangguang Yang, Zhihao Shi, Qi Wang, Kaige Zhang, Zhiyu Liu, Zheng Cui, Xiaobin Li, Feng Front Genet Genetics TP53 mutation (TP53(MUT)) is one of the most common gene mutations and frequently occurs in many cancers, especially esophageal carcinoma (ESCA), and it correlates with clinical prognostic outcomes. Nevertheless, the mechanisms by which TP53(MUT) regulates the correlation between ESCA and prognosis have not been sufficiently studied. Here, in the current research, we constructed a TP53(MUT)-related signature to predict the prognosis of patients with esophageal cancer and successfully verified this model in patients in the TP53 mutant group, esophageal squamous cell carcinoma group, and adenocarcinoma group. The risk scores proved to be better independent prognostic factors than clinical features, and prognostic features were combined with other clinical features to establish a convincing nomogram to predict overall survival from 1 to 3 years. In addition, we further predicted the tumor immune cell infiltration, chemical drugs, and immunotherapy responses between the high-risk group and low risk group. Finally, the gene expression of the seven-gene signature (AP002478.1, BHLHA15, FFAR2, IGFBP1, KCTD8, PHYHD1, and SLC26A9) can provide personalized prognosis prediction and insights into new treatments. Frontiers Media S.A. 2021-06-16 /pmc/articles/PMC8256894/ /pubmed/34234806 http://dx.doi.org/10.3389/fgene.2021.607238 Text en Copyright © 2021 Zhang, Huang, Song, Yang, Shi, Wang, Zhang, Liu, 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 | Genetics Zhang, Hongpan Huang, Zheng Song, Yangguang Yang, Zhihao Shi, Qi Wang, Kaige Zhang, Zhiyu Liu, Zheng Cui, Xiaobin Li, Feng The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma |
title | The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma |
title_full | The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma |
title_fullStr | The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma |
title_full_unstemmed | The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma |
title_short | The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma |
title_sort | tp53-related signature predicts immune cell infiltration, therapeutic response, and prognosis in patients with esophageal carcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256894/ https://www.ncbi.nlm.nih.gov/pubmed/34234806 http://dx.doi.org/10.3389/fgene.2021.607238 |
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