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A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma

The tumor-suppressor gene tumor protein p53 (TP53) is one of the most commonly mutated genes in human lung cancer, and TP53 mutations are associated with a worsened prognosis and causes resistance to cancer therapy. RNA sequencing and TP53 mutation data were downloaded to determine specific TP53-ass...

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Autores principales: Xu, Feng, Lin, Haoyu, He, Pei, He, Lulu, Chen, Jiexin, Lin, Ling, Chen, Yongsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051188/
https://www.ncbi.nlm.nih.gov/pubmed/32158625
http://dx.doi.org/10.1080/2162402X.2020.1731943
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author Xu, Feng
Lin, Haoyu
He, Pei
He, Lulu
Chen, Jiexin
Lin, Ling
Chen, Yongsong
author_facet Xu, Feng
Lin, Haoyu
He, Pei
He, Lulu
Chen, Jiexin
Lin, Ling
Chen, Yongsong
author_sort Xu, Feng
collection PubMed
description The tumor-suppressor gene tumor protein p53 (TP53) is one of the most commonly mutated genes in human lung cancer, and TP53 mutations are associated with a worsened prognosis and causes resistance to cancer therapy. RNA sequencing and TP53 mutation data were downloaded to determine specific TP53-associated signature based on differentially expressed genes between patients with lung squamous cell carcinoma (LUSC) with wild type (TP53 (WT)) and mutated (TP53(MUT)) TP53. We investigated the predictive value of this signature on the immune microenvironment, tumor mutational burden (TMB), and likelihood of response to immunotherapy and chemotherapy. In total, 1,556 differentially expressed genes were identified based on TP53 mutation status. Three genes (KLK6, MUC22 and CSN1S1) identified by univariate and multivariate Cox regression analyses, comprised the prognostic signature which was an independent and specific prognostic marker of overall survival in patients with LUSC. A nomogram was also established to validate this signature for clinical use. Moreover, the high-risk group was characterized by increased infiltration of monocytes and macrophages M1, and decreased T cells CD8 and T cells follicular helper. High-risk group exhibited a higher TMB, and was much more sensitive to immunotherapy and chemotherapy. KLK6 and CSN1S1 expression and the prognostic prediction values were further validated in clinical samples. The derived TP53-associated signature is a specific and independent prognostic biomarker for LUSC patients, and could provide potential prognostic biomarker or therapeutic targets for the development of novel immunotherapies and chemotherapies.
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spelling pubmed-70511882020-03-10 A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma Xu, Feng Lin, Haoyu He, Pei He, Lulu Chen, Jiexin Lin, Ling Chen, Yongsong Oncoimmunology Original Research The tumor-suppressor gene tumor protein p53 (TP53) is one of the most commonly mutated genes in human lung cancer, and TP53 mutations are associated with a worsened prognosis and causes resistance to cancer therapy. RNA sequencing and TP53 mutation data were downloaded to determine specific TP53-associated signature based on differentially expressed genes between patients with lung squamous cell carcinoma (LUSC) with wild type (TP53 (WT)) and mutated (TP53(MUT)) TP53. We investigated the predictive value of this signature on the immune microenvironment, tumor mutational burden (TMB), and likelihood of response to immunotherapy and chemotherapy. In total, 1,556 differentially expressed genes were identified based on TP53 mutation status. Three genes (KLK6, MUC22 and CSN1S1) identified by univariate and multivariate Cox regression analyses, comprised the prognostic signature which was an independent and specific prognostic marker of overall survival in patients with LUSC. A nomogram was also established to validate this signature for clinical use. Moreover, the high-risk group was characterized by increased infiltration of monocytes and macrophages M1, and decreased T cells CD8 and T cells follicular helper. High-risk group exhibited a higher TMB, and was much more sensitive to immunotherapy and chemotherapy. KLK6 and CSN1S1 expression and the prognostic prediction values were further validated in clinical samples. The derived TP53-associated signature is a specific and independent prognostic biomarker for LUSC patients, and could provide potential prognostic biomarker or therapeutic targets for the development of novel immunotherapies and chemotherapies. Taylor & Francis 2020-03-02 /pmc/articles/PMC7051188/ /pubmed/32158625 http://dx.doi.org/10.1080/2162402X.2020.1731943 Text en © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Xu, Feng
Lin, Haoyu
He, Pei
He, Lulu
Chen, Jiexin
Lin, Ling
Chen, Yongsong
A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma
title A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma
title_full A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma
title_fullStr A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma
title_full_unstemmed A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma
title_short A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma
title_sort tp53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051188/
https://www.ncbi.nlm.nih.gov/pubmed/32158625
http://dx.doi.org/10.1080/2162402X.2020.1731943
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