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Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma

PURPOSE: TP53 mutation, one of the most frequent mutations in early‐stage lung adenocarcinoma (LUAD), triggers a series of alterations in the immune landscape, progression, and clinical outcome of early‐stage LUAD. Our study was designed to unravel the effects of TP53 mutation on the immunophenotype...

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Autores principales: Wu, Chengde, Rao, Xiang, Lin, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897963/
https://www.ncbi.nlm.nih.gov/pubmed/33314730
http://dx.doi.org/10.1002/cam4.3655
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author Wu, Chengde
Rao, Xiang
Lin, Wei
author_facet Wu, Chengde
Rao, Xiang
Lin, Wei
author_sort Wu, Chengde
collection PubMed
description PURPOSE: TP53 mutation, one of the most frequent mutations in early‐stage lung adenocarcinoma (LUAD), triggers a series of alterations in the immune landscape, progression, and clinical outcome of early‐stage LUAD. Our study was designed to unravel the effects of TP53 mutation on the immunophenotype of early‐stage LUAD and formulate a TP53‐associated immune prognostic model (IPM) that can estimate prognosis in early‐stage LUAD patients. MATERIALS AND METHODS: Immune‐associated differentially expressed genes (DEGs) between TP53 mutated (TP53(MUT)) and TP53 wild‐type (TP53(WT)) early‐stage LUAD were comprehensively analyzed. Univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis identified the prognostic immune‐associated DEGs. We constructed and validated an IPM based on the TCGA and a meta‐GEO composed of GSE72094, GSE42127, and GSE31210, respectively. The CIBERSORT algorithm was analyzed for assessing the percentage of immune cell types. A nomogram model was established for clinical application. RESULTS: TP53 mutation occurred in approximately 50.00% of LUAD patients, stimulating a weakened immune response in early‐stage LUAD. Sixty‐seven immune‐associated DEGs were determined between TP53(WT) and TP53(MUT) cohort. An IPM consisting of two prognostic immune‐associated DEGs (risk score = 0.098 * ENTPD2 expression + 0.168 * MIF expression) was developed through 397 cases in the TCGA and further validated based on 623 patients in a meta‐GEO. The IPM stratified patients into low or high risk of undesirable survival and was identified as an independent prognostic indicator in multivariate analysis (HR = 2.09, 95% CI: 1.43–3.06, p < 0.001). Increased expressions of PD‐L1, CTLA‐4, and TIGIT were revealed in the high‐risk group. Prognostic nomogram incorporating the IPM and other clinicopathological parameters (TNM stage and age) achieved optimal predictive accuracy and clinical utility. CONCLUSION: The IPM based on TP53 status is a reliable and robust immune signature to identify early‐stage LUAD patients with high risk of unfavorable survival.
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spelling pubmed-78979632021-02-23 Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma Wu, Chengde Rao, Xiang Lin, Wei Cancer Med Clinical Cancer Research PURPOSE: TP53 mutation, one of the most frequent mutations in early‐stage lung adenocarcinoma (LUAD), triggers a series of alterations in the immune landscape, progression, and clinical outcome of early‐stage LUAD. Our study was designed to unravel the effects of TP53 mutation on the immunophenotype of early‐stage LUAD and formulate a TP53‐associated immune prognostic model (IPM) that can estimate prognosis in early‐stage LUAD patients. MATERIALS AND METHODS: Immune‐associated differentially expressed genes (DEGs) between TP53 mutated (TP53(MUT)) and TP53 wild‐type (TP53(WT)) early‐stage LUAD were comprehensively analyzed. Univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis identified the prognostic immune‐associated DEGs. We constructed and validated an IPM based on the TCGA and a meta‐GEO composed of GSE72094, GSE42127, and GSE31210, respectively. The CIBERSORT algorithm was analyzed for assessing the percentage of immune cell types. A nomogram model was established for clinical application. RESULTS: TP53 mutation occurred in approximately 50.00% of LUAD patients, stimulating a weakened immune response in early‐stage LUAD. Sixty‐seven immune‐associated DEGs were determined between TP53(WT) and TP53(MUT) cohort. An IPM consisting of two prognostic immune‐associated DEGs (risk score = 0.098 * ENTPD2 expression + 0.168 * MIF expression) was developed through 397 cases in the TCGA and further validated based on 623 patients in a meta‐GEO. The IPM stratified patients into low or high risk of undesirable survival and was identified as an independent prognostic indicator in multivariate analysis (HR = 2.09, 95% CI: 1.43–3.06, p < 0.001). Increased expressions of PD‐L1, CTLA‐4, and TIGIT were revealed in the high‐risk group. Prognostic nomogram incorporating the IPM and other clinicopathological parameters (TNM stage and age) achieved optimal predictive accuracy and clinical utility. CONCLUSION: The IPM based on TP53 status is a reliable and robust immune signature to identify early‐stage LUAD patients with high risk of unfavorable survival. John Wiley and Sons Inc. 2020-12-12 /pmc/articles/PMC7897963/ /pubmed/33314730 http://dx.doi.org/10.1002/cam4.3655 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Wu, Chengde
Rao, Xiang
Lin, Wei
Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
title Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
title_full Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
title_fullStr Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
title_full_unstemmed Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
title_short Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
title_sort immune landscape and a promising immune prognostic model associated with tp53 in early‐stage lung adenocarcinoma
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897963/
https://www.ncbi.nlm.nih.gov/pubmed/33314730
http://dx.doi.org/10.1002/cam4.3655
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AT linwei immunelandscapeandapromisingimmuneprognosticmodelassociatedwithtp53inearlystagelungadenocarcinoma