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Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma

The transient receptor potential (TRP) channel is a type of channel protein widely distributed in peripheral and central nervous systems. Genes encoding TRP can be regulated by natural aromatic substances and serve as a therapeutic target for many diseases. However, the role of TRP-related genes in...

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Autores principales: He, Min, Wu, Gujie, Wang, Ziheng, Ren, Kuan, Yang, Zheng, Xue, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521679/
https://www.ncbi.nlm.nih.gov/pubmed/36186485
http://dx.doi.org/10.3389/fgene.2022.905650
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author He, Min
Wu, Gujie
Wang, Ziheng
Ren, Kuan
Yang, Zheng
Xue, Qun
author_facet He, Min
Wu, Gujie
Wang, Ziheng
Ren, Kuan
Yang, Zheng
Xue, Qun
author_sort He, Min
collection PubMed
description The transient receptor potential (TRP) channel is a type of channel protein widely distributed in peripheral and central nervous systems. Genes encoding TRP can be regulated by natural aromatic substances and serve as a therapeutic target for many diseases. However, the role of TRP-related genes in lung adenocarcinoma (LUAD) remains unclear. In this study, we used data from TCGA to screen and identify 17 TRP-related genes that are differentially expressed between LUAD and normal lung tissues. Based on these differentially expressed genes (DEGs), we classified all patients with LUAD into two subtypes. Significant differences in prognosis, clinical features, and immune cell infiltration characteristics were observed between the two subtypes. Subsequently, a prognostic signature with 12 genes was established by applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, and all patients with LUAD were classified into low- and high-risk groups. Patients with LUAD in the low-risk group had a significantly longer survival time than those in the high-risk group (p < 0.001), which was confirmed by LUAD data from the GSE72094 and GSE68571 validation datasets. Combined with clinical characteristics, the risk score was found to be an independent predictor of overall survival (OS) in patients with LUAD. Additionally, patients with high TRP scores exhibited poorer clinical characteristics and immune status while showing a sensitive response to chemotherapeutic agents. In conclusion, the TRP score is a promising biomarker for determining the prognosis, molecular subtype, tumor microenvironment, and guiding personalized treatment in patients with LUAD.
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spelling pubmed-95216792022-09-30 Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma He, Min Wu, Gujie Wang, Ziheng Ren, Kuan Yang, Zheng Xue, Qun Front Genet Genetics The transient receptor potential (TRP) channel is a type of channel protein widely distributed in peripheral and central nervous systems. Genes encoding TRP can be regulated by natural aromatic substances and serve as a therapeutic target for many diseases. However, the role of TRP-related genes in lung adenocarcinoma (LUAD) remains unclear. In this study, we used data from TCGA to screen and identify 17 TRP-related genes that are differentially expressed between LUAD and normal lung tissues. Based on these differentially expressed genes (DEGs), we classified all patients with LUAD into two subtypes. Significant differences in prognosis, clinical features, and immune cell infiltration characteristics were observed between the two subtypes. Subsequently, a prognostic signature with 12 genes was established by applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, and all patients with LUAD were classified into low- and high-risk groups. Patients with LUAD in the low-risk group had a significantly longer survival time than those in the high-risk group (p < 0.001), which was confirmed by LUAD data from the GSE72094 and GSE68571 validation datasets. Combined with clinical characteristics, the risk score was found to be an independent predictor of overall survival (OS) in patients with LUAD. Additionally, patients with high TRP scores exhibited poorer clinical characteristics and immune status while showing a sensitive response to chemotherapeutic agents. In conclusion, the TRP score is a promising biomarker for determining the prognosis, molecular subtype, tumor microenvironment, and guiding personalized treatment in patients with LUAD. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9521679/ /pubmed/36186485 http://dx.doi.org/10.3389/fgene.2022.905650 Text en Copyright © 2022 He, Wu, Wang, Ren, Yang and Xue. 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
He, Min
Wu, Gujie
Wang, Ziheng
Ren, Kuan
Yang, Zheng
Xue, Qun
Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma
title Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma
title_full Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma
title_fullStr Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma
title_full_unstemmed Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma
title_short Development and validation of a TRP-related gene signature for overall survival prediction in lung adenocarcinoma
title_sort development and validation of a trp-related gene signature for overall survival prediction in lung adenocarcinoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521679/
https://www.ncbi.nlm.nih.gov/pubmed/36186485
http://dx.doi.org/10.3389/fgene.2022.905650
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