Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes

Objective: We aimed to construct a novel prognostic model based on N6-methyladenosine (m6A)-related autophagy genes for predicting the prognosis of lung squamous cell carcinoma (LUSC). Methods: Gene expression profiles and clinical information of Patients with LUSC were downloaded from The Canc...

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Autores principales:	Xin Yu, Jun Liu, Ruiwen Xie, Mengling Chang, Bichun Xu, Yangqing Zhu, Yuancai Xie, Shengli Yang
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	n6-methyladenosine autophagy prognostic model lung squamous cell carcinoma Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/832976297dbd44e5ac698998698fab23
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spelling	oai:doaj.org-article:832976297dbd44e5ac698998698fab232021-11-12T01:44:27ZConstruction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes10.3934/mbe.20213331551-0018https://doaj.org/article/832976297dbd44e5ac698998698fab232021-08-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021333?viewType=HTMLhttps://doaj.org/toc/1551-0018Objective: We aimed to construct a novel prognostic model based on N6-methyladenosine (m6A)-related autophagy genes for predicting the prognosis of lung squamous cell carcinoma (LUSC). Methods: Gene expression profiles and clinical information of Patients with LUSC were downloaded from The Cancer Genome Atlas (TCGA) database. In addition, m6A- and autophagy-related gene profiles were obtained from TCGA and Human Autophagy Database, respectively. Pearson correlation analysis was performed to identify the m6A-related autophagy genes, and univariate Cox regression analysis was conducted to screen for genes associated with prognosis. Based on these genes, LASSO Cox regression analysis was used to construct a prognostic model. The corresponding prognostic score (PS) was calculated, and patients with LUSC were assigned to low- and high-risk groups according to the median PS value. An independent dataset (GSE37745) was used to validate the prognostic ability of the model. CIBERSORT was used to calculate the differences in immune cell infiltration between the high- and low-risk groups. Results: Seven m6A-related autophagy genes were screened to construct a prognostic model: CASP4, CDKN1A, DLC1, ITGB1, PINK1, TP63, and EIF4EBP1. In the training and validation sets, patients in the high-risk group had worse survival times than those in the low-risk group; the areas under the receiver operating characteristic curves were 0.958 and 0.759, respectively. There were differences in m6A levels and immune cell infiltration between the high- and low-risk groups. Conclusions: Our prognostic model of the seven m6A-related autophagy genes had significant predictive value for LUSC; thus, these genes may serve as autophagy-related therapeutic targets in clinical practice.Xin YuJun Liu Ruiwen Xie Mengling ChangBichun XuYangqing ZhuYuancai XieShengli YangAIMS Pressarticlen6-methyladenosineautophagyprognostic modellung squamous cell carcinomaBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6709-6723 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	n6-methyladenosine autophagy prognostic model lung squamous cell carcinoma Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	n6-methyladenosine autophagy prognostic model lung squamous cell carcinoma Biotechnology TP248.13-248.65 Mathematics QA1-939 Xin Yu Jun Liu Ruiwen Xie Mengling Chang Bichun Xu Yangqing Zhu Yuancai Xie Shengli Yang Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes
description	Objective: We aimed to construct a novel prognostic model based on N6-methyladenosine (m6A)-related autophagy genes for predicting the prognosis of lung squamous cell carcinoma (LUSC). Methods: Gene expression profiles and clinical information of Patients with LUSC were downloaded from The Cancer Genome Atlas (TCGA) database. In addition, m6A- and autophagy-related gene profiles were obtained from TCGA and Human Autophagy Database, respectively. Pearson correlation analysis was performed to identify the m6A-related autophagy genes, and univariate Cox regression analysis was conducted to screen for genes associated with prognosis. Based on these genes, LASSO Cox regression analysis was used to construct a prognostic model. The corresponding prognostic score (PS) was calculated, and patients with LUSC were assigned to low- and high-risk groups according to the median PS value. An independent dataset (GSE37745) was used to validate the prognostic ability of the model. CIBERSORT was used to calculate the differences in immune cell infiltration between the high- and low-risk groups. Results: Seven m6A-related autophagy genes were screened to construct a prognostic model: CASP4, CDKN1A, DLC1, ITGB1, PINK1, TP63, and EIF4EBP1. In the training and validation sets, patients in the high-risk group had worse survival times than those in the low-risk group; the areas under the receiver operating characteristic curves were 0.958 and 0.759, respectively. There were differences in m6A levels and immune cell infiltration between the high- and low-risk groups. Conclusions: Our prognostic model of the seven m6A-related autophagy genes had significant predictive value for LUSC; thus, these genes may serve as autophagy-related therapeutic targets in clinical practice.
format	article
author	Xin Yu Jun Liu Ruiwen Xie Mengling Chang Bichun Xu Yangqing Zhu Yuancai Xie Shengli Yang
author_facet	Xin Yu Jun Liu Ruiwen Xie Mengling Chang Bichun Xu Yangqing Zhu Yuancai Xie Shengli Yang
author_sort	Xin Yu
title	Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes
title_short	Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes
title_full	Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes
title_fullStr	Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes
title_full_unstemmed	Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes
title_sort	construction of a prognostic model for lung squamous cell carcinoma based on seven n6-methylandenosine-related autophagy genes
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/832976297dbd44e5ac698998698fab23
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Construction of a prognostic model for lung squamous cell carcinoma based on seven N6-methylandenosine-related autophagy genes

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