Prognostic signature of lung adenocarcinoma based on stem cell-related genes

Abstract Lung adenocarcinoma (LUAD) is characterized by high infiltration and rapid growth. The function of the stem cell population is to control and maintain cell regeneration. Therefore, it is necessary to study the prognostic value of stem cell-related genes in LUAD. Signature genes were screene...

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Autores principales:	Zhanghao Huang, Muqi Shi, Hao Zhou, Jinjie Wang, Hai-Jian Zhang, Jia -Hai Shi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7992e8314a2d45799027dee141343768
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spelling	oai:doaj.org-article:7992e8314a2d45799027dee1413437682021-12-02T10:49:16ZPrognostic signature of lung adenocarcinoma based on stem cell-related genes10.1038/s41598-020-80453-42045-2322https://doaj.org/article/7992e8314a2d45799027dee1413437682021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80453-4https://doaj.org/toc/2045-2322Abstract Lung adenocarcinoma (LUAD) is characterized by high infiltration and rapid growth. The function of the stem cell population is to control and maintain cell regeneration. Therefore, it is necessary to study the prognostic value of stem cell-related genes in LUAD. Signature genes were screened out from 166 stem cell-related genes according to the least absolute shrinkage operator (LASSO) and subsequently multivariate Cox regression analysis, and then established risk model. Immune infiltration and nomogram model were used to evaluate the clinical efficacy of signature. A signature consisting of 10 genes was used to dichotomize the LUAD patients into two groups (cutoff, 1.314), and then validated in GSE20319 and GSE42127. There was a significant correlation between signature and clinical characteristics. Patients with high-risk had a shorter overall survival. Furthermore, significant differences were found in multiple immune cells between the high-risk group and low-risk group. A high correlation was also reflected between signature and immune infiltration. What’s more, the signature could effectively predict the efficacy of chemotherapy in patients with LUAD, and a nomogram based on signature might accurately predict the prognosis of patients with LUAD. The signature-based of stem cell-related genes might be contributed to predicting prognosis of patients with LUAD.Zhanghao HuangMuqi ShiHao ZhouJinjie WangHai-Jian ZhangJia -Hai ShiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhanghao Huang Muqi Shi Hao Zhou Jinjie Wang Hai-Jian Zhang Jia -Hai Shi Prognostic signature of lung adenocarcinoma based on stem cell-related genes
description	Abstract Lung adenocarcinoma (LUAD) is characterized by high infiltration and rapid growth. The function of the stem cell population is to control and maintain cell regeneration. Therefore, it is necessary to study the prognostic value of stem cell-related genes in LUAD. Signature genes were screened out from 166 stem cell-related genes according to the least absolute shrinkage operator (LASSO) and subsequently multivariate Cox regression analysis, and then established risk model. Immune infiltration and nomogram model were used to evaluate the clinical efficacy of signature. A signature consisting of 10 genes was used to dichotomize the LUAD patients into two groups (cutoff, 1.314), and then validated in GSE20319 and GSE42127. There was a significant correlation between signature and clinical characteristics. Patients with high-risk had a shorter overall survival. Furthermore, significant differences were found in multiple immune cells between the high-risk group and low-risk group. A high correlation was also reflected between signature and immune infiltration. What’s more, the signature could effectively predict the efficacy of chemotherapy in patients with LUAD, and a nomogram based on signature might accurately predict the prognosis of patients with LUAD. The signature-based of stem cell-related genes might be contributed to predicting prognosis of patients with LUAD.
format	article
author	Zhanghao Huang Muqi Shi Hao Zhou Jinjie Wang Hai-Jian Zhang Jia -Hai Shi
author_facet	Zhanghao Huang Muqi Shi Hao Zhou Jinjie Wang Hai-Jian Zhang Jia -Hai Shi
author_sort	Zhanghao Huang
title	Prognostic signature of lung adenocarcinoma based on stem cell-related genes
title_short	Prognostic signature of lung adenocarcinoma based on stem cell-related genes
title_full	Prognostic signature of lung adenocarcinoma based on stem cell-related genes
title_fullStr	Prognostic signature of lung adenocarcinoma based on stem cell-related genes
title_full_unstemmed	Prognostic signature of lung adenocarcinoma based on stem cell-related genes
title_sort	prognostic signature of lung adenocarcinoma based on stem cell-related genes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7992e8314a2d45799027dee141343768
work_keys_str_mv	AT zhanghaohuang prognosticsignatureoflungadenocarcinomabasedonstemcellrelatedgenes AT muqishi prognosticsignatureoflungadenocarcinomabasedonstemcellrelatedgenes AT haozhou prognosticsignatureoflungadenocarcinomabasedonstemcellrelatedgenes AT jinjiewang prognosticsignatureoflungadenocarcinomabasedonstemcellrelatedgenes AT haijianzhang prognosticsignatureoflungadenocarcinomabasedonstemcellrelatedgenes AT jiahaishi prognosticsignatureoflungadenocarcinomabasedonstemcellrelatedgenes
_version_	1718396599426613248

Prognostic signature of lung adenocarcinoma based on stem cell-related genes

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