Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas

Abstract Increasing evidence has indicated that senescent cells are associated with the glioma development. Thus, we aimed to explore the relationship between the cellular senescence gene profile and the clinical prognosis of diffuse glioma. In total, 699 gliomas from The Cancer Genome Atlas (TCGA)...

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Autores principales:	Yang Yang, Xin Chen, Jianjun Sun, Suhua Chen, Chenlong Yang, Qianquan Ma, Jun Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4981edee5ea64d19a972e1dd02089352
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spelling	oai:doaj.org-article:4981edee5ea64d19a972e1dd020893522021-12-02T19:16:54ZCell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas10.1038/s41598-021-98913-w2045-2322https://doaj.org/article/4981edee5ea64d19a972e1dd020893522021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98913-whttps://doaj.org/toc/2045-2322Abstract Increasing evidence has indicated that senescent cells are associated with the glioma development. Thus, we aimed to explore the relationship between the cellular senescence gene profile and the clinical prognosis of diffuse glioma. In total, 699 gliomas from The Cancer Genome Atlas (TCGA) dataset were used as the training cohort and 693 gliomas from the Chinese Glioma Genome Atlas (CGGA) dataset were used as the validation cohort. Bioinformatics statistical methods are used to develop the risk signature and to study the prognostic value of the risk signature. We identified a 14-gene risk signature and its risk score was an independent prognostic factor (P < 0.001) in the validation dataset. The risk signature had better prognostic value than traditional factors for the 3- and 5-year survival rate. Importantly, the risk signature could further stratify gliomas in specific subgroups of World Health Organization (WHO) classification by the survival rate. Furthermore, the mRNA levels of genes involved in the cell cycle, cell division and other processes were significantly correlated with the risk score. Our study highlighted a 14-gene risk signature for further stratifying the outcomes of patients with gliomas with definite WHO subgroups. These results indicate the potential clinical implications of cell aging-related genes in gliomas.Yang YangXin ChenJianjun SunSuhua ChenChenlong YangQianquan MaJun YangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yang Yang Xin Chen Jianjun Sun Suhua Chen Chenlong Yang Qianquan Ma Jun Yang Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas
description	Abstract Increasing evidence has indicated that senescent cells are associated with the glioma development. Thus, we aimed to explore the relationship between the cellular senescence gene profile and the clinical prognosis of diffuse glioma. In total, 699 gliomas from The Cancer Genome Atlas (TCGA) dataset were used as the training cohort and 693 gliomas from the Chinese Glioma Genome Atlas (CGGA) dataset were used as the validation cohort. Bioinformatics statistical methods are used to develop the risk signature and to study the prognostic value of the risk signature. We identified a 14-gene risk signature and its risk score was an independent prognostic factor (P < 0.001) in the validation dataset. The risk signature had better prognostic value than traditional factors for the 3- and 5-year survival rate. Importantly, the risk signature could further stratify gliomas in specific subgroups of World Health Organization (WHO) classification by the survival rate. Furthermore, the mRNA levels of genes involved in the cell cycle, cell division and other processes were significantly correlated with the risk score. Our study highlighted a 14-gene risk signature for further stratifying the outcomes of patients with gliomas with definite WHO subgroups. These results indicate the potential clinical implications of cell aging-related genes in gliomas.
format	article
author	Yang Yang Xin Chen Jianjun Sun Suhua Chen Chenlong Yang Qianquan Ma Jun Yang
author_facet	Yang Yang Xin Chen Jianjun Sun Suhua Chen Chenlong Yang Qianquan Ma Jun Yang
author_sort	Yang Yang
title	Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas
title_short	Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas
title_full	Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas
title_fullStr	Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas
title_full_unstemmed	Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas
title_sort	cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4981edee5ea64d19a972e1dd02089352
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_version_	1718376909630341120

Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas

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