Cilium Expression Score Predicts Glioma Survival

The accurate classification, prognostication, and treatment of gliomas has been hindered by an existing cellular, genomic, and transcriptomic heterogeneity within individual tumors and their microenvironments. Traditional clustering is limited in its ability to distinguish heterogeneity in gliomas b...

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Autores principales:	Srinivas Rajagopalan, Amartya Singh, Hossein Khiabanian
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	cilium glioma glioblastoma risk score survival gene expression Genetics QH426-470
Acceso en línea:	https://doaj.org/article/6efe812d7fff4548a775083519945027
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spelling	oai:doaj.org-article:6efe812d7fff4548a7750835199450272021-11-19T05:56:34ZCilium Expression Score Predicts Glioma Survival1664-802110.3389/fgene.2021.758391https://doaj.org/article/6efe812d7fff4548a7750835199450272021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.758391/fullhttps://doaj.org/toc/1664-8021The accurate classification, prognostication, and treatment of gliomas has been hindered by an existing cellular, genomic, and transcriptomic heterogeneity within individual tumors and their microenvironments. Traditional clustering is limited in its ability to distinguish heterogeneity in gliomas because the clusters are required to be exclusive and exhaustive. In contrast, biclustering can identify groups of co-regulated genes with respect to a subset of samples and vice versa. In this study, we analyzed 1,798 normal and tumor brain samples using an unsupervised biclustering approach. We identified co-regulated gene expression profiles that were linked to proximally located brain regions and detected upregulated genes in subsets of gliomas, associated with their histologic grade and clinical outcome. In particular, we present a cilium-associated signature that when upregulated in tumors is predictive of poor survival. We also introduce a risk score based on expression of 12 cilium-associated genes which is reproducibly informative of survival independent of other prognostic biomarkers. These results highlight the role of cilia in development and progression of gliomas and suggest potential therapeutic vulnerabilities for these highly aggressive tumors.Srinivas RajagopalanAmartya SinghHossein KhiabanianHossein KhiabanianFrontiers Media S.A.articleciliumgliomaglioblastomarisk scoresurvivalgene expressionGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cilium glioma glioblastoma risk score survival gene expression Genetics QH426-470
spellingShingle	cilium glioma glioblastoma risk score survival gene expression Genetics QH426-470 Srinivas Rajagopalan Amartya Singh Hossein Khiabanian Hossein Khiabanian Cilium Expression Score Predicts Glioma Survival
description	The accurate classification, prognostication, and treatment of gliomas has been hindered by an existing cellular, genomic, and transcriptomic heterogeneity within individual tumors and their microenvironments. Traditional clustering is limited in its ability to distinguish heterogeneity in gliomas because the clusters are required to be exclusive and exhaustive. In contrast, biclustering can identify groups of co-regulated genes with respect to a subset of samples and vice versa. In this study, we analyzed 1,798 normal and tumor brain samples using an unsupervised biclustering approach. We identified co-regulated gene expression profiles that were linked to proximally located brain regions and detected upregulated genes in subsets of gliomas, associated with their histologic grade and clinical outcome. In particular, we present a cilium-associated signature that when upregulated in tumors is predictive of poor survival. We also introduce a risk score based on expression of 12 cilium-associated genes which is reproducibly informative of survival independent of other prognostic biomarkers. These results highlight the role of cilia in development and progression of gliomas and suggest potential therapeutic vulnerabilities for these highly aggressive tumors.
format	article
author	Srinivas Rajagopalan Amartya Singh Hossein Khiabanian Hossein Khiabanian
author_facet	Srinivas Rajagopalan Amartya Singh Hossein Khiabanian Hossein Khiabanian
author_sort	Srinivas Rajagopalan
title	Cilium Expression Score Predicts Glioma Survival
title_short	Cilium Expression Score Predicts Glioma Survival
title_full	Cilium Expression Score Predicts Glioma Survival
title_fullStr	Cilium Expression Score Predicts Glioma Survival
title_full_unstemmed	Cilium Expression Score Predicts Glioma Survival
title_sort	cilium expression score predicts glioma survival
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/6efe812d7fff4548a775083519945027
work_keys_str_mv	AT srinivasrajagopalan ciliumexpressionscorepredictsgliomasurvival AT amartyasingh ciliumexpressionscorepredictsgliomasurvival AT hosseinkhiabanian ciliumexpressionscorepredictsgliomasurvival AT hosseinkhiabanian ciliumexpressionscorepredictsgliomasurvival
_version_	1718420319107022848

Cilium Expression Score Predicts Glioma Survival

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