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Cellular components in tumor microenvironment of neuroblastoma and the prognostic value

Tumor microenvironment (TME) contributes to tumor development, progression, and treatment response. In this study, we detailed the cell composition of the TME in neuroblastoma (NB) and constructed a cell risk score model to predict the prognosis of NB. xCell score was calculated through transcriptom...

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Published in:PeerJ (San Francisco, CA) CA), 2019-12, Vol.7, p.e8017-e8017, Article e8017
Main Authors: Zhong, Xiaodan, Zhang, Yutong, Wang, Linyu, Zhang, Hao, Liu, Haiming, Liu, Yuanning
Format: Article
Language:English
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Summary:Tumor microenvironment (TME) contributes to tumor development, progression, and treatment response. In this study, we detailed the cell composition of the TME in neuroblastoma (NB) and constructed a cell risk score model to predict the prognosis of NB. xCell score was calculated through transcriptomic data from the datasets GSE49711 and GSE45480 based on the xCell algorithm. The random forest method was employed to select important features and the coefficient was obtained via multivariate cox regression analysis to construct a prognostic model, and the performance was validated in another two independent datasets, GSE16476 and TARGET-NBL. We found that both immune and non-immune cells varies significantly in different prognostic groups, and were correlated with survival time. The proposed prognostic cell risk score (pCRS) model we constructed can be an independent prognostic indicator for overall survival (OS) and event-free survival (EFS) (training: OS, HR 1.579, EFS, HR 1.563; validation: OS, HR 1.665, 3.848, EFS, HR 2.203, all -values 
ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.8017