Cellular components in tumor microenvironment of neuroblastoma and the prognostic value.

ABSTRACT:

Background

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.

Methods

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.

Results

We found that both immune and non-immune cells varies significantly in different prognostic groups, and

SUBMITTER: Zhong X 

PROVIDER: S-EPMC6910112 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature