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Dataset Information

A novel chemokine-based signature for prediction of prognosis and therapeutic response in glioma.


ABSTRACT:

Aims

Gliomas are the primary malignant brain tumor and characterized as the striking cellular heterogeneity and intricate tumor microenvironment (TME), where chemokines regulate immune cell trafficking by shaping local networks. This study aimed to construct a chemokine-based gene signature to evaluate the prognosis and therapeutic response in glioma.

Methods

In this study, 1024 patients (699 from TCGA and 325 from CGGA database) with clinicopathological information and mRNA sequencing data were enrolled. A chemokine gene signature was constructed by combining LASSO and SVM-RFE algorithm. GO, KEGG, and GSVA analyses were performed for function annotations of the chemokine signature. Candidate mRNAs were subsequently verified through qRT-PCR in an independent cohort including

SUBMITTER: Fan W 

PROVIDER: S-EPMC9627384 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature