已发表论文

II/III 级胶质瘤免疫相关基因对特征的开发和验证

 

Authors Zhang X, Ping S , Wang A, Li C, Zhang R , Song Z, Gao C, Wang F

Received 19 August 2021

Accepted for publication 8 November 2021

Published 23 November 2021 Volume 2021:14 Pages 8611—8620

DOI https://doi.org/10.2147/IJGM.S335052

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Editor who approved publication: Dr Scott Fraser

Background: Gliomas are prevalent primary intracerebral malignant tumors. Increasing evidence indicates an association between the immune signature and Grade II/III glioma prognosis. Thus, we aimed to develop an immune-related gene pair (IRGP) signature that can be used as a prognostic tool in Grade II/III glioma.
Methods: The gene expression levels and clinical information of Grade II/III glioma patients were collected from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases. The TCGA data were randomly divided into a training cohort (n = 249) and a validation cohort (n = 162), and a CGGA dataset served as an external validation group (n = 605). IRGPs significantly associated with prognosis were selected by Cox regression. Gene set enrichment analysis and filtration were performed with the IRGPs.
Results: Within a set of 1991 immune genes, 8 IRGPs including 15 unique genes that significantly affect survival constituted a gene signature. In the validation datasets, the IRGP signature significantly stratified patients with Grade II/III glioma into low- and high-risk groups (< 0.001), and the IRGP index was found to be an independent prognostic factor through univariate and multivariate analyses (< 0.05). Additionally, 26 functional pathways were identified through the intersection of Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) enrichment analysis.
Conclusion: The IRGP signature demonstrated good prognostic value for Grade II/III gliomas, which may provide new insights into individual treatment for glioma patients. The IRGPs might function through the identified 26 functional pathways.
Keywords: glioma, prognosis, immune-related gene pairs, TCGA, CGGA