Construction of a Novel Anoikis-related Prognostic Model and Analysis of Its Correlation with Infiltration of Immune Cells in Neuroblastoma

Overview

Journal Front Immunol

Specialty Allergy & Immunology

Date 2023 Apr 21

PMID 37081871

Authors

Ji Chen

Mengjiao Sun

Chuqin Chen

Meiyun Kang

Bo Qian

Jing Sun

Xiaopeng Ma

Jianfeng Zhou

Lei Huang

Bin Jiang

Yongjun Fang

Affiliations

Soon will be listed here.

Abstract

Background: Anoikis resistance (AR) plays an important role in the process of metastasis, which is an important factor affecting the risk stage of neuroblastoma (NB). This study aims to construct an anoikis-related prognostic model and analyze the characteristics of hub genes, important pathways and tumor microenvironment of anoikis-related subtypes of NB, so as to provide help for the clinical diagnosis, treatment and research of NB.

Methods: We combined transcriptome data of GSE49710 and E-MTAB-8248, screened anoikis-related genes (Args) closely related to the prognosis of NB by univariate cox regression analysis, and divided the samples into anoikis-related subtypes by consistent cluster analysis. WGCNA was used to screen hub genes, GSVA and GSEA were used to analyze the differentially enriched pathways between anoikis-related subtypes. We analyzed the infiltration levels of immune cells between different groups by SsGSEA and CIBERSORT. Lasso and multivariate regression analyses were used to construct a prognostic model. Finally, we analyzed drug sensitivity through the GDSC database.

Results: 721 cases and 283 Args were included in this study. All samples were grouped into two subtypes with different prognoses. The analyses of WGCNA, GSVA and GSEA suggested the existence of differentially expressed hub genes and important pathways in the two subtypes. We further constructed an anoikis-related prognostic model, in which 15 Args participated. This model had more advantages in evaluating the prognoses of NB than other commonly used clinical indicators. The infiltration levels of 9 immune cells were significantly different between different risk groups, and 13 Args involved in the model construction were correlated with the infiltration levels of immune cells. There was a relationship between the infiltration levels of 6 immune cells and riskscores. Finally, we screened 15 drugs with more obvious effects on NB in high-risk group.

Conclusion: There are two anoikis-related subtypes with different prognoses in the population of NB. The anoikis-related prognostic model constructed in this study can accurately predict the prognoses of children with NB, and has a good guiding significance for clinical diagnosis, treatment and research of NB.

Citing Articles

Anoikis in cell fate, physiopathology, and therapeutic interventions.

Mei J, Jiang X, Tian H, Rong D, Song J, Wang L MedComm (2020). 2024; 5(10):e718.

PMID: 39286778 PMC: 11401975. DOI: 10.1002/mco2.718.

Bioinformatics reveals the potential mechanisms and biomarkers of necroptosis in neuroblastoma.

Gao B, Yan S, Xie W, Shao G Transl Cancer Res. 2024; 13(7):3599-3619.

PMID: 39145050 PMC: 11319990. DOI: 10.21037/tcr-24-14.

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