Glioma are the most common malignant central nervous system tumor and are characterized by uncontrolled proliferation and resistance to therapy. Dysregulation of S100 proteins may augment tumor initiation, proliferation, and metastasis by modulating immune response. However, the comprehensive function and prognostic value of S100 proteins in glioma remain unclear. Here, we explored the expression profiles of 17 S100 family genes and constructed a high-efficient prediction model for glioma based on CGGA and TCGA datasets. Immune landscape analysis displayed that the distribution of immune scores, ESTIMATE scores, and stromal scores, as well as infiltrating immune cells (macrophages M0/M1/M2, T cell CD4+ naïve, Tregs, monocyte, neutrophil, and NK activated), were significant different between risk-score subgroups. Overall, we demonstrated the value of S100 protein-related signature in the prediction of glioma patients' prognosis and determined its relationship with the tumor microenvironment (TME) in glioma.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113871PMC
http://dx.doi.org/10.1155/2022/4968555DOI Listing

Publication Analysis

Top Keywords

tumor microenvironment
8
s100 proteins
8
glioma
6
alarm signal
4
signal s100-related
4
s100-related signature
4
signature correlated
4
tumor
4
correlated tumor
4
microenvironment predicts
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!