AUTHOR=Xu Yang , Ye Liguo , Geng Rongxin , Hu Ping , Sun Qian , Tong Shiao , Yuan Fanen , Chen Qianxue 

TITLE=Development and Verification of the Amino Metabolism-Related and Immune-Associated Prognosis Signature in Gliomas

JOURNAL=Frontiers in Oncology

VOLUME=Volume 11 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2021.774332

DOI=10.3389/fonc.2021.774332

ISSN=2234-943X

ABSTRACT=Aberrant reprogramming of metabolism has been considered as a hallmark in various malignant tumors. The metabolic changes of amino acid not only have dramatic effects in cancer cells but also influence their immune-microenvironment in gliomas. However, the features of the amino acid metabolism-related and immune-associated gene set haven’t been systematically described.  The expression level of mRNA was obtained from TCGA database and CGGA database, which was used as training set and validation set respectively. Different bioinformatic and statistical methods were combined to construct a robust amino metabolism related and immune-associated risk signature for distinguishing prognosis and clinic-pathological features. Constructing the nomogram enhanced risk stratification and quantify risk assessment on the basis of our gene model. Besides, the biological mechanism related to the risk score was investigated by gene set enrichment analysis. Hub genes of risk signature were identified by PPI network. The amino acid metabolism-related and immune-associated gene signature recognized high-risk patients defined as an independent risk factor for overall survival. The nomogram exhibited high accuracy of predicting OS rate for glioma patients. Furthermore, high-risk score hinted immunosuppressive microenvironment and lower sensitivity of ICB therapy and also identified PSMC5 and PSMD3 as novel biomarkers in glioma. A novel amino acid metabolism-related and immune-associated risk signature for predicting prognosis in glioma has been constructed and identified two potential novel biomarkers.