Abstract
Background: Although the prognosis of low-grade glioma (LGG) is better than that of glioblastoma (GBM), there are still some patients who will develop into high-grade glioma. Integrated stress response contributed to the malignant transformation of tumor. As there is few research focus on the integrated stress status in LGG, it is urgent to profile and re-classify LGG based on integrated stress response (ISR). Methods: Glioma patients were obtained from the Chinese Glioma Genome Atlas ( the Cancer Genome Atlas (TCGA) and GSE16011 cohorts. Statistical 8 analyses were conducted by GraphPad Prism and R language. Results: We quantified four types of integrated stress response respectively. The relationship between the four stress states and the clinical characteristics of LGG was analyzed. Then we re-classified the patients based on these four scores, we found that cluster 1 had the worst prognosis, whereby cluster 3 had the best prognosis. We also established an accurate ISR risk signature to predicting cluster 1. We found that immune response and suppressive immune cell components were more enriched in the high-risk group. We also profiled the genomic difference between low and high risk groups, including the non-missense mutation of drivel genes and the condition of copy number variation (CNV). Conclusion: LGG patients could be divided into four clusters based on the integrated stress status, cluster 1 exhibited malignant transformation trends. ISR signature could reflect the traits of cluster 1 well, high ISR score indicated worse prognosis and enriched inhibitory immune microenvironments.
RTHP-31. LOW GRADE GLIOMA MALIGNANT TRANSFORMATION (MT): CLINICAL OUTCOMES AND PROGNOSTIC FACTORS IN TEMOZOLOMIDE ERA
