TMOD-31. AN INFLAMMATION RESPONSE GENE SIGNATURE IS ASSOCIATED WITH PROGNOSIS OF GLIOMA PATIENTS WITH 1p/19q CO-DELETION TUMORS

Meta-analysis of glioma patients revealed that LOH of 1p/19q (IDH mutant-codel) is associated with favorable progression-free survival (PFS) and overall survival (OS). Heterogeneity in clinical outcomes exists within this subset of glioma. To determine transcriptional biomarkers associated with treatment response, we developed and independently validated a method to determine codel status using gene expression. We screened the transcriptional profiles from 1,828 gliomas to identify 333 cases predicted to harbor 1p/19 co-deletion. In order to identify a prognostic gene signature, we split this dataset into a training dataset (n=170) and a validation dataset (n=163) through random sampling. An elastic net penalized Cox’s proportional hazards model was applied to build a classifier model through cross validation within the training dataset. The performance of the gene signature was determined in the validation dataset, which showed that the gene signature was able to identify a high risk and a low risk subgroup with a significant difference in survival (p = 0.0065, Log-rank test). The predictive power of the gene signature using the concordance index was 0.65. For time to death events, the risk score predicted by the above genes signature yielded HR = 2.296 (95% confidence interval [CI] = 1.279 to 4.121) after adjustment for age and stratification for grade. Gene Set Variation Analysis revealed that inflammation response and acetylation activi...
Source: Neuro-Oncology - Category: Cancer & Oncology Authors: Tags: TUMOR MODELS Source Type: research