TAMI-44. ASSOCIATION OF CIRCADIAN CLOCK GENE EXPRESSION WITH GLIOMA TUMOR MICROENVIRONMENT AND PATIENT SURVIVAL

Abstract

Abstract Circadian clock genes have been linked to differences in clinical outcomes in cancer, including gliomas. However, these studies have not accounted for established prognostic markers, including mutations in Isocitrate Dehydrogenase (IDH). To study the connection between circadian clock genes and glioma outcomes while accounting for IDH mutational status, we analyzed multiple publicly available gene expression datasets. Unsupervised clustering of 13 clock gene transcriptomic signatures from The Cancer Genome Atlas resulted in four distinct transcriptomic clusters, two clusters were enriched for IDH mutant (Circadian 1-2) and the others for IDH wild-type gliomas (Circadian 3-4). Within these clusters we observed differential prognosis of the patients by Kaplan–Meier analysis (Circadian 1-2, p=0.0001; Circadian 3-4, p=0.0002) suggesting that these transcriptomic circadian subtypes might reflect different disease states. Further analyses using Cox Proportional Hazards Regression showed that lower Period (PER) gene expression was associated with worse prognosis (increasing PER expression HR=0.655, p=0.007) independent of IDH wild-type status (HR=5.312, p< 0.001) and increasing age (HR = 1.04, p< 0.001). Lower PER expression was associated with enrichment of a number of immune signaling pathways. These findings prompted the exploration of the relationship between microenvironment and clock genes using the Ivy GAP dataset to explore tumor location-specific differences and single cell RNA sequencing data from Darmanis (accession: GSE84465) to explore cell-specific differences. Circadian clock genes were found to be differentially expressed across anatomical tumor locations and cell types, including microglia. In ongoing studies we are examining the role of the microenvironment and PER2 expression on tumor growth by disrupting PER2 expression in tumor cells and microglia using IDH mutant and wild-type in vitro models. Clock gene expression is a potential prognostic biomarker in glioma and further studies to elucidate the importance of circadian rhythms in other cell types beyond the tumor are warranted.