TY - JOUR T1 - Comprehensive molecular characterization of <em>PRKCG</em> for glioma diagnosis, prognosis and treatment prediction JF - bioRxiv DO - 10.1101/798785 SP - 798785 AU - Lin Liu AU - Guangyu Wang AU - Liguo Wang AU - Chunlei Yu AU - Mengwei Li AU - Shuhui Song AU - Lili Hao AU - Lina Ma AU - Zhang Zhang Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/10/09/798785.abstract N2 - To explore glioma biomarkers with high specificity, enable non-invasive detection and possess clinical significance, we perform large-scale integrative analyses on multi-omics multi-cohort datasets collected from public resources. We identify PRKCG as a brain-specific gene that is highly expressed in cerebrospinal fluid, thus achieving higher specificity and detectability in the periphery. Importantly, PRKCG bears great potential in clinical application for glioma diagnosis, prognosis, and treatment prediction, which have been consistently testified on a number of independent discovery and validation datasets consisting of multi-omics molecular profiles and different ethnic populations/countries. Based on the comprehensive characterization of multi-omics molecular profiles, our findings suggest the reliability and potential application of PRKCG as a biomarker for glioma.Significance Glioma is one of the most lethal human malignancies and exhibits low resection rate and high recurrence risk. Powered by high-throughput sequencing technologies, the public availability of vast amounts of multi-omics molecular datasets provides unprecedented opportunities to identify effective biomarkers for glioma. Here, we assemble a large-scale collection of multi-omics multi-cohort glioma datasets from public resources. Our integrative molecular analyses reveal that PRKCG achieves higher specificity and detectability in the periphery and bears the significant potential in glioma diagnosis, prognosis and treatment prediction as testified on different datasets. Our study features comprehensive molecular characterization of PRKCG in glioma and highlights the value of integrative multi-omics data analysis toward accurate therapeutic strategies and precision healthcare in the era of big data. ER -