作者: Robin T. Varghese , Yanping Liang , Ting Guan , Christopher T. Franck , Deborah F. Kelly
关键词: Oncology 、 CDKL5 、 Cancer biomarkers 、 PI3K/AKT/mTOR pathway 、 Kinase 、 Internal medicine 、 CDCP1 、 CSNK1E 、 Medicine 、 Temozolomide 、 Brain tumor 、 Bioinformatics
摘要: Cancer biomarkers with a strong predictive power for diagnosis/prognosis and potential to be therapeutic targets have not yet been fully established. Here we employed loss-of-function screen in glioblastoma (GBM), an infiltrative brain tumor dismal prognosis, identified 20 survival kinase genes (SKGs). Survival analyses using The Genome Atlas (TCGA) datasets revealed that the expression of CDCP1, CDKL5, CSNK1E, IRAK3, LATS2, PRKAA1, STK3, TBRG4, ULK4 stratified GBM prognosis or without temozolomide (TMZ) treatment as covariate. For first time, found patients high level NEK9 PIK3CB had greater chance having recurrent tumors. IGF2R, PIK3CB, ULK4, VRK1 primary tumors was associated recurrence-related prognosis. Notably, much higher than newly diagnosed ones. Congruent these results, PI3K/AKT pathway showed significantly correlation recurrence rate, further highlighting pivotal role disease progression. Importantly, 17 SKGs together presented novel prognostic signature. herein are rate present significance GBM, thereby becoming attractive targets.