Glioblastoma Molecular Classification Tool Based on mRNA Analysis: From Wet-Lab to Subtype.

ABSTRACT: Most glioblastoma studies incorporate the layer of tumor molecular subtype based on the four-subtype classification system proposed in 2010. Nevertheless, there is no universally recognized and convenient tool for glioblastoma molecular subtyping, and each study applies a different set of markers and/or approaches that cause inconsistencies in data comparability and reproducibility between studies. Thus, this study aimed to create an applicable user-friendly tool for glioblastoma classification, with high accuracy, while using a significantly smaller number of variables. The study incorporated a TCGA microarray, sequencing datasets, and an independent cohort of 56 glioblastomas (LUHS cohort). The models were constructed by applying the Agilent G4502 dataset, and they were tested using the

SUBMITTER: Steponaitis G 

PROVIDER: S-EPMC9784712 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature