Transcriptional signatures in histologic structures within glioblastoma tumors may predict personalized drug sensitivity and survival.

ABSTRACT:

Background

Glioblastoma is a rapidly fatal brain cancer that exhibits extensive intra- and intertumoral heterogeneity. Improving survival will require the development of personalized treatment strategies that can stratify tumors into subtypes that differ in therapeutic vulnerability and outcomes. Glioblastoma stratification has been hampered by intratumoral heterogeneity, limiting our ability to compare tumors in a consistent manner. Here, we develop methods that mitigate the impact of intratumoral heterogeneity on transcriptomic-based patient stratification.

Methods

We accessed open-source transcriptional profiles of histological structures from 34 human glioblastomas from the Ivy Glioblastoma Atlas Project. Principal component and correlation network analyses were performe

SUBMITTER: Kersch CN 

PROVIDER: S-EPMC7462280 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature