Topographic mapping of the glioblastoma proteome reveals a triple-axis model of intra-tumoral heterogeneity.

ABSTRACT: Glioblastoma is an aggressive form of brain cancer with well-established patterns of intra-tumoral heterogeneity implicated in treatment resistance and progression. While regional and single cell transcriptomic variations of glioblastoma have been recently resolved, downstream phenotype-level proteomic programs have yet to be assigned across glioblastoma's hallmark histomorphologic niches. Here, we leverage mass spectrometry to spatially align abundance levels of 4,794 proteins to distinct histologic patterns across 20 patients and propose diverse molecular programs operational within these regional tumor compartments. Using machine learning, we overlay concordant transcriptional information, and define two distinct proteogenomic programs, MYC- and KRAS-axis hereon, that cooperate with hyp

SUBMITTER: Lam KHB 

PROVIDER: S-EPMC8748638 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature