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Integrated pharmaco-proteogenomics defines two subgroups in isocitrate dehydrogenase wild-type glioblastoma with prognostic and therapeutic opportunities.

Sejin OhJeonghun YeomHee Jin ChoJu-Hwa KimSeon Jin YoonHakhyun KimJason K SaShinyeong JuHwanho LeeMyung Joon OhWonyeop LeeYumi KwonHonglan LiSeunghyuk ChoiJang Hee HanJong Hee ChangEunsuk ChoiJayeon KimNam-Gu HerSe-Hoon KimSeok-Gu KangEunok PaekDo-Hyun NamCheolju LeeHyun Seok Kim
Published in: Nature communications (2020)
The prognostic and therapeutic relevance of molecular subtypes for the most aggressive isocitrate dehydrogenase 1/2 (IDH) wild-type glioblastoma (GBM) is currently limited due to high molecular heterogeneity of the tumors that impedes patient stratification. Here, we describe a distinct binary classification of IDH wild-type GBM tumors derived from a quantitative proteomic analysis of 39 IDH wild-type GBMs as well as IDH mutant and low-grade glioma controls. Specifically, GBM proteomic cluster 1 (GPC1) tumors exhibit Warburg-like features, neural stem-cell markers, immune checkpoint ligands, and a poor prognostic biomarker, FKBP prolyl isomerase 9 (FKBP9). Meanwhile, GPC2 tumors show elevated oxidative phosphorylation-related proteins, differentiated oligodendrocyte and astrocyte markers, and a favorable prognostic biomarker, phosphoglycerate dehydrogenase (PHGDH). Integrating these proteomic features with the pharmacological profiles of matched patient-derived cells (PDCs) reveals that the mTORC1/2 dual inhibitor AZD2014 is cytotoxic to the poor prognostic PDCs. Our analyses will guide GBM prognosis and precision treatment strategies.
Keyphrases
  • wild type
  • low grade
  • stem cells
  • high grade
  • machine learning
  • induced apoptosis
  • case report
  • label free
  • bone marrow
  • endoplasmic reticulum stress