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Proteogenomic and metabolomic characterization of human glioblastoma.

Authors :
Wang LB
Karpova A
Gritsenko MA
Kyle JE
Cao S
Li Y
Rykunov D
Colaprico A
Rothstein JH
Hong R
Stathias V
Cornwell M
Petralia F
Wu Y
Reva B
Krug K
Pugliese P
Kawaler E
Olsen LK
Liang WW
Song X
Dou Y
Wendl MC
Caravan W
Liu W
Cui Zhou D
Ji J
Tsai CF
Petyuk VA
Moon J
Ma W
Chu RK
Weitz KK
Moore RJ
Monroe ME
Zhao R
Yang X
Yoo S
Krek A
Demopoulos A
Zhu H
Wyczalkowski MA
McMichael JF
Henderson BL
Lindgren CM
Boekweg H
Lu S
Baral J
Yao L
Stratton KG
Bramer LM
Zink E
Couvillion SP
Bloodsworth KJ
Satpathy S
Sieh W
Boca SM
Schürer S
Chen F
Wiznerowicz M
Ketchum KA
Boja ES
Kinsinger CR
Robles AI
Hiltke T
Thiagarajan M
Nesvizhskii AI
Zhang B
Mani DR
Ceccarelli M
Chen XS
Cottingham SL
Li QK
Kim AH
Fenyö D
Ruggles KV
Rodriguez H
Mesri M
Payne SH
Resnick AC
Wang P
Smith RD
Iavarone A
Chheda MG
Barnholtz-Sloan JS
Rodland KD
Liu T
Ding L
Source :
Cancer cell [Cancer Cell] 2021 Apr 12; Vol. 39 (4), pp. 509-528.e20. Date of Electronic Publication: 2021 Feb 11.
Publication Year :
2021

Abstract

Glioblastoma (GBM) is the most aggressive nervous system cancer. Understanding its molecular pathogenesis is crucial to improving diagnosis and treatment. Integrated analysis of genomic, proteomic, post-translational modification and metabolomic data on 99 treatment-naive GBMs provides insights to GBM biology. We identify key phosphorylation events (e.g., phosphorylated PTPN11 and PLCG1) as potential switches mediating oncogenic pathway activation, as well as potential targets for EGFR-, TP53-, and RB1-altered tumors. Immune subtypes with distinct immune cell types are discovered using bulk omics methodologies, validated by snRNA-seq, and correlated with specific expression and histone acetylation patterns. Histone H2B acetylation in classical-like and immune-low GBM is driven largely by BRDs, CREBBP, and EP300. Integrated metabolomic and proteomic data identify specific lipid distributions across subtypes and distinct global metabolic changes in IDH-mutated tumors. This work highlights biological relationships that could contribute to stratification of GBM patients for more effective treatment.<br />Competing Interests: Declaration of interests S.Y. is employed by Sema4. A.H.K. consults for Monteris Medical. P.W. is a statistical consultant for Sema4. M.G.C. receives research support from Orbus Therapeutics and NeoimmuneTech Inc, and royalties from UpToDate.<br /> (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1878-3686
Volume :
39
Issue :
4
Database :
MEDLINE
Journal :
Cancer cell
Publication Type :
Academic Journal
Accession number :
33577785
Full Text :
https://doi.org/10.1016/j.ccell.2021.01.006