biostudies-literaturePetralia FU.S. Department of EnergyNICHD NIH HHSNHLBI NIH HHSNINDS NIH HHSNCI NIH HHSNational Institutes of HealthNIGMS NIH HHS1962-1985.e31https://www.ebi.ac.uk/biostudies/studies/S-EPMC8143193biostudies-literatureUnknown183(7)We report a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA sequencing, and proteomics and phosphoproteomics profiling, of 218 tumors across 7 histological types of childhood brain cancer: low-grade glioma (n = 93), ependymoma (32), high-grade glioma (25), medulloblastoma (22), ganglioglioma (18), craniopharyngioma (16), and atypical teratoid rhabdoid tumor (12). Proteomics data identify common biological themes that span histological boundaries, suggesting that treatments used for one histological type may be applied effectively to other tumors sharing similar proteomics features. Immune landscape characterization reveals diverse tumor microenvironments across and within diagnoses. Proteomics data further reveal functional effects of somatic mutations and copCellIntegrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer.PMC8143193R50 CA211499P30 CA008748R01 NS085336U24 CA210967U24 CA210979R01 GM067945U24 CA210954U24 CA210955U24 CA210985U24 CA210972R01 NS091620U24 CA210993U2C HD109731U2C HL138346U01 CA214114Wyczalkowski MAGuo YRivero-Hinojosa SPatton TEnnis BMLilly JVRobles AIResnick ACMoore RJChen XSKinsinger CRBroberg MGuha Thakurta SKatsnelson LPalmer JNZhang BBecher OMonroe METeo GCPaulovich AGRodland KDConnors MHanson DFirestein RKoptyra MFarrow BRykunov DScagnet MStathias VGaonkar KSKrug KMueller SIvey RGNesvizhskii AIFenyo DYoung NKrek ACalinawan AZhu YSmith RDKram DERood BRSanti MReva BZhao LLopez GHiltke TSarmady MZhao RKalayci SPollack IFSchurer SLi MMStone GSWhiteaker JRChildren’s Brain Tumor NetworkWang JMBrown MAGumus ZHRuggles KVLober RMBoja ERaman PEdwards NJGritsenko MAVaske OMSchadt EEChinnaiyan AMZhu JViaene ANda Veiga Leprevost FBocik WEVitanza NAPartap SChu RKPhillips JJColaprico AWang LBWang PRaabe EHCain JEWang YGupta NLeary SWinebrake SGStorm PBBuccoliero AMWiznerowicz MAppert EGreenfield JPLi CFrancis ACornwell MLe TKawaler EAKetchum KAHeath APJackson EMGygi SPFoster JBClinical Proteomic Tumor Analysis ConsortiumCaporalini CDhanasekaran SMMoon JRokita JLPalma JECai SRodriguez HMason JLIavarone AGetz GChowdhury SOmelchenko TLiu TMcGarvey PBDing LGrant GMa WLiu WNazarian JBaubet VAdappa NDLeonard CAPetralia FTauhid LTignor NMani DRSong XMorgan AMVoytovich UJKennedy JJChang HYJi JDomagalski MJKline CNWaanders AJBlumenberg LPetyuk VAYoo SLorentzen TDEllis MJCieslik MPSzpyt JWeitz KKMesri MfalseIntegrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer.We report a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA sequencing, and proteomics and phosphoproteomics profiling, of 218 tumors across 7 histological types of childhood brain cancer: low-grade glioma (n = 93), ependymoma (32), high-grade glioma (25), medulloblastoma (22), ganglioglioma (18), craniopharyngioma (16), and atypical teratoid rhabdoid tumor (12). Proteomics data identify common biological themes that span histological boundaries, suggesting that treatments used for one histological type may be applied effectively to other tumors sharing similar proteomics features. Immune landscape characterization reveals diverse tumor microenvironments across and within diagnoses. Proteomics data further reveal functional effects of somatic mutations and cop2020-01-01T00:00:00Z2020 Dec2026-05-08T21:42:56.371Z2022-02-10T11:43:27.969ZS-EPMC81431933324242410.1016/j.cell.2020.10.044