Cited 57 times in
Integrated pharmaco-proteogenomics defines two subgroups in isocitrate dehydrogenase wild-type glioblastoma with prognostic and therapeutic opportunities
DC Field | Value | Language |
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dc.contributor.author | 김현석 | - |
dc.contributor.author | 한장희 | - |
dc.contributor.author | 오세진 | - |
dc.contributor.author | 강석구 | - |
dc.contributor.author | 장종희 | - |
dc.contributor.author | 김세훈 | - |
dc.contributor.author | 윤선진 | - |
dc.date.accessioned | 2020-09-29T01:17:18Z | - |
dc.date.available | 2020-09-29T01:17:18Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/179465 | - |
dc.description.abstract | 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. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Nature Pub. Group | - |
dc.relation.isPartOf | NATURE COMMUNICATIONS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Benzamides / pharmacology | - |
dc.subject.MESH | Biomarkers, Tumor / genetics | - |
dc.subject.MESH | Biomarkers, Tumor / metabolism* | - |
dc.subject.MESH | Brain Neoplasms / genetics | - |
dc.subject.MESH | Brain Neoplasms / metabolism* | - |
dc.subject.MESH | Brain Neoplasms / therapy | - |
dc.subject.MESH | Cell Line, Tumor | - |
dc.subject.MESH | Cell Survival / drug effects | - |
dc.subject.MESH | Cell Survival / genetics | - |
dc.subject.MESH | Glioblastoma / genetics | - |
dc.subject.MESH | Glioblastoma / metabolism* | - |
dc.subject.MESH | Glioblastoma / therapy | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Isocitrate Dehydrogenase / classification | - |
dc.subject.MESH | Isocitrate Dehydrogenase / genetics* | - |
dc.subject.MESH | Isocitrate Dehydrogenase / metabolism | - |
dc.subject.MESH | Kaplan-Meier Estimate | - |
dc.subject.MESH | Mechanistic Target of Rapamycin Complex 1 / antagonists & inhibitors | - |
dc.subject.MESH | Mechanistic Target of Rapamycin Complex 1 / metabolism | - |
dc.subject.MESH | Mechanistic Target of Rapamycin Complex 2 / antagonists & inhibitors | - |
dc.subject.MESH | Mechanistic Target of Rapamycin Complex 2 / metabolism | - |
dc.subject.MESH | Morpholines / pharmacology | - |
dc.subject.MESH | Mutation | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Protein Kinase Inhibitors / pharmacology | - |
dc.subject.MESH | Proteogenomics / methods* | - |
dc.subject.MESH | Proteomics / methods* | - |
dc.subject.MESH | Pyrimidines / pharmacology | - |
dc.title | Integrated pharmaco-proteogenomics defines two subgroups in isocitrate dehydrogenase wild-type glioblastoma with prognostic and therapeutic opportunities | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | BioMedical Science Institute (의생명과학부) | - |
dc.contributor.googleauthor | Sejin Oh | - |
dc.contributor.googleauthor | Jeonghun Yeom | - |
dc.contributor.googleauthor | Hee Jin Cho | - |
dc.contributor.googleauthor | Ju-Hwa Kim | - |
dc.contributor.googleauthor | Seon-Jin Yoon | - |
dc.contributor.googleauthor | Hakhyun Kim | - |
dc.contributor.googleauthor | Jason K Sa | - |
dc.contributor.googleauthor | Shinyeong Ju | - |
dc.contributor.googleauthor | Hwanho Lee | - |
dc.contributor.googleauthor | Myung Joon Oh | - |
dc.contributor.googleauthor | Wonyeop Lee | - |
dc.contributor.googleauthor | Yumi Kwon | - |
dc.contributor.googleauthor | Honglan Li | - |
dc.contributor.googleauthor | Seunghyuk Choi | - |
dc.contributor.googleauthor | Jang Hee Han | - |
dc.contributor.googleauthor | Jong Hee Chang | - |
dc.contributor.googleauthor | Eunsuk Choi | - |
dc.contributor.googleauthor | Jayeon Kim | - |
dc.contributor.googleauthor | Nam-Gu Her | - |
dc.contributor.googleauthor | Se Hoon Kim | - |
dc.contributor.googleauthor | Seok-Gu Kang | - |
dc.contributor.googleauthor | Eunok Paek | - |
dc.contributor.googleauthor | Do-Hyun Nam | - |
dc.contributor.googleauthor | Cheolju Lee | - |
dc.contributor.googleauthor | Hyun Seok Kim | - |
dc.identifier.doi | 10.1038/s41467-020-17139-y | - |
dc.contributor.localId | A01111 | - |
dc.contributor.localId | A05943 | - |
dc.contributor.localId | A04977 | - |
dc.contributor.localId | A00036 | - |
dc.contributor.localId | A03470 | - |
dc.contributor.localId | A00610 | - |
dc.relation.journalcode | J02293 | - |
dc.identifier.eissn | 2041-1723 | - |
dc.identifier.pmid | 32620753 | - |
dc.contributor.alternativeName | Kim, Hyun Seok | - |
dc.contributor.affiliatedAuthor | 김현석 | - |
dc.contributor.affiliatedAuthor | 한장희 | - |
dc.contributor.affiliatedAuthor | 오세진 | - |
dc.contributor.affiliatedAuthor | 강석구 | - |
dc.contributor.affiliatedAuthor | 장종희 | - |
dc.contributor.affiliatedAuthor | 김세훈 | - |
dc.citation.volume | 11 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 3288 | - |
dc.identifier.bibliographicCitation | NATURE COMMUNICATIONS, Vol.11(1) : 3288, 2020-07 | - |
dc.identifier.rimsid | 67093 | - |
dc.type.rims | ART | - |
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