001     302014
005     20250623103604.0
024 7 _ |a 10.1016/j.xcrm.2025.102183
|2 doi
024 7 _ |a pmid:40505659
|2 pmid
024 7 _ |a altmetric:178034301
|2 altmetric
037 _ _ |a DKFZ-2025-01212
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Xing, Yao Lulu
|b 0
245 _ _ |a BRAF/MEK inhibition induces cell state transitions boosting immune checkpoint sensitivity in BRAFV600E-mutant glioma.
260 _ _ |a Cambridge, MA
|c 2025
|b Cell Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1750667717_14031
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a 2025 Jun 17;6(6):102183
520 _ _ |a Resistance to v-raf murine sarcoma viral oncogene homolog B1 (BRAF) plus mitogen-activated protein kinase kinase (MEK) inhibition (BRAFi+MEKi) in BRAFV600E-mutant gliomas drives rebound, progression, and high mortality, yet it remains poorly understood. This study addresses the urgent need to develop treatments for BRAFi+MEKi-resistant glioma using preclinical mouse models and patient-derived materials. BRAFi+MEKi reveals glioma plasticity by heightening cell state transitions along glial differentiation trajectories, giving rise to astrocyte- and immunomodulatory oligodendrocyte (OL)-like states. PD-L1 upregulation in OL-like cells links cell state transitions to immune evasion, possibly orchestrated by Galectin-3. BRAFi+MEKi induces interferon response signatures, tumor infiltration, and suppression of T cells. Combining BRAFi+MEKi with immune checkpoint inhibition enhances survival in a T cell-dependent manner, reinvigorates T cells, and outperforms individual or sequential therapies in mice. Elevated PD-L1 expression in BRAF-mutant versus BRAF-wild-type glioblastoma supports the rationale for PD-1 inhibition in patients. These findings underscore the potential of targeting glioma plasticity and highlight combination strategies to overcome therapy resistance in BRAFV600E-mutant high-grade glioma.
536 _ _ |a 899 - ohne Topic (POF4-899)
|0 G:(DE-HGF)POF4-899
|c POF4-899
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a BRAF V600E
|2 Other
650 _ 7 |a BRAF and MEK inhibitor adaptation
|2 Other
650 _ 7 |a Galectin-3
|2 Other
650 _ 7 |a T cell modulation
|2 Other
650 _ 7 |a cell state transitions
|2 Other
650 _ 7 |a high-grade glioma
|2 Other
650 _ 7 |a immune checkpoint inhibition
|2 Other
650 _ 7 |a programmed death-ligand 1
|2 Other
700 1 _ |a Panovska, Dena
|b 1
700 1 _ |a Park, Jong-Whi
|b 2
700 1 _ |a Grossauer, Stefan
|b 3
700 1 _ |a Koeck, Katharina
|b 4
700 1 _ |a Bui, Brandon
|b 5
700 1 _ |a Nasajpour, Emon
|b 6
700 1 _ |a Nirschl, Jeffrey J
|b 7
700 1 _ |a Feng, Zhi-Ping
|b 8
700 1 _ |a Cheung, Pierre
|b 9
700 1 _ |a Habib, Pardes
|b 10
700 1 _ |a Wei, Ruolun
|b 11
700 1 _ |a Wang, Jie
|b 12
700 1 _ |a Thomason, Wes
|b 13
700 1 _ |a Monje, Michelle
|b 14
700 1 _ |a Xiu, Joanne
|b 15
700 1 _ |a Beck, Alexander
|b 16
700 1 _ |a Weber, Katharina
|0 P:(DE-He78)832f5277c0186f22e7704f1930239636
|b 17
|u dkfz
700 1 _ |a Harter, Patrick N
|b 18
700 1 _ |a Lim, Michael
|b 19
700 1 _ |a Mahaney, Kelly B
|b 20
700 1 _ |a Prolo, Laura M
|b 21
700 1 _ |a Grant, Gerald A
|b 22
700 1 _ |a Ji, Xuhuai
|b 23
700 1 _ |a Walsh, Kyle M
|b 24
700 1 _ |a Mulcahy Levy, Jean M
|b 25
700 1 _ |a Hambardzumyan, Dolores
|b 26
700 1 _ |a Petritsch, Claudia K
|b 27
773 _ _ |a 10.1016/j.xcrm.2025.102183
|g p. 102183 -
|0 PERI:(DE-600)3019420-9
|n 6
|p 102183
|t Cell reports / Medicine
|v 6
|y 2025
|x 2666-3791
909 C O |p VDB
|o oai:inrepo02.dkfz.de:302014
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 17
|6 P:(DE-He78)832f5277c0186f22e7704f1930239636
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2025
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CELL REP MED : 2022
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-04-12T14:51:29Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-04-12T14:51:29Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-04-12T14:51:29Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2024-12-05
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-05
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-05
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b CELL REP MED : 2022
|d 2024-12-05
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-05
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-05
920 1 _ |0 I:(DE-He78)FM01-20160331
|k FM01
|l DKTK Koordinierungsstelle Frankfurt
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)FM01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21