001     142134
005     20240229105145.0
024 7 _ |2 doi
|a 10.1038/s41418-018-0080-0
024 7 _ |2 pmid
|a pmid:29515255
024 7 _ |2 pmc
|a pmc:PMC6261943
024 7 _ |2 ISSN
|a 1350-9047
024 7 _ |2 ISSN
|a 1476-5403
024 7 _ |a altmetric:34312097
|2 altmetric
037 _ _ |a DKFZ-2018-02364
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |0 P:(DE-He78)cd7eb75e4b89ac0b520b75c4f63b272f
|a Shen, Jing
|b 0
|e First author
|u dkfz
245 _ _ |a A kinome-wide RNAi screen identifies ALK as a target to sensitize neuroblastoma cells for HDAC8-inhibitor treatment.
260 _ _ |a London
|b Macmillan
|c 2018
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
|s 1550747062_13723
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |0 0
|2 EndNote
|a Journal Article
520 _ _ |a The prognosis of advanced stage neuroblastoma patients remains poor and, despite intensive therapy, the 5-year survival rate remains less than 50%. We previously identified histone deacetylase (HDAC) 8 as an indicator of poor clinical outcome and a selective drug target for differentiation therapy in vitro and in vivo. Here, we performed kinome-wide RNAi screening to identify genes that are synthetically lethal with HDAC8 inhibitors. These experiments identified the neuroblastoma predisposition gene ALK as a candidate gene. Accordingly, the combination of the ALK/MET inhibitor crizotinib and selective HDAC8 inhibitors (3-6 µM PCI-34051 or 10 µM 20a) efficiently killed neuroblastoma cell lines carrying wildtype ALK (SK-N-BE(2)-C, IMR5/75), amplified ALK (NB-1), and those carrying the activating ALK F1174L mutation (Kelly), and, in cells carrying the activating R1275Q mutation (LAN-5), combination treatment decreased viable cell count. The effective dose of crizotinib in neuroblastoma cell lines ranged from 0.05 µM (ALK-amplified) to 0.8 µM (wildtype ALK). The combinatorial inhibition of ALK and HDAC8 also decreased tumor growth in an in vivo zebrafish xenograft model. Bioinformatic analyses revealed that the mRNA expression level of HDAC8 was significantly correlated with that of ALK in two independent patient cohorts, the Academic Medical Center cohort (n = 88) and the German Neuroblastoma Trial cohort (n = 649), and co-expression of both target genes identified patients with very poor outcome. Mechanistically, HDAC8 and ALK converge at the level of receptor tyrosine kinase (RTK) signaling and their downstream survival pathways, such as ERK signaling. Combination treatment of HDAC8 inhibitor with crizotinib efficiently blocked the activation of growth receptor survival signaling and shifted the cell cycle arrest and differentiation phenotype toward effective cell death of neuroblastoma cell lines, including sensitization of resistant models, but not of normal cells. These findings reveal combined targeting of ALK and HDAC8 as a novel strategy for the treatment of neuroblastoma.
536 _ _ |0 G:(DE-HGF)POF3-317
|a 317 - Translational cancer research (POF3-317)
|c POF3-317
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |0 P:(DE-He78)f08873535c440e3ce033c84d5786f70f
|a Najafi, Sara
|b 1
|u dkfz
700 1 _ |0 P:(DE-He78)382c3025ef63551628ccc5bc5e702034
|a Stäble, Sina
|b 2
|u dkfz
700 1 _ |0 P:(DE-HGF)0
|a Fabian, Johannes
|b 3
700 1 _ |0 P:(DE-He78)700a3a9eaae170adaad6cfbd3d696f93
|a Koeneke, Emily
|b 4
|u dkfz
700 1 _ |0 P:(DE-He78)556dfbcf5489cf998946e2b316deca4d
|a Kolbinger, Fiona
|b 5
|u dkfz
700 1 _ |0 P:(DE-He78)cacc65ce8c4dddde923bc91eb6631dad
|a Wrobel, Jagoda
|b 6
|u dkfz
700 1 _ |a Meder, Benjamin
|b 7
700 1 _ |a Distel, Martin
|b 8
700 1 _ |a Heimburg, Tino
|b 9
700 1 _ |a Sippl, Wolfgang
|b 10
700 1 _ |a Jung, Manfred
|b 11
700 1 _ |a Peterziel, Heike
|b 12
700 1 _ |0 P:(DE-He78)17cf3454cef0265578352ab023676b70
|a Kranz, Dominique
|b 13
|u dkfz
700 1 _ |0 P:(DE-He78)3c0da8e3caa2aa50cad85152aa0465ad
|a Boutros, Michael
|b 14
|u dkfz
700 1 _ |0 P:(DE-He78)91f32735ee876c579d63c05a7f4778dd
|a Westermann, Frank
|b 15
|u dkfz
700 1 _ |0 P:(DE-He78)143af26de9d57bf624771616318aaf7c
|a Witt, Olaf
|b 16
|u dkfz
700 1 _ |0 P:(DE-He78)908367a659dea9e28dac34592b3c46e5
|a Oehme, Ina
|b 17
|e Last author
|u dkfz
773 _ _ |0 PERI:(DE-600)1496681-5
|a 10.1038/s41418-018-0080-0
|g Vol. 25, no. 12, p. 2053 - 2070
|n 12
|p 2053 - 2070
|t Cell death and differentiation
|v 25
|x 1476-5403
|y 2018
909 C O |o oai:inrepo02.dkfz.de:142134
|p VDB
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)cd7eb75e4b89ac0b520b75c4f63b272f
|a Deutsches Krebsforschungszentrum
|b 0
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)f08873535c440e3ce033c84d5786f70f
|a Deutsches Krebsforschungszentrum
|b 1
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)382c3025ef63551628ccc5bc5e702034
|a Deutsches Krebsforschungszentrum
|b 2
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-HGF)0
|a Deutsches Krebsforschungszentrum
|b 3
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)700a3a9eaae170adaad6cfbd3d696f93
|a Deutsches Krebsforschungszentrum
|b 4
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)556dfbcf5489cf998946e2b316deca4d
|a Deutsches Krebsforschungszentrum
|b 5
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)cacc65ce8c4dddde923bc91eb6631dad
|a Deutsches Krebsforschungszentrum
|b 6
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)17cf3454cef0265578352ab023676b70
|a Deutsches Krebsforschungszentrum
|b 13
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)3c0da8e3caa2aa50cad85152aa0465ad
|a Deutsches Krebsforschungszentrum
|b 14
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)91f32735ee876c579d63c05a7f4778dd
|a Deutsches Krebsforschungszentrum
|b 15
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)143af26de9d57bf624771616318aaf7c
|a Deutsches Krebsforschungszentrum
|b 16
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)908367a659dea9e28dac34592b3c46e5
|a Deutsches Krebsforschungszentrum
|b 17
|k DKFZ
913 1 _ |0 G:(DE-HGF)POF3-317
|1 G:(DE-HGF)POF3-310
|2 G:(DE-HGF)POF3-300
|a DE-HGF
|l Krebsforschung
|v Translational cancer research
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2018
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b CELL DEATH DIFFER : 2017
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
915 _ _ |0 StatID:(DE-HGF)0310
|2 StatID
|a DBCoverage
|b NCBI Molecular Biology Database
915 _ _ |0 StatID:(DE-HGF)0320
|2 StatID
|a DBCoverage
|b PubMed Central
915 _ _ |0 StatID:(DE-HGF)0600
|2 StatID
|a DBCoverage
|b Ebsco Academic Search
915 _ _ |0 StatID:(DE-HGF)0030
|2 StatID
|a Peer Review
|b ASC
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Clarivate Analytics Master Journal List
915 _ _ |0 StatID:(DE-HGF)0110
|2 StatID
|a WoS
|b Science Citation Index
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
915 _ _ |0 StatID:(DE-HGF)0111
|2 StatID
|a WoS
|b Science Citation Index Expanded
915 _ _ |0 StatID:(DE-HGF)1030
|2 StatID
|a DBCoverage
|b Current Contents - Life Sciences
915 _ _ |0 StatID:(DE-HGF)1050
|2 StatID
|a DBCoverage
|b BIOSIS Previews
915 _ _ |0 StatID:(DE-HGF)9905
|2 StatID
|a IF >= 5
|b CELL DEATH DIFFER : 2017
920 1 _ |0 I:(DE-He78)L101-20160331
|k L101
|l DKTK Heidelberg
|x 0
920 1 _ |0 I:(DE-He78)B110-20160331
|k B110
|l Signalwege und Funktionelle Genomik
|x 1
920 1 _ |0 I:(DE-He78)B087-20160331
|k B087
|l Neuroblastom Genomik
|x 2
920 1 _ |0 I:(DE-He78)G340-20160331
|k G340
|l KKE Pädiatrische Onkologie
|x 3
920 1 _ |0 I:(DE-He78)L601-20160331
|k L601
|l DKTK Freiburg
|x 4
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)L101-20160331
980 _ _ |a I:(DE-He78)B110-20160331
980 _ _ |a I:(DE-He78)B087-20160331
980 _ _ |a I:(DE-He78)G340-20160331
980 _ _ |a I:(DE-He78)L601-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21