001     167482
005     20240229133542.0
024 7 _ |a 10.1093/neuonc/noab031
|2 doi
024 7 _ |a pmid:33589929
|2 pmid
024 7 _ |a 1522-8517
|2 ISSN
024 7 _ |a 1523-5866
|2 ISSN
024 7 _ |a altmetric:100335700
|2 altmetric
037 _ _ |a DKFZ-2021-00383
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Korshunov, Andrey
|0 P:(DE-He78)8d9c904a6cea14d4c99c78ba46e41f93
|b 0
|e First author
245 _ _ |a Integrated molecular analysis of adult Sonic Hedgehog (SHH)-activated medulloblastomas reveals two clinically relevant tumor subsets with VEGFA as potent prognostic indicator.
260 _ _ |a Oxford
|c 2021
|b Oxford Univ. 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 1641314532_11028
|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 #EA:B300#B062#LA:B062# / 2021 Sep 1;23(9):1576-1585
520 _ _ |a Up to now, adult medulloblastoma (MB) patients are treated according to the protocols elaborated for pediatric MB although these tumors are different in terms of clinical outcomes and biology. Approximately 70% of adult MB disclose a Sonic Hedgehog (SHH) molecular signature in contrast to about 30% in pediatric cohorts. In addition, adult SHH-MB (aSHH-MB) are clinically heterogeneous but there is consensus neither on their optimal treatment nor on risk stratification. Thus, the identification of clinically relevant molecular subsets of aSHH-MB and identification of potential treatment targets remains inconclusive.We analyzed 96 samples of institutionally diagnosed aSHH-MB through genome-wide DNA methylation profiling, targeted DNA sequencing and RNA sequencing to identify molecular subcategories of these tumors and assess their prognostic significance.We defined two aSHH-MB numerically comparable epigenetic subsets with clinical and molecular variability. The subset 'aSHH-MBI' (46/48%) was associated with PTCH1/SMO (54%/46%) mutations, 'neuronal' transcriptional signatures, and favorable outcomes after combined radio-chemotherapy (5-year PFS = 80% and OS = 92%). The clinically unfavorable 'aSHH-MBII' subset (50/52%; 5-year PFS = 24% and OS = 45%) disclosed GLI2 amplifications (8%), loss of 10q (22%), and gene expression signatures associated with angiogenesis and embryonal development. aSHH-MBII tumors revealed strong and ubiquitous expression of VEGFA both at transcript and protein levels that was correlated with unfavorable outcome.1. The histologically uniform aSHH-MB cohort exhibits clear molecular heterogeneity separating these tumors into two molecular subsets (aSHH-MBI and aSHH-MBII), which are associated with different cytogenetics, mutational landscapes, gene expression signatures, and clinical course. 2. VEGFA appears to be a promising biomarker to predict clinical course, which needs further prospective validation as its potential role in the pathogenesis of this subset.
536 _ _ |a 312 - Funktionelle und strukturelle Genomforschung (POF4-312)
|0 G:(DE-HGF)POF4-312
|c POF4-312
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 7 |a Adult
|2 Other
650 _ 7 |a Medulloblastoma
|2 Other
650 _ 7 |a SHH
|2 Other
650 _ 7 |a VEGFA
|2 Other
650 _ 7 |a prognosis
|2 Other
650 _ 7 |a transcriptome
|2 Other
700 1 _ |a Okonechnikov, Konstantin
|0 P:(DE-He78)34b3639de467b2c700920d7cbc3d2110
|b 1
|e First author
700 1 _ |a Stichel, Damian
|0 P:(DE-He78)d20d08adc992abdb6ccffa1686f1ba17
|b 2
700 1 _ |a Ryzhova, Marina
|b 3
700 1 _ |a Schrimpf, Daniel
|0 P:(DE-He78)e54a1e0999c1d8c95869ef9188b794cc
|b 4
700 1 _ |a Sahm, Felix
|0 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88
|b 5
700 1 _ |a Sievers, Philipp
|0 P:(DE-He78)8aad075b17d93a5636a34942bdbd7ee6
|b 6
700 1 _ |a Absalyamova, Oksana
|b 7
700 1 _ |a Zheludkova, Olga
|b 8
700 1 _ |a Golanov, Andrey
|b 9
700 1 _ |a Jones, David T W
|0 P:(DE-He78)551bb92841f634070997aa168d818492
|b 10
700 1 _ |a Pfister, Stefan M
|0 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
|b 11
700 1 _ |a von Deimling, Andreas
|0 P:(DE-He78)a8a10626a848d31e70cfd96a133cc144
|b 12
700 1 _ |a Kool, Marcel
|0 P:(DE-He78)4c28e2aade5f44d8eca9dd8e97638ec8
|b 13
|e Last author
773 _ _ |a 10.1093/neuonc/noab031
|0 PERI:(DE-600)2094060-9
|n 9
|p 1576-1585
|t Neuro-Oncology
|v 23
|y 2021
|x 1523-5866
909 C O |p VDB
|o oai:inrepo02.dkfz.de:167482
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)8d9c904a6cea14d4c99c78ba46e41f93
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)34b3639de467b2c700920d7cbc3d2110
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)d20d08adc992abdb6ccffa1686f1ba17
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)e54a1e0999c1d8c95869ef9188b794cc
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)8aad075b17d93a5636a34942bdbd7ee6
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)551bb92841f634070997aa168d818492
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 12
|6 P:(DE-He78)a8a10626a848d31e70cfd96a133cc144
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 13
|6 P:(DE-He78)4c28e2aade5f44d8eca9dd8e97638ec8
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-312
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Funktionelle und strukturelle Genomforschung
|x 0
913 0 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-312
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Functional and structural genomics
|x 0
914 1 _ |y 2021
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2020-08-32
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-08-32
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-08-32
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-08-32
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-08-32
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-08-32
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2020-08-32
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-08-32
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-08-32
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEURO-ONCOLOGY : 2018
|d 2020-08-32
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b NEURO-ONCOLOGY : 2018
|d 2020-08-32
920 1 _ |0 I:(DE-He78)B300-20160331
|k B300
|l KKE Neuropathologie
|x 0
920 1 _ |0 I:(DE-He78)B062-20160331
|k B062
|l B062 Pädiatrische Neuroonkologie
|x 1
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 2
920 1 _ |0 I:(DE-He78)B360-20160331
|k B360
|l Pediatric Glioma
|x 3
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)B300-20160331
980 _ _ |a I:(DE-He78)B062-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a I:(DE-He78)B360-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21