001     177225
005     20240229133733.0
024 7 _ |a 10.1158/1078-0432.CCR-21-2057
|2 doi
024 7 _ |a pmid:34702771
|2 pmid
024 7 _ |a 1078-0432
|2 ISSN
024 7 _ |a 1557-3265
|2 ISSN
024 7 _ |a altmetric:115811512
|2 altmetric
037 _ _ |a DKFZ-2021-02359
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Delaidelli, Alberto
|b 0
245 _ _ |a Clinically Tractable Outcome Prediction of non-WNT/non-SHH Medulloblastoma Based on TPD52 Immunohistochemistry in a Multicohort Study.
260 _ _ |a Philadelphia, Pa. [u.a.]
|c 2022
|b AACR
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 1642495629_14352
|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 2022 Jan 1;28(1):116-128
520 _ _ |a International consensus and the 2021 WHO classification recognize eight molecular subgroups among non-WNT/non-SHH (Group 3/4) medulloblastoma, representing ~60% of tumors. However, very few clinical centers worldwide possess the technical capabilities to determine DNA-methylation profiles or other molecular parameters of high-risk for Group 3/4 tumors. As a result, biomarker-driven risk stratification and therapy assignment constitutes a major challenge in medulloblastoma research. Here, we identify an immunohistochemistry (IHC) marker as a clinically tractable method for improved medulloblastoma risk stratification.We bioinformatically analyzed published medulloblastoma transcriptomes and proteomes identifying as a potential biomarker TPD52, whose IHC prognostic value was validated across three Group 3/4 medulloblastoma clinical cohorts (n = 387) treated with conventional therapies.TPD52 IHC positivity represented a significant independent predictor of early relapse and death for Group 3/4 medulloblastoma (HRs between 3.67-26.7 [95% CIs between 1.00-706.23], p = 0.05, 0.017 and 0.0058). Cross-validated survival models incorporating TPD52 IHC with clinical features outperformed existing state-of-the-art risk stratification schemes, and reclassified ~50% of patients into more appropriate risk categories. Finally, TPD52 immunopositivity was a predictive indicator of poor response to chemotherapy (HR 12.66 [95% CI 3.53-45.40], p < 0.0001), suggesting important implication for therapeutic choices.The current study redefines the approach to risk stratification in Group 3/4 medulloblastoma in global practice. Since integration of TPD52 IHC in classification algorithms significantly improved outcome prediction, this test could be rapidly adopted for risk stratification on a global scale, independently of advanced but technically challenging molecular profiling techniques.
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, , Journals: inrepo01.inet.dkfz-heidelberg.de
700 1 _ |a Dunham, Christopher
|b 1
700 1 _ |a Santi, Mariarita
|b 2
700 1 _ |a Negri, Gian Luca
|0 0000-0001-7722-8888
|b 3
700 1 _ |a Triscott, Joanna
|b 4
700 1 _ |a Zheludkova, Olga
|b 5
700 1 _ |a Golanov, Andrey
|b 6
700 1 _ |a Ryzhova, Marina
|b 7
700 1 _ |a Okonechnikov, Konstantin
|0 P:(DE-He78)34b3639de467b2c700920d7cbc3d2110
|b 8
|u dkfz
700 1 _ |a Schrimpf, Daniel
|0 P:(DE-He78)e54a1e0999c1d8c95869ef9188b794cc
|b 9
|u dkfz
700 1 _ |a Stichel, Damian
|0 P:(DE-He78)d20d08adc992abdb6ccffa1686f1ba17
|b 10
|u dkfz
700 1 _ |a Ellison, David W
|0 0000-0003-1239-7757
|b 11
700 1 _ |a von Deimling, Andreas
|0 P:(DE-He78)a8a10626a848d31e70cfd96a133cc144
|b 12
|u dkfz
700 1 _ |a Kool, Marcel
|0 P:(DE-He78)4c28e2aade5f44d8eca9dd8e97638ec8
|b 13
|u dkfz
700 1 _ |a Pfister, Stefan
|0 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
|b 14
|u dkfz
700 1 _ |a Ramaswamy, Vijay
|0 0000-0002-6557-895X
|b 15
700 1 _ |a Korshunov, Andrey
|0 P:(DE-He78)8d9c904a6cea14d4c99c78ba46e41f93
|b 16
|u dkfz
700 1 _ |a Taylor, Michael D
|b 17
700 1 _ |a Sorensen, Poul H
|b 18
773 _ _ |a 10.1158/1078-0432.CCR-21-2057
|g p. clincanres.2057.2021 -
|0 PERI:(DE-600)2036787-9
|n 1
|p 116-128
|t Clinical cancer research
|v 28
|y 2022
|x 1557-3265
909 C O |p VDB
|o oai:inrepo02.dkfz.de:177225
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)34b3639de467b2c700920d7cbc3d2110
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)e54a1e0999c1d8c95869ef9188b794cc
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)d20d08adc992abdb6ccffa1686f1ba17
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
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 14
|6 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 16
|6 P:(DE-He78)8d9c904a6cea14d4c99c78ba46e41f93
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
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-03
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2022-11-12
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CLIN CANCER RES : 2021
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-12
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b CLIN CANCER RES : 2021
|d 2022-11-12
920 1 _ |0 I:(DE-He78)B062-20160331
|k B062
|l B062 Pädiatrische Neuroonkologie
|x 0
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 1
920 1 _ |0 I:(DE-He78)B300-20160331
|k B300
|l KKE Neuropathologie
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)B062-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a I:(DE-He78)B300-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21