| 001 | 182882 | ||
| 005 | 20241230121009.0 | ||
| 024 | 7 | _ | |a 10.1007/s00401-022-02522-4 |2 doi |
| 024 | 7 | _ | |a pmid:36459208 |2 pmid |
| 024 | 7 | _ | |a 0001-6322 |2 ISSN |
| 024 | 7 | _ | |a 1432-0533 |2 ISSN |
| 024 | 7 | _ | |a altmetric:139943480 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2022-02988 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Mynarek, Martin |b 0 |
| 245 | _ | _ | |a Identification of low and very high-risk patients with non-WNT/non-SHH medulloblastoma by improved clinico-molecular stratification of the HIT2000 and I-HIT-MED cohorts. |
| 260 | _ | _ | |a Heidelberg |c 2023 |b Springer |
| 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 1673260673_25367 |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 #LA:B310# / 2023 Jan;145(1):97-112 |
| 520 | _ | _ | |a Molecular groups of medulloblastoma (MB) are well established. Novel risk stratification parameters include Group 3/4 (non-WNT/non-SHH) methylation subgroups I-VIII or whole-chromosomal aberration (WCA) phenotypes. This study investigates the integration of clinical and molecular parameters to improve risk stratification of non-WNT/non-SHH MB. Non-WNT/non-SHH MB from the HIT2000 study and the HIT-MED registries were selected based on availability of DNA-methylation profiling data. MYC or MYCN amplification and WCA of chromosomes 7, 8, and 11 were inferred from methylation array-based copy number profiles. In total, 403 non-WNT/non-SHH MB were identified, 346/403 (86%) had a methylation class family Group 3/4 methylation score (classifier v11b6) ≥ 0.9, and 294/346 (73%) were included in the risk stratification modeling based on Group 3 or 4 score (v11b6) ≥ 0.8 and subgroup I-VIII score (mb_g34) ≥ 0.8. Group 3 MB (5y-PFS, survival estimation ± standard deviation: 41.4 ± 4.6%; 5y-OS: 48.8 ± 5.0%) showed poorer survival compared to Group 4 (5y-PFS: 68.2 ± 3.7%; 5y-OS: 84.8 ± 2.8%). Subgroups II (5y-PFS: 27.6 ± 8.2%) and III (5y-PFS: 37.5 ± 7.9%) showed the poorest and subgroup VI (5y-PFS: 76.6 ± 7.9%), VII (5y-PFS: 75.9 ± 7.2%), and VIII (5y-PFS: 66.6 ± 5.8%) the best survival. Multivariate analysis revealed subgroup in combination with WCA phenotype to best predict risk of progression and death. The integration of clinical (age, M and R status) and molecular (MYC/N, subgroup, WCA phenotype) variables identified a low-risk stratum with a 5y-PFS of 94 ± 5.7 and a very high-risk stratum with a 5y-PFS of 29 ± 6.1%. Validation in an international MB cohort confirmed the combined stratification scheme with 82.1 ± 6.0% 5y-PFS in the low and 47.5 ± 4.1% in very high-risk groups, and outperformed the clinical model. These newly identified clinico-molecular low-risk and very high-risk strata, accounting for 6%, and 21% of non-WNT/non-SHH MB patients, respectively, may improve future treatment stratification. |
| 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: inrepo02.dkfz.de |
| 650 | _ | 7 | |a Group 3/4 |2 Other |
| 650 | _ | 7 | |a Medulloblastoma |2 Other |
| 650 | _ | 7 | |a Non-WNT/non-SHH |2 Other |
| 650 | _ | 7 | |a Risk stratification |2 Other |
| 700 | 1 | _ | |a Obrecht, Denise |b 1 |
| 700 | 1 | _ | |a Sill, Martin |0 P:(DE-He78)45440b44791309bd4b7dbb4f73333f9b |b 2 |u dkfz |
| 700 | 1 | _ | |a Sturm, Dominik |0 P:(DE-He78)a46a5b2a871859c8e2d63d2f8c666807 |b 3 |u dkfz |
| 700 | 1 | _ | |a Kloth-Stachnau, Katja |b 4 |
| 700 | 1 | _ | |a Selt, Florian |0 P:(DE-He78)a23e88cc676489fe05be8c178ceaf58e |b 5 |u dkfz |
| 700 | 1 | _ | |a Ecker, Jonas |0 P:(DE-He78)3de637452ba900e2bdd359b8f41953bf |b 6 |u dkfz |
| 700 | 1 | _ | |a von Hoff, Katja |b 7 |
| 700 | 1 | _ | |a Juhnke, Björn-Ole |b 8 |
| 700 | 1 | _ | |a Goschzik, Tobias |b 9 |
| 700 | 1 | _ | |a Pietsch, Torsten |b 10 |
| 700 | 1 | _ | |a Bockmayr, Michael |b 11 |
| 700 | 1 | _ | |a Kool, Marcel |0 P:(DE-He78)4c28e2aade5f44d8eca9dd8e97638ec8 |b 12 |u dkfz |
| 700 | 1 | _ | |a von Deimling, Andreas |0 P:(DE-He78)a8a10626a848d31e70cfd96a133cc144 |b 13 |u dkfz |
| 700 | 1 | _ | |a Witt, Olaf |0 P:(DE-He78)143af26de9d57bf624771616318aaf7c |b 14 |u dkfz |
| 700 | 1 | _ | |a Schüller, Ulrich |b 15 |
| 700 | 1 | _ | |a Benesch, Martin |b 16 |
| 700 | 1 | _ | |a Gerber, Nicolas U |b 17 |
| 700 | 1 | _ | |a Sahm, Felix |0 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88 |b 18 |u dkfz |
| 700 | 1 | _ | |a Jones, David |0 P:(DE-He78)551bb92841f634070997aa168d818492 |b 19 |u dkfz |
| 700 | 1 | _ | |a Korshunov, Andrey |0 P:(DE-He78)8d9c904a6cea14d4c99c78ba46e41f93 |b 20 |u dkfz |
| 700 | 1 | _ | |a Pfister, Stefan |0 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9 |b 21 |u dkfz |
| 700 | 1 | _ | |a Rutkowski, Stefan |b 22 |
| 700 | 1 | _ | |a Milde, Till |0 P:(DE-He78)0be2f86573954f87e97f8a4dbb05cb0f |b 23 |e Last author |u dkfz |
| 773 | _ | _ | |a 10.1007/s00401-022-02522-4 |0 PERI:(DE-600)1458410-4 |n 1 |p 97-112 |t Acta neuropathologica |v 145 |y 2023 |x 0001-6322 |
| 909 | C | O | |o oai:inrepo02.dkfz.de:182882 |p VDB |p OpenAPC |p openCost |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 2 |6 P:(DE-He78)45440b44791309bd4b7dbb4f73333f9b |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 3 |6 P:(DE-He78)a46a5b2a871859c8e2d63d2f8c666807 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 5 |6 P:(DE-He78)a23e88cc676489fe05be8c178ceaf58e |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 6 |6 P:(DE-He78)3de637452ba900e2bdd359b8f41953bf |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 12 |6 P:(DE-He78)4c28e2aade5f44d8eca9dd8e97638ec8 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 13 |6 P:(DE-He78)a8a10626a848d31e70cfd96a133cc144 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 14 |6 P:(DE-He78)143af26de9d57bf624771616318aaf7c |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 18 |6 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 19 |6 P:(DE-He78)551bb92841f634070997aa168d818492 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 20 |6 P:(DE-He78)8d9c904a6cea14d4c99c78ba46e41f93 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 21 |6 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 23 |6 P:(DE-He78)0be2f86573954f87e97f8a4dbb05cb0f |
| 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 2022 |
| 915 | _ | _ | |a DEAL Springer |0 StatID:(DE-HGF)3002 |2 StatID |d 2021-01-29 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-29 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-01-29 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-29 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ACTA NEUROPATHOL : 2022 |d 2023-10-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-10-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-10-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-10-21 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-10-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-10-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-10-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-10-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-10-21 |
| 915 | _ | _ | |a IF >= 10 |0 StatID:(DE-HGF)9910 |2 StatID |b ACTA NEUROPATHOL : 2022 |d 2023-10-21 |
| 915 | p | c | |a APC keys set |2 APC |0 PC:(DE-HGF)0000 |
| 915 | p | c | |a Local Funding |2 APC |0 PC:(DE-HGF)0001 |
| 920 | 2 | _ | |0 I:(DE-He78)B310-20160331 |k B310 |l KKE Pädiatrische Onkologie |x 0 |
| 920 | 1 | _ | |0 I:(DE-He78)B360-20160331 |k B360 |l Pediatric Glioma |x 0 |
| 920 | 1 | _ | |0 I:(DE-He78)B310-20160331 |k B310 |l KKE Pädiatrische Onkologie |x 1 |
| 920 | 1 | _ | |0 I:(DE-He78)B062-20160331 |k B062 |l B062 Pädiatrische Neuroonkologie |x 2 |
| 920 | 1 | _ | |0 I:(DE-He78)HD01-20160331 |k HD01 |l DKTK HD zentral |x 3 |
| 920 | 1 | _ | |0 I:(DE-He78)B300-20160331 |k B300 |l KKE Neuropathologie |x 4 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)B360-20160331 |
| 980 | _ | _ | |a I:(DE-He78)B310-20160331 |
| 980 | _ | _ | |a I:(DE-He78)B062-20160331 |
| 980 | _ | _ | |a I:(DE-He78)HD01-20160331 |
| 980 | _ | _ | |a I:(DE-He78)B300-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a APC |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|
guest ::