Home > Publications database > Midostaurin plus intensive chemotherapy for younger and older Patients with AML and FLT3 internal tandem duplications. > print |
001 | 179738 | ||
005 | 20240229145552.0 | ||
024 | 7 | _ | |a 10.1182/bloodadvances.2022007223 |2 doi |
024 | 7 | _ | |a pmid:35486475 |2 pmid |
024 | 7 | _ | |a 2473-9529 |2 ISSN |
024 | 7 | _ | |a 2473-9537 |2 ISSN |
024 | 7 | _ | |a 2476-9537 |2 ISSN |
024 | 7 | _ | |a altmetric:127531800 |2 altmetric |
037 | _ | _ | |a DKFZ-2022-00865 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Döhner, Hartmut |0 0000-0003-2116-5536 |b 0 |
245 | _ | _ | |a Midostaurin plus intensive chemotherapy for younger and older Patients with AML and FLT3 internal tandem duplications. |
260 | _ | _ | |a Washington, DC |c 2022 |b American Society of Hematology |
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 1671007821_19579 |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 Sep 27;6(18):5345-5355 |
520 | _ | _ | |a We conducted a single-arm phase-II trial (AMLSG 16-10) to evaluate midostaurin with intensive chemotherapy followed by allogeneic hematopoietic-cell transplantation (HCT) and a one-year midostaurin maintenance therapy in adult patients with acute myeloid leukemia (AML) and FLT3 internal tandem duplication (ITD). Patients 18-70 years of age with newly diagnosed FLT3-ITD-positive AML were eligible. Primary and key secondary endpoints were event-free (EFS) and overall survival (OS). Results were compared to a historical cohort of 415 patients treated on 5 prior AMLSG trials; statistical analysis was performed using a double-robust adjustment with propensity score weighting and covariate adjustment. Results were also compared to patients (18-59yrs) treated on the placebo arm of the CALGB 10603/RATIFY trial. The trial accrued 440 patients (18-60yrs, n=312; 61-70yrs, n=128). In multivariate analysis, EFS was significantly in favor of patients treated within the AMLSG 16-10 trial compared to the AMLSG control (HR 0.55; P<0.001); both in younger (HR 0.59; P<0.001) and older patients (HR 0.42; P<0.001). Multivariate analysis also showed a significant beneficial effect on OS compared to the AMLSG control (HR 0.57; P<0.001) as well as to the CALGB 10603/RATIFY trial (HR 0.71; p=0.005). The treatment effect of midostaurin remained significant in sensitivity analysis including allogeneic HCT as a time-dependent covariate. Addition of midostaurin to chemotherapy was safe in younger and older patients. In comparison to historical controls, the addition of midostaurin to intensive therapy led to a significant improvement in outcome in younger and older patients with AML and FLT3-ITD. |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
700 | 1 | _ | |a Weber, Daniela |b 1 |
700 | 1 | _ | |a Krzykalla, Julia |0 P:(DE-He78)5a7a75d1b29b770f98f1bb2062fc3df9 |b 2 |
700 | 1 | _ | |a Fiedler, Walter |b 3 |
700 | 1 | _ | |a Wulf, Gerald Georg |b 4 |
700 | 1 | _ | |a Salih, Helmut R |b 5 |
700 | 1 | _ | |a Lübbert, Michael |b 6 |
700 | 1 | _ | |a Kühn, Michael |b 7 |
700 | 1 | _ | |a Schroeder, Thomas |b 8 |
700 | 1 | _ | |a Salwender, Hans |b 9 |
700 | 1 | _ | |a Götze, Katharina S |0 0000-0002-6276-8002 |b 10 |
700 | 1 | _ | |a Westermann, Jörg |b 11 |
700 | 1 | _ | |a Fransecky, Lars |0 0000-0002-3658-0284 |b 12 |
700 | 1 | _ | |a Mayer, Karin |b 13 |
700 | 1 | _ | |a Hertenstein, Bernd |b 14 |
700 | 1 | _ | |a Ringhoffer, Mark |b 15 |
700 | 1 | _ | |a Tischler, Hans-Joachim |b 16 |
700 | 1 | _ | |a Machherndl-Spandl, Sigrid |b 17 |
700 | 1 | _ | |a Schrade, Anika |b 18 |
700 | 1 | _ | |a Paschka, Peter |b 19 |
700 | 1 | _ | |a Gaidzik, Verena I |b 20 |
700 | 1 | _ | |a Theis, Frauke |b 21 |
700 | 1 | _ | |a Thol, Felicitas R |b 22 |
700 | 1 | _ | |a Heuser, Michael |b 23 |
700 | 1 | _ | |a Schlenk, Richard F |0 P:(DE-He78)d8a0e60e5e095f3161ee0de3712409bc |b 24 |u dkfz |
700 | 1 | _ | |a Bullinger, Lars |b 25 |
700 | 1 | _ | |a Saadati, Maral |b 26 |
700 | 1 | _ | |a Benner, Axel |0 P:(DE-He78)e15dfa1260625c69d6690a197392a994 |b 27 |
700 | 1 | _ | |a Larson, Richard A |0 0000-0001-9168-3203 |b 28 |
700 | 1 | _ | |a Stone, Richard M |b 29 |
700 | 1 | _ | |a Döhner, Konstanze |b 30 |
700 | 1 | _ | |a Ganser, Arnold |0 0000-0003-3510-4304 |b 31 |
773 | _ | _ | |a 10.1182/bloodadvances.2022007223 |g p. bloodadvances.2022007223 |0 PERI:(DE-600)2876449-3 |n 18 |p 5345-5355 |t Blood advances |v 6 |y 2022 |x 2473-9529 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:179738 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 2 |6 P:(DE-He78)5a7a75d1b29b770f98f1bb2062fc3df9 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 24 |6 P:(DE-He78)d8a0e60e5e095f3161ee0de3712409bc |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 27 |6 P:(DE-He78)e15dfa1260625c69d6690a197392a994 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
914 | 1 | _ | |y 2022 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-31 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-01-31 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-31 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2022-11-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2022-11-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2022-11-22 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BLOOD ADV : 2021 |d 2022-11-22 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b BLOOD ADV : 2021 |d 2022-11-22 |
920 | 1 | _ | |0 I:(DE-He78)C060-20160331 |k C060 |l C060 Biostatistik |x 0 |
920 | 1 | _ | |0 I:(DE-He78)W010-20160331 |k W010 |l Klinische Studienzentrale |x 1 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C060-20160331 |
980 | _ | _ | |a I:(DE-He78)W010-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|