001     277771
005     20240229155023.0
024 7 _ |a 10.1182/bloodadvances.2022008617
|2 doi
024 7 _ |a pmid:37477588
|2 pmid
024 7 _ |a 2473-9529
|2 ISSN
024 7 _ |a 2473-9537
|2 ISSN
037 _ _ |a DKFZ-2023-01486
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Kordelas, Lambros
|0 0000-0003-3116-473X
|b 0
245 _ _ |a EASIX-1 year and late mortality after allogeneic stem cell transplantation.
260 _ _ |a Washington, DC
|c 2023
|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 1695116750_15140
|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:C060# / 2023 Sep 26;7(18):5374-5381
520 _ _ |a Patients with haematological malignancies who survive the first year after allogeneic stem cell transplantation (alloSCT) without relapse have a substantial risk of non-relapse mortality (NRM), and predictive markers are missing. The Endothelial Activation and Stress Index (EASIX) predicts endothelial complications and NRM early after alloSCT. We hypothesised that EASIX assessed 1 year after alloSCT in disease-free survivors may predict late NRM. Relapse-free survivors at one year after alloSCT were retrospectively studied in two independent cohorts (training cohort: n=610, merged validation cohort: n=852). EASIX determined one year after alloSCT was correlated with overall survival (OS), NRM, and relapse. Serum endothelial and inflammatory markers were measured in the training cohort and correlated with EASIX-1y. EASIX-1year predicted OS and NRM but not relapse risk in both, training and validation cohort in univariable and multivariable Cox regression analyses. Brier score and c-index analyses validated the univariable EASIX effects. There was no significant interaction between EASIX-1year and incidence of chronic GvHD on OS. EASIX-1year predicted outcome irrespective of pre-existing comorbidities. Principal causes of NRM in both, training and validation cohorts were infections with and without GvHD, as well as cardiovascular complications. EASIX-1y correlated with sCD141 and interleukin-18, but not with C-reactive protein, suppressor of tumorigenicity (ST)-2, angiopoietin-2, CXCL9 or CXCL8. EASIX-1year is the first validated predictor of late overall and non-relapse mortality. High-risk patients as defined by EASIX-1year might be considered for intensified surveillance and prophylactic measures.
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 Terzer, Tobias
|0 P:(DE-He78)9c4af0f5ceb3a2072b3736274eadf20e
|b 1
|e First author
|u dkfz
700 1 _ |a Gooley, Ted A
|b 2
700 1 _ |a Davis, Chris
|b 3
700 1 _ |a Sandmaier, Brenda M
|0 0000-0002-9767-9739
|b 4
700 1 _ |a Sorror, Mohamed Lotfy
|0 0000-0001-5260-1981
|b 5
700 1 _ |a Penack, Olaf
|b 6
700 1 _ |a Schaeper, Nigel Dross Engelbert
|b 7
700 1 _ |a Blau, Igor W
|b 8
700 1 _ |a Beelen, Dietrich W
|b 9
700 1 _ |a Radujkovic, Aleksandar
|b 10
700 1 _ |a Dreger, Peter
|b 11
700 1 _ |a Luft, Thomas
|b 12
773 _ _ |a 10.1182/bloodadvances.2022008617
|g p. bloodadvances.2022008617
|0 PERI:(DE-600)2876449-3
|n 18
|p 5374-5381
|t Blood advances
|v 7
|y 2023
|x 2473-9529
909 C O |p VDB
|o oai:inrepo02.dkfz.de:277771
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)9c4af0f5ceb3a2072b3736274eadf20e
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 2023
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2022-11-22
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-22
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BLOOD ADV : 2022
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-08-25
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b BLOOD ADV : 2022
|d 2023-08-25
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 0
920 0 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21