Home > Publications database > Cytomegalovirus immunoglobulin serology prevalence in patients with newly diagnosed multiple myeloma treated within the GMMG-MM5 phase III trial. > print |
001 | 288715 | ||
005 | 20240303010022.0 | ||
024 | 7 | _ | |a 10.1080/16078454.2024.2320006 |2 doi |
024 | 7 | _ | |a pmid:38407192 |2 pmid |
024 | 7 | _ | |a 1024-5332 |2 ISSN |
024 | 7 | _ | |a 1024-5340 |2 ISSN |
024 | 7 | _ | |a 1607-8454 |2 ISSN |
024 | 7 | _ | |a altmetric:160127446 |2 altmetric |
037 | _ | _ | |a DKFZ-2024-00434 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Salwender, Hans |0 0000-0001-7803-0814 |b 0 |
245 | _ | _ | |a Cytomegalovirus immunoglobulin serology prevalence in patients with newly diagnosed multiple myeloma treated within the GMMG-MM5 phase III trial. |
260 | _ | _ | |a Abingdon, Oxon |c 2024 |b Taylor & Francis |
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 1709041733_14145 |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 |
520 | _ | _ | |a The seroprevalence of antibodies against Cytomegalovirus (CMV) is an established poor prognostic factor for patients receiving an allogeneic stem cell transplantation. However, the impact of CMV serology on outcome after autologous stem cell transplantation remains unknown.Here, we analyzed the CMV immunoglobulin (Ig) serology of 446 newly-diagnosed multiple myeloma (MM) patients of the GMMG-MM5 phase III trial with a median follow-up of 58 months.CMV IgG and IgM positivity was seen in 51% and 6% of the patients, respectively. In multivariate analysis CMV IgG and CMV IgM serology show an age-depending effect for PFS. We identified positive CMV IgG/positive CMV IgM serology as an age-depending beneficial factor on PFS.Younger patients with a positive CMV IgG/positive CMV IgM serology experienced a favorable effect on PFS, whereas a positive CMV IgG/positive CMV IgM serology at older age has a disadvantageous effect on PFS. |
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 |
650 | _ | 7 | |a CMV |2 Other |
650 | _ | 7 | |a CMV IgM |2 Other |
650 | _ | 7 | |a CMV-Infection |2 Other |
650 | _ | 7 | |a GMMG-MM5 Phase III Trial |2 Other |
650 | _ | 7 | |a age-depending effect |2 Other |
650 | _ | 7 | |a autologous stem cell transplantation |2 Other |
650 | _ | 7 | |a maintenance therapy |2 Other |
650 | _ | 7 | |a multiple myeloma |2 Other |
650 | _ | 7 | |a cytomegalovirus-specific hyperimmune globulin |0 129L90A25N |2 NLM Chemicals |
650 | _ | 7 | |a Immunoglobulins, Intravenous |2 NLM Chemicals |
650 | _ | 7 | |a Antibodies, Viral |2 NLM Chemicals |
650 | _ | 7 | |a Immunoglobulin G |2 NLM Chemicals |
650 | _ | 7 | |a Immunoglobulin M |2 NLM Chemicals |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Cytomegalovirus |2 MeSH |
650 | _ | 2 | |a Hematopoietic Stem Cell Transplantation |2 MeSH |
650 | _ | 2 | |a Multiple Myeloma: diagnosis |2 MeSH |
650 | _ | 2 | |a Multiple Myeloma: therapy |2 MeSH |
650 | _ | 2 | |a Prevalence |2 MeSH |
650 | _ | 2 | |a Seroepidemiologic Studies |2 MeSH |
650 | _ | 2 | |a Transplantation, Autologous |2 MeSH |
650 | _ | 2 | |a Immunoglobulins, Intravenous |2 MeSH |
650 | _ | 2 | |a Antibodies, Viral |2 MeSH |
650 | _ | 2 | |a Immunoglobulin G |2 MeSH |
650 | _ | 2 | |a Cytomegalovirus Infections: epidemiology |2 MeSH |
650 | _ | 2 | |a Immunoglobulin M |2 MeSH |
700 | 1 | _ | |a Weinhold, Niels |b 1 |
700 | 1 | _ | |a Benner, Axel |0 P:(DE-He78)e15dfa1260625c69d6690a197392a994 |b 2 |u dkfz |
700 | 1 | _ | |a Miah, Kaya |0 P:(DE-He78)b97fc5666ea8f9db9ef499de6b2397cf |b 3 |u dkfz |
700 | 1 | _ | |a Merz, Maximilian |b 4 |
700 | 1 | _ | |a Haenel, Mathias |b 5 |
700 | 1 | _ | |a Jehn, Christian |b 6 |
700 | 1 | _ | |a Mai, Elias |b 7 |
700 | 1 | _ | |a Menis, Ekaterina |b 8 |
700 | 1 | _ | |a Blau, Igor |b 9 |
700 | 1 | _ | |a Scheid, Christof |b 10 |
700 | 1 | _ | |a Hose, Dirk |b 11 |
700 | 1 | _ | |a Seckinger, Anja |b 12 |
700 | 1 | _ | |a Luntz, Steffen |b 13 |
700 | 1 | _ | |a Besemer, Britta |b 14 |
700 | 1 | _ | |a Munder, Markus |b 15 |
700 | 1 | _ | |a Brossart, Peter |b 16 |
700 | 1 | _ | |a Glass, Bertram |b 17 |
700 | 1 | _ | |a Lindemann, Hans-Walter |b 18 |
700 | 1 | _ | |a Weisel, Katja |b 19 |
700 | 1 | _ | |a Hanoun, Christine |b 20 |
700 | 1 | _ | |a Schnitzler, Paul |b 21 |
700 | 1 | _ | |a Klemm, Sarah |b 22 |
700 | 1 | _ | |a Goldschmidt, Hartmut |b 23 |
700 | 1 | _ | |a Raab, Marc |b 24 |
700 | 1 | _ | |a Elmaagacli, Ahmet |b 25 |
773 | _ | _ | |a 10.1080/16078454.2024.2320006 |g Vol. 29, no. 1, p. 2320006 |0 PERI:(DE-600)2035573-7 |n 1 |p 2320006 |t Hematology |v 29 |y 2024 |x 1024-5332 |
909 | C | O | |o oai:inrepo02.dkfz.de:288715 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 2 |6 P:(DE-He78)e15dfa1260625c69d6690a197392a994 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 3 |6 P:(DE-He78)b97fc5666ea8f9db9ef499de6b2397cf |
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 2024 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b HEMATOLOGY : 2014 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2023-07-21T08:11:22Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2023-07-21T08:11:22Z |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Double anonymous peer review |d 2023-07-21T08:11:22Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-10-24 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2023-10-24 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b HEMATOLOGY : 2022 |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-10-24 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-10-24 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2023-10-24 |
915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2023-10-24 |
915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2023-10-24 |
920 | 1 | _ | |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 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|