PURPOSE: In patients with acute myeloid leukemia (AML), differential indications for matched sibling and unrelated hematopoietic stem-cell transplantation (HCT) are considered, and arbitrary age limits for HCT exist. We sought to determine whether donor type is a prognostic factor in elderly patients in the era of high-resolution DNA-based HLA typing. PATIENTS AND METHODS: We performed univariate and multivariate analyses of event-free survival (EFS) and overall survival (OS) in patients older than 50 years with standard- or high-risk AML who had received an allogeneic HCT between 1995 and 2005. Available DNA from donors and recipients of unrelated HCT was retyped so that the HLA-A, -B, -C, and -DRB1 alleles could be characterized in detail. Unrelated donors (UDs) were classified as matched (8/8), possibly matched (matched, but incomplete information), partially matched (one mismatch), or poorly matched (two or more mismatches) according to the final typing results. RESULTS: Data from 368 patients with a median age of 57 years (range, 50 to 73 years) were included. Multivariate Cox regression analysis revealed that patients' disease status at HCT (P < .001) and the cytogenetic risk (P < .001) highly significantly predicted EFS and OS. Compared with patients with matched sibling donors, the adjusted relative risk of EFS was 0.7 (95% CI, 0.4 to 1.1) for patients with matched UDs and 1.0 (95% CI, 0.7 to 1.6) for patients with partially matched UDs. CONCLUSION: Donor type is not a major prognostic factor for HCT in elderly patients with standard- or high-risk AML.
PURPOSE: In patients with acute myeloid leukemia (AML), differential indications for matched sibling and unrelated hematopoietic stem-cell transplantation (HCT) are considered, and arbitrary age limits for HCT exist. We sought to determine whether donor type is a prognostic factor in elderly patients in the era of high-resolution DNA-based HLA typing. PATIENTS AND METHODS: We performed univariate and multivariate analyses of event-free survival (EFS) and overall survival (OS) in patients older than 50 years with standard- or high-risk AML who had received an allogeneic HCT between 1995 and 2005. Available DNA from donors and recipients of unrelated HCT was retyped so that the HLA-A, -B, -C, and -DRB1 alleles could be characterized in detail. Unrelated donors (UDs) were classified as matched (8/8), possibly matched (matched, but incomplete information), partially matched (one mismatch), or poorly matched (two or more mismatches) according to the final typing results. RESULTS: Data from 368 patients with a median age of 57 years (range, 50 to 73 years) were included. Multivariate Cox regression analysis revealed that patients' disease status at HCT (P < .001) and the cytogenetic risk (P < .001) highly significantly predicted EFS and OS. Compared with patients with matched sibling donors, the adjusted relative risk of EFS was 0.7 (95% CI, 0.4 to 1.1) for patients with matched UDs and 1.0 (95% CI, 0.7 to 1.6) for patients with partially matched UDs. CONCLUSION:Donor type is not a major prognostic factor for HCT in elderly patients with standard- or high-risk AML.
Authors: Vikas Gupta; Martin S Tallman; Wensheng He; Brent R Logan; Edward Copelan; Robert Peter Gale; Hanna J Khoury; Thomas Klumpp; John Koreth; Hillard M Lazarus; David I Marks; Rodrigo Martino; David A Rizzieri; Jacob M Rowe; Mitchell Sabloff; Edmund K Waller; John F DiPersio; Donald W Bunjes; Daniel J Weisdorf Journal: Blood Date: 2010-06-10 Impact factor: 22.113
Authors: Vincent T Ho; Haesook T Kim; Julie Aldridge; Deborah Liney; Grace Kao; Philippe Armand; John Koreth; Corey Cutler; Jerome Ritz; Joseph H Antin; Robert J Soiffer; Edwin P Alyea Journal: Biol Blood Marrow Transplant Date: 2010-12-27 Impact factor: 5.742
Authors: Anita J Kumar; Soyoung Kim; Michael T Hemmer; Mukta Arora; Stephen R Spellman; Joseph A Pidala; Daniel R Couriel; Amin M Alousi; Mahmoud D Aljurf; Jean-Yves Cahn; Mitchell S Cairo; Corey S Cutler; Shatha Farhan; Usama Gergis; Gregory A Hale; Shahrukh K Hashmi; Yoshihiro Inamoto; Rammurti T Kamble; Mohamed A Kharfan-Dabaja; Margaret L MacMillan; David I Marks; Hideki Nakasone; Maxim Norkin; Muna Qayed; Olle Ringden; Harry C Schouten; Kirk R Schultz; Melhem M Solh; Takanori Teshima; Alvaro Urbano-Ispizua; Leo F Verdonck; Robert Peter Gale; Betty K Hamilton; Navneet S Majhail; Alison W Loren Journal: Blood Adv Date: 2018-05-08
Authors: K Kawamura; J Kanda; S Fuji; M Murata; K Ikegame; K Yoshioka; T Fukuda; Y Ozawa; N Uchida; K Iwato; T Sakura; M Hidaka; H Hashimoto; T Ichinohe; Y Atsuta; Y Kanda Journal: Bone Marrow Transplant Date: 2017-07-17 Impact factor: 5.483
Authors: Asad Bashey; Kouros Owzar; Jeffrey L Johnson; Peggy S Edwards; Michael Kelly; Lee-Ann Baxter-Lowe; Steven Devine; Sherif Farag; David Hurd; Edward Ball; Philip McCarthy; John Lister; Thomas C Shea; Charles Linker Journal: Biol Blood Marrow Transplant Date: 2010-07-30 Impact factor: 5.742
Authors: David Valcárcel; Jorge Sierra; Tao Wang; Fangyu Kan; Vikas Gupta; Gregory A Hale; David I Marks; Philip L McCarthy; Machteld Oudshoorn; Effie W Petersdorf; Olle Ringdén; Michelle Setterholm; Stephen R Spellman; Edmund K Waller; James L Gajewski; Susana R Marino; David Senitzer; Stephanie J Lee Journal: Biol Blood Marrow Transplant Date: 2010-07-30 Impact factor: 5.742
Authors: Sergio A Giralt; Charles F LeMaistre; Navneet S Majhail; Stephanie H Farnia; Paul A Carpenter; Richard E Champlin; Stephen Crawford; David I Marks; James L Omel; Paul J Orchard; Jeanne Palmer; Wael Saber; Bipin N Savani; Paul A Veys; Christopher N Bredeson Journal: Biol Blood Marrow Transplant Date: 2015-08-07 Impact factor: 5.742