scholarly journals 136: Optimatch® – Optimized Selection of Allele Matched Unrelated Donors from a Large Database

2008 ◽  
Vol 14 (2) ◽  
pp. 52 ◽  
Author(s):  
W. Bochtler ◽  
H.-P. Eberhard ◽  
M. Beth ◽  
C.R. Mueller
Blood ◽  
2012 ◽  
Vol 120 (2) ◽  
pp. 259-265 ◽  
Author(s):  
Stephen R. Spellman ◽  
Mary Eapen ◽  
Brent R. Logan ◽  
Carlheinz Mueller ◽  
Pablo Rubinstein ◽  
...  

Abstract Selection of a suitable graft for allogeneic hematopoietic stem cell transplantation involves consideration of both donor and recipient characteristics. Of primary importance is sufficient donor-recipient HLA matching to ensure engraftment and acceptable rates of GVHD. In this Perspective, the National Marrow Donor Program and the Center for International Blood and Marrow Transplant Research provide guidelines, based on large studies correlating graft characteristics with clinical transplantation outcomes, on appropriate typing strategies and matching criteria for unrelated adult donor and cord blood graft selection.


Hematology ◽  
2019 ◽  
Vol 2019 (1) ◽  
pp. 532-538 ◽  
Author(s):  
Katharina Fleischhauer

Abstract Matched unrelated donors (URD) are the most frequent source of stem cells for allogeneic hematopoietic cell transplantation (HCT) to date, with HCT performed mainly under conventional immunosuppression by methotrexate and cyclosporine. In this setting, every single allelic donor–recipient mismatch for HLA-A, -B, -C, -DRB1 (8/8), but not for HLA-DQB1, -DPB1, has a significant negative effect on overall survival (OS). When several 8/8 HLA-matched URD are available, donor age is the most important factor impacting OS. Moving forward from the traditional way of counting the number of donor–recipient HLA allele mismatches to biology-driven algorithms for functional matching has led to the unraveling of an association between permissive, low-risk HLA-DPB1 mismatches and improved outcome after URD HCT for malignant disease but not for nonmalignant disease. Functional HLA matching might prove to have increasing importance for URD selection in the era of new immunosuppressive regimens that have the potential to substantially reshuffle the role of HLA mismatches in URD HCT.


2020 ◽  
Author(s):  
Peter Ertl ◽  
Tim Schuhmann

AbstractNatural products (NPs) have evolved over a very long natural selection process to form optimal interactions with biologically relevant macromolecules. NPs are therefore an extremely useful source of inspiration for the design of new drugs. In the present study we report the results of a cheminformatics analysis of a large database of NP structures focusing on their scaffolds. First, general differences between NP scaffolds and scaffolds from synthetic molecules are discussed, followed by a comparison of the properties of scaffolds produced by different types of organisms. Scaffolds produced by plants are the most complex and those produced by bacteria differ in many structural features from scaffolds produced by other organisms. The results presented here may be used as a guidance in selection of scaffolds for the design of novel NP-like bioactive structures or NP-inspired libraries.


Blood ◽  
2019 ◽  
Vol 134 (12) ◽  
pp. 924-934 ◽  
Author(s):  
Jason Dehn ◽  
Stephen Spellman ◽  
Carolyn K. Hurley ◽  
Bronwen E. Shaw ◽  
Juliet N. Barker ◽  
...  

Abstract This Special Report, this month’s CME article, details evidence-based guidelines for the selection of optimal unrelated donors and cord blood units for allogeneic hematopoietic cell transplantation.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5846-5846
Author(s):  
Yu Wang ◽  
qi-Fa Liu ◽  
de-Pei Wu ◽  
Xiao-jun Huang

Abstract Background The best donor for a haematopoietic cell transplant in a person with acute myeloid leukaemia (AML) in 1st remission is controversial. Prior data indicate similar outcomes after transplants from HLA-haplotype-matched relatives, HLA-identical siblings and HLA-matched unrelated donors. Methods We analyzed data from persons with intermediate- or high-risk AML in 1st complete remission (CR1) treated in a prospective, multi-centre study. Results 602 consecutive subjects received a transplant from an HLA-haplotype-matched relative (N=328) or an HLA-identical sibling (N=274). 4 year leukaemia-free survivals were 78% (95% confidence interval [CI], 73, 83%) and 80% (75, 85%; P=0.39). In multivariate analyses younger donor/recipient age (donor<30y-receipient<30y) was associated with less transplant-related-mortality (TRM) (hazard ratio [HR)=0.25; [0.06, 1.00]; P=0.05) whereas female-to-male transplants (HR=1.93; [1.10, 3.38; P=0.02) and donor-recipient ABO major-mismatch transplants (HR=1.95 [1.12, 3.38; P=0.02) were correlated with higher TRM. A risk score was generated based on donor/recipient age, gender and ABO-incompatibility. The scoring system predicted TRM and survival. TRMs were 5% (3, 7%), 15% (10, 20%) and 20% (4, 36%) for subjects with scores of 0-1, 2 and 3 (trend comparison P<0.001). 4 year survivals were 85% (81, 89%), 77% (71, 83%), and 75% (59, 91%; trend comparison P=0.04). Conclusions In contrast to the lack of impact of HLA-disparity on transplant outcomes, selection of the best donor needs to consider D/R age, sex and ABO-incompatibility combined together. Our data suggest choosing young, male, ABO match/minor-mismatch donors is reasonable. Transplants from older female-to-male and from ABO major-mismatched donors should probably be avoided. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Maddalena Cavicchioli ◽  
Angeliki Papana ◽  
Ariadni Papana Dagiasis ◽  
Barbara Pistoresi

A non-parametric efficient statistical method, Random Forests, is implemented for the selection of the determinants of Central Bank Independence (CBI) among a large database of economic, political, and institutional variables for OECD countries. It permits ranking all the determinants based on their importance in respect to the CBI and does not impose a priori assumptions on potential nonlinear relationships in the data. Collinearity issues are resolved, because correlated variables can be simultaneously considered.


Author(s):  
Swamy Babu Nidamanuri ◽  
R. Lakshmi Tulasi

So many number of algorithms have been proposed for the discovery of data from the large database. However, since the number of generated patterns can be large, selecting which patterns to analyze can be nontrivial. There is thus a need for algorithms and tools that can assist in the selection of discovered patterns so that subsequent analysis can be performed in an efficient and, ideally, interactive manner. In this project, we propose a mark-based indexing method to optimize the storage and retrieval of a relative data’s from the large database.


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