2014
DOI: 10.1016/j.trim.2013.08.006
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Translating in vitro prediction of cytotoxic T cell alloreactivity to hematopoietic stem cell transplantation outcome

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Cited by 13 publications
(16 citation statements)
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“…4,9,16,17 Considerable attention has also been given to the association between specific amino acid (AA) substitutions in mismatched HLA class I alleles and adverse outcome, 11,[18][19][20] resulting in a number of bio-informatic models for in silico outcome prediction. [21][22][23][24][25] For HLA class II, structural variability has been extensively studied in the context of solid organ transplantation, with some in silico models predictive of antibody formation and/or kidney transplant outcome already entered into clinical use. 26, 27 These models did not prove equally valid for HCT outcome prediction, 23,28 probably reflecting the more complex nature of HLA-peptide recognition by the T-cell receptor (TCR) compared with allo-antibodies.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…4,9,16,17 Considerable attention has also been given to the association between specific amino acid (AA) substitutions in mismatched HLA class I alleles and adverse outcome, 11,[18][19][20] resulting in a number of bio-informatic models for in silico outcome prediction. [21][22][23][24][25] For HLA class II, structural variability has been extensively studied in the context of solid organ transplantation, with some in silico models predictive of antibody formation and/or kidney transplant outcome already entered into clinical use. 26, 27 These models did not prove equally valid for HCT outcome prediction, 23,28 probably reflecting the more complex nature of HLA-peptide recognition by the T-cell receptor (TCR) compared with allo-antibodies.…”
Section: Introductionmentioning
confidence: 99%
“…[21][22][23][24][25] For HLA class II, structural variability has been extensively studied in the context of solid organ transplantation, with some in silico models predictive of antibody formation and/or kidney transplant outcome already entered into clinical use. 26, 27 These models did not prove equally valid for HCT outcome prediction, 23,28 probably reflecting the more complex nature of HLA-peptide recognition by the T-cell receptor (TCR) compared with allo-antibodies. 29,30 Here, we have addressed the functional role of AA polymorphism in HLA class II for clinical outcome of HCT in the context of nonpermissive TCE mismatches at HLA-DPB1, shown by some 4,9 but not all 31 multicenter studies to be associated with mortality after 10/10 HLA-matched unrelated HCT.…”
Section: Introductionmentioning
confidence: 99%
“…36,37 However it was not possible to reliably predict this lack of recognition by looking at the structural differences between the mismatched alleles. 38 It seems reasonable to predict that HLA disparities characterized by substitutions in the peptide binding site which significantly alter the set of pepHow to select the best available donor haematologica | 2016; 101(6) 683 tides presented by the HLA molecules will be more efficiently recognized by alloreactive T cells, whereas mismatches involving residues outside the peptide binding site are not expected to be recognized. Indeed a semiquantitative, in vitro measurement of CD8 + CD137 + alloreactive T cells in mixed lymphocyte reactions demonstrated that such a mismatch in the B44 serotype (i.e.…”
Section: Searching For 'Permissive' Mismatchesmentioning
confidence: 99%
“…A model to predict cytotoxic T-cell alloreactivity was based on an amino acid mismatch score depending on the position and physicochemical properties of the mismatched residues (40). After testing the model on 171 9/10 and 168 10/10 matched HSCT patients, these authors found out that the aa mismatch score did not predict clinical outcome (41). …”
Section: Recognition Of Hla-c Incompatibilities By Alloreactive T Cellsmentioning
confidence: 99%