Introduction Organ allocation to minimize Human Leukocyte Antigens (HLA) disparity between donor and recipient has been shown to improve outcomes but is limited by the enormous HLA diversity. PIRCHE-II in silico model considers the HLA peptide binding characteristics of recipients to quantitate molecular compatibility. Having previously published the feasibility of including B-cell eplets into simplified, simulated match algorithms, here we assess the feasibility of using PIRCHE-II epitope optimised allocation, in a cohort of ~1500 heterogenous renal patients and donors within the National Canadian organ transplant program. Methods This test-bed-only analysis provides critical first steps to understanding if prospective matching is indeed feasible, in a Canadian transplant population. Results Simplified base-case simulation models optimizing for PIRCHE-II score demonstrate that molecular matching across all 5 HLA gene loci (A, B, C, DR, DQ) is achievable in 10% of patients, and hence would not be realistic for clinical allocation. In contrast, molecular matching with a low PIRCHE-II score at the principal HLA class II DRB1 or DQB1 loci may be achieved in over 90% of patients compared with the base-case scenario. Discussion In reality, the precise matching probability is governed by multiple factors including waiting-list size, donor organ factors, and other allocation restrictions (i.e. ABO blood type, presence of anti-HLA antibodies, clinical urgency), which would further impact match probability.
Sherwood et al. (Tue,) studied this question.