VICTOR

VICTOR performs probabilistic virtual crossmatching to interpret ambiguous molecular HLA typing and assess donor–candidate compatibility for organ transplantation.

Key Features:

• Handling Ambiguity: Compares a candidate’s listed unacceptable antigens against computed probabilities of all possible two-field donor HLA alleles and UNOS (United Network for Organ Sharing) antigens to address ambiguous molecular HLA typing.
• Automated Interpretation: Automates interpretation of molecular HLA typing data to reduce variability in decision-making across cases.
• Influence on VXM Decisions: Provides automated interpretations that have been shown by historical analyses to affect virtual crossmatch (VXM) decisions and consequently organ offer outcomes.

Scientific Applications:

• Mitigating immunological risk: Reduces uncertainty from ambiguous HLA typing to lower the risk of antibody-mediated incompatibility between donor and recipient.
• Standardizing molecular typing interpretation: Provides consistent, probability-based evaluations of two-field HLA alleles and UNOS antigens to standardize interpretation across cases.
• Informing VXM and allocation decisions: Supplies probabilistic compatibility assessments that can influence virtual crossmatch decisions and organ offer acceptance or refusal.

Methodology:

Computationally matches candidate-specific unacceptable antigens against a probabilistic model of donor alleles by computing probabilities for all possible two-field donor HLA alleles and mapping those probabilities to UNOS antigens.