Hao Zhang, Randy S Haun, Francois Collin, Clarissa Cassol, Johnathan O H Napier, Jon Wilson, Samar Hassen, Kerime Ararat, Christie Boils, Nidia Messias, Tiffany N Caza, L Nicholas Cossey, Shree Sharma, Josephine M Ambruzs, Nikhil Agrawal, Grigoriy Shekhtman, Wenlan Tian, Titte Srinivas, Kunbin Qu, Robert N Woodward, Christopher P Larsen, Steven Stone, Shana M Coley
Gene expression profiling (GEP) from formalin-fixed paraffin-embedded (FFPE) renal allograft biopsies is a promising approach for feasibly providing a molecular diagnosis of rejection. However, large-scale studies evaluating the performance of models using NanoString platform data to define molecular archetypes of rejection are lacking. We tested a diverse retrospective cohort of over 1400 FFPE biopsy specimens, rescored according to Banff 2019 criteria and representing ten of 11 UNOS regions, using the Banff Human Organ Transplant (B-HOT) panel from NanoString and developed a multi-class model from the gene expression data to assign relative probabilities of four molecular archetypes: No Rejection, Antibody-Mediated Rejection (ABMR), T cell-Mediated Rejection (TCMR), and Mixed Rejection...
December 11, 2023: Laboratory Investigation; a Journal of Technical Methods and Pathology