Key result
Molecular diagnostics for heart allograft rejection demonstrated as little as 40% concordance with histologic diagnoses, highlighting the need for more rigorous validation studies.
Why the study?
Histologic separation of injury, T cell-mediated rejection, or antibody-mediated rejection in allograft heart biopsies is difficult, prompting an evaluation of caveats in using molecular diagnostics to distinguish these entities.
Does molecular diagnostics accurately distinguish between injury, T cell-mediated rejection, and antibody-mediated rejection in heart allograft biopsies compared to histology?
Does molecular diagnostics accurately distinguish between injury, T cell-mediated rejection, and antibody-mediated rejection in heart allograft biopsies compared to histology?
Current molecular diagnostic methods for heart allograft biopsies have significant limitations and low concordance with histology, requiring more rigorous validation and potentially the incorporation of spatial transcriptomics.
MDX for heart allograft rejection carries sampling and reproducibility limits; leaves open need for histology-independent validation before adoption.
Histologic separation of injury, T cell-mediated rejection, or antibody-mediated rejection in allograft heart biopsies is difficult. A critical review of publications was performed to evaluate the caveats of using molecular diagnostics (MDX) to distinguish between these entities. Typically, only 1 to 2 fragments of unknown histologic appearance are evaluated. Archetype and molecular classifier analyses use gene lists derived from histologic labels and associated reproducibility issues influence the accuracy of the derived MDX classes. Archetypes A1, A2, and A3 archetypes created by bioinformatics were renamed no rejection, T cell-mediated rejection, and antibody-mediated rejection despite as little as 40% concordance with histologic diagnoses and overlapping archetype scores. Additional archetypes S4 and minor injury were created using arbitrary cutoffs based on visual examination of principal component analysis plots. Therapeutic implications of the numerous discrepancies with histology remain unexplored. Many MDX-derived observations are ambiguous and open to alternate logical explanations. Better molecular methods and more rigorous validation studies are needed to advance the field. Ideally, these methods should analyze all available biopsy fragments to minimize sampling issues. It is also desirable to incorporate spatial transcriptomics into the workflow, so that gene expression data can be directly compared with the underlying histology lesions.
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Parmjeet Randhawa (2024) conducted a review in Heart allograft rejection. Molecular diagnostics (MDX) vs. Histologic diagnoses was evaluated on Concordance with histologic diagnoses. Molecular diagnostics for heart allograft rejection demonstrated as little as 40% concordance with histologic diagnoses, highlighting the need for more rigorous validation studies.
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