Centre for Inflammatory Disease, Dept Immunology and Inflammation, Faculty of Medicine, Imperial College, London, UK.
Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Clin Transplant. 2020 Nov;34(11):e14065. doi: 10.1111/ctr.14065. Epub 2020 Aug 30.
Pancreas transplant longevity is limited by immune rejection, which is diagnosed by graft biopsy using the Banff Classification. The histological criteria for antibody-mediated rejection (AMR) are poorly reproducible and inconsistently associated with outcome. We hypothesized that a 34-gene set associated with antibody-mediated rejection in other solid organ transplants could improve diagnosis in pancreas grafts. The AMR 34-gene set, comprising endothelial, natural killer cell and inflammatory genes, was quantified using the NanoString platform in 52 formalin-fixed, paraffin-embedded pancreas transplant biopsies from 41 patients: 15 with pure AMR or mixed rejection, 22 with T cell-mediated rejection/borderline and 15 without rejection. The AMR 34-gene set was significantly increased in pure AMR and mixed rejection (P = .001) vs no rejection. The gene set predicted histological AMR with an area under the receiver operating characteristic curve (ROC AUC) of 0.714 (P = .004). The AMR 34-gene set was the only biopsy feature significantly predictive of allograft failure in univariate analysis (P = .048). Adding gene expression to DSA and histology increased ROC AUC for the prediction of failure from 0.736 to 0.770, but this difference did not meet statistical significance. In conclusion, assessment of transcripts has the potential to improve diagnosis and outcome prediction in pancreas graft biopsies.
胰腺移植的长期效果受到免疫排斥的限制,这种排斥可以通过使用 Banff 分类的移植物活检来诊断。抗体介导的排斥反应(AMR)的组织学标准重复性差,与结果的相关性不一致。我们假设,与其他实体器官移植中的抗体介导排斥反应相关的 34 个基因集可改善胰腺移植物的诊断。使用 NanoString 平台在 41 名患者的 52 份福尔马林固定、石蜡包埋的胰腺移植活检标本中定量分析了 AMR 34 个基因集,包括内皮细胞、自然杀伤细胞和炎症基因,其中 15 例为单纯 AMR 或混合排斥反应,22 例为 T 细胞介导的排斥反应/边界性,15 例无排斥反应。单纯 AMR 和混合排斥反应(P =.001)中 AMR 34 个基因集显著增加。该基因集预测组织学 AMR 的受试者工作特征曲线(ROC AUC)为 0.714(P =.004)。在单变量分析中,AMR 34 个基因集是唯一与移植物失败显著相关的活检特征(P =.048)。将基因表达与 DSA 和组织学相结合,可使失败预测的 ROC AUC 从 0.736 增加到 0.770,但这一差异没有统计学意义。总之,评估转录本有可能改善胰腺移植物活检的诊断和结果预测。