Benjamin A Adam1, Naoka Murakami2, Graeme Reid3, Katie Du3, Ruqaya Jasim3, Christie L Boils4, Lihong Bu5, Peter D Hill6, Allan G Murray7, Karine Renaudin8, Candice Roufosse6, Astrid Weins9, Kevin Wen7, Leonardo V Riella10, Michael Mengel3. 1. Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada baadam@ualberta.ca. 2. Renal Division, Brigham and Women's Hospital, Boston, Massachusetts. 3. Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada. 4. Arkana Laboratories, Little Rock, Arkansas. 5. Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota. 6. Centre for Inflammatory Disease, Department of Immunology and Inflammation, Faculty of Medicine, Imperial College, London, United Kingdom. 7. Division of Nephrology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada. 8. Department of Pathology, Nantes University Hospital, Nantes, France. 9. Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts. 10. Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Abstract
BACKGROUND AND OBJECTIVES: Immune checkpoint inhibitors are increasingly used to treat various malignancies, but their application in patients with kidney transplants is complicated by high allograft rejection rates. Immune checkpoint inhibitor-associated rejection is a novel, poorly understood entity demonstrating overlapping histopathologic features with immune checkpoint inhibitor-associated acute interstitial nephritis, which poses a challenge for diagnosis and clinical management. We sought to improve the understanding of these entities through biopsy-based gene expression analysis. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: NanoString was used to measure and compare the expression of 725 immune-related genes in 75 archival kidney biopsies, including a 25-sample discovery cohort comprising pure T cell-mediated rejection and immune checkpoint inhibitor-associated acute interstitial nephritis and an independent 50-sample validation cohort comprising immune checkpoint inhibitor-associated acute interstitial nephritis, immune checkpoint inhibitor-associated T cell-mediated rejection, immune checkpoint inhibitor-associated crescentic GN, drug-induced acute interstitial nephritis, BK virus nephropathy, and normal biopsies. RESULTS: Significant molecular overlap was observed between immune checkpoint inhibitor-associated acute interstitial nephritis and T cell-mediated rejection. Nevertheless, IFI27, an IFN-α-induced transcript, was identified and validated as a novel biomarker for differentiating immune checkpoint inhibitor-associated T cell-mediated rejection from immune checkpoint inhibitor-associated acute interstitial nephritis (validation cohort: P<0.001, area under the receiver operating characteristic curve =100%, accuracy =86%). Principal component analysis revealed heterogeneity in inflammatory gene expression patterns within sample groups; however, immune checkpoint inhibitor-associated T cell-mediated rejection and immune checkpoint inhibitor-associated acute interstitial nephritis both demonstrated relatively more molecular overlap with drug-induced acute interstitial nephritis than T cell-mediated rejection, suggesting potential dominance of hypersensitivity mechanisms in these entities. CONCLUSIONS: These results indicate that, although there is significant molecular similarity between immune checkpoint inhibitor-associated rejection and acute interstitial nephritis, biopsy-based measurement of IFI27 gene expression represents a potential biomarker for differentiating these entities.
BACKGROUND AND OBJECTIVES: Immune checkpoint inhibitors are increasingly used to treat various malignancies, but their application in patients with kidney transplants is complicated by high allograft rejection rates. Immune checkpoint inhibitor-associated rejection is a novel, poorly understood entity demonstrating overlapping histopathologic features with immune checkpoint inhibitor-associated acute interstitial nephritis, which poses a challenge for diagnosis and clinical management. We sought to improve the understanding of these entities through biopsy-based gene expression analysis. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: NanoString was used to measure and compare the expression of 725 immune-related genes in 75 archival kidney biopsies, including a 25-sample discovery cohort comprising pure T cell-mediated rejection and immune checkpoint inhibitor-associated acute interstitial nephritis and an independent 50-sample validation cohort comprising immune checkpoint inhibitor-associated acute interstitial nephritis, immune checkpoint inhibitor-associated T cell-mediated rejection, immune checkpoint inhibitor-associated crescentic GN, drug-induced acute interstitial nephritis, BK virus nephropathy, and normal biopsies. RESULTS: Significant molecular overlap was observed between immune checkpoint inhibitor-associated acute interstitial nephritis and T cell-mediated rejection. Nevertheless, IFI27, an IFN-α-induced transcript, was identified and validated as a novel biomarker for differentiating immune checkpoint inhibitor-associated T cell-mediated rejection from immune checkpoint inhibitor-associated acute interstitial nephritis (validation cohort: P<0.001, area under the receiver operating characteristic curve =100%, accuracy =86%). Principal component analysis revealed heterogeneity in inflammatory gene expression patterns within sample groups; however, immune checkpoint inhibitor-associated T cell-mediated rejection and immune checkpoint inhibitor-associated acute interstitial nephritis both demonstrated relatively more molecular overlap with drug-induced acute interstitial nephritis than T cell-mediated rejection, suggesting potential dominance of hypersensitivity mechanisms in these entities. CONCLUSIONS: These results indicate that, although there is significant molecular similarity between immune checkpoint inhibitor-associated rejection and acute interstitial nephritis, biopsy-based measurement of IFI27 gene expression represents a potential biomarker for differentiating these entities.
Authors: J Reeve; J Sellarés; M Mengel; B Sis; A Skene; L Hidalgo; D G de Freitas; K S Famulski; P F Halloran Journal: Am J Transplant Date: 2013-01-28 Impact factor: 8.086
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Authors: M Haas; A Loupy; C Lefaucheur; C Roufosse; D Glotz; D Seron; B J Nankivell; P F Halloran; R B Colvin; Enver Akalin; N Alachkar; S Bagnasco; Y Bouatou; J U Becker; L D Cornell; J P Duong van Huyen; I W Gibson; Edward S Kraus; R B Mannon; M Naesens; V Nickeleit; P Nickerson; D L Segev; H K Singh; M Stegall; P Randhawa; L Racusen; K Solez; M Mengel Journal: Am J Transplant Date: 2018-01-21 Impact factor: 8.086