Literature DB >> 23915426

Potential impact of microarray diagnosis of T cell-mediated rejection in kidney transplants: The INTERCOM study.

P F Halloran1, A B Pereira, J Chang, A Matas, M Picton, D De Freitas, J Bromberg, D Serón, J Sellarés, G Einecke, J Reeve.   

Abstract

We previously developed a microarray-based test for T cell-mediated rejection (TCMR) in a reference set of 403 biopsies. To determine the potential impact of this test in clinical practice, we undertook INTERCOM, a prospective international study of 300 indication biopsies from 264 patients (ClinicalTrials.gov NCT01299168). Biopsies from six centers-Baltimore, Barcelona, Edmonton, Hannover, Manchester and Minneapolis-were analyzed by microarrays, assigning TCMR scores by an algorithm developed in the reference set and comparing TCMR scores to local histology assessment. The TCMR score correlated with histologic TCMR lesions-tubulitis and interstitial infiltration. The accuracy for primary histologic diagnoses (0.87) was similar to the reference set (0.89). The TCMR scores reclassified 77/300 biopsies (26%): 16 histologic TCMR were molecularly non-TCMR; 15 histologic non-TCMR were molecularly TCMR, including 6 with polyoma virus nephropathy; and all 46 "borderline" biopsies were reclassified as TCMR (8) or non-TCMR (38). Like the reference set, discrepancies were primarily in situations where histology has known limitations, for example, in biopsies with scarring and inflammation/tubulitis potentially from other diseases. Neither the TCMR score nor histologic TCMR was associated with graft loss. Thus the molecular TCMR score has potential to add new insight, particularly in situations where histology is ambiguous or potentially misleading. © Copyright 2013 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  Classifier; T cell-mediated rejection; kidney transplant; microarrays; molecular diagnostics

Mesh:

Substances:

Year:  2013        PMID: 23915426     DOI: 10.1111/ajt.12387

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  46 in total

Review 1.  Transplantation immunology in 2013: New approaches to diagnosis of rejection.

Authors:  Nicholas A Zwang; Laurence A Turka
Journal:  Nat Rev Nephrol       Date:  2013-12-17       Impact factor: 28.314

2.  Methods to increase reproducibility in differential gene expression via meta-analysis.

Authors:  Timothy E Sweeney; Winston A Haynes; Francesco Vallania; John P Ioannidis; Purvesh Khatri
Journal:  Nucleic Acids Res       Date:  2016-09-14       Impact factor: 16.971

3.  Reassessing the Significance of Intimal Arteritis in Kidney Transplant Biopsy Specimens.

Authors:  Israel D R Salazar; Maribel Merino López; Jessica Chang; Philip F Halloran
Journal:  J Am Soc Nephrol       Date:  2015-04-27       Impact factor: 10.121

4.  Disappearance of T Cell-Mediated Rejection Despite Continued Antibody-Mediated Rejection in Late Kidney Transplant Recipients.

Authors:  Philip F Halloran; Jessica Chang; Konrad Famulski; Luis G Hidalgo; Israel D R Salazar; Maribel Merino Lopez; Arthur Matas; Michael Picton; Declan de Freitas; Jonathan Bromberg; Daniel Serón; Joana Sellarés; Gunilla Einecke; Jeff Reeve
Journal:  J Am Soc Nephrol       Date:  2014-11-06       Impact factor: 10.121

Review 5.  What's new in clinical solid organ transplantation by 2013.

Authors:  Maurizio Salvadori; Elisabetta Bertoni
Journal:  World J Transplant       Date:  2014-12-24

6.  Key driver genes as potential therapeutic targets in renal allograft rejection.

Authors:  Zhengzi Yi; Karen L Keung; Li Li; Min Hu; Bo Lu; Leigh Nicholson; Elvira Jimenez-Vera; Madhav C Menon; Chengguo Wei; Stephen Alexander; Barbara Murphy; Philip J O'Connell; Weijia Zhang
Journal:  JCI Insight       Date:  2020-08-06

Review 7.  Biomarkers to detect rejection after kidney transplantation.

Authors:  Vikas R Dharnidharka; Andrew Malone
Journal:  Pediatr Nephrol       Date:  2017-06-19       Impact factor: 3.714

8.  Assessing rejection-related disease in kidney transplant biopsies based on archetypal analysis of molecular phenotypes.

Authors:  Jeff Reeve; Georg A Böhmig; Farsad Eskandary; Gunilla Einecke; Carmen Lefaucheur; Alexandre Loupy; Philip F Halloran
Journal:  JCI Insight       Date:  2017-06-15

9.  Relationships among injury, fibrosis, and time in human kidney transplants.

Authors:  Jeffery M Venner; Konrad S Famulski; Jeff Reeve; Jessica Chang; Philip F Halloran
Journal:  JCI Insight       Date:  2016-01-21

Review 10.  Molecular assessment of disease states in kidney transplant biopsy samples.

Authors:  Philip F Halloran; Konrad S Famulski; Jeff Reeve
Journal:  Nat Rev Nephrol       Date:  2016-06-27       Impact factor: 28.314

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