Diagnosing rejection in renal transplants: A comparison of molecular- and histopathology-based approaches

J. Reeve, G. Einecke, M. Mengel, B. Sis, N. Kayser, B. Kaplan, P. F. Halloran

Research output: Contribution to journalArticle

122 Scopus citations

Abstract

The transcriptome has considerable potential for improving biopsy diagnoses. However, to realize this potential the relationship between the molecular phenotype of disease and histopathology must be established. We assessed 186 consecutive clinically indicated kidney transplant biopsies using microarrays, and built a classifier to distinguish rejection from nonrejection using predictive analysis of microarrays (PAM). Most genes selected by PAM were interferon-γ - inducible or cytotoxic T-cell associated, for example, CXCL9, CXCL11, GBP1 and INDO. We then compared the PAM diagnoses to those from histopathology, which are based on the Banff diagnostic criteria. Disagreement occurred in approximately 20% of diagnoses, principally because of idiosyncratic limitations in the histopathology scoring system. The problematic diagnosis of 'borderline rejection' was resolved by PAM into two distinct classes, rejection and nonrejection. The diagnostic discrepancies between Banff and PAM in these cases were largely due to the Banff system's requirement for a tubulitis threshold in defining rejection. By examining the discrepancies between gene expression and histopathology, we provide external validation of the main features of the histopathology diagnostic criteria (the Banff consensus system), recommend improvements and outline a pathway for introducing molecular measurements.

Original languageEnglish (US)
Pages (from-to)1802-1810
Number of pages9
JournalAmerican Journal of Transplantation
Volume9
Issue number8
DOIs
StatePublished - Aug 1 2009

Keywords

  • Allograft rejection
  • Banff schema
  • Microarrays
  • Prediction

ASJC Scopus subject areas

  • Immunology and Allergy
  • Transplantation
  • Pharmacology (medical)

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