Evaluation of Biopsy-Based Molecular Risk Prediction in Crescentic Glomerulonephritis.

ABSTRACT:

Introduction

Novel molecular tools have the potential to improve current clinical and histology-based risk classification systems for various medical renal diseases including glomerulonephritis (GN). We aimed to assess the utility of gene expression for improving biopsy-based risk prediction in patients with GN with and without crescent formation.

Methods

This retrospective case-control study used NanoString nCounter to measure the expression of 54 previously described inflammation, nephron injury, endothelium, and crescent-related genes in 335 archival, formalin-fixed paraffin-embedded native kidney biopsies, including a 288-biopsy discovery cohort representing a broad spectrum of crescentic GN subtypes, and an independent 47-biopsy validation cohort focused on ANCA-associa

SUBMITTER: Adam BA 

PROVIDER: S-EPMC12695120 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature