Validated gene expression biomarker analysis for biopsy-based clinical trials in ulcerative colitis

Aliment Pharmacol Ther. 2014 Sep;40(5):477-85. doi: 10.1111/apt.12862. Epub 2014 Jul 13.

Abstract

Background: Accurate and reproducible measurement of expression of pro-inflammatory cytokines in colonic biopsies from patients with ulcerative colitis (UC) is essential for proof-of-concept and mechanism-of-action studies. Few studies have rigorously established the number of biopsies required for accurate and reproducible biomarker measurements.

Aim: To validate methods for measuring changes in gene expression in colonic biopsy samples.

Methods: Twelve colonic biopsies were obtained from each of six healthy controls, six patients with inactive UC and seven patients with active UC. Mayo endoscopic scores were used as a clinical reference standard. Quantitative PCR was used to assess mRNA expression of eight known inflammatory genes. The power to detect a reduction in gene expression in active vs. inactive UC was calculated using a linear mixed effect model.

Results: mRNA analysis of colonic biopsies is a sensitive and feasible approach for measuring inflammatory gene expression in colonic biopsies. Inflammatory biomarkers correlate with Mayo endoscopic subscores for each colonic region. For most genes, three rectal biopsies from two to four patients are required to detect changes in gene expression corresponding to active vs. inactive UC to achieve a power of 80% with an alpha of 0.05.

Conclusion: Our data suggest that systematic measurement of inflammatory biomarkers at the mRNA level can be a valuable tool for hypothesis testing, and assessment of clinical activity and response to therapy in ulcerative colitis.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Aged
  • Biomarkers / analysis
  • Biopsy
  • Clinical Trials as Topic
  • Colitis, Ulcerative / genetics*
  • Colitis, Ulcerative / pathology
  • Colon / metabolism
  • Colon / pathology
  • Cytokines / genetics*
  • Female
  • Gene Expression Regulation*
  • Humans
  • Male
  • Middle Aged
  • RNA, Messenger / metabolism

Substances

  • Biomarkers
  • Cytokines
  • RNA, Messenger