Immunohistochemical evaluation of MYC expression in mantle cell lymphoma

Matthew J Oberley1, Saurabh A Rajguru, Chong Zhang

  • 1Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, USA.

Histopathology
|August 10, 2013
PubMed

Insights

Evaluating MYC expression using immunohistochemistry (IHC) in mantle cell lymphoma (MCL) is valid and reproducible. This method independently predicts patient outcomes, offering clinical utility for managing MCL.

Area of Science:

  • Hematology
  • Oncology
  • Molecular Pathology

Background:

  • Mantle cell lymphoma (MCL) is an aggressive non-Hodgkin lymphoma.
  • Accurate prognostic markers are crucial for MCL management.
  • MYC expression is implicated in lymphomagenesis and may impact clinical outcomes.

Purpose of the Study:

  • To evaluate the accuracy and reproducibility of MYC protein expression assessment by immunohistochemistry (IHC) in MCL.
  • To determine if MYC IHC is a clinically useful predictor of outcomes in MCL patients.

Main Methods:

  • MYC protein expression was assessed using a novel monoclonal antibody via IHC on a tissue microarray of 62 MCL cases and 29 controls.
  • Inter-observer agreement was evaluated, and MYC IHC scores were correlated with MYC mRNA expression and Ki67 proliferation index.
  • Multivariate analysis was performed to assess MYC IHC as an independent predictor of progression-free survival (PFS) and overall survival (OS), adjusting for clinical factors.

Main Results:

  • High inter-observer correlation (intra-class correlation = 0.98) was achieved for MYC IHC scoring.
  • MYC IHC scores strongly correlated with MYC mRNA expression (Spearman's rho = 0.69, P < 0.0001) and weakly with Ki67 (Spearman's rho = 0.30, P = 0.03).
  • MYC IHC score independently predicted both PFS (HR 2.34, P = 0.0009) and OS (HR 1.90, P = 0.034) in MCL patients.

Conclusions:

  • A new monoclonal anti-MYC antibody allows for accurate and reproducible MYC expression assessment in MCL via IHC.
  • MYC IHC is a valid and independent prognostic biomarker for predicting clinical outcomes in MCL.
Abstract

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