The MicroRNA Expression Profile Differs Between Erythrodermic Mycosis Fungoides and Sézary Syndrome

Acta Derm Venereol. 2019 Nov 1;99(12):1148-1153. doi: 10.2340/00015555-3306.

Abstract

It is difficult to distinguish erythrodermic mycosis fungoides from Sézary syndrome due to their similar clinical and histological features. The main purpose of this study was to investigate whether microRNA expression profiles in lesional skin could discriminate patients with erythrodermic mycosis fungoides from those with Sézary syndrome. A further aim was to assess whether the microRNA expression profiles in erythrodermic mycosis fungoides skin was more comparable to microRNA expression profiles of Sézary syndrome or early-stage mycosis fungoides. RNA was extracted from diagnostic skin biopsies, followed by quantitative reverse transcription polymerase chain reaction analysis of 383 microRNAs. Twenty-seven microRNAs were significantly differentially expressed between erythro-dermic mycosis fungoides and Sézary syndrome. More-over, erythrodermic mycosis fungoides showed microRNA features overlapping with Sézary syndrome and early-stage mycosis fungoides, although hierarchical cluster analysis co-clustered erythrodermic mycosis fungoides with early-stage mycosis fungoides rather than with Sézary syndrome. These findings underscore that erythrodermic mycosis fungoides and Sézary syndrome are different diseases.

Keywords: mycosis fungoides, Sézary syndrome, cutaneous T cell lymphoma, microRNA.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Biomarkers, Tumor / genetics*
  • Female
  • Gene Expression Profiling
  • Genetic Predisposition to Disease
  • Humans
  • Male
  • MicroRNAs / genetics*
  • Middle Aged
  • Mycosis Fungoides / genetics*
  • Mycosis Fungoides / pathology
  • Neoplasm Staging
  • Phenotype
  • Retrospective Studies
  • Sezary Syndrome / genetics*
  • Sezary Syndrome / pathology
  • Skin Neoplasms / genetics*
  • Skin Neoplasms / pathology
  • Transcriptome*

Substances

  • Biomarkers, Tumor
  • MicroRNAs