Use of Anti-transcriptional Intermediary Factor-1 Gamma Autoantibody in Identifying Adult Dermatomyositis Patients with Cancer: A Systematic Review and Meta-analysis

Acta Derm Venereol. 2019 Mar 1;99(3):256-262. doi: 10.2340/00015555-3091.

Abstract

Anti-transcriptional intermediary factor-1γ (TIF-1γ) autoantibody may be associated with cancer in adult patients with dermatomyositis. The aim of this study was to evaluate the risk of cancer in the presence of anti-TIF-1γ autoantibody in adult dermatomyositis. A comprehensive database search of EMBASE, MEDLINE and the Cochrane Library up to May 2018 was performed using the main key words "dermatomyositis", ""myositis", "inflammatory myopathies" and "anti-TIF-1". Eighteen studies, with a total of 1,962 dermatomyositis, were included in the meta-analysis. The pooled prevalence of cancer-associated dermatomyositis in patients with anti-TIF-1γ autoantibody was 0.41 (95% confidence interval (CI) 0.36-0.45). In the presence of anti-TIF-1γ autoantibody, the overall diagnostic odds ratio of cancer was 9.37 (95% CI 5.37-16.34) with low heterogeneity (Cochran's Q: 14.88 (df = 17, p = 0.604); I2 = 0%). The results of this systematic review confirm that detection of anti-TIF-1γ autoantibody is a valuable tool to identify a subset of adult dermatomyositis patients with higher risk of cancer.

Keywords: cancer; dermatomyositis; meta-analysis; anti-transcriptional intermediary factor-1 autoantibody.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Autoantibodies / blood*
  • Autoantibodies / immunology
  • Dermatomyositis / blood*
  • Dermatomyositis / diagnosis
  • Dermatomyositis / epidemiology
  • Dermatomyositis / immunology
  • Humans
  • Neoplasms / blood*
  • Neoplasms / diagnosis
  • Neoplasms / epidemiology
  • Neoplasms / immunology
  • Predictive Value of Tests
  • Prevalence
  • Prognosis
  • Risk Assessment
  • Risk Factors
  • Transcription Factors / immunology*

Substances

  • Autoantibodies
  • TRIM33 protein, human
  • Transcription Factors