A structured proteomic approach identifies 14-3-3Sigma as a novel and reliable protein biomarker in panel based differential diagnostics of liver tumors

Biochim Biophys Acta. 2015 Jun;1854(6):641-50. doi: 10.1016/j.bbapap.2014.10.024. Epub 2014 Nov 5.

Abstract

Hepatocellular carcinoma (HCC) is a major lethal cancer worldwide. Despite sophisticated diagnostic algorithms, the differential diagnosis of small liver nodules still is difficult. While imaging techniques have advanced, adjuvant protein-biomarkers as glypican3 (GPC3), glutamine-synthetase (GS) and heat-shock protein 70 (HSP70) have enhanced diagnostic accuracy. The aim was to further detect useful protein-biomarkers of HCC with a structured systematic approach using differential proteome techniques, bring the results to practical application and compare the diagnostic accuracy of the candidates with the established biomarkers. After label-free and gel-based proteomics (n=18 HCC/corresponding non-tumorous liver tissue (NTLT)) biomarker candidates were tested for diagnostic accuracy in immunohistochemical analyses (n=14 HCC/NTLT). Suitable candidates were further tested for consistency in comparison to known protein-biomarkers in HCC (n=78), hepatocellular adenoma (n=25; HCA), focal nodular hyperplasia (n=28; FNH) and cirrhosis (n=28). Of all protein-biomarkers, 14-3-3Sigma (14-3-3S) exhibited the most pronounced up-regulation (58.8×) in proteomics and superior diagnostic accuracy (73.0%) in the differentiation of HCC from non-tumorous hepatocytes also compared to established biomarkers as GPC3 (64.7%) and GS (45.4%). 14-3-3S was part of the best diagnostic three-biomarker panel (GPC3, HSP70, 14-3-3S) for the differentiation of HCC and HCA which is of most important significance. Exclusion of GS and inclusion of 14-3-3S in the panel (>1 marker positive) resulted in a profound increase in specificity (+44.0%) and accuracy (+11.0%) while sensitivity remained stable (96.0%). 14-3-3S is an interesting protein biomarker with the potential to further improve the accuracy of differential diagnostic process of hepatocellular tumors. This article is part of a Special Issue entitled: Medical Proteomics.

Keywords: 14-3-3Sigma; Biomarker panel; Hepatocellular carcinoma; Immunohistochemistry; Label free proteomics; Stratifin.

MeSH terms

  • 14-3-3 Proteins / metabolism*
  • Adult
  • Aged
  • Biomarkers, Tumor / metabolism*
  • Carcinoma, Hepatocellular* / diagnosis
  • Carcinoma, Hepatocellular* / metabolism
  • Diagnosis, Differential
  • Female
  • Humans
  • Liver Neoplasms* / diagnosis
  • Liver Neoplasms* / metabolism
  • Male
  • Middle Aged
  • Neoplasm Proteins / metabolism*
  • Sensitivity and Specificity

Substances

  • 14-3-3 Proteins
  • Biomarkers, Tumor
  • Neoplasm Proteins