A combined biomarker pattern improves the discrimination of lung cancer

Biomarkers. 2011 Feb;16(1):20-30. doi: 10.3109/1354750X.2010.521257. Epub 2010 Oct 22.

Abstract

A total of 227 sera were analysed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) to find novel serum biomarkers for lung cancer. The results showed that the 11.53, 11.70, 13.78, 13.90 and 14.07 k m/z peaks identified as native serum amyloid A (SAA), SAA with N-terminal Arg cleaved, native transthyretin (TTR) and its two variants significantly differentiated lung cancer sera from normal control sera (p <0.01). A 'biomarker pattern' combining SAA and TTR was tested to distinguish lung cancer patients from normal control individuals, and the diagnostic positive rate of lung cancer was improved to 91.6%.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma / blood
  • Adenocarcinoma / diagnosis
  • Adenocarcinoma of Lung
  • Adult
  • Aged
  • Biomarkers / blood
  • Carcinoma, Squamous Cell / blood
  • Carcinoma, Squamous Cell / diagnosis
  • Electrophoresis, Polyacrylamide Gel
  • Enzyme-Linked Immunosorbent Assay
  • Female
  • Humans
  • Immunoprecipitation
  • Lung Neoplasms / blood*
  • Lung Neoplasms / diagnosis*
  • Male
  • Middle Aged
  • Prealbumin / analysis
  • Prealbumin / immunology
  • Prealbumin / metabolism*
  • Protein Array Analysis
  • Sensitivity and Specificity
  • Serum Amyloid A Protein / analysis
  • Serum Amyloid A Protein / immunology
  • Serum Amyloid A Protein / metabolism*
  • Small Cell Lung Carcinoma / blood
  • Small Cell Lung Carcinoma / diagnosis
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Substances

  • Biomarkers
  • Prealbumin
  • Serum Amyloid A Protein