Proteomic detection of cancer in asbestosis patients using SELDI-TOF discovered serum protein biomarkers.

Abstract

OBJECTIVES:

To identify biomarkers for cancer in asbestosis patients.

METHODS:

SELDI-TOF and CART were used to identify serum biomarker profiles in 35 asbestosis patients who subsequently developed cancer and 35 did not develop cancer.

RESULTS:

Three polypeptide peaks (5707.01, 6598.10, and 20,780.70 Da) could predict the development of cancer with 87% sensitivity and 70% specificity. The first two peaks were identified as KIF18A and KIF5A, respectively, and are part of the Kinesin Superfamily of proteins.

CONCLUSIONS:

We identified two Kinesin proteins that can be potentially used as blood biomarkers to identify asbestosis patients at risk of developing lung cancer.

• Authors: Brian C Tooker, Lee S Newman, Russell P Bowler, Antti Karjalainen, Panu Oksa, Harri Vainio, Eero Pukkala, Paul W Brandt-Rauf
• Journal: Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals (Biomarkers) Vol. 16 Issue 2 Pg. 181-91 (Mar 2011) ISSN: 1366-5804 [Electronic] England
• PMID: 21231887 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, U.S. Gov't, P.H.S.)

Chemical References

• Biomarkers, Tumor
• Blood Proteins
• KIF5A protein, human
• KIF18A protein, human
• Kinesins

Topics

• Adenocarcinoma (blood, etiology, physiopathology)
• Adenocarcinoma of Lung
• Asbestosis (blood, complications, physiopathology)
• Biomarkers, Tumor (blood)
• Blood Proteins (analysis)
• Case-Control Studies
• Cohort Studies
• Female
• Finland
• Humans
• Kinesins (blood)
• Longitudinal Studies
• Lung Neoplasms (blood, etiology, physiopathology)
• Male
• Middle Aged
• Proteomics
• Risk Factors
• Sensitivity and Specificity
• Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization