Back to Search
Start Over
Surface-enhanced Laser Desorption/Ionisation Time-of-flight Mass Spectrometry to Detect Breast Cancer Markers in Tears and Serum.
- Source :
-
Cancer genomics & proteomics [Cancer Genomics Proteomics] 2009 Mar-Apr; Vol. 6 (2), pp. 75-83. - Publication Year :
- 2009
-
Abstract
- Background: New biomarkers are needed to improve the early detection of breast cancer. This study describes the use of surface-enhanced laser desorption/ionisation time-of-flight mass spectroscopy (SELDI-TOF-MS) in serum and tear fluid.<br />Materials and Methods: Blood and tear fluid of 10 women with breast cancer and 10 healthy age-matched women were screened for potential biomarkers. Blood samples and tear fluid were drawn prior to surgery. SELDI-TOF-MS were used for protein profiling with three different active surfaces of the protein chips. The data were analyzed by multivariate statistical techniques and artificial neural networks.<br />Results: Complex protein and peptide patterns were found on all three surfaces. We identified the main proteins in tear fluid. Statistically significant differences in the protein pattern (p<0.001) were found between breast cancer patients and healthy controls. The diagnostic pattern differentiated cancer patients from controls with a specificity and sensitivity of approximately 90% in serum and tear fluid.<br />Conclusion: Protein chip technology facilitates the discovery of new and better biomarkers in breast cancer. It is a promising approach to analyse a large number of patients with high sensitivity and specificity. Analysing tear fluid could show some advantages.
- Subjects :
- Biomarkers, Tumor blood
Case-Control Studies
Humans
Multivariate Analysis
Neural Networks, Computer
Prospective Studies
Proteomics
Sensitivity and Specificity
Biomarkers, Tumor analysis
Breast Neoplasms diagnosis
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization methods
Tears chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1109-6535
- Volume :
- 6
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Cancer genomics & proteomics
- Publication Type :
- Academic Journal
- Accession number :
- 19451091