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A xenograft mouse model coupled with in-depth plasma proteome analysis facilitates identification of novel serum biomarkers for human ovarian cancer.
- Source :
-
Journal of proteome research [J Proteome Res] 2012 Feb 03; Vol. 11 (2), pp. 678-91. Date of Electronic Publication: 2011 Nov 18. - Publication Year :
- 2012
-
Abstract
- Proteomics discovery of novel cancer serum biomarkers is hindered by the great complexity of serum, patient-to-patient variability, and triggering by the tumor of an acute-phase inflammatory reaction. This host response alters many serum protein levels in cancer patients, but these changes have low specificity as they can be triggered by diverse causes. We addressed these hurdles by utilizing a xenograft mouse model coupled with an in-depth 4-D protein profiling method to identify human proteins in the mouse serum. This strategy ensures that identified putative biomarkers are shed by the tumor, and detection of low-abundance proteins shed by the tumor is enhanced because the mouse blood volume is more than a thousand times smaller than that of a human. Using TOV-112D ovarian tumors, more than 200 human proteins were identified in the mouse serum, including novel candidate biomarkers and proteins previously reported to be elevated in either ovarian tumors or the blood of ovarian cancer patients. Subsequent quantitation of selected putative biomarkers in human sera using label-free multiple reaction monitoring (MRM) mass spectrometry (MS) showed that chloride intracellular channel 1, the mature form of cathepsin D, and peroxiredoxin 6 were elevated significantly in sera from ovarian carcinoma patients.
- Subjects :
- Amino Acid Sequence
Animals
Case-Control Studies
Cathepsin D blood
Cell Line, Tumor
Chloride Channels blood
Chloride Channels chemistry
Chloride Channels metabolism
Disease Models, Animal
Female
Humans
Mice
Molecular Sequence Data
Peroxiredoxin VI blood
ROC Curve
Reproducibility of Results
Sequence Alignment
Species Specificity
Transplantation, Heterologous
Biomarkers, Tumor blood
Blood Proteins analysis
Neoplasm Proteins blood
Ovarian Neoplasms blood
Proteome analysis
Proteomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1535-3907
- Volume :
- 11
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of proteome research
- Publication Type :
- Academic Journal
- Accession number :
- 22032327
- Full Text :
- https://doi.org/10.1021/pr200603h