Abstract
We assessed proteomic patterns in breast cancer using MALDI MS and laser capture microdissected cells. Protein and peptide expression in invasive mammary carcinoma versus normal mammary epithelium and estrogen-receptor positive versus estrogen-receptor negative tumors were compared. Biomarker candidates were identified by statistical analysis and classifiers were developed and validated in blinded test sets. Several of the m/ z features used in the classifiers were identified by LC-MS/MS and two were confirmed by immunohistochemistry.
Publication types
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Research Support, N.I.H., Extramural
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Research Support, Non-U.S. Gov't
MeSH terms
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Adult
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Aged
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Algorithms
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Biomarkers, Tumor / analysis*
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Breast Neoplasms / diagnosis
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Breast Neoplasms / metabolism*
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Calgranulin A / analysis
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Cell Cycle Proteins / analysis
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Diagnosis, Differential
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Female
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Humans
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Immunohistochemistry
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Lasers
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Microdissection / methods*
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Middle Aged
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Proteomics / methods*
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Receptors, Estrogen / analysis
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Reproducibility of Results
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S100 Calcium Binding Protein A6
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S100 Proteins / analysis
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Sensitivity and Specificity
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Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*
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Ubiquitin / analysis
Substances
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Biomarkers, Tumor
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Calgranulin A
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Cell Cycle Proteins
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Receptors, Estrogen
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S100 Calcium Binding Protein A6
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S100 Proteins
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Ubiquitin
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S100A6 protein, human