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Targeted Proteomics Driven Verification of Biomarker Candidates Associated with Breast Cancer Aggressiveness
I. Procházková, J. Lenčo, P. Bouchal,
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
29196895
DOI
10.1007/7651_2017_111
Knihovny.cz E-resources
- MeSH
- Staining and Labeling methods MeSH
- Chromatography, Ion Exchange methods MeSH
- Mass Spectrometry methods MeSH
- Humans MeSH
- Biomarkers, Tumor analysis MeSH
- Breast Neoplasms diagnosis pathology MeSH
- Specimen Handling methods MeSH
- Proteome analysis MeSH
- Proteomics methods MeSH
- Breast pathology MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Breast cancer is the most common and molecularly well-characterized malignant cancer in women; however, its progression to metastatic cancer remains lethal for 78% of patients within 5 years of diagnosis. Identifying novel markers in high risk patients using quantitative methods is essential to overcome genetic, inter-tumor, and intra-tumor variability, and to translate novel findings into cancer diagnosis and treatment. Using untargeted proteomics, we recently identified 13 proteins associated with some key factors of breast cancer aggressiveness: estrogen receptors, tumor grade, and lymph node status. Here we verified these findings in a set of 96 tumors using targeted proteomics based on selected reaction monitoring with mTRAQ labeling (mTRAQ-SRM). This study highlights a panel of gene products that could contribute to breast cancer aggressiveness and metastasis, and can help develop more precise breast cancer treatments.
References provided by Crossref.org
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