Abstract
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.
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Abbreviations
- DDA:
-
Data-dependent acquisition
- ER:
-
Estrogen receptor
- G1:
-
Tumor grade 1
- G3:
-
Tumor grade 3
- iTRAQ:
-
Isobaric tags for relative and absolute quantitation
- MIDAS™:
-
MRM initiated detection and sequencing
- mTRAQ:
-
Mass differential tags for relative and absolute quantification
- mTRAQ-SRM:
-
Selected reaction monitoring with mTRAQ labeling
- PR:
-
Progesterone receptor
- SRM:
-
Selected reaction monitoring
- TEAB:
-
Triethylammonium bicarbonate
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Acknowledgments
We would like to thank Rudolf Nenutil for his pathological guidance. We also thank Parhom Towfighi (UCSF Medical Centre) for his work on editing for the book. This work was supported by Czech Science Foundation (Project No. 17-05957S).
No conflict of interests.
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Procházková, I., Lenčo, J., Bouchal, P. (2017). Targeted Proteomics Driven Verification of Biomarker Candidates Associated with Breast Cancer Aggressiveness. In: Sarwal, M., Sigdel, T. (eds) Tissue Proteomics. Methods in Molecular Biology, vol 1788. Humana Press, New York, NY. https://doi.org/10.1007/7651_2017_111
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DOI: https://doi.org/10.1007/7651_2017_111
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