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Targeted Proteomics Driven Verification of Biomarker Candidates Associated with Breast Cancer Aggressiveness

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Tissue Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1788))

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

References

  1. Ferlay J et al (2013) Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer 49(6):1374–1403

    Article  CAS  PubMed  Google Scholar 

  2. Bundred NJ (2001) Prognostic and predictive factors in breast cancer. Cancer Treat Rev 27(3):137–142

    Article  CAS  PubMed  Google Scholar 

  3. Parker CE, Borchers CH (2014) Mass spectrometry based biomarker discovery, verification, and validation – quality assurance and control of protein biomarker assays. Mol Oncol 8(4):840–858

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Tabb DL et al (2010) Repeatability and reproducibility in proteomic identifications by liquid chromatography-tandem mass spectrometry. J Proteome Res 9(2):761–776

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Leitner A, Aebersold R (2013) SnapShot: mass spectrometry for protein and proteome analyses. Cell 154(1):252–252.e1

    Article  CAS  PubMed  Google Scholar 

  6. Marx V (2013) Targeted proteomics. Nature Methods 10:19–22

    Article  CAS  PubMed  Google Scholar 

  7. Bouchal P et al (2015) Combined proteomics and transcriptomics identifies carboxypeptidase B1 and nuclear factor kappaB (NF-kappaB) associated proteins as putative biomarkers of metastasis in low grade breast cancer. Mol Cell Proteomics 14(7):1814–1830

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Lowry OH et al (1951) Protein measurement with the Folin phenol reagent. J Biol Chem 193(1):265–275

    PubMed  CAS  Google Scholar 

  9. MacLean B et al (2010) Skyline: an open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics 26(7):966–968

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Holzmann J et al (2009) Stoichiometry determination of the MP1-p14 complex using a novel and cost-efficient method to produce an equimolar mixture of standard peptides. Anal Chem 81(24):10254–10261

    Article  CAS  PubMed  Google Scholar 

  11. Bouchal P et al (2009) Biomarker discovery in low-grade breast cancer using isobaric stable isotope tags and two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS) based quantitative proteomic analysis. J Proteome Res 8(1):362–373

    Article  CAS  PubMed  Google Scholar 

  12. Domanski D et al (2012) MRM-based multiplexed quantitation of 67 putative cardiovascular disease biomarkers in human plasma. Proteomics 12(8):1222–1243

    Article  CAS  PubMed  Google Scholar 

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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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Correspondence to Pavel Bouchal .

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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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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7852-6

  • Online ISBN: 978-1-4939-7854-0

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