Literature DB >> 24837673

Proteomic analysis of tissue samples in translational breast cancer research.

Pavel Gromov1, José M A Moreira, Irina Gromova.   

Abstract

In the last decade, many proteomic technologies have been applied, with varying success, to the study of tissue samples of breast carcinoma for protein expression profiling in order to discover protein biomarkers/signatures suitable for: characterization and subtyping of tumors; early diagnosis, and both prognosis and prediction of outcome of chemotherapy. The purpose of this review is to critically appraise what has been achieved to date using proteomic technologies and to bring forward novel strategies - based on the analysis of clinically relevant samples - that promise to accelerate the translation of basic discoveries into the daily breast cancer clinical practice. In particular, we address major issues in experimental design by reviewing the strengths and weaknesses of current proteomic strategies in the context of the analysis of human breast tissue specimens.

Entities:  

Keywords:  breast cancer; gel-based proteomics; immunohistochemistry; peptide-centric proteomics; protein arrays; tumor heterogeneity

Mesh:

Substances:

Year:  2014        PMID: 24837673     DOI: 10.1586/14789450.2014.899469

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  3 in total

Review 1.  Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.

Authors:  Sayem Miah; Charles A S Banks; Mark K Adams; Laurence Florens; Kiven E Lukong; Michael P Washburn
Journal:  Mol Biosyst       Date:  2016-12-20

2.  Tumor tissue protein signatures reflect histological grade of breast cancer.

Authors:  Petter Skoog; Mattias Ohlsson; Mårten Fernö; Lisa Rydén; Carl A K Borrebaeck; Christer Wingren
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

3.  N-glycan signatures identified in tumor interstitial fluid and serum of breast cancer patients: association with tumor biology and clinical outcome.

Authors:  Thilde Terkelsen; Vilde D Haakensen; Radka Saldova; Pavel Gromov; Merete Kjaer Hansen; Henning Stöckmann; Ole Christian Lingjaerde; Anne-Lise Børresen-Dale; Elena Papaleo; Åslaug Helland; Pauline M Rudd; Irina Gromova
Journal:  Mol Oncol       Date:  2018-05-14       Impact factor: 6.603

  3 in total

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