Literature DB >> 29271260

Protein biomarkers for subtyping breast cancer and implications for future research.

Claudius Mueller1, Amanda Haymond1, Justin B Davis1, Alexa Williams1, Virginia Espina1.   

Abstract

INTRODUCTION: Breast cancer subtypes are currently defined by a combination of morphologic, genomic, and proteomic characteristics. These subtypes provide a molecular portrait of the tumor that aids diagnosis, prognosis, and treatment escalation/de-escalation options. Gene expression signatures describing intrinsic breast cancer subtypes for predicting risk of recurrence have been rapidly adopted in the clinic. Despite the use of subtype classifications, many patients develop drug resistance, breast cancer recurrence, or therapy failure. Areas covered: This review provides a summary of immunohistochemistry, reverse phase protein array, mass spectrometry, and integrative studies that are revealing differences in biological functions within and between breast cancer subtypes. We conclude with a discussion of rigor and reproducibility for proteomic-based biomarker discovery. Expert commentary: Innovations in proteomics, including implementation of assay guidelines and standards, are facilitating refinement of breast cancer subtypes. Proteomic and phosphoproteomic information distinguish biologically functional subtypes, are predictive of recurrence, and indicate likelihood of drug resistance. Actionable, activated signal transduction pathways can now be quantified and characterized. Proteomic biomarker validation in large, well-designed studies should become a public health priority to capitalize on the wealth of information gleaned from the proteome.

Entities:  

Keywords:  Basal-like; HER2; biomarker; breast cancer; estrogen receptor; mass spectrometry; progesterone receptor; reverse phase protein array; signal transduction; triple negative breast cancer

Mesh:

Substances:

Year:  2018        PMID: 29271260      PMCID: PMC6104835          DOI: 10.1080/14789450.2018.1421071

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


  206 in total

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Authors:  J M Harvey; G M Clark; C K Osborne; D C Allred
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4.  Acquisition of Invasiveness by Breast Adenocarcinoma Cells Engages Established Hallmarks and Novel Regulatory Mechanisms.

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Review 5.  Tumor Profiling at the Service of Cancer Therapy.

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6.  Integrative analysis of multi-platform reverse-phase protein array data for the pharmacodynamic assessment of response to targeted therapies.

Authors:  Adam Byron; Stephan Bernhardt; Bérèngere Ouine; Aurélie Cartier; Kenneth G Macleod; Neil O Carragher; Vonick Sibut; Ulrike Korf; Bryan Serrels; Leanne de Koning
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Review 7.  Mass Spectrometry-Based Omics for the Characterization of Triple-Negative Breast Cancer Bio-Signature.

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10.  Characterizing the Relapse Potential in Different Luminal Subtypes of Breast Cancers with Functional Proteomics.

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Journal:  Int J Mol Sci       Date:  2020-08-24       Impact factor: 5.923

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