Protein biomarkers for subtyping breast cancer and implications for future research

被引:79
作者
Mueller, Claudius [1 ]
Haymond, Amanda [1 ]
Davis, Justin B. [1 ]
Williams, Alexa [1 ]
Espina, Virginia [1 ]
机构
[1] George Mason Univ, Ctr Appl Prote & Mol Med, 10920 George Mason Circle,MS1A9, Manassas, VA 20110 USA
基金
美国国家卫生研究院;
关键词
Basal-like; biomarker; breast cancer; estrogen receptor; HER2; mass spectrometry; progesterone receptor; reverse phase protein array; signal transduction; triple negative breast cancer; GROWTH-FACTOR RECEPTOR; LASER CAPTURE MICRODISSECTION; UPFRONT CELLULAR-ENRICHMENT; TYROSINE KINASE RECEPTOR; FOCAL ADHESION KINASE; RANDOMIZED PHASE-II; ESTROGEN-RECEPTOR; PROGESTERONE-RECEPTOR; PROTEOMIC ANALYSIS; ANDROGEN RECEPTOR;
D O I
10.1080/14789450.2018.1421071
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:131 / 152
页数:22
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