Proteomic classification of breast cancer

Dalia Kamel; Bernadette Brady; Adel Tabchy; Gordon B. Mills; Bryan Hennessy

doi:10.2174/138945012803530080

Proteomic classification of breast cancer

Dalia Kamel, Bernadette Brady, Adel Tabchy, Gordon B. Mills, Bryan Hennessy

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme- linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

Original language	English (US)
Pages (from-to)	1495-1509
Number of pages	15
Journal	Current Drug Targets
Volume	13
Issue number	12
DOIs	https://doi.org/10.2174/138945012803530080
State	Published - 2012
Externally published	Yes

Keywords

Breast cancer
Molecular technology
Proteome
RPPA

ASJC Scopus subject areas

Molecular Medicine
Pharmacology
Drug Discovery
Clinical Biochemistry

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AU - Brady, Bernadette

AU - Tabchy, Adel

AU - Mills, Gordon B.

AU - Hennessy, Bryan

PY - 2012

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AB - Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme- linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

KW - Breast cancer

KW - Molecular technology

KW - Proteome

KW - RPPA

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Proteomic classification of breast cancer

Abstract

Keywords

ASJC Scopus subject areas

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