Proteomic classification of breast cancer

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

Research output: Contribution to journalArticlepeer-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 languageEnglish (US)
Pages (from-to)1495-1509
Number of pages15
JournalCurrent Drug Targets
Volume13
Issue number12
DOIs
StatePublished - 2012
Externally publishedYes

Keywords

  • Breast cancer
  • Molecular technology
  • Proteome
  • RPPA

ASJC Scopus subject areas

  • Molecular Medicine
  • Pharmacology
  • Drug Discovery
  • Clinical Biochemistry

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