TY - JOUR
T1 - Proteomics of breast carcinoma
AU - Somiari, Richard I.
AU - Somiari, Stella
AU - Russell, Stephen
AU - Shriver, Craig D.
N1 - Funding Information:
The authors acknowledge the funding received from the United States Department of defence for the Clinical Breast Care Project of Walter Reed Army Medical Center, Washington, DC, USA, Windber Research Institute, Windber, PA, USA and Windber Medical Center, Windber, PA, USA. The support received from the Henry Jackson Foundation for the Advancement of Military Medicine is also acknowledged.
PY - 2005/2/5
Y1 - 2005/2/5
N2 - Beast cancer is the most diagnosed cancer in women, accounting for approximately 40,000 deaths annually in the USA. Significant advances have been made in the areas of detection and treatment, but a significant number of breast cancers are detected late. The advent of proteomics provides the hope of discovering novel biological markers that can be used for early detection, disease diagnosis, prognostication and prediction of response to therapy. Several proteomics technologies including 2D-PAGE, 2D-DIGE, ICAT, SELDI-TOF, MudPIT and protein arrays have been used to uncover molecular mechanisms associated with breast carcinoma at the global level, and a number of these technologies, particularly the SELDI-TOF hold promise as a proteomic approach that can be applied at the bedside for discovering protein patterns that distinguish disease and disease-free states with high sensitivity and specificity. Laser microdissection, a method for selection of homogenous cell populations, coupled to 2D-DIGE or MudPIT constitute a new proteomics-based paradigm for detecting disease in pathology specimens and monitoring disease response to therapy. This review describes proteomics technologies, and their application in the proteomic analysis of breast carcinoma.
AB - Beast cancer is the most diagnosed cancer in women, accounting for approximately 40,000 deaths annually in the USA. Significant advances have been made in the areas of detection and treatment, but a significant number of breast cancers are detected late. The advent of proteomics provides the hope of discovering novel biological markers that can be used for early detection, disease diagnosis, prognostication and prediction of response to therapy. Several proteomics technologies including 2D-PAGE, 2D-DIGE, ICAT, SELDI-TOF, MudPIT and protein arrays have been used to uncover molecular mechanisms associated with breast carcinoma at the global level, and a number of these technologies, particularly the SELDI-TOF hold promise as a proteomic approach that can be applied at the bedside for discovering protein patterns that distinguish disease and disease-free states with high sensitivity and specificity. Laser microdissection, a method for selection of homogenous cell populations, coupled to 2D-DIGE or MudPIT constitute a new proteomics-based paradigm for detecting disease in pathology specimens and monitoring disease response to therapy. This review describes proteomics technologies, and their application in the proteomic analysis of breast carcinoma.
KW - Proteomics
KW - Reviews
UR - http://www.scopus.com/inward/record.url?scp=12344285050&partnerID=8YFLogxK
U2 - 10.1016/j.jchromb.2004.11.012
DO - 10.1016/j.jchromb.2004.11.012
M3 - Review article
C2 - 15652811
AN - SCOPUS:12344285050
SN - 1570-0232
VL - 815
SP - 215
EP - 225
JO - Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
JF - Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
IS - 1-2
ER -