TY - JOUR
T1 - Use of proteomic analysis to monitor responses to biological therapies
AU - Espina, Virginia
AU - Dettloff, Kristine A.
AU - Cowherd, Stacy
AU - Petricoin, Emanuel F.
AU - Liotta, Lance A.
PY - 2004/1
Y1 - 2004/1
N2 - Proteomics has the potential to revolutionise diagnosis and disease management. Serum protein pattern profiling by surface-enhanced laser desorption/ionisation time of flight (SELDI-TOF) mass spectrometry is emerging as a novel approach to discover protein patterns capable of distinguishing disease and disease-free states with high sensitivity and specificity. This method has shown great promise for early diagnosis of ovarian cancer and is being applied to a range of pathological states. Protein microarray technology is being evaluated as a new means to track biological responses to therapy. Through the measurement of key protein phosphorylation sites at different stages of disease progression or before and after treatment, protein signal pathways can be mapped and thus become the starting point for individualised therapy. Laser capture microdissection (LCM) coupled with immunostaining of protein microarrays allows isolation of pure cell populations and relative quantitation of phosphorylated and non-phosphorylated forms of the cell's key signalling proteins. This technology is currently in use at the National Institutes of Health in Phase 11 clinical trials of metastatic breast and ovarian cancer. Cell survival and apoptotic protein pathways are monitored as biological markers of disease progression in these clinical trials. Proteomic technologies, such as serum protein pattern profiling, combined with protein microarray, technologies, constitute a new paradigm for detecting disease and monitoring disease response to therapy. Ultimately, proteomics and genomics will become integrated into cancer patient management through the design and tracking of inclividualised therapy.
AB - Proteomics has the potential to revolutionise diagnosis and disease management. Serum protein pattern profiling by surface-enhanced laser desorption/ionisation time of flight (SELDI-TOF) mass spectrometry is emerging as a novel approach to discover protein patterns capable of distinguishing disease and disease-free states with high sensitivity and specificity. This method has shown great promise for early diagnosis of ovarian cancer and is being applied to a range of pathological states. Protein microarray technology is being evaluated as a new means to track biological responses to therapy. Through the measurement of key protein phosphorylation sites at different stages of disease progression or before and after treatment, protein signal pathways can be mapped and thus become the starting point for individualised therapy. Laser capture microdissection (LCM) coupled with immunostaining of protein microarrays allows isolation of pure cell populations and relative quantitation of phosphorylated and non-phosphorylated forms of the cell's key signalling proteins. This technology is currently in use at the National Institutes of Health in Phase 11 clinical trials of metastatic breast and ovarian cancer. Cell survival and apoptotic protein pathways are monitored as biological markers of disease progression in these clinical trials. Proteomic technologies, such as serum protein pattern profiling, combined with protein microarray, technologies, constitute a new paradigm for detecting disease and monitoring disease response to therapy. Ultimately, proteomics and genomics will become integrated into cancer patient management through the design and tracking of inclividualised therapy.
KW - Biomarker
KW - Cancer
KW - Individualised therapy
KW - Laser capture microdissection
KW - Mass spectrometry
KW - Protein microarray
KW - Proteomics
KW - SELDI-TOF
UR - http://www.scopus.com/inward/record.url?scp=0346726217&partnerID=8YFLogxK
U2 - 10.1517/14712598.4.1.83
DO - 10.1517/14712598.4.1.83
M3 - Review article
C2 - 14680471
AN - SCOPUS:0346726217
SN - 1471-2598
VL - 4
SP - 83
EP - 93
JO - Expert Opinion on Biological Therapy
JF - Expert Opinion on Biological Therapy
IS - 1
ER -