Use of reverse phase protein microarrays and reference standard development for molecular network analysis of metastatic ovarian carcinoma

Sheehan, Katherine M., Calvert, Valerie S., Kay, Elaine W., Lu, Yiling, Fisherman, David, Espina, Virginia, Aquino, Joy, Speer, Runa, Araujo, Robyn P., Mills, Gordon B., Liotta, Lance A., Wulfkuhle, Julia, & Petricoin III, Emanuel F. (2005) Use of reverse phase protein microarrays and reference standard development for molecular network analysis of metastatic ovarian carcinoma. Molecular and Cellular Proteomics, 4(4), pp. 346-355.

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Abstract

Cancer can be defined as a deregulation or hyperactivity in the ongoing network of intracellular and extracellular signaling events. Reverse phase protein microarray technology may offer a new opportunity to measure and profile these signaling pathways, providing data on post-translational phosphorylation events not obtainable by gene microarray analysis. Treatment of ovarian epithelial carcinoma almost always takes place in a metastatic setting since unfortunately the disease is often not detected until later stages. Thus, in addition to elucidation of the molecular network within a tumor specimen, critical questions are to what extent do signaling changes occur upon metastasis and are there common pathway elements that arise in the metastatic microenvironment. For individualized combinatorial therapy, ideal therapeutic selection based on proteomic mapping of phosphorylation end points may require evaluation of the patient's metastatic tissue. Extending these findings to the bedside will require the development of optimized protocols and reference standards. We have developed a reference standard based on a mixture of phosphorylated peptides to begin to address this challenge.

Impact and interest:

134 citations in Scopus
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200 citations in Web of Science®

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ID Code: 73940
Item Type: Journal Article
Refereed: Yes
Keywords: PROTEIN MICROARRAY, MAPPING MOLECULAR NETWORKS, “THERANOSTICS”
DOI: 10.1074/mcp.T500003-MCP200
ISSN: 1535-9484
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > ONCOLOGY AND CARCINOGENESIS (111200)
Divisions: Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2005 American Society for Biochemistry and Molecular Biology
Deposited On: 15 Jul 2014 23:04
Last Modified: 17 Jul 2014 05:46

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