Signal pathway profiling of prostate cancer using reverse phase protein arrays

Robert L. Grubb, Valerie S. Calvert, Julia D. Wulkuhle, Cloud P. Paweletz, W. Marston Linehan, John L. Phillips, Rodrigo Chuaqui, Alfredo Valasco, John Gillespie, Michael Emmert-Buck, Lance A. Liotta, Emanuel F. Petricoin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

179 Scopus citations

Abstract

Reverse phase protein arrays represent a new proteomics microarray technology with which to study the fluctuating state of the proteome in minute quantities of cells. The activation status of cell signaling pathways controls cellular fate and deregulation of these pathways underpins carcinogenesis. Changes in pathway activation that occur between early stage prostatic epithelial lesions, prostatic stroma and the extracellular matrix can be analyzed by obtaining pure populations of cell types by laser capture microdissection (LCM) and analyzing the relative states of several key phosphorylation points within the cellular circuitry. We have applied reverse phase protein array technology to analyze the status of key points in cell signaling involved in pro-survival, mitogenic, apoptotic and growth regulation pathways in the progression from normal prostate epithelium to invasive prostate cancer. Using multiplexed reverse phase protein arrays coupled with LCM, the states of signaling changes during disease progression from prostate cancer study sets were analyzed. Focused analysis of phospho-specific endpoints revealed changes in cellular signaling events through disease progression and between patients. We have used a new protein array technology to study specific molecular pathways believed to be important in cell survival and progression from normal epithelium to invasive carcinoma directly from human tissue specimens. With the advent of molecular targeted therapeutics, the identification, characterization and monitoring of the signaling events within actual human biopsies will be critical for patient-tailored therapy.

Original languageEnglish
Pages (from-to)2142-2146
Number of pages5
JournalProteomics
Volume3
Issue number11
DOIs
StatePublished - Nov 2003
Externally publishedYes

Keywords

  • Prostate cancer
  • Protein microarrays
  • Signal transduction profiling

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