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Identification of Predictive Factors for Survival of Patients With Recurrent Prostate Cancer From Clinical Features, Tissue Image Features and Molecular Biomarker Data

Prostate Cancer Clinical Trial

Official title:
Identification of Predictive Factors for Survival of Patients With Recurrent Prostate Cancer From Clinical Features, Tissue Image Features and Molecular Biomarker Data

Clinical Trial Summary

We seek to improve the predictive accuracy of the nomogram to predict survival for patients with castrate mets disease through the addition of pathological data, the results of automated machine vision based image analysis of H&E stained tumor tissue developed at Aureon Biosciences,and molecular biomarker studies (25 markers) determined by immunohistochemistry on tissue microarrays prepared from paraffin-embedded tumor.

Clinical Trial Description

n/a

Study Design

Observational Model: Cohort, Time Perspective: Retrospective

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT00578409
Study type Observational
Source Memorial Sloan Kettering Cancer Center
Contact
Status Completed
Phase N/A
Start date May 2004
Completion date April 2010
View Details
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