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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

NCT00578409 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 758

Last updated 2015-12-18

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

Principal Investigators

  • Howard I Scher, MD · Memorial Sloan Kettering Cancer Center

Eligibility

Sex
MALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2004-05-31
Primary Completion
2010-04-30
Completion
2010-04-30

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00578409 on ClinicalTrials.gov