Systems Pathology Approach for the Prediction of Prostate Cancer Progression After Radical Prostatectomy

200890 citationsJournal Article

Authors

Michael Donovan · Memorial Sloan Kettering Cancer Center

Stefan Hamann · Memorial Sloan Kettering Cancer Center

M. Clayton · Memorial Sloan Kettering Cancer Center

Faisal M. Khan · Olin Corporation (United States)

Marina Sapir · Olin Corporation (United States)

Valentina Bayer‐Zubek · Olin Corporation (United States)

Gerardo Fernández

Abstract

The integration of clinicopathologic variables with imaging and biomarker data (systems pathology) resulted in a highly accurate tool for predicting CF within 5 years after prostatectomy. The data support a role for AR signaling in clinical progression and duration of response to ADT.

Topics & Keywords

Prostate Cancer Treatment and Research Statistical Methods in Clinical Trials Prostate Cancer Diagnosis and Treatment

Publication Details

Published in: Journal of Clinical Oncology

Volume 26, Issue 24, pp. 3923-3929

DOI: 10.1200/jco.2007.15.3155

Field-Weighted Citation Impact: 7.81

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Systems Pathology Approach for the Prediction of Prostate Cancer Progression After Radical Prostatectomy

Authors

Abstract

Topics & Keywords

Publication Details