| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8778444 | European Urology | 2018 | 9 Pages |
Abstract
We identified routinely available clinical and pathologic features that can accurately predict progression and death from renal cell carcinoma following surgery. These updated models should inform patient prognosis, biomarker design, and clinical trial enrollment.
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Authors
Bradley C. Leibovich, Christine M. Lohse, John C. Cheville, Harras B. Zaid, Stephen A. Boorjian, Igor Frank, R. Houston Thompson, William P. Parker,