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Prognostic models
Author(s) -
Jonasch Eric
Publication year - 2009
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/cncr.24264
Subject(s) - medicine , renal cell carcinoma , categorical variable , outcome (game theory) , metric (unit) , survivin , oncology , cancer , statistics , mathematical economics , mathematics , operations management , economics
In this issue of Cancer , Parker et al provide an opportunity to reflect on the current state of prognostication science by introducing the “BioScore,” a metric derived from categorical expression data for B7‐H1, survivin, and Ki‐67, which have been reported as independent predictors of poor outcome in patients with clear cell renal cell carcinoma. Purely prognostic models must give way to predictive models based on mechanistic hypotheses.