University of Southern California Keck School of Medicine, Center for Personalized Medicine, 4650 Sunset Blvd, SRT 1014, Los Angeles, CA 90027, USA.
Accurate identification of nodal status in patients with bladder cancer is important in determining their prognosis and administration of perioperative chemotherapy. In this article, we review the study by Smith and colleagues, documenting the identification of a 20-gene model that can predict nodal stage in patients with bladder cancer based on the profiles of their primary tumors. The gene-expression model generated in this study was able to identify node-positive disease based on tumor tissues obtained from patients in a Phase III bladder cancer trial cohort. The model was able to predict nodal status independent of standard clinicopathologic prognostic criteria. This study adds the agnostic profiling dimension to prior investigations that have attempted to define molecular signatures that predict nodal metastasis in bladder cancer patients based on the primary tumors' gene-expression profiles.
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Mitra AP, Cote RJ. Are you the author?
Reference: Expert Rev Anticancer Ther. 2011 Jun;11(6):849-52.
doi: 10.1586/era.11.60
PubMed Abstract
PMID: 21707281
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