A molecular model for predicting overall survival in patients with metastatic clear cell renal carcinoma: Results from CALGB 90206 (Alliance) Journal Article


Authors: Kim, H. L.; Halabi, S.; Li, P.; Mayhew, G.; Simko, J.; Nixon, A. B.; Small, E. J.; Rini, B.; Morris, M. J.; Taplin, M. E.; George, D.
Article Title: A molecular model for predicting overall survival in patients with metastatic clear cell renal carcinoma: Results from CALGB 90206 (Alliance)
Abstract: Background: Prognosis associated with metastatic renal cell carcinoma (mRCC) can vary widely. Methods: This study used pretreatment nephrectomy specimens from a randomized phase III trial. Expression levels of candidate genes were determined from archival tumors using the OpenArray® platform for TaqMan® RT-qPCR. The dataset was randomly divided at 2:1 ratio into training (n = 221) and testing (n = 103) sets to develop a multigene prognostic signature. Findings: Gene expressions were measured in 324 patients. In the training set, multiple models testing 424 candidate genes identified a prognostic signature containing 8 genes plus MSKCC clinical risk factors. In the testing set, the time dependent (td) AUC for a prognostic model containing the 8 genes with and without MSKCC risk factors were 0.72 and 0.69, respectively. The tdAUC for the clinical risk factors alone was 0.61. Additional primary mRCCs from patients with mRCC (n = 12) were sampled in multiple sites and standard deviations of gene expressions within a tumor were used as a measure of heterogeneity. All 8 genes in the final prognostic model met our criteria for minimal heterogeneity. Conclusions: A molecular prognostic signature based on 8 genes was developed and is ready for external validation in this patient population and other related settings such as nonmetastatic RCC. © 2015 The Authors.
Keywords: renal cell carcinoma; prognostic markers; expression profile; prognostic signature
Journal Title: EBioMedicine
Volume: 2
Issue: 11
ISSN: 2352-3964
Publisher: Elsevier Inc.  
Date Published: 2015-11-01
Start Page: 1814
End Page: 1820
Language: English
DOI: 10.1016/j.ebiom.2015.09.012
PROVIDER: scopus
PMCID: PMC4740313
PUBMED: 26870806
DOI/URL:
Notes: Article -- Export Date: 3 March 2016 -- Source: Scopus
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  1. Michael Morris
    580 Morris