Supporting Information Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer Markus Riester*,1 Jennifer M. Taylor*,2 Andrew Feifer,2 Theresa Koppie,3 Jonathan E. Rosenberg,4 Robert J. Downey,5 Bernard H. Bochner,2 and Franziska Michor1† 1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, MA 02215, USA. 2Urology Service, Department of Surgery, Memorial Sloan- Kettering Cancer Center, New York, NY 10065, USA. 3Department of Urology, University of California-Davis, Sacramento, CA. 4Bladder Cancer Center, Dana-Farber Cancer Institute, Boston, MA 02215, USA. 5Thoracic Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. *These authors contributed equally. †Author for correspondence. Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA. Tel: 671 632 5045. Fax: 617 632 4222. Email:
[email protected]. Table of Contents Supplemental Materials and Methods ....................................................................................................................... 2 Datasets .......................................................................................................................................................................................................... 2 Published Signatures ...............................................................................................................................................................................