Ju-Seog Lee, Sun-Hee Leem, Sang-Yeop Lee, Sang-Cheol Kim, Eun-Sung Park, Sang-Bae Kim, Seon-Kyu Kim, Yong-June Kim, Wun-Jae Kim, and In-Sun Chu*
From The University of Texas M. D. Anderson Cancer Center, Houston, TX; Dong-A University, Busan; Yonsei University, Seoul; Chungbuk National University College of Medicine, Cheongju; and Korea Research Institute of Bioscience and Biotechnology, Daejeon, South Korea.
* To whom correspondence should be addressed.
Purpose: In approximately 20% of patients with superficial bladder tumors, the tumors progress to invasive tumors after treatment. Current methods of predicting the clinical behavior of these tumors prospectively are unreliable. We aim to identify a molecular signature that can reliably identify patients with high-risk superficial tumors that are likely to progress to invasive tumors.
Patients and Methods: Gene expression data were collected from tumor specimens from 165 patients with bladder cancer. Various statistical methods, including leave-one-out cross-validation methods, were applied to identify a gene expression signature that could predict the likelihood of progression to invasive tumors and to test the robustness of the expression signature in an independent cohort. The robustness of the gene expression signature was validated in an independent (n = 353) cohort.
Results: Supervised analysis of gene expression data revealed a gene expression signature that is strongly associated with invasive bladder tumors. A molecular classifier based on this gene expression signature correctly predicted the likelihood of progression of superficial tumor to invasive tumor.
Conclusion: We present a molecular signature that can predict, at diagnosis, the likelihood of bladder cancer progression and, possibly, lead to improvements in patient therapy.