Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy

Simeon U. Springer, Chung Hsin Chen, Maria Del Carmen Rodriguez Pena, Lu Li, Christopher Douville, Yuxuan Wang, Joshua David Cohen, Diana Taheri, Natalie Silliman, Joy Schaefer, Janine Ptak, Lisa Dobbyn, Maria Papoli, Isaac Kinde, Bahman Afsari, Aline C. Tregnago, Stephania M. Bezerra, Christopher Vandenbussche, Kazutoshi Fujita, Dilek ErtoyIsabela W. Cunha, Lijia Yu, Trinity J. Bivalacqua, Arthur P. Grollman, Luis A. Diaz, Rachel Karchin, Ludmila Danilova, Chao Yuan Huang, Chia Tung Shun, Robert J. Turesky, Byeong Hwa Yun, Thomas A. Rosenquist, Yeong Shiau Pu, Ralph H. Hruban, Cristian Tomasetti, Nickolas Papadopoulos, Ken W. Kinzler, Bert Vogelstein, Kathleen G. Dickman, George J. Netto

Research output: Contribution to journalArticle

Abstract

Current non-invasive approaches for detection of urothelial cancers are suboptimal. We developed a test to detect urothelial neoplasms using DNA recovered from cells shed into urine. UroSEEK incorporates massive parallel sequencing assays for mutations in 11 genes and copy number changes on 39 chromosome arms. In 570 patients at risk for bladder cancer (BC), UroSEEK was positive in 83% of those who developed BC. Combined with cytology, UroSEEK detected 95% of patients who developed BC. Of 56 patients with upper tract urothelial cancer, 75% tested positive by UroSEEK, including 79% of those with non-invasive tumors. UroSEEK detected genetic abnormalities in 68% of urines obtained from BC patients under surveillance who demonstrated clinical evidence of recurrence. The advantages of UroSEEK over cytology were evident in low-grade BCs; UroSEEK detected 67% of cases whereas cytology detected none. These results establish the foundation for a new non-invasive approach for detection of urothelial cancer.

Original languageEnglish (US)
Article numbere32143
JournaleLife
Volume7
DOIs
StatePublished - Mar 20 2018

ASJC Scopus subject areas

  • Neuroscience(all)
  • Immunology and Microbiology(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Springer, S. U., Chen, C. H., Del Carmen Rodriguez Pena, M., Li, L., Douville, C., Wang, Y., Cohen, J. D., Taheri, D., Silliman, N., Schaefer, J., Ptak, J., Dobbyn, L., Papoli, M., Kinde, I., Afsari, B., Tregnago, A. C., Bezerra, S. M., Vandenbussche, C., Fujita, K., ... Netto, G. J. (2018). Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy. eLife, 7, [e32143]. https://doi.org/10.7554/eLife.32143