학술논문
Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy
Document Type
article
Author
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 Ertoy; Isabela 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
Source
eLife, Vol 7 (2018)
Subject
Language
English
ISSN
2050-084X
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.