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

Authors :
Ralph H. Hruban
Cristian Tomasetti
Christopher J. VandenBussche
Isabela Werneck da Cunha
Joshua D. Cohen
Byeong Hwa Yun
Kathleen G. Dickman
Maria Papoli
Chia-Tung Shun
Diana Taheri
Simeon Springer
Ludmila Danilova
Kazutoshi Fujita
Luis A. Diaz
Joy Schaefer
Natalie Silliman
Lijia Yu
George J. Netto
Maria Del Carmen Rodriguez Pena
Janine Ptak
Lu Li
Bert Vogelstein
Isaac Kinde
Aline C. Tregnago
Arthur P. Grollman
Bahman Afsari
Stephania M. Bezerra
Nickolas Papadopoulos
Trinity J. Bivalacqua
Yuxuan Wang
Thomas A. Rosenquist
Robert J. Turesky
Chung-Hsin Chen
Rachel Karchin
Kenneth W. Kinzler
Christopher Douville
Chao-Yuan Huang
Yeong-Shiau Pu
Dilek Ertoy
Lisa Dobbyn
Source :
eLife, Vol 7 (2018), eLife
Publication Year :
2018
Publisher :
eLife Sciences Publications Ltd, 2018.

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.

Details

Language :
English
Volume :
7
Database :
OpenAIRE
Journal :
eLife
Accession number :
edsair.doi.dedup.....5f5ad6fdc64ad7b0ec23e53df643fe2f