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

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

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 chrom...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2018-03-01
Series:eLife
Subjects:
liquid biopsy
cancer
urine
bladder
renal pelvis
ureter
Online Access:https://elifesciences.org/articles/32143

Internet

https://elifesciences.org/articles/32143

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