• Non-Invasive Detection Of Urothelial Cancer Through The Analysis Of Driver Gene Mutations And Aneuploidy 

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