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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Detalles Bibliográficos
Autores principales: Springer, Simeon U, Chen, Chung-Hsin, Rodriguez Pena, Maria Del Carmen, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Cancer Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860864/
https://www.ncbi.nlm.nih.gov/pubmed/29557778
http://dx.doi.org/10.7554/eLife.32143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860864/
https://www.ncbi.nlm.nih.gov/pubmed/29557778
http://dx.doi.org/10.7554/eLife.32143

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