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Non-Invasive Detection of Urothelial Cancer Through the Analysis of Driver Gene Mutations and Aneuploidy Publisher Pubmed



Springer SU1, 2 ; Chen CH3 ; Del Carmen Rodriguez Pena M4, 5 ; Li L6 ; Douville C7 ; Wang Y1, 2 ; Cohen JD1, 2 ; Taheri D4, 8 ; Silliman N1, 2 ; Schaefer J1, 2 ; Ptak J1, 2 ; Dobbyn L1, 2 ; Papoli M1, 2 ; Kinde I1, 2 Show All Authors
Authors
  1. Springer SU1, 2
  2. Chen CH3
  3. Del Carmen Rodriguez Pena M4, 5
  4. Li L6
  5. Douville C7
  6. Wang Y1, 2
  7. Cohen JD1, 2
  8. Taheri D4, 8
  9. Silliman N1, 2
  10. Schaefer J1, 2
  11. Ptak J1, 2
  12. Dobbyn L1, 2
  13. Papoli M1, 2
  14. Kinde I1, 2
  15. Afsari B9, 10
  16. Tregnago AC4
  17. Bezerra SM11
  18. Vandenbussche C4
  19. Fujita K12
  20. Ertoy D13
  21. Cunha IW11
  22. Yu L5
  23. Bivalacqua TJ14
  24. Grollman AP15, 16
  25. Diaz LA17, 18
  26. Karchin R7, 9
  27. Danilova L10, 13
  28. Huang CY3
  29. Shun CT17
  30. Turesky RJ19, 20
  31. Yun BH19, 20
  32. Rosenquist TA15
  33. Pu YS3
  34. Hruban RH4
  35. Tomasetti C6, 10
  36. Papadopoulos N1, 2
  37. Kinzler KW1, 2
  38. Vogelstein B1, 2
  39. Dickman KG15, 16
  40. Netto GJ4, 5
Show Affiliations
Authors Affiliations
  1. 1. Howard Hughes Medical Institute, Ludwig Center for Cancer Genetics and Therapeutics, Baltimore, United States
  2. 2. Sidney Kimmel Comprehensive Cancer Center, Baltimore, United States
  3. 3. Department of Urology, National Taiwan University Hospital, Taipei, Taiwan
  4. 4. Department of Pathology, Johns Hopkins University, Baltimore, United States
  5. 5. Department of Pathology, University of Alabama at Birmingham, Birmingham, United States
  6. 6. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
  7. 7. Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, United States
  8. 8. Department of Pathology, Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  9. 9. Department of Oncology, Johns Hopkins University, Baltimore, United States
  10. 10. Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, United States
  11. 11. Department of Pathology, AC Camargo Cancer Center, Sao Paulo, Brazil
  12. 12. Department of Pathology, Osaka University, Osaka, Japan
  13. 13. Department of Pathology, Hacettepe University, Ankara, Turkey
  14. 14. Department of Urology, Johns Hopkins University, Baltimore, United States
  15. 15. Department of Pharmacological Sciences, Stony Brook University, Stony Brook, United States
  16. 16. Department of Medicine, Stony Brook University, Stony Brook, United States
  17. 17. Department of Forensic Medicine and Pathology, National Taiwan University Hospital, Taipei, Taiwan
  18. 18. Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, United States
  19. 19. Masonic Cancer Center, University of Minnesota, Minneapolis, United States
  20. 20. Department of Medicinal Chemistry, University of Minnesota, Minneapolis, United States

Source: eLife Published: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. © Springer et al.