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Accurate Detection of Urothelial Bladder Cancer Using Targeted Deep Sequencing of Urine DNA.
Lee, Dongin; Lee, Wookjae; Kim, Hwang-Phill; Kim, Myong; Ahn, Hyun Kyu; Bang, Duhee; Kim, Kwang Hyun.
Afiliação
  • Lee D; Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.
  • Lee W; IMBdx, Seoul 08506, Republic of Korea.
  • Kim HP; IMBdx, Seoul 08506, Republic of Korea.
  • Kim M; Department of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.
  • Ahn HK; Department of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.
  • Bang D; Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.
  • Kim KH; Department of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.
Cancers (Basel) ; 15(10)2023 May 22.
Article em En | MEDLINE | ID: mdl-37345205
ABSTRACT
Patients with hematuria are commonly given an invasive cystoscopy test to detect bladder cancer (BC). To avoid the risks associated with cystoscopy, several urine-based methods for BC detection have been developed, the most prominent of which is the deep sequencing of urine DNA. However, the current methods for urine-based BC detection have significant levels of false-positive signals. In this study, we report on uAL100, a method to precisely detect BC tumor DNA in the urine without tumor samples. Using urine samples from 43 patients with BC and 21 healthy donors, uAL100 detected BC with 83.7% sensitivity and 100% specificity. The mutations identified in the urine DNA by uAL100 for BC detection were highly associated with BC tumorigenesis and progression. We suggest that uAL100 has improved accuracy compared to other urine-based methods for early BC detection and can reduce unnecessary cystoscopy tests for patients with hematuria.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article