Fluorescence in situ hybridization status of voided urine predicts invasive and high-grade upper tract urothelial carcinoma
Metrics: PDF 1506 views | HTML 1017 views | ?
Xiaohong Su1,2,*, Han Hao1,2,*, Xuesong Li1,2, Zhisong He1,2, Kan Gong1,2, Cuijian Zhang1,2, Lin Cai1,2, Qian Zhang1,2, Lin Yao1,2, Yi Ding1,2, Yanqing Gong1,2, Dong Fang1,2, Zheng Zhang1,2, Liqun Zhou1,2
1Department of Urology, Peking University First Hospital, Xicheng, Beijing, China
2Institute of Urology, Peking University, National Urological Cancer Center, Beijing, China
*These authors contributed equally to this work
Liqun Zhou, email: firstname.lastname@example.org
Zheng Zhang, email: email@example.com
Keywords: fluorescence in situ hybridization (FISH), upper tract urothelial carcinoma (UTUC), high grade, radical nephroureterectomy (RNU), conservative management
Received: September 23, 2016 Accepted: January 24, 2017 Published: February 15, 2017
Here, we assessed the diagnostic accuracy of fluorescence in situ hybridization (FISH) for detecting aggressive upper tract urothelial carcinoma (UTUC). A total of 210 UTUC patients from a single hospital in China were enrolled in this retrospective study between 2012 and 2016. Patients were classified as FISH-positive or -negative based on FISH analysis of voided urine, and the clinicpathological characteristics of these two patient groups were compared. Patients with positive FISH results had more advanced tumor stages and higher tumor grades than those with negative results. The overall sensitivity of FISH for detecting advanced UTUC was 62.4% (131/210). The sensitivity and positive predictive values of positive FISH results were 76.5% and 59.5% for high-grade UTUC and 71.7% and 58.0% for muscle-invasive UTUC. These data suggest that voided urine FISH results accurately predict advanced UTUC and might help distinguish patients with aggressive disease from those who might benefit from conservative management.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.