Detection of bladder cancer using urinary cell-free DNA and cellular DNA

Abstract Background The present study sought to identify a panel of DNA markers for noninvasive diagnosis using cell-free DNA (cfDNA) from urine supernatant or cellular DNA from urine sediments of hematuria patients. A panel of 48 bladder cancer-specific genes was selected. A next-generation sequenc...

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Main Authors: Zhenyu Ou, Kai Li, Ting Yang, Ying Dai, Mohan Chandra, Jun Ning, Yongli Wang, Ran Xu, Tangjie Gao, Yu Xie, Qing He, Yuanwei Li, Qin Lu, Long Wang, Zhuo Song
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Clinical and Translational Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40169-020-0257-2
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spelling doaj-ae8d6ccf08144daab3ec6369bbf0eae42020-11-25T03:22:49ZengWileyClinical and Translational Medicine2001-13262020-01-019111210.1186/s40169-020-0257-2Detection of bladder cancer using urinary cell-free DNA and cellular DNAZhenyu Ou0Kai Li1Ting Yang2Ying Dai3Mohan Chandra4Jun Ning5Yongli Wang6Ran Xu7Tangjie Gao8Yu Xie9Qing He10Yuanwei Li11Qin Lu12Long Wang13Zhuo Song14Department of Urology, The Third Xiangya Hospital, Central South UniversityGeneTalks Biotech Co., Ltd.GeneTalks Biotech Co., Ltd.GeneTalks Biotech Co., Ltd.Department of Biomedical Engineering, University of HoustonDepartment of Urology, Xiangya Hospital, Central South UniversityGeneTalks Biotech Co., Ltd.Department of Urology, The Second Xiangya Hospital of Central South UniversityGeneTalks Biotech Co., Ltd.Department of Urology, Hunan Provincial Tumor Hospital and Affiliated Tumor Hospital of Xiangya Medical School, Central South UniversityGeneTalks Biotech Co., Ltd.Department of Urology, Hunan Provincial People’s HospitalGeneTalks Biotech Co., Ltd.Department of Urology, The Third Xiangya Hospital, Central South UniversityGeneTalks Biotech Co., Ltd.Abstract Background The present study sought to identify a panel of DNA markers for noninvasive diagnosis using cell-free DNA (cfDNA) from urine supernatant or cellular DNA from urine sediments of hematuria patients. A panel of 48 bladder cancer-specific genes was selected. A next-generation sequencing-based assay with a cfDNA barcode-enabled single-molecule test was employed. Mutation profiles of blood, urine, and tumor sample from 16 bladder cancer patients were compared. Next, urinary cellular DNA and cfDNA were prospectively collected from 125 patients (92 bladder cancer cases and 33 controls) and analyzed using the 48-gene panel. The individual gene markers and combinations of markers were validated according to the pathology results. The mean areas under the receiver operating characteristic (ROC) curves (AUCs) obtained with the various modeling approaches were calculated and compared. Results This pilot study of 16 bladder cancer patients demonstrated that gene mutations in urine supernatant and sediments had better concordance with cancer tissue as compared with plasma. Logistic analyses suggested two powerful combinations of genes for genetic diagnostic modeling: five genes for urine supernatant (TERT, FGFR3, TP53, PIK3CA, and KRAS) and seven genes for urine sediments (TERT, FGFR3, TP53, HRAS, PIK3CA, KRAS, and ERBB2). The accuracy of the five-gene panel and the seven-gene panel in the validation cohort yielded AUCs of 0.94 [95% confidence interval (CI) 0.91–0.97] and 0.91 (95% CI 0.86–0.96), respectively. With the addition of age and gender, the diagnostic power of the urine supernatant five-gene model and the urine sediment seven-gene model improved as the revised AUCs were 0.9656 (95% CI 0.9368–0.9944) and 0.9587 (95% CI 0.9291–0.9883). Conclusions cfDNA from urine bears great diagnostic potential. A five-gene panel for urine supernatant and a seven-gene panel for urine sediments are promising options for identifying bladder cancer in hematuria patients.http://link.springer.com/article/10.1186/s40169-020-0257-2Cell-free DNANext-generation sequencingBladder cancerMutationHematuria
collection DOAJ
language English
format Article
sources DOAJ
author Zhenyu Ou
Kai Li
Ting Yang
Ying Dai
Mohan Chandra
Jun Ning
Yongli Wang
Ran Xu
Tangjie Gao
Yu Xie
Qing He
Yuanwei Li
Qin Lu
Long Wang
Zhuo Song
spellingShingle Zhenyu Ou
Kai Li
Ting Yang
Ying Dai
Mohan Chandra
Jun Ning
Yongli Wang
Ran Xu
Tangjie Gao
Yu Xie
Qing He
Yuanwei Li
Qin Lu
Long Wang
Zhuo Song
Detection of bladder cancer using urinary cell-free DNA and cellular DNA
Clinical and Translational Medicine
Cell-free DNA
Next-generation sequencing
Bladder cancer
Mutation
Hematuria
author_facet Zhenyu Ou
Kai Li
Ting Yang
Ying Dai
Mohan Chandra
Jun Ning
Yongli Wang
Ran Xu
Tangjie Gao
Yu Xie
Qing He
Yuanwei Li
Qin Lu
Long Wang
Zhuo Song
author_sort Zhenyu Ou
title Detection of bladder cancer using urinary cell-free DNA and cellular DNA
title_short Detection of bladder cancer using urinary cell-free DNA and cellular DNA
title_full Detection of bladder cancer using urinary cell-free DNA and cellular DNA
title_fullStr Detection of bladder cancer using urinary cell-free DNA and cellular DNA
title_full_unstemmed Detection of bladder cancer using urinary cell-free DNA and cellular DNA
title_sort detection of bladder cancer using urinary cell-free dna and cellular dna
publisher Wiley
series Clinical and Translational Medicine
issn 2001-1326
publishDate 2020-01-01
description Abstract Background The present study sought to identify a panel of DNA markers for noninvasive diagnosis using cell-free DNA (cfDNA) from urine supernatant or cellular DNA from urine sediments of hematuria patients. A panel of 48 bladder cancer-specific genes was selected. A next-generation sequencing-based assay with a cfDNA barcode-enabled single-molecule test was employed. Mutation profiles of blood, urine, and tumor sample from 16 bladder cancer patients were compared. Next, urinary cellular DNA and cfDNA were prospectively collected from 125 patients (92 bladder cancer cases and 33 controls) and analyzed using the 48-gene panel. The individual gene markers and combinations of markers were validated according to the pathology results. The mean areas under the receiver operating characteristic (ROC) curves (AUCs) obtained with the various modeling approaches were calculated and compared. Results This pilot study of 16 bladder cancer patients demonstrated that gene mutations in urine supernatant and sediments had better concordance with cancer tissue as compared with plasma. Logistic analyses suggested two powerful combinations of genes for genetic diagnostic modeling: five genes for urine supernatant (TERT, FGFR3, TP53, PIK3CA, and KRAS) and seven genes for urine sediments (TERT, FGFR3, TP53, HRAS, PIK3CA, KRAS, and ERBB2). The accuracy of the five-gene panel and the seven-gene panel in the validation cohort yielded AUCs of 0.94 [95% confidence interval (CI) 0.91–0.97] and 0.91 (95% CI 0.86–0.96), respectively. With the addition of age and gender, the diagnostic power of the urine supernatant five-gene model and the urine sediment seven-gene model improved as the revised AUCs were 0.9656 (95% CI 0.9368–0.9944) and 0.9587 (95% CI 0.9291–0.9883). Conclusions cfDNA from urine bears great diagnostic potential. A five-gene panel for urine supernatant and a seven-gene panel for urine sediments are promising options for identifying bladder cancer in hematuria patients.
topic Cell-free DNA
Next-generation sequencing
Bladder cancer
Mutation
Hematuria
url http://link.springer.com/article/10.1186/s40169-020-0257-2
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