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

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-base...

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Autores principales: Ou, Zhenyu, Li, Kai, Yang, Ting, Dai, Ying, Chandra, Mohan, Ning, Jun, Wang, Yongli, Xu, Ran, Gao, Tangjie, Xie, Yu, He, Qing, Li, Yuanwei, Lu, Qin, Wang, Long, Song, Zhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960275/
https://www.ncbi.nlm.nih.gov/pubmed/31938901
http://dx.doi.org/10.1186/s40169-020-0257-2
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author Ou, Zhenyu
Li, Kai
Yang, Ting
Dai, Ying
Chandra, Mohan
Ning, Jun
Wang, Yongli
Xu, Ran
Gao, Tangjie
Xie, Yu
He, Qing
Li, Yuanwei
Lu, Qin
Wang, Long
Song, Zhuo
author_facet Ou, Zhenyu
Li, Kai
Yang, Ting
Dai, Ying
Chandra, Mohan
Ning, Jun
Wang, Yongli
Xu, Ran
Gao, Tangjie
Xie, Yu
He, Qing
Li, Yuanwei
Lu, Qin
Wang, Long
Song, Zhuo
author_sort Ou, Zhenyu
collection PubMed
description 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.
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spelling pubmed-69602752020-01-30 Detection of bladder cancer using urinary cell-free DNA and cellular DNA Ou, Zhenyu Li, Kai Yang, Ting Dai, Ying Chandra, Mohan Ning, Jun Wang, Yongli Xu, Ran Gao, Tangjie Xie, Yu He, Qing Li, Yuanwei Lu, Qin Wang, Long Song, Zhuo Clin Transl Med Research 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. Springer Berlin Heidelberg 2020-01-14 /pmc/articles/PMC6960275/ /pubmed/31938901 http://dx.doi.org/10.1186/s40169-020-0257-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Ou, Zhenyu
Li, Kai
Yang, Ting
Dai, Ying
Chandra, Mohan
Ning, Jun
Wang, Yongli
Xu, Ran
Gao, Tangjie
Xie, Yu
He, Qing
Li, Yuanwei
Lu, Qin
Wang, Long
Song, Zhuo
Detection of bladder cancer using urinary cell-free DNA and cellular DNA
title 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_short 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
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960275/
https://www.ncbi.nlm.nih.gov/pubmed/31938901
http://dx.doi.org/10.1186/s40169-020-0257-2
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