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Detecting and monitoring bladder cancer with exfoliated cells in urine

Current methods for the diagnosis and monitoring of bladder cancer are invasive and have suboptimal sensitivity. Liquid biopsy as a non-invasive approach has been capturing attentions recently. To explore the ability of urine-based liquid biopsy in detecting and monitoring genitourinary tumors, we d...

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Autores principales: Li, Nannan, Wang, Lei, Liang, Han, Lin, Cong, Yi, Ji, Yang, Qin, Luo, Huijuan, Luo, Tian, Zhang, Liwei, Li, Xiaojian, Wu, Kui, Li, Fuqiang, Li, Ningchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491100/
https://www.ncbi.nlm.nih.gov/pubmed/36158668
http://dx.doi.org/10.3389/fonc.2022.986692
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author Li, Nannan
Wang, Lei
Liang, Han
Lin, Cong
Yi, Ji
Yang, Qin
Luo, Huijuan
Luo, Tian
Zhang, Liwei
Li, Xiaojian
Wu, Kui
Li, Fuqiang
Li, Ningchen
author_facet Li, Nannan
Wang, Lei
Liang, Han
Lin, Cong
Yi, Ji
Yang, Qin
Luo, Huijuan
Luo, Tian
Zhang, Liwei
Li, Xiaojian
Wu, Kui
Li, Fuqiang
Li, Ningchen
author_sort Li, Nannan
collection PubMed
description Current methods for the diagnosis and monitoring of bladder cancer are invasive and have suboptimal sensitivity. Liquid biopsy as a non-invasive approach has been capturing attentions recently. To explore the ability of urine-based liquid biopsy in detecting and monitoring genitourinary tumors, we developed a method based on promoter-targeted DNA methylation of urine sediment DNA. We used samples from a primary bladder cancer cohort (n=40) and a healthy cohort (n=40) to train a model and obtained an integrated area under the curve (AUC) > 0.96 in the 10-fold cross-validation, which demonstrated the ability of our method for detecting bladder cancer from the healthy. We next validated the model with samples from a recurrent cohort (n=21) and a non-recurrent cohort (n=19) and obtained an AUC > 0.91, which demonstrated the ability of our model in monitoring the progress of bladder cancer. Moreover, 80% (4/5) of samples from patients with benign urothelial diseases had been considered to be healthy sample rather than cancer sample, preliminarily demonstrating the potential of distinguishing benign urothelial diseases from cancer. Further analysis basing on multiple-time point sampling revealed that the cancer signal in 80% (4/5) patients had decreased as expected when they achieved the recurrent-free state. All the results suggested that our method is a promising approach for noninvasive detection and prognostic monitoring of bladder cancer.
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spelling pubmed-94911002022-09-22 Detecting and monitoring bladder cancer with exfoliated cells in urine Li, Nannan Wang, Lei Liang, Han Lin, Cong Yi, Ji Yang, Qin Luo, Huijuan Luo, Tian Zhang, Liwei Li, Xiaojian Wu, Kui Li, Fuqiang Li, Ningchen Front Oncol Oncology Current methods for the diagnosis and monitoring of bladder cancer are invasive and have suboptimal sensitivity. Liquid biopsy as a non-invasive approach has been capturing attentions recently. To explore the ability of urine-based liquid biopsy in detecting and monitoring genitourinary tumors, we developed a method based on promoter-targeted DNA methylation of urine sediment DNA. We used samples from a primary bladder cancer cohort (n=40) and a healthy cohort (n=40) to train a model and obtained an integrated area under the curve (AUC) > 0.96 in the 10-fold cross-validation, which demonstrated the ability of our method for detecting bladder cancer from the healthy. We next validated the model with samples from a recurrent cohort (n=21) and a non-recurrent cohort (n=19) and obtained an AUC > 0.91, which demonstrated the ability of our model in monitoring the progress of bladder cancer. Moreover, 80% (4/5) of samples from patients with benign urothelial diseases had been considered to be healthy sample rather than cancer sample, preliminarily demonstrating the potential of distinguishing benign urothelial diseases from cancer. Further analysis basing on multiple-time point sampling revealed that the cancer signal in 80% (4/5) patients had decreased as expected when they achieved the recurrent-free state. All the results suggested that our method is a promising approach for noninvasive detection and prognostic monitoring of bladder cancer. Frontiers Media S.A. 2022-09-07 /pmc/articles/PMC9491100/ /pubmed/36158668 http://dx.doi.org/10.3389/fonc.2022.986692 Text en Copyright © 2022 Li, Wang, Liang, Lin, Yi, Yang, Luo, Luo, Zhang, Li, Wu, Li and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Li, Nannan
Wang, Lei
Liang, Han
Lin, Cong
Yi, Ji
Yang, Qin
Luo, Huijuan
Luo, Tian
Zhang, Liwei
Li, Xiaojian
Wu, Kui
Li, Fuqiang
Li, Ningchen
Detecting and monitoring bladder cancer with exfoliated cells in urine
title Detecting and monitoring bladder cancer with exfoliated cells in urine
title_full Detecting and monitoring bladder cancer with exfoliated cells in urine
title_fullStr Detecting and monitoring bladder cancer with exfoliated cells in urine
title_full_unstemmed Detecting and monitoring bladder cancer with exfoliated cells in urine
title_short Detecting and monitoring bladder cancer with exfoliated cells in urine
title_sort detecting and monitoring bladder cancer with exfoliated cells in urine
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491100/
https://www.ncbi.nlm.nih.gov/pubmed/36158668
http://dx.doi.org/10.3389/fonc.2022.986692
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