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Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics
BACKGROUND: Early detection of bladder cancer remains challenging because patients with early-stage bladder cancer usually have no incentive to take cytology or cystoscopy tests if they are asymptomatic. Our goal is to find non-invasive marker candidates that may help us gain insight into the metabo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180080/ https://www.ncbi.nlm.nih.gov/pubmed/34090341 http://dx.doi.org/10.1186/s12859-021-04235-z |
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author | Lin, Jia-You Juo, Bao-Rong Yeh, Yu-Hsuan Fu, Shu-Hsuan Chen, Yi-Ting Chen, Chien-Lun Wu, Kun-Pin |
author_facet | Lin, Jia-You Juo, Bao-Rong Yeh, Yu-Hsuan Fu, Shu-Hsuan Chen, Yi-Ting Chen, Chien-Lun Wu, Kun-Pin |
author_sort | Lin, Jia-You |
collection | PubMed |
description | BACKGROUND: Early detection of bladder cancer remains challenging because patients with early-stage bladder cancer usually have no incentive to take cytology or cystoscopy tests if they are asymptomatic. Our goal is to find non-invasive marker candidates that may help us gain insight into the metabolism of early-stage bladder cancer and be examined in routine health checks. RESULTS: We acquired urine samples from 124 patients diagnosed with early-stage bladder cancer or hernia (63 cancer patients and 61 controls). In which 100 samples were included in our marker discovery cohort, and the remaining 24 samples were included in our independent test cohort. We obtained metabolic profiles of 922 compounds of the samples by gas chromatography-mass spectrometry. Based on the metabolic profiles of the marker discovery cohort, we selected marker candidates using Wilcoxon rank-sum test with Bonferroni correction and leave-one-out cross-validation; we further excluded compounds detected in less than 60% of the bladder cancer samples. We finally selected eight putative markers. The abundance of all the eight markers in bladder cancer samples was high but extremely low in hernia samples. Moreover, the up-regulation of these markers might be in association with sugars and polyols metabolism. CONCLUSIONS: In the present study, comparative urine metabolomics selected putative metabolite markers for the detection of early-stage bladder cancer. The suggested relations between early-stage bladder cancer and sugars and polyols metabolism may create opportunities for improving the detection of bladder cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04235-z. |
format | Online Article Text |
id | pubmed-8180080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81800802021-06-07 Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics Lin, Jia-You Juo, Bao-Rong Yeh, Yu-Hsuan Fu, Shu-Hsuan Chen, Yi-Ting Chen, Chien-Lun Wu, Kun-Pin BMC Bioinformatics Research BACKGROUND: Early detection of bladder cancer remains challenging because patients with early-stage bladder cancer usually have no incentive to take cytology or cystoscopy tests if they are asymptomatic. Our goal is to find non-invasive marker candidates that may help us gain insight into the metabolism of early-stage bladder cancer and be examined in routine health checks. RESULTS: We acquired urine samples from 124 patients diagnosed with early-stage bladder cancer or hernia (63 cancer patients and 61 controls). In which 100 samples were included in our marker discovery cohort, and the remaining 24 samples were included in our independent test cohort. We obtained metabolic profiles of 922 compounds of the samples by gas chromatography-mass spectrometry. Based on the metabolic profiles of the marker discovery cohort, we selected marker candidates using Wilcoxon rank-sum test with Bonferroni correction and leave-one-out cross-validation; we further excluded compounds detected in less than 60% of the bladder cancer samples. We finally selected eight putative markers. The abundance of all the eight markers in bladder cancer samples was high but extremely low in hernia samples. Moreover, the up-regulation of these markers might be in association with sugars and polyols metabolism. CONCLUSIONS: In the present study, comparative urine metabolomics selected putative metabolite markers for the detection of early-stage bladder cancer. The suggested relations between early-stage bladder cancer and sugars and polyols metabolism may create opportunities for improving the detection of bladder cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04235-z. BioMed Central 2021-06-05 /pmc/articles/PMC8180080/ /pubmed/34090341 http://dx.doi.org/10.1186/s12859-021-04235-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lin, Jia-You Juo, Bao-Rong Yeh, Yu-Hsuan Fu, Shu-Hsuan Chen, Yi-Ting Chen, Chien-Lun Wu, Kun-Pin Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics |
title | Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics |
title_full | Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics |
title_fullStr | Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics |
title_full_unstemmed | Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics |
title_short | Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics |
title_sort | putative markers for the detection of early-stage bladder cancer selected by urine metabolomics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180080/ https://www.ncbi.nlm.nih.gov/pubmed/34090341 http://dx.doi.org/10.1186/s12859-021-04235-z |
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