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Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer
To address the shortcomings of cystoscopy and urine cytology for detecting and grading bladder cancer (BC), ultrahigh performance liquid chromatography (UHPLC) coupled with Q-TOF mass spectrometry in conjunction with univariate and multivariate statistical analyses was employed as an alternative met...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5382774/ https://www.ncbi.nlm.nih.gov/pubmed/28382976 http://dx.doi.org/10.1038/srep46176 |
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author | Tan, Guangguo Wang, Haibo Yuan, Jianlin Qin, Weijun Dong, Xin Wu, Hong Meng, Ping |
author_facet | Tan, Guangguo Wang, Haibo Yuan, Jianlin Qin, Weijun Dong, Xin Wu, Hong Meng, Ping |
author_sort | Tan, Guangguo |
collection | PubMed |
description | To address the shortcomings of cystoscopy and urine cytology for detecting and grading bladder cancer (BC), ultrahigh performance liquid chromatography (UHPLC) coupled with Q-TOF mass spectrometry in conjunction with univariate and multivariate statistical analyses was employed as an alternative method for the diagnosis of BC. A series of differential serum metabolites were further identified for low-grade(LG) and high-grade(HG) BC patients, suggesting metabolic dysfunction in malignant proliferation, immune escape, differentiation, apoptosis and invasion of cancer cells in BC patients. In total, three serum metabolites including inosine, acetyl-N-formyl-5-methoxykynurenamine and PS(O-18:0/0:0) were selected by binary logistic regression analysis, and receiver operating characteristic (ROC) test based on their combined use for HG BC showed that the area under the curve (AUC) was 0.961 in the discovery set and 0.950 in the validation set when compared to LG BC. Likewise, this composite biomarker panel can also differentiate LG BC from healthy controls with the AUC of 0.993 and 0.991 in the discovery and validation set, respectively. This finding suggested that this composite serum metabolite signature was a promising and less invasive classifier for probing and grading BC, which deserved to be further investigated in larger samples. |
format | Online Article Text |
id | pubmed-5382774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53827742017-04-11 Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer Tan, Guangguo Wang, Haibo Yuan, Jianlin Qin, Weijun Dong, Xin Wu, Hong Meng, Ping Sci Rep Article To address the shortcomings of cystoscopy and urine cytology for detecting and grading bladder cancer (BC), ultrahigh performance liquid chromatography (UHPLC) coupled with Q-TOF mass spectrometry in conjunction with univariate and multivariate statistical analyses was employed as an alternative method for the diagnosis of BC. A series of differential serum metabolites were further identified for low-grade(LG) and high-grade(HG) BC patients, suggesting metabolic dysfunction in malignant proliferation, immune escape, differentiation, apoptosis and invasion of cancer cells in BC patients. In total, three serum metabolites including inosine, acetyl-N-formyl-5-methoxykynurenamine and PS(O-18:0/0:0) were selected by binary logistic regression analysis, and receiver operating characteristic (ROC) test based on their combined use for HG BC showed that the area under the curve (AUC) was 0.961 in the discovery set and 0.950 in the validation set when compared to LG BC. Likewise, this composite biomarker panel can also differentiate LG BC from healthy controls with the AUC of 0.993 and 0.991 in the discovery and validation set, respectively. This finding suggested that this composite serum metabolite signature was a promising and less invasive classifier for probing and grading BC, which deserved to be further investigated in larger samples. Nature Publishing Group 2017-04-06 /pmc/articles/PMC5382774/ /pubmed/28382976 http://dx.doi.org/10.1038/srep46176 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tan, Guangguo Wang, Haibo Yuan, Jianlin Qin, Weijun Dong, Xin Wu, Hong Meng, Ping Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer |
title | Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer |
title_full | Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer |
title_fullStr | Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer |
title_full_unstemmed | Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer |
title_short | Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer |
title_sort | three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5382774/ https://www.ncbi.nlm.nih.gov/pubmed/28382976 http://dx.doi.org/10.1038/srep46176 |
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