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Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy

Numerous patients with muscle-invasive bladder cancer develop low responsiveness to cisplatin. Our purpose was to explore differential metabolites derived from serum in bladder cancer patients treated with neoadjuvant chemotherapy (NAC). Data of patients diagnosed with cT2-4aNxM0 was collected. Bloo...

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Autores principales: Zhuang, Juntao, Yang, Xiao, Zheng, Qi, Li, Kai, Cai, Lingkai, Yu, Hao, Lv, Jiancheng, Bai, Kexin, Cao, Qiang, Li, Pengchao, Yang, Haiwei, Wang, Junsong, Lu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229374/
https://www.ncbi.nlm.nih.gov/pubmed/35736490
http://dx.doi.org/10.3390/metabo12060558
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author Zhuang, Juntao
Yang, Xiao
Zheng, Qi
Li, Kai
Cai, Lingkai
Yu, Hao
Lv, Jiancheng
Bai, Kexin
Cao, Qiang
Li, Pengchao
Yang, Haiwei
Wang, Junsong
Lu, Qiang
author_facet Zhuang, Juntao
Yang, Xiao
Zheng, Qi
Li, Kai
Cai, Lingkai
Yu, Hao
Lv, Jiancheng
Bai, Kexin
Cao, Qiang
Li, Pengchao
Yang, Haiwei
Wang, Junsong
Lu, Qiang
author_sort Zhuang, Juntao
collection PubMed
description Numerous patients with muscle-invasive bladder cancer develop low responsiveness to cisplatin. Our purpose was to explore differential metabolites derived from serum in bladder cancer patients treated with neoadjuvant chemotherapy (NAC). Data of patients diagnosed with cT2-4aNxM0 was collected. Blood samples were retained prospectively before the first chemotherapy for untargeted metabolomics by (1)H-NMR and UPLC-MS. To identify characterized metabolites, multivariate statistical analyses were applied, and the intersection of the differential metabolites discovered by the two approaches was used to identify viable biomarkers. A total of 18 patients (6 NAC-sensitive patients and 12 NAC-resistant patients) were enrolled. There were 29 metabolites detected by (1)H-NMR and 147 metabolites identified by UPLC-MS. Multivariate statistics demonstrated that in the sensitive group, glutamine and taurine were considerably increased compared to their levels in the resistant group, while glutamate and hypoxanthine were remarkably decreased. Pathway analysis and enrichment analysis showed significant alterations in amino acid pathways, suggesting that response to chemotherapy may be related to amino acid metabolism. In addition, hallmark analysis showed that DNA repair played a regulatory role. Overall, serum metabolic profiles of NAC sensitivity are significantly different in bladder cancer patients. Glycine, hypoxanthine, taurine and glutamine may be the potential biomarkers for clinical treatment. Amino acid metabolism has potential value in enhancing drug efficacy.
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spelling pubmed-92293742022-06-25 Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy Zhuang, Juntao Yang, Xiao Zheng, Qi Li, Kai Cai, Lingkai Yu, Hao Lv, Jiancheng Bai, Kexin Cao, Qiang Li, Pengchao Yang, Haiwei Wang, Junsong Lu, Qiang Metabolites Article Numerous patients with muscle-invasive bladder cancer develop low responsiveness to cisplatin. Our purpose was to explore differential metabolites derived from serum in bladder cancer patients treated with neoadjuvant chemotherapy (NAC). Data of patients diagnosed with cT2-4aNxM0 was collected. Blood samples were retained prospectively before the first chemotherapy for untargeted metabolomics by (1)H-NMR and UPLC-MS. To identify characterized metabolites, multivariate statistical analyses were applied, and the intersection of the differential metabolites discovered by the two approaches was used to identify viable biomarkers. A total of 18 patients (6 NAC-sensitive patients and 12 NAC-resistant patients) were enrolled. There were 29 metabolites detected by (1)H-NMR and 147 metabolites identified by UPLC-MS. Multivariate statistics demonstrated that in the sensitive group, glutamine and taurine were considerably increased compared to their levels in the resistant group, while glutamate and hypoxanthine were remarkably decreased. Pathway analysis and enrichment analysis showed significant alterations in amino acid pathways, suggesting that response to chemotherapy may be related to amino acid metabolism. In addition, hallmark analysis showed that DNA repair played a regulatory role. Overall, serum metabolic profiles of NAC sensitivity are significantly different in bladder cancer patients. Glycine, hypoxanthine, taurine and glutamine may be the potential biomarkers for clinical treatment. Amino acid metabolism has potential value in enhancing drug efficacy. MDPI 2022-06-17 /pmc/articles/PMC9229374/ /pubmed/35736490 http://dx.doi.org/10.3390/metabo12060558 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhuang, Juntao
Yang, Xiao
Zheng, Qi
Li, Kai
Cai, Lingkai
Yu, Hao
Lv, Jiancheng
Bai, Kexin
Cao, Qiang
Li, Pengchao
Yang, Haiwei
Wang, Junsong
Lu, Qiang
Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy
title Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy
title_full Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy
title_fullStr Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy
title_full_unstemmed Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy
title_short Metabolic Profiling of Bladder Cancer Patients’ Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy
title_sort metabolic profiling of bladder cancer patients’ serum reveals their sensitivity to neoadjuvant chemotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229374/
https://www.ncbi.nlm.nih.gov/pubmed/35736490
http://dx.doi.org/10.3390/metabo12060558
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