Journal Article Epublish 19 citations
PubMed: 34090341 DOI: 10.1186/s12859-021-04235-z
Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics.
BMC Bioinformatics 22(1):305
Authors: Jia-You Lin, Bao-Rong Juo, Yu-Hsuan Yeh, Shu-Hsuan Fu, Yi-Ting Chen, Chien-Lun Chen, Kun-Pin Wu
Affiliations
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, 33302, Taiwan.
- Department of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, 33302, Taiwan. Department of Biomedical Sciences, Chang Gung University, Taoyuan, 33302, Taiwan.
- Department of Urology, Chang Gung Memorial Hospital, Taoyuan, 33305, Taiwan.
- College of Medicine, Chang Gung University, Taoyuan, 33302, Taiwan.
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Abstract
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.
MeSH
Computational Biology, Biomarkers, Urinary Bladder Neoplasms, Hernia, Up-Regulation, Metabolomics
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- C Natural Isotope Abundance in Urothelium as a New Marker in the Follow-Up of Patients with Bladder Cancer. Cancers (Basel), 2022
- Urinary Metabolic Markers of Bladder Cancer: A Reflection of the Tumor or the Response of the Body? Metabolites, 2021
- Analysis of VOCs in Urine Samples Directed towards of Bladder Cancer Detection. Molecules, 2022
- Metabolomics for the diagnosis of bladder cancer: A systematic review. Asian J Urol, 2024
- Oncological effectiveness of bladder-preserving trimodal therapy versus radical cystectomy for the treatment of muscle-invasive bladder cancer: a system review and meta-analysis. World J Surg Oncol, 2023
- A Liquid Biopsy in Bladder Cancer-The Current Landscape in Urinary Biomarkers. Int J Mol Sci, 2022