Evidence map›Paper›PMID 34090341›Full record

ArticleBMC bioinformatics2021

Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics.

Jia-You Lin, Bao-Rong Juo, Yu-Hsuan Yeh, Shu-Hsuan Fu, Yi-Ting Chen, Chien-Lun Chen, Kun-Pin Wu

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Advances in Liquid Biopsy for Diagnosis of Bladder Cancer.International neurourology journal · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Cancers · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Jia-You Lin *Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Bao-Rong Juo *Molecular Medicine Research Center, Chang Gung University, Taoyuan, 33302, Taiwan.
Yu-Hsuan YehDepartment of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Shu-Hsuan FuMolecular Medicine Research Center, Chang Gung University, Taoyuan, 33302, Taiwan.
Yi-Ting ChenMolecular Medicine Research Center, Chang Gung University, Taoyuan, 33302, Taiwan.
Chien-Lun ChenDepartment of Urology, Chang Gung Memorial Hospital, Taoyuan, 33305, Taiwan. clc2679@cgmh.org.tw.
Kun-Pin WuInstitute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan. kpwu@nycu.edu.tw.
Chang Gung University · TWNational Yang Ming Chiao Tung University · TWChang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly 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.

resultsWe 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.

conclusionsIn 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.

Indexed as

Urinary Bladder NeoplasmsBiomarkers, TumorGas Chromatography-Mass SpectrometryHumansMetabolomeMetabolomicsBiomarkers, TumorBioinformaticsBiomarkersGas chromatography-mass spectrometryMetabolomicsOmics data analysis

Identifiers

PMID34090341
PMCPMC8180080
OpenAlexW3166566839

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.