Evidence map›Paper›PMID 38795133›Full record

ArticleWorld journal of urology2024

Pilot study for bladder cancer detection with volatile organic compounds using ion mobility spectrometry: a novel urine-based approach.

Hendrik Heers, Josef Maximilian Gut, Rainer Hofmann, Luka Flegar, Marcus Derigs, Johannes Huber, Joerg Ingo Baumbach, Andreas Rembert Koczulla, Tobias Boeselt

Abstract read
In one paragraph

Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Hendrik HeersDepartment of Urology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany. heers@med.uni-marburg.de.ORCID http://orcid.org/0000-0002-7157-5077
Josef Maximilian GutDepartment of Urology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany.
Rainer HofmannDepartment of Urology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany.
Luka FlegarDepartment of Urology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany.
Marcus DerigsDepartment of Urology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany.
Johannes HuberDepartment of Urology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany.
Joerg Ingo BaumbachDepartment Bio- and Chemical Engineering, Technical University Dortmund, Emil-Figge-Straße 66, 44227, Dortmund, Germany.
Andreas Rembert KoczullaDepartment of Pulmonology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany.
Tobias BoeseltDepartment of Pulmonology, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite many efforts, no reliable urinary marker system has so far shown the potential to substitute cystoscopy. Measuring volatile organic compounds (VOCs) from urine is a promising alternative. VOCs are metabolic products which can be measured from the headspace of urine samples. Previous studies confirmed that the urine of bladder tumor patients has a different VOC profile than healthy controls. In this pilot study, the feasibility of discriminating VOCs from urine of bladder cancer patients from that of healthy control subjects was investigated. Aim of this study was to investigate whether VOC-based diagnosis of bladder cancer from urine samples is feasible using multicapillary column ion mobility spectrometry (MCC/IMS) and to identify potential molecular correlates to the relevant analytes.

methodsHeadspace measurements of urine samples of 30 patients with confirmed transitional cell carcinoma (TCC) and 30 healthy controls were performed using MCC/IMS. In the results of the measurements, peaks showing significant differences between both groups were identified and implemented into a decision tree with respect to achieve group separation. Molecular correlates were predicted using a pre-defined dataset.

resultsEight peaks with significantly differing intensity were identified, 5 of which were highly significant. Using a six-step decision tree, MCC/IMS showed a sensitivity of 90% and specificity of 100% in group separation.

conclusionVOC-based detection of bladder cancer is feasible. MCC/IMS is a suitable method for urine-based diagnosis and should be further validated. The molecular characteristics and metabolic background of the analytes require further workup.

Indexed as

Carcinoma, Transitional CellIon Mobility SpectrometryUrinary Bladder NeoplasmsVolatile Organic CompoundsAgedAged, 80 and overBiomarkers, TumorFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsBiomarkers, TumorVolatile Organic CompoundsBiomarkerBladder cancerIon mobility spectrometryVolatile organic compounds

Identifiers

PMID38795133
PMCPMC11127872

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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.