Evidence map›Paper›PMID 39852380›Full record

ReviewMetabolites2025

Volatile Organic Metabolites as Potential Biomarkers for Genitourinary Cancers: Review of the Applications and Detection Methods.

Kiana L Holbrook, Wen-Yee Lee

Abstract readReview
In one paragraph

Review in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
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

2 authors.

Kiana L HolbrookDepartment of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0001-8018-2091
Wen-Yee LeeDepartment of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0002-1568-5546

Funding

UTEP Border Biomedical Research CenterU54MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI Marc B Cox · 2019 to 2026
$35.1M
G-RISE at the University of Texas at El PasoT32GM144919 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI AGUILERA, RENATO J · 2022 to 2024
$1.5M
Urinary biomarkers for prostate cancer diagnosis and risk assessmentSC1CA245675 · NCI · UNIVERSITY OF TEXAS EL PASO · PI LEE, WEN-YEE · 2019 to 2023
$1.5M
NCI NIH HHS SC1 CA245675NIGMS NIH HHS T32 GM144919NIH HHS SC1CA245675, U54MD007592, 1T32GM144919NIMHD NIH HHS U54 MD007592
6 · The paper itself

Abstract

Cancer is one of the leading causes of death globally, and is ranked second in the United States. Early detection is crucial for more effective treatment and a higher chance of survival rates, reducing burdens on individuals and societies. Genitourinary cancers, in particular, face significant challenges in early detection. Finding new and cost-effective diagnostic methods is of clinical need. Metabolomic-based approaches, notably volatile organic compound (VOC) analysis, have shown promise in detecting cancer. VOCs are small organic metabolites involved in biological processes and disease development. They can be detected in urine, breath, and blood samples, making them potential candidates for sensitive and non-invasive alternatives for early cancer detection. However, developing robust VOC detection methods remains a hurdle. This review outlines the current landscape of major genitourinary cancers (kidney, prostate, bladder, and testicular), including epidemiology, risk factors, and current diagnostic tools. Furthermore, it explores the applications of using VOCs as cancer biomarkers, various analytical techniques, and comparisons of extraction and detection methods across different biospecimens. The potential use of VOCs in detection, monitoring disease progression, and treatment responses in the field of genitourinary oncology is examined.

Indexed as

biomarkersgas chromatography–mass spectrometrygenitourinary cancerliquid chromatography–mass spectrometryvolatile organic compounds

Identifiers

PMID39852380
PMCPMC11767221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.