Evidence map›Paper›PMID 32940815›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2020

Urinary fluorescent metabolite O-aminohippuric acid is a useful biomarker for lung cancer detection.

Kazuhito Funai, Katsu Honzawa, Masako Suzuki, Shigeru Momiki, Katsuyuki Asai, Norio Kasamatsu, Akikazu Kawase, Tomomi Shinke, Hiroyuki Okada, Sadahiko Nishizawa and 1 more

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Article in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Kazuhito FunaiFirst Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan. kfunai@hama-med.ac.jp.ORCID 0000-0001-8609-3305
Katsu HonzawaCentral Research Laboratory, Hamamatsu Photonics K.K., Hamamatsu, Japan.
Masako SuzukiAdvanced Research Facilities and Services, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Shigeru MomikiDepartment of Thoracic Surgery, Hamamatsu Medical Center, Hamamatsu, Japan.
Katsuyuki AsaiDepartment of Thoracic Surgery, Hamamatsu Medical Center, Hamamatsu, Japan.
Norio KasamatsuDepartment of Respiratory Medicine, Hamamatsu Medical Center, Hamamatsu, Japan.
Akikazu KawaseFirst Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan.
Tomomi ShinkeGlobal Strategic Challenge Center, Hamamatsu Photonics K.K., Hamamatsu, Japan.
Hiroyuki OkadaGlobal Strategic Challenge Center, Hamamatsu Photonics K.K., Hamamatsu, Japan.
Sadahiko NishizawaHamamatsu Medical Imaging Center, Hamamatsu Medical Photonics Foundation, Hamamatsu, Japan.
Hisayoshi TakamotoCentral Research Laboratory, Hamamatsu Photonics K.K., Hamamatsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUrine contains diagnostically important metabolites that can act as natural fluorophores. However, whether these fluorescent metabolites can be used in lung cancer diagnosis is unknown.

objectivesThis study was conducted to determine whether fluorescent urinary metabolites could be useful biomarkers for lung cancer detection.

methodsA total of 46 lung cancer patients and 185 volunteers without cancer were evaluated between November 2013 and November 2014. Samples of the first urine of the day were collected from lung cancer patients and diagnosed at the Hamamatsu University School of Medicine and the Hamamatsu Medical Center prior to cancer treatment, and from volunteers without cancer at the Hamamatsu Medical Imaging Center. Fluorescent urinary metabolites were screened by high-performance liquid chromatography and select effective fluorescent substances for distinguishing cancer from non-cancer status.

resultsThe fraction of patients at each stage of cancer severity were: 41.3% stage I, 8.7% stage II, 19.6% stage III, and 30.4% stage IV. A robust predictive biomarker for lung cancer was selected by the multivariate logistic analysis of fluorescent metabolites and identified to be O-aminohippuric acid (OAH). The area under the curve (AUC) data for OAH was 0.837 (95% CI 0.769-0.898, P < 0.001).

conclusionWe identified a fluorescent urinary metabolite that can predict lung cancer. OAH exceeds the AUC (0.817) of lung cancer detection by AminoIndex® cancer screening, can be analyzed non-invasively without additional sample processing, and may be a valuable addition to existing lung cancer prediction models.

Indexed as

AdultAminohippuric AcidsArea Under CurveBiomarkers, TumorChromatography, High Pressure LiquidEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedPrognosisROC Curve2-aminohippuric acidAminohippuric AcidsBiomarkers, TumorBiomarkerLung cancerO-aminohippuric acidUrinary fluorescent metabolite

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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.