Evidence map›Paper›PMID 39895210›Full record

ArticleCancer science2025

Supersulfide metabolome of exhaled breath condensate applied as diagnostic biomarkers for esophageal cancer.

Seji Asamitsu, Yohei Ozawa, Hiroshi Okamoto, Seiryo Ogata, Tetsuro Matsunaga, Jun Yoshitake, Kazuki Fusegawa, Yusuke Taniyama, Chiaki Sato, Hirotaka Ishida and 4 more

Abstract read
In one paragraph

Article in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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

14 authors.

Seji AsamitsuDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0009-0007-3315-3061
Yohei OzawaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hiroshi OkamotoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Seiryo OgataDepartment of Environmental Medicine and Molecular Toxicology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tetsuro MatsunagaDepartment of Environmental Medicine and Molecular Toxicology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Jun YoshitakeDepartment of Environmental Medicine and Molecular Toxicology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kazuki FusegawaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yusuke TaniyamaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Chiaki SatoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hirotaka IshidaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Takaaki AbeDepartment of Clinical Biology and Hormonal Regulation, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hozumi MotohashiDepartment of Medical Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan.
Takaaki AkaikeDepartment of Environmental Medicine and Molecular Toxicology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Takashi KameiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.

Funding

Core Research for Evolutional Science and Technology 18H05277Core Research for Evolutional Science and Technology 21H05263Core Research for Evolutional Science and Technology 22K06893Core Research for Evolutional Science and Technology 22K19397Core Research for Evolutional Science and Technology 23K14333Core Research for Evolutional Science and Technology 23K20040Core Research for Evolutional Science and Technology 24H00063Core Research for Evolutional Science and Technology JPMJCR2024Japan Agency for Medical Research and Development JP22zf0127001
6 · The paper itself

Abstract

Early detection of esophageal cancer is essential for esophagogastroduodenoscopy and histopathological diagnosis. However, endoscopic examinations are sometimes invasive, which limits their clinical application and compliance, and traditional blood tumor markers are unsuitable for cancer screening. The current study aimed to evaluate the usefulness of sulfur metabolites as new biomarkers for esophageal cancer using blood samples and exhaled breath condensate (EBC), which can be readily obtained and is non-invasive. We collected EBC and plasma samples from 50 patients with esophageal cancer and 30 healthy controls. Sulfur metabolome analysis using tandem mass spectrometry was performed to compare the metabolic profile between the two groups. Supersulfide metabolic profiles were different between the two cohorts. Supersulfide metabolome analysis showed that cysteine hydropersulfide (CysSSH) and homocysteine hydropersulfide (HomoCysSSH) were increased in the plasma of patients with esophageal cancer. Elevated levels of HomoCysSSH could distinguish patients with esophageal cancer from healthy subjects (area under the curve [AUC]: 0.93, sensitivity: 89%, specificity: 96%). Interestingly, we also detected an elevation of supersulfides in the EBC analysis. CysSSH levels significantly increased in the EBC recovered from patients with esophageal cancer (AUC: 0.71, sensitivity: 60%, specificity: 96%). In addition, the observed level was correlated with that of HomoCysSSH in the plasma (r = 0.27). Supersulfides, such as CysSSH and HomoCysSSH, are potential biomarkers for detecting esophageal cancer. CysSSH from EBC may serve as a valuable non-invasive biomarker with similar detection ability but with superior precision and convenience compared with the currently available blood biomarkers.

Indexed as

Biomarkers, TumorEsophageal NeoplasmsMetabolomeSulfidesAdultAgedBreath TestsCase-Control StudiesCysteineEarly Detection of CancerExhalationFemaleHomocysteineHumansMaleMiddle AgedBiomarkers, TumorCysteineHomocysteineSulfidesbiomarkersdigestive systemesophageal neoplasmsmetabolometandem mass spectrometry

Identifiers

PMID39895210
PMCPMC11967250

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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.