Evidence map›Paper›PMID 40854581›Full record

ArticleCancer science2025

Cystathionine as a Potential Urinary Marker for Diagnosing and Assessing Pretreatment Risk in Neuroblastoma.

Hizuru Amano, Yoshiharu Hayashi, Kazuharu Harada, Atsushi Narita, Shigehisa Fumino, Yuji Yamada, Shuhei Karakawa, Minoru Sakairi, Chiyoe Shirota, Takahisa Tainaka and 17 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Hizuru AmanoDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0001-5373-9069
Yoshiharu HayashiDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazuharu HaradaDepartment of Health Data Science, Tokyo Medical University, Tokyo, Japan.
Atsushi NaritaDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shigehisa FuminoDepartment of Pediatric Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yuji YamadaChildren's Cancer Center, National Center for Child Health and Development, Tokyo, Japan.
Shuhei KarakawaDepartment of Pediatrics, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Minoru SakairiDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Chiyoe ShirotaDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takahisa TainakaDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazuki YokotaDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Satoshi MakitaDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Daiki KatoDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hiroki IshiiDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kyoichi DeieDepartment of Surgery, Saitama Children's Medical Center, Saitama, Japan.
Makiko MoriDepartment of Hematology/Oncology, Saitama Children's Medical Center, Saitama, Japan.
Yuichi MitaniDepartment of Hematology/Oncology, Saitama Children's Medical Center, Saitama, Japan.
Yutaka TomiokaDepartment for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, Chiba, Japan.
Masataka TaguriDepartment of Health Data Science, Tokyo Medical University, Tokyo, Japan.
Katsuyoshi KohDepartment of Hematology/Oncology, Saitama Children's Medical Center, Saitama, Japan.
Tatsuro TajiriDepartment of Pediatric Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Motohiro KatoDepartment of Pediatrics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
Kimikazu MatsumotoChildren's Cancer Center, National Center for Child Health and Development, Tokyo, Japan.
Yoshiyuki TakahashiDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Tomoko IeharaDepartment of Pediatrics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Akinari HinokiDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hiroo UchidaDepartment of Pediatric Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

Japan Agency for Medical Research and Development JP24ama221435Japan Society for the Promotion of Science JP24K11018
6 · The paper itself

Abstract

Urinary homovanillic acid (HVA) and vanillylmandelic acid (VMA) are widely used diagnostic markers for neuroblastoma, but urinary markers for risk assessment prior to invasive biopsy are lacking. We hypothesized that cystathionine (CTN) may be a new neuroblastoma biomarker and evaluated its utility for diagnosis and pretreatment risk assessment. 80 participants provided 202 urine samples: 32 from 32 control participants, 29 from 29 patients with primary neuroblastoma, and 141 from 30 patients with residual tumors, 11 of whom had primary neuroblastoma. Urinary CTN and HVA/VMA concentrations were measured using liquid chromatography/mass spectrometry. The area under the receiver operating characteristic curve (ROC-AUC) was used to evaluate diagnostic and pretreatment risk assessment performance according to the International Neuroblastoma Risk Group (INRG) pretreatment risk classification and the revised 2021 Children's Oncology Group (COG) neuroblastoma risk classification. Associations with prognostic factors were also evaluated. The AUC values for diagnosis were 0.920, 0.903, and 0.946 for HVA, VMA, and CTN, respectively. For pretreatment risk assessment (high-risk versus intermediate- and low-risk, and high- and intermediate-risk versus low-risk) the AUCs according to the INRG classification were 0.576 and 0.578 for HVA, 0.524 and 0.513 for VMA, and 0.852 and 0.708 for CTN, respectively, whereas they were 0.530 and 0.741 for HVA, 0.510 and 0.796 for VMA, and 0.758 and 0.981 for CTN, respectively, according to the COG classification. The values for MYCN status were 0.844 for HVA, 0.844 for VMA, and 0.942 for CTN. CTN may be a useful urinary marker for neuroblastoma diagnosis and pretreatment risk assessment.

Indexed as

Biomarkers, TumorCystathionineNeuroblastomaAdolescentCase-Control StudiesChildChild, PreschoolFemaleHomovanillic AcidHumansInfantMalePrognosisRisk AssessmentROC CurveVanilmandelic AcidBiomarkers, TumorCystathionineHomovanillic AcidVanilmandelic Acidbiomarkercystathionineneuroblastoma

Identifiers

PMID40854581
PMCPMC12580876

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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.