Evidence map›Paper›PMID 40795845›Full record

ArticleCell reports. Medicine2025

The serum metabolome serves as a diagnostic biomarker and discriminates patients with melanoma from healthy individuals.

Yasser Morsy, Barbara Hubeli, Patrick Turko, Marjam Barysch, Julia M Martínez-Gómez, Nicola Zamboni, Gerhard Rogler, Reinhard Dummer, Mitchell P Levesque, Michael Scharl

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Cutaneous Melanoma in the Context of Aging.Medicina (Kaunas, Lithuania) · 2025
    Review
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

10 authors.

Yasser MorsyDepartment of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Barbara HubeliDepartment of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Patrick TurkoDepartment of Dermatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Marjam BaryschDepartment of Dermatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Julia M Martínez-GómezDepartment of Dermatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Nicola ZamboniInstitute of Molecular Systems Biology, Federal Institute of Technology Zurich, 8093 Zurich, Switzerland.
Gerhard RoglerDepartment of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Reinhard DummerDepartment of Dermatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; Comprehensive Cancer Center Zurich, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Mitchell P LevesqueDepartment of Dermatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; Comprehensive Cancer Center Zurich, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Michael ScharlDepartment of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; Comprehensive Cancer Center Zurich, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland. Electronic address: michael.scharl@usz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is a deadly cancer with increasing incidence and mortality rates, and biomarkers for diagnosis are urgently needed. The impact of the microbiome, genetic factors, and immunologic markers on disease outcomes is described, but a comprehensive serum metabolome profiling is missing. The serum metabolome of patients with melanoma might be valuable to identify potential biomarkers. We present an untargeted metabolomics analysis in an exploratory cohort (87 patients with melanoma), an independent validation cohort (37 additional patients with melanoma featuring late-stage tumors), and 18 healthy control individuals, revealing striking differences. We identify and validate six serum metabolites that can predict the diagnosis of melanoma with an area under the curve (AUC) >0.9544 in advanced-stage melanoma. The AUC of our lead biomarker, muramic acid, is 0.964, 0.908, and 0.9936 in patients with stage I (n = 22), stage II (n = 67), and advanced melanoma (n = 86), respectively. In summary, we identify potentially very powerful diagnostic biomarkers for clinical practice.

Indexed as

Biomarkers, TumorMelanomaMetabolomeAdultAgedCase-Control StudiesFemaleHumansMaleMetabolomicsMiddle AgedBiomarkers, Tumordiagnostic biomarkermelanomaserum metabolomicsuntargeted metabolomics

Identifiers

PMID40795845
PMCPMC12432359

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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.