Evidence map›Paper›PMID 39941918›Full record

ArticleCancers2025

Untargeted Metabolomics and Liquid Biopsy Investigation of Circulating Biomarkers in Soft Tissue Sarcoma.

Daniela Grasso, Barbara Marzocchi, Guido Scoccianti, Ilaria Palchetti, Domenico Andrea Campanacci, Lorenzo Antonuzzo, Federico Scolari, Serena Pillozzi, Andrea Bernini

Abstract read
In one paragraph

Article in Cancers, 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. Article
  2. Circulating Biomarkers in Sarcoma.Current oncology reports · 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

9 authors.

Daniela GrassoDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Via A, Moro 2, 53100 Siena, Italy.ORCID 0000-0001-7708-9339
Barbara MarzocchiDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Via A, Moro 2, 53100 Siena, Italy.
Guido ScocciantiDepartment of Orthopaedic Oncology and Reconstructive Surgery, Careggi University Hospital, Largo Giovanni Alessandro Brambilla 3, 50134 Florence, Italy.
Ilaria PalchettiDepartment of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Florence, Italy.ORCID 0000-0001-9366-0574
Domenico Andrea CampanacciDepartment of Orthopaedic Oncology and Reconstructive Surgery, Careggi University Hospital, Largo Giovanni Alessandro Brambilla 3, 50134 Florence, Italy.ORCID 0000-0002-3912-3943
Lorenzo AntonuzzoDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy.
Federico ScolariDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Morgagni 50, 50134 Florence, Italy.ORCID 0000-0001-5490-672X
Serena PillozziDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Morgagni 50, 50134 Florence, Italy.ORCID 0000-0001-8861-8718
Andrea BerniniDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Via A, Moro 2, 53100 Siena, Italy.ORCID 0000-0002-7528-2749

Funding

Regione Toscana D78D20000870002
6 · The paper itself

Abstract

backgroundSoft tissue sarcomas (STSs) are rare, highly malignant mesenchymal tumours, comprising approximately 1% of all adult cancers and about 15% of paediatric solid tumours. STSs exhibit considerable genomic complexity with diverse subtypes, posing significant clinical challenges.

objectivesThis study aims to characterise the molecular signature of primary STS through liquid biopsies and the untargeted metabolomic profiling of 75 patients, providing deep insights into cellular processes and potential therapeutic targets.

methodsThis study analysed serum samples using nuclear magnetic resonance (NMR) spectroscopy for metabolomic profiling. Multivariate data analysis and machine learning classifiers were employed to identify biomarkers.

resultsA panel of eleven significant deregulated metabolites were discovered in serum samples of patients with STS, with potential implications for cancer diagnosis and treatment.

conclusionsCholine decrease emerged as a marker for cancer progression, highlighting the potential of targeting its metabolism for therapeutic approaches in STS. The NMR analysis protocol proved effective for determining circulating biomarkers from liquid biopsies, making it suitable for rare disease research.

Indexed as

choline metabolismketone bodiesliquid biopsymachine learningmetabolomicsnuclear magnetic resonancepurine salvageserum biomarkerssoft tissue sarcoma

Identifiers

PMID39941918
PMCPMC11817886

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Registered trials

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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.