Evidence map›Paper›PMID 35756625›Full record

ArticleFrontiers in oncology2022

Untargeted LC-HRMS Based-Plasma Metabolomics Reveals 3-O-Methyldopa as a New Biomarker of Poor Prognosis in High-Risk Neuroblastoma.

Sebastiano Barco, Chiara Lavarello, Davide Cangelosi, Martina Morini, Alessandra Eva, Luca Oneto, Paolo Uva, Gino Tripodi, Alberto Garaventa, Massimo Conte and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% of its field
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 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

12 authors at 2 institutions in 1 country.

Sebastiano BarcoChromatography and Mass Spectrometry Section, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Chiara LavarelloCore Facilities Clinical Proteomics and Metabolomics, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Davide CangelosiClinical Bioinformatics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Martina MoriniLaboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Alessandra EvaLaboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Luca OnetoDIBRIS, University of Genoa, Genoa, Italy.
Paolo UvaClinical Bioinformatics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Gino TripodiChromatography and Mass Spectrometry Section, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Alberto GaraventaDepartment of Pediatric Oncology and Hematology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Massimo ConteDepartment of Pediatric Oncology and Hematology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Andrea PetrettoCore Facilities Clinical Proteomics and Metabolomics, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Giuliana CangemiChromatography and Mass Spectrometry Section, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Istituto Giannina Gaslini · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma (NB) is the most common extracranial malignant tumor in children. Although the survival rate of NB has improved over the years, the outcome of NB still remains poor for over 30% of cases. A more accurate risk stratification remains a key point in the study of NB and the availability of novel prognostic biomarkers of "high-risk" at diagnosis could help improving patient stratification and predicting outcome. In this paper we show a biomarker discovery approach applied to the plasma of 172 NB patients. Plasma samples from a first cohort of NB patients and age-matched healthy controls were used for untargeted metabolomics analysis based on high-resolution mass spectrometry (HRMS). Differential expression analysis highlighted a number of metabolites annotated with a high degree of identification. Among them, 3-O-methyldopa (3-O-MD) was validated in a second cohort of NB patients using a targeted metabolite profiling approach and its prognostic potential was also analyzed by survival analysis on patients with 3 years follow-up. High expression of 3-O-MD was associated with worse prognosis in the subset of patients with stage M tumor (log-rank p < 0.05) and, among them, it was confirmed as a prognostic factor able to stratify high-risk patients older than 18 months. 3-O-MD might be thus considered as a novel prognostic biomarker of NB eligible to be included at diagnosis among catecholamine metabolite panels in prospective clinical studies. Further studies are warranted to exploit other potential biomarkers highlighted using our approach.

Indexed as

3-O-methyldopabiomarkercatecholamineshigh resolution mass spectrometrymetabolomicsneuroblastoma

Identifiers

PMID35756625
PMCPMC9231354
OpenAlexW4282014924

What OpenQuestion holds

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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.