Evidence map›Paper›PMID 30830422›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Metabolomic identification of diagnostic serum-based biomarkers for advanced stage melanoma.

A W L Bayci, D A Baker, A E Somerset, O Turkoglu, Z Hothem, R E Callahan, R Mandal, B Han, T Bjorndahl, D Wishart and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  16. Predictive Modeling for Metabolomics Data.Methods in molecular biology (Clifton, N.J.) · 2020
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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

13 authors at 2 institutions in 2 countries.

A W L BayciDepartment of General Surgery, Beaumont Health, Royal Oak, MI, USA.
D A BakerDepartment of General Surgery, Beaumont Health, Royal Oak, MI, USA. Dustin.Baker@beaumont.edu.
A E SomersetDepartment of General Surgery, Beaumont Health, Royal Oak, MI, USA.
O TurkogluDepartment of Obstetrics and Gynecology, Beaumont Health, Royal Oak, MI, USA.
Z HothemDepartment of General Surgery, Beaumont Health, Royal Oak, MI, USA.
R E CallahanDepartment of General Surgery, Beaumont Health, Royal Oak, MI, USA.
R MandalDepartment of Biological and Computing Sciences, University of Alberta Edmonton, Edmonton, AB, Canada.
B HanDepartment of Biological and Computing Sciences, University of Alberta Edmonton, Edmonton, AB, Canada.
T BjorndahlDepartment of Biological and Computing Sciences, University of Alberta Edmonton, Edmonton, AB, Canada.
D WishartDepartment of Biological and Computing Sciences, University of Alberta Edmonton, Edmonton, AB, Canada.
R Bahado-SinghDepartment of Obstetrics and Gynecology, Beaumont Health, Royal Oak, MI, USA.
S F GrahamDepartment of Obstetrics and Gynecology, Beaumont Health, Royal Oak, MI, USA.
R KeidanDepartment of General Surgery, Beaumont Health, Royal Oak, MI, USA.
Beaumont Health · USUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMelanoma is a highly aggressive malignancy and is currently one of the fastest growing cancers worldwide. While early stage (I and II) disease is highly curable with excellent prognosis, mortality rates rise dramatically after distant spread. We sought to identify differences in the metabolome of melanoma patients to further elucidate the pathophysiology of melanoma and identify potential biomarkers to aid in earlier detection of recurrence.

methodsUsing

resultsWe accurately quantified 181 metabolites in serum using a combination of

conclusionTargeted metabolomic analysis demonstrated significant differences in metabolic profiles of advanced stage (III and IV) melanoma patients as compared to controls. These differences may represent a potential avenue for the development of multi-marker serum-based assays for earlier detection of recurrences, allow for newer, more effective targeted therapy when tumor burden is less, and further elucidate the pathophysiologic changes that occur in melanoma.

Indexed as

MetabolomeAgedBiomarkers, TumorCase-Control StudiesChromatography, LiquidCohort StudiesFemaleHumansLymphatic MetastasisMaleMelanomaMiddle AgedPrognosisROC CurveSerumTandem Mass SpectrometryBiomarkers, TumorAmino acidsMelanomaMetabolomicsSerum biomarkers

Identifiers

PMID30830422
OpenAlexW2886206553

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.