Evidence map›Paper›PMID 22291914›Full record

ArticlePloS one2012

Esophageal cancer metabolite biomarkers detected by LC-MS and NMR methods.

Jian Zhang, Jeremiah Bowers, Lingyan Liu, Siwei Wei, G A Nagana Gowda, Zane Hammoud, Daniel Raftery

Registry-linked trialOpen access · goldAbstract readEvaluation StudyValidation Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06642506 (Oncometabolome and MALDI-MSI in Upper GI Carcinomas - Chemosensitivity in Esophageal Carcinoma.), which is not on this map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
11.5field-weighted citation impact, top 1% 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.

NCT06642506 active not recruitingnot on this mapstarted 2024, after this paper: background citation

Oncometabolome and MALDI-MSI in Upper GI Carcinomas - Chemosensitivity in Esophageal Carcinoma.

TypeobservationalSponsorLudwig-Maximilians - University of MunichRan2024 to 2025Enrolled20ConditionsEsophagus Adenocarcinoma, Esophagus Cancer, Metabolome, Mass Spectrometry
3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 130 citations in OpenAlex.

  1. Pooled it
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  11. Frontiers in oncology · 2023
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9 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Jian ZhangDepartment of Chemistry, Purdue University, West Lafayette, Indiana, United States of America.
Jeremiah Bowers
Lingyan Liu
Siwei Wei
G A Nagana Gowda
Zane Hammoud
Daniel Raftery
Purdue University West Lafayette · USHenry Ford Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal adenocarcinoma (EAC) is a rarely curable disease and is rapidly rising worldwide in incidence. Barret's esophagus (BE) and high-grade dysplasia (HGD) are considered major risk factors for invasive adenocarcinoma. In the current study, unbiased global metabolic profiling methods were applied to serum samples from patients with EAC, BE and HGD, and healthy individuals, in order to identify metabolite based biomarkers associated with the early stages of EAC with the goal of improving prognostication. METHODOLOGY/PRINCIPAL

findingsSerum metabolite profiles from patients with EAC (n = 67), BE (n = 3), HGD (n = 9) and healthy volunteers (n = 34) were obtained using high performance liquid chromatography-mass spectrometry (LC-MS) methods. Twelve metabolites differed significantly (p<0.05) between EAC patients and healthy controls. A partial least-squares discriminant analysis (PLS-DA) model had good accuracy with the area under the receiver operative characteristic curve (AUROC) of 0.82. However, when the results of LC-MS were combined with 8 metabolites detected by nuclear magnetic resonance (NMR) in a previous study, the combination of NMR and MS detected metabolites provided a much superior performance, with AUROC = 0.95. Further, mean values of 12 of these metabolites varied consistently from healthy controls to the high-risk individuals (BE and HGD patients) and EAC subjects. Altered metabolic pathways including a number of amino acid pathways and energy metabolism were identified based on altered levels of numerous metabolites. CONCLUSIONS/SIGNIFICANCE: Metabolic profiles derived from the combination of LC-MS and NMR methods readily distinguish EAC patients and potentially promise important routes to understanding the carcinogenesis and detecting the cancer. Differences in the metabolic profiles between high-risk individuals and the EAC indicate the possibility of identifying the patients at risk much earlier to the development of the cancer.

Indexed as

Nuclear Magnetic Resonance, BiomolecularAdenocarcinomaBarrett EsophagusBiomarkers, TumorCase-Control StudiesChromatography, LiquidEarly Detection of CancerEsophageal NeoplasmsFemaleHumansMaleMass SpectrometryMetabolomeROC CurveBiomarkers, Tumor

Identifiers

PMID22291914
PMCPMC3264576
OpenAlexW2015186052

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.