Evidence map›Paper›PMID 29518896›Full record

ArticleInternational journal of molecular sciences2018

Use of Metabolomics as a Complementary Omic Approach to Implement Risk Criteria for First-Degree Relatives of Gastric Cancer Patients.

Giuseppe Corona, Renato Cannizzaro, Gianmaria Miolo, Laura Caggiari, Mariangela De Zorzi, Ombretta Repetto, Agostino Steffan, Valli De Re

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  4. Correlation analysis of gut microbiota and metabolites in gastric cancer patients in plateau areas based on multi-omics technologies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  18. Effects ofCancer biology & medicine · 2022
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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

8 authors at 2 institutions in 1 country.

Giuseppe CoronaImmunopathology and Cancer Biomarkers Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. giuseppe.corona@cro.it.ORCID 0000-0003-3619-7709
Renato CannizzaroOncological Gastroenterology Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. rcannizzaro@cro.it.ORCID 0000-0002-2020-222X
Gianmaria MioloOncology B Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. gmiolo@cro.it.
Laura CaggiariImmunopathology and Cancer Biomarkers Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. lcaggiari@cro.it.
Mariangela De ZorziImmunopathology and Cancer Biomarkers Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. mdezorzi@cro.it.
Ombretta RepettoImmunopathology and Cancer Biomarkers Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. orepetto@cro.it.ORCID 0000-0002-0785-5066
Agostino SteffanImmunopathology and Cancer Biomarkers Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. asteffan@cro.it.
Valli De ReImmunopathology and Cancer Biomarkers Unit, IRCCS-National Cancer Institute, 33081 Aviano, Italy. vdere@cro.it.ORCID 0000-0001-6100-9373
Centro di Riferimento Oncologico · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A positive family history is a strong and consistently reported risk factor for gastric cancer (GC). So far, it has been demonstrated that serum pepsinogens (PGs), and gastrin 17 (G17) are useful for screening individuals at elevated risk to develop atrophic gastritis but they are suboptimal biomarkers to screen individuals for GC. The main purpose of this study was to investigate serum metabolomic profiles to find additional biomarkers that could be integrated with serum PGs and G17 to improve the diagnosis of GC and the selection of first-degree relatives (FDR) at higher risk of GC development. Serum metabolomic profiles included 188 serum metabolites, covering amino acids, biogenic amines, acylcarnitines, phosphatidylcholines, sphingomyelins and hexoses. Serum metabolomic profiles were performed with tandem mass spectrometry using the Biocrates Absolute

Indexed as

FamilyMetabolomeMetabolomicsAge FactorsBiomarkers, TumorCarnitineComputational BiologyEarly Detection of CancerFemaleHelicobacter InfectionsHumansMaleRisk AssessmentROC CurveSphingomyelinsStomach NeoplasmsacylcarnitineBiomarkers, TumorCarnitineSphingomyelinsbiomarkersearly diagnosisfirst degree relativesgastric cancermetabolomicspepsinogen

Identifiers

PMID29518896
PMCPMC5877611
OpenAlexW2790587543

What OpenQuestion holds

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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.