Evidence map›Paper›PMID 28298227›Full record

ArticleBMC medicine2017

Metabolomics approaches in pancreatic adenocarcinoma: tumor metabolism profiling predicts clinical outcome of patients.

S Battini, F Faitot, A Imperiale, A E Cicek, C Heimburger, G Averous, P Bachellier, I J Namer

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 58 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Gut-to-tumor translocation of multidrug-resistantFrontiers in cellular and infection microbiology · 2025
    Article
  5. Review
  6. Review
  7. Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Current State of "Omics" Biomarkers in Pancreatic Cancer.Journal of personalized medicine · 2021
    Review
  13. Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS.Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
  14. Review
  15. Article
  16. Metabolomic profiling of gastric cancer tissues identified potential biomarkers for predicting peritoneal recurrence.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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 4 institutions in 3 countries.

S BattiniICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France.
F FaitotICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France.
A ImperialeICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France.
A E CicekComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.
C HeimburgerICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France.
G AverousDepartment of Pathology, Hautepierre Hospital, University Hospitals of Strasbourg, Strasbourg, France.
P BachellierDepartment of Visceral Surgery and Transplantation, Hautepierre Hospital, University Hospitals of Strasbourg, Strasbourg, France.
I J NamerICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France. Izzie.Jacques.NAMER@chru-strasbourg.fr.
Hôpital d'Hautepierre · FRUniversité de Strasbourg · FRBilkent University · TRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic adenocarcinomas (PAs) have very poor prognoses even when surgery is possible. Currently, there are no tissular biomarkers to predict long-term survival in patients with PA. The aims of this study were to (1) describe the metabolome of pancreatic parenchyma (PP) and PA, (2) determine the impact of neoadjuvant chemotherapy on PP and PA, and (3) find tissue metabolic biomarkers associated with long-term survivors, using metabolomics analysis.

methods

resultsAn orthogonal partial least square-discriminant analysis (OPLS-DA) showed a clear distinction between PP and PA. Higher concentrations of myo-inositol and glycerol were shown in PP, whereas higher levels of glucose, ascorbate, ethanolamine, lactate, and taurine were revealed in PA. Among those metabolites, one of them was particularly obvious in the distinction between long-term and short-term survivors. A high ethanolamine level was associated with worse survival. The impact of neoadjuvant chemotherapy was higher on PA than on PP.

conclusionsThis study shows that HRMAS NMR spectroscopy using intact tissue provides important and solid information in the characterization of PA. Metabolomics profiling can also predict long-term survival: the assessment of ethanolamine concentration can be clinically relevant as a single metabolic biomarker. This information can be obtained in 20 min, during surgery, to distinguish long-term from short-term survival.

Indexed as

PancreasAdenocarcinomaAgedBiomarkersChemotherapy, AdjuvantDiscriminant AnalysisEthanolamineFemaleHumansMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedPancreatic NeoplasmsPrognosisSurvivorsBiomarkersEthanolamineBiomarkerHRMASLong-term survivalMetabolomicsNMRPancreatic adenocarcinoma

Identifiers

PMID28298227
PMCPMC5353864
OpenAlexW2593338845

What OpenQuestion holds

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LicenceCC BY
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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.