Evidence map›Paper›PMID 34072010›Full record

ArticleCancers2021

Comprehensive Plasma Metabolomic Profile of Patients with Advanced Neuroendocrine Tumors (NETs). Diagnostic and Biological Relevance.

Beatriz Soldevilla, Angeles López-López, Alberto Lens-Pardo, Carlos Carretero-Puche, Angeles Lopez-Gonzalvez, Anna La Salvia, Beatriz Gil-Calderon, Maria C Riesco-Martinez, Paula Espinosa-Olarte, Jacinto Sarmentero and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Metabolic changes in neuroendocrine neoplasms.Cellular and molecular life sciences : CMLS · 2025
    Review
  6. Review
  7. Article
  8. Article
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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

14 authors at 3 institutions in 1 country.

Beatriz SoldevillaClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Angeles López-LópezCentre for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain.ORCID 0000-0003-1006-4369
Alberto Lens-PardoClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Carlos Carretero-PucheClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.ORCID 0000-0003-0474-8668
Angeles Lopez-GonzalvezCentre for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain.ORCID 0000-0002-6363-7135
Anna La SalviaClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.ORCID 0000-0002-5020-8657
Beatriz Gil-CalderonClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Maria C Riesco-MartinezClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Paula Espinosa-OlarteClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Jacinto SarmenteroClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Beatriz Rubio-CuestaClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Raúl RincónClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Coral BarbasCentre for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain.ORCID 0000-0003-4722-491X
Rocio Garcia-CarboneroClinical and Translational Oncology Laboratory, Gastrointestinal Unit, i+12 Research Institute Hospital 12 de Octubre, 28041 Madrid, Spain.
Research Institute Hospital 12 de Octubre · ESUniversidad San Pablo CEU · ESUniversidad Complutense de Madrid · ES

Funding

AECC CLSEN19003RIESAECC POSTDO46SOLDAutonomous Community of Madrid NOVELREN-CM. Ref: B2017/BMD3751Autonomous Community of Madrid PEJD-2016-PRE/BMD-2666Autonomous Community of Madrid PEJD-2017-PRE/BMD-4981Autonomous Community of Madrid PEJD-2019-PRE/BMD-17058, Progama de Empleo Juvenil (YEI), co-funded by European Union (ERDF/ESF, "Investing in your future").CEU-International Doctoral School (CEINDO) UnknownInstituto de Salud Carlos III Rio HortegaMICINN and FEDER Funding RTI2018-095166-B-I00PFIZER/GETNE G1808
6 · The paper itself

Abstract

purposeHigh-throughput "-omic" technologies have enabled the detailed analysis of metabolic networks in several cancers, but NETs have not been explored to date. We aim to assess the metabolomic profile of NET patients to understand metabolic deregulation in these tumors and identify novel biomarkers with clinical potential.

methodsPlasma samples from 77 NETs and 68 controls were profiled by GC-MS, CE-MS and LC-MS untargeted metabolomics. OPLS-DA was performed to evaluate metabolomic differences. Related pathways were explored using Metaboanalyst 4.0. Finally, ROC and OPLS-DA analyses were performed to select metabolites with biomarker potential.

resultsWe identified 155 differential compounds between NETs and controls. We have detected an increase of bile acids, sugars, oxidized lipids and oxidized products from arachidonic acid and a decrease of carnitine levels in NETs. MPA/MSEA identified 32 enriched metabolic pathways in NETs related with the TCA cycle and amino acid metabolism. Finally, OPLS-DA and ROC analysis revealed 48 metabolites with diagnostic potential.

conclusionsThis study provides, for the first time, a comprehensive metabolic profile of NET patients and identifies a distinctive metabolic signature in plasma of potential clinical use. A reduced set of metabolites of high diagnostic accuracy has been identified. Additionally, new enriched metabolic pathways annotated may open innovative avenues of clinical research.

Indexed as

diagnostic biomarkersdisease modellingmachine learningmetabolic signalingmolecular pathwaysNETsplasma metabolites

Identifiers

PMID34072010
PMCPMC8197817
OpenAlexW3165715368

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.