Evidence map›Paper›PMID 30099851›Full record

ArticleMolecular oncology2018

Metabolomic profiling of human lung tumor tissues - nucleotide metabolism as a candidate for therapeutic interventions and biomarkers.

Paula Moreno, Carla Jiménez-Jiménez, Martín Garrido-Rodríguez, Mónica Calderón-Santiago, Susana Molina, Maribel Lara-Chica, Feliciano Priego-Capote, Ángel Salvatierra, Eduardo Muñoz, Marco A Calzado

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

43 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. Observational
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  4. Review
  5. In Vitro Cytotoxic Activity ofMolecules (Basel, Switzerland) · 2026
    Article
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  8. Article
  9. Review
  10. [Applications and Advances of Metabolomics in Lung Cancer Research].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
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  13. Review
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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

10 authors at 2 institutions in 1 country.

Paula MorenoInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Carla Jiménez-JiménezInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Martín Garrido-RodríguezInnohealth Group, Madrid, Spain.
Mónica Calderón-SantiagoInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Susana MolinaInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Maribel Lara-ChicaInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Feliciano Priego-CapoteInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Ángel SalvatierraInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Eduardo MuñozInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.
Marco A CalzadoInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Cordoba, Spain.ORCID 0000-0002-5338-535X
Instituto Maimónides de Investigación Biomédica de Córdoba · ESFundación de Estudios de Economía Aplicada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although metabolomics has attracted considerable attention in the field of lung cancer (LC) detection and management, only a very limited number of works have applied it to tissues. As such, the aim of this study was the thorough analysis of metabolic profiles of relevant LC tissues, including the most important histological subtypes (adenocarcinoma and squamous cell lung carcinoma). Mass spectrometry-based metabolomics, along with genetic expression and histological analyses, were performed as part of this study, the widest to date, to identify metabolic alterations in tumors of the most relevant histological subtypes in lung. A total of 136 lung tissue samples were analyzed and 851 metabolites were identified through metabolomic analysis. Our data show the existence of a clear metabolic alteration not only between tumor vs. nonmalignant tissue in each patient, but also inherently intrinsic changes in both AC and SCC. Significant changes were observed in the most relevant biochemical pathways, and nucleotide metabolism showed an important number of metabolites with high predictive capability values. The present study provides a detailed analysis of the metabolomic changes taking place in relevant biochemical pathways of the most important histological subtypes of LC, which can be used as biomarkers and also to identify novel targets.

Indexed as

AgedBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticGlucoseGlutathioneHumansHydroxymethyl and Formyl TransferasesLung NeoplasmsMaleMetabolomeMetabolomicsMiddle AgedMultienzyme ComplexesNucleotide DeaminasesNucleotidesBiomarkers, TumorGlucoseGlutathioneHydroxymethyl and Formyl Transferasesinosine monophosphate synthaseMultienzyme ComplexesNucleotide DeaminasesNucleotidesPolyaminesPurinesbiomarkerslung cancermetabolomicsnucleotides

Identifiers

PMID30099851
PMCPMC6165994
OpenAlexW2887589291

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.