Evidence map›Paper›PMID 26883203›Full record

ArticleOncotarget2016

Serum metabolomic profiling facilitates the non-invasive identification of metabolic biomarkers associated with the onset and progression of non-small cell lung cancer.

Leonor Puchades-Carrasco, Eloisa Jantus-Lewintre, Clara Pérez-Rambla, Francisco García-García, Rut Lucas, Silvia Calabuig, Ana Blasco, Joaquín Dopazo, Carlos Camps, Antonio Pineda-Lucena

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
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

67 citing papers in PubMed.

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  3. In Vitro Cytotoxic Activity ofMolecules (Basel, Switzerland) · 2026
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7 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

10 authors.

Leonor Puchades-CarrascoStructural Biochemistry Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Eloisa Jantus-LewintreMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain.
Clara Pérez-RamblaStructural Biochemistry Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Francisco García-GarcíaComputational Genomics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Rut LucasMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain.
Silvia CalabuigMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain.
Ana BlascoDepartment of Medical Oncology, Consorcio Hospital General Universitario, Valencia, Spain.
Joaquín DopazoComputational Genomics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Carlos CampsMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain.
Antonio Pineda-LucenaStructural Biochemistry Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer (LC) is responsible for most cancer deaths. One of the main factors contributing to the lethality of this disease is the fact that a large proportion of patients are diagnosed at advanced stages when a clinical intervention is unlikely to succeed. In this study, we evaluated the potential of metabolomics by 1H-NMR to facilitate the identification of accurate and reliable biomarkers to support the early diagnosis and prognosis of non-small cell lung cancer (NSCLC).We found that the metabolic profile of NSCLC patients, compared with healthy individuals, is characterized by statistically significant changes in the concentration of 18 metabolites representing different amino acids, organic acids and alcohols, as well as different lipids and molecules involved in lipid metabolism. Furthermore, the analysis of the differences between the metabolic profiles of NSCLC patients at different stages of the disease revealed the existence of 17 metabolites involved in metabolic changes associated with disease progression.Our results underscore the potential of metabolomics profiling to uncover pathophysiological mechanisms that could be useful to objectively discriminate NSCLC patients from healthy individuals, as well as between different stages of the disease.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungDisease ProgressionFemaleHumansLung NeoplasmsMaleMetabolomicsMiddle AgedProton Magnetic Resonance SpectroscopyBiomarkers, Tumorbiomarkersearly diagnosismetabolomicsNSCLCprognosis

Identifiers

PMID26883203
PMCPMC4914330

What OpenQuestion holds

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LicenceCC BY
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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.