Evidence map›Paper›PMID 33466323›Full record

ArticleCancers2021

Human Plasma Metabolomics for Biomarker Discovery: Targeting the Molecular Subtypes in Breast Cancer.

Leticia Díaz-Beltrán, Carmen González-Olmedo, Natalia Luque-Caro, Caridad Díaz, Ariadna Martín-Blázquez, Mónica Fernández-Navarro, Ana Laura Ortega-Granados, Fernando Gálvez-Montosa, Francisca Vicente, José Pérez Del Palacio and 1 more

Abstract 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 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. NMR in biomedicine · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Plasma metabolomics profiles and breast cancer risk.Breast cancer research : BCR · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Bilayer Forming Phospholipids as Targets for Cancer Therapy.International journal of molecular sciences · 2022
    Review
  18. Article
  19. Article
  20. Impact of the PdInternational journal of molecular sciences · 2021
    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

11 authors.

Leticia Díaz-BeltránMedical Oncology Unit, University Hospital of Jaén, 23007 Jaén, Andalucía, Spain.ORCID 0000-0002-6726-9456
Carmen González-OlmedoMedical Oncology Unit, University Hospital of Jaén, 23007 Jaén, Andalucía, Spain.ORCID 0000-0001-8227-8900
Natalia Luque-CaroMedical Oncology Unit, University Hospital of Jaén, 23007 Jaén, Andalucía, Spain.
Caridad DíazFundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Andalucía, Spain.ORCID 0000-0003-1240-0143
Ariadna Martín-BlázquezFundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Andalucía, Spain.ORCID 0000-0002-4205-3499
Mónica Fernández-NavarroMedical Oncology Unit, University Hospital of Jaén, 23007 Jaén, Andalucía, Spain.
Ana Laura Ortega-GranadosMedical Oncology Unit, University Hospital of Jaén, 23007 Jaén, Andalucía, Spain.
Fernando Gálvez-MontosaMedical Oncology Unit, University Hospital of Jaén, 23007 Jaén, Andalucía, Spain.
Francisca VicenteFundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Andalucía, Spain.ORCID 0000-0003-3198-9205
José Pérez Del PalacioFundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Andalucía, Spain.ORCID 0000-0001-8918-6873
Pedro Sánchez-RoviraMedical Oncology Unit, University Hospital of Jaén, 23007 Jaén, Andalucía, Spain.

Funding

Consejería de Salud y Familias, Junta de Andalucía PI-0455-2016
6 · The paper itself

Abstract

purposeThe aim of this study is to identify differential metabolomic signatures in plasma samples of distinct subtypes of breast cancer patients that could be used in clinical practice as diagnostic biomarkers for these molecular phenotypes and to provide a more individualized and accurate therapeutic procedure.

methodsUntargeted LC-HRMS metabolomics approach in positive and negative electrospray ionization mode was used to analyze plasma samples from LA, LB, HER2+ and TN breast cancer patients and healthy controls in order to determine specific metabolomic profiles through univariate and multivariate statistical data analysis.

resultsWe tentatively identified altered metabolites displaying concentration variations among the four breast cancer molecular subtypes. We found a biomarker panel of 5 candidates in LA, 7 in LB, 5 in HER2 and 3 in TN that were able to discriminate each breast cancer subtype with a false discovery range corrected

conclusionOur study identifies metabolic profiling differences in molecular phenotypes of breast cancer. This may represent a key step towards therapy improvement in personalized medicine and prioritization of tailored therapeutic intervention strategies.

Indexed as

breast cancerhuman plasma metabolomicsmetabolic profilingmolecular subtypespersonalized medicine

Identifiers

PMID33466323
PMCPMC7795819

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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.