Evidence map›Paper›PMID 37344702›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Metabolomics unravels subtype-specific characteristics related to neoadjuvant therapy response in breast cancer patients.

Andrea Zapater-Moros, Leticia Díaz-Beltrán, Angelo Gámez-Pozo, Lucía Trilla-Fuertes, María Isabel Lumbreras-Herrera, Elena López-Camacho, Carmen González-Olmedo, Enrique Espinosa, Pilar Zamora, Pedro Sánchez-Rovira and 1 more

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.Journal of experimental & clinical cancer research : CR · 2025
    Review
  4. Article
  5. Article
  6. 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

11 authors at 4 institutions in 2 countries.

Andrea Zapater-MorosMolecular Oncology & Pathology Lab, Institute of Medical and Molecular Genetics-INGEMM, La Paz University Hospital-IdiPAZ, Paseo de la Castellana 261, 28046, Madrid, Spain.
Leticia Díaz-BeltránSystems Biology Unit, Department of Experimental Biology, University of Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain.
Angelo Gámez-PozoMolecular Oncology & Pathology Lab, Institute of Medical and Molecular Genetics-INGEMM, La Paz University Hospital-IdiPAZ, Paseo de la Castellana 261, 28046, Madrid, Spain.
Lucía Trilla-FuertesMolecular Oncology & Pathology Lab, Institute of Medical and Molecular Genetics-INGEMM, La Paz University Hospital-IdiPAZ, Paseo de la Castellana 261, 28046, Madrid, Spain.
María Isabel Lumbreras-HerreraMolecular Oncology & Pathology Lab, Institute of Medical and Molecular Genetics-INGEMM, La Paz University Hospital-IdiPAZ, Paseo de la Castellana 261, 28046, Madrid, Spain.
Elena López-CamachoBiomedica Molecular Medicine SL, C/Faraday 7, 28049, Madrid, Spain.
Carmen González-OlmedoMedical Oncology Department, Hospital Universitario de Jaén, Av. del Ejército Español, 10, 23007, Jaén, Spain.
Enrique EspinosaMedical Oncology Service, La Paz University Hospital-IdiPAZ, Paseo de la Castellana 261, 28046, Madrid, Spain.
Pilar ZamoraMedical Oncology Service, La Paz University Hospital-IdiPAZ, Paseo de la Castellana 261, 28046, Madrid, Spain.
Pedro Sánchez-RoviraMedical Oncology Department, Hospital Universitario de Jaén, Av. del Ejército Español, 10, 23007, Jaén, Spain.
Juan Ángel Fresno VaraMolecular Oncology & Pathology Lab, Institute of Medical and Molecular Genetics-INGEMM, La Paz University Hospital-IdiPAZ, Paseo de la Castellana 261, 28046, Madrid, Spain. juanangel.fresno@salud.madrid.org.
Hospital Universitario La Paz · ESMedical Research Network · USComplejo Hospitalario de Jaén · ESUniversidad de Jaén · ES

Funding

Translational MR Imaging in Cocaine Pharmacotherapy DevelopmentP50DA009262 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MOELLER, FREDERICK GERARD · 1994 to 2014
$26.9M
6 · The paper itself

Abstract

introductionBreast cancer is the most diagnosed tumor and the leading cause of cancer death in women worldwide. Metabolomics allows the quantification of the entire set of metabolites in blood samples, making it possible to study differential metabolomics patterns related to neoadjuvant treatment in the breast cancer neoadjuvant setting.

objectivesCharacterizing metabolic differences in breast cancer blood samples according to their response to neoadjuvant treatment.

methodsOne hundred and three plasma samples of breast cancer patients, before receiving neoadjuvant treatment, were analyzed through UPLC-MS/MS metabolomics. Then, metabolomics data were analyzed using probabilistic graphical models and biostatistics methods.

resultsMetabolomics data allowed the identification of differences between groups according to response to neoadjuvant treatment. These differences were specific to each breast cancer subtype. Patients with HER2+ tumors showed differences in metabolites related to amino acids and carbohydrates pathways between the two pathological response groups. However, patients with triple-negative tumors showed differences in metabolites related to the long-chain fatty acids pathway. Patients with Luminal B tumors showed differences in metabolites related to acylcarnitine pathways.

conclusionsIt is possible to identify differential metabolomics patterns between complete and partial responses to neoadjuvant therapy, being this metabolomic profile specific for each breast cancer subtype.

Indexed as

Breast NeoplasmsChromatography, LiquidFemaleHumansMetabolomicsNeoadjuvant TherapyTandem Mass SpectrometryBreast cancerMetabolomicsResponse to neoadjuvant therapy

Identifiers

PMID37344702
OpenAlexW4381480754

What OpenQuestion holds

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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.