Evidence map›Paper›PMID 29259228›Full record

ArticleScientific reports2017

Metabolomics reveals novel blood plasma biomarkers associated to the BRCA1-mutated phenotype of human breast cancer.

Bàrbara Roig, Marta Rodríguez-Balada, Sara Samino, Eric W-F Lam, Sandra Guaita-Esteruelas, Ana R Gomes, Xavier Correig, Joan Borràs, Oscar Yanes, Josep Gumà

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Article
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  6. Review
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  8. Observational
  9. Article
  10. Impact of the PdInternational journal of molecular sciences · 2021
    Article
  11. Review
  12. Article
  13. Plasma Metabolome Signature Indicative ofFrontiers in oncology · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. 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.

Bàrbara RoigInstitut d'Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, Av. del Dr. Josep Laporte, 43204, Reus, Spain.
Marta Rodríguez-BaladaInstitut d'Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, Av. del Dr. Josep Laporte, 43204, Reus, Spain.ORCID 0000-0002-2691-8819
Sara SaminoMetabolomics Platform, Department of Electronic Engineering (DEEEA), Universitat Rovira i Virgili, 43003, Tarragona, Catalonia, Spain.
Eric W-F LamDepartment of Surgery and Cancer, Imperial Centre for Translational and Experimental Medicine (ICTEM), Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK.ORCID 0000-0003-1274-3576
Sandra Guaita-EsteruelasInstitut d'Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, Av. del Dr. Josep Laporte, 43204, Reus, Spain.
Ana R GomesDepartment of Surgery and Cancer, Imperial Centre for Translational and Experimental Medicine (ICTEM), Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK.
Xavier CorreigMetabolomics Platform, Department of Electronic Engineering (DEEEA), Universitat Rovira i Virgili, 43003, Tarragona, Catalonia, Spain.
Joan BorràsInstitut d'Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, Av. del Dr. Josep Laporte, 43204, Reus, Spain.
Oscar YanesMetabolomics Platform, Department of Electronic Engineering (DEEEA), Universitat Rovira i Virgili, 43003, Tarragona, Catalonia, Spain.ORCID 0000-0003-3695-7157
Josep GumàInstitut d'Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, Av. del Dr. Josep Laporte, 43204, Reus, Spain. jguma@grupsagessa.com.ORCID 0000-0001-7541-9832

Funding

Cancer Research UK 12011
6 · The paper itself

Abstract

Hereditary breast and ovarian cancer syndrome (HBOC) is partly due to the presence of mutations in the BRCA genes. Triple-negative (TN) breast cancer (BC) shares histological characteristics with germline BRCA1 mutation-associated tumours. We have investigated the metabolic profiles of human breast cancer (BC) cell lines carrying BRCA1 pathogenic mutations by non-targeted liquid chromatography coupled to mass spectrometry technology. Based on our in vitro results, we performed a targeted metabolomic analysis of plasma samples from TN HBOC patients taking into account their BRCA1 genotype. BRCA1 promoter hypermethylation and the BRCAness phenotype of BC cell lines were also studied. The purpose of this study was to determine the metabolic signature of HBOC syndrome and TNBC patients and to evaluate the potential contribution of the metabolites identified to the genetic diagnosis of breast cancer. The present results show the existence of a differential metabolic signature for BC cells based on the BRCA1 functionality. None of the studied BC cell lines presented hypermethylation of the BRCA1 promoter region. We provide evidence of the existence of free methylated nucleotides capable of distinguishing plasma samples from HBOC patients as BRCA1-mutated and BRCA1 non-mutated, suggesting that they might be considered as BRCA1-like biomarkers for TNBC and HBOC syndrome.

Indexed as

Biomarkers, TumorBRCA1 ProteinCell Line, TumorDNA MethylationFemaleGerm-Line MutationHereditary Breast and Ovarian Cancer SyndromeHumansMCF-7 CellsMetabolomeMetabolomicsMiddle AgedPhenotypePromoter Regions, GeneticTriple Negative Breast NeoplasmsBiomarkers, TumorBRCA1 ProteinBRCA1 protein, human

Identifiers

PMID29259228
PMCPMC5736621

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.