Evidence map›Paper›PMID 33322065›Full record

ArticleMetabolites2020

Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer.

Daniele Xavier Assad, Ana Carolina Acevedo, Elisa Cançado Porto Mascarenhas, Ana Gabriela Costa Normando, Valérie Pichon, Helene Chardin, Eliete Neves Silva Guerra, Audrey Combes

Abstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Impact of the PdInternational journal of molecular sciences · 2021
    Article
  20. Review
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

8 authors.

Daniele Xavier AssadLaboratory of Oral Histopathology, Health Sciences Faculty, University of Brasília Campus Universitário Darcy Ribeiro, Brasília DF 70910-900, Brazil.ORCID 0000-0001-9722-0904
Ana Carolina AcevedoLaboratory of Oral Histopathology, Health Sciences Faculty, University of Brasília Campus Universitário Darcy Ribeiro, Brasília DF 70910-900, Brazil.
Elisa Cançado Porto MascarenhasLaboratory of Oral Histopathology, Health Sciences Faculty, University of Brasília Campus Universitário Darcy Ribeiro, Brasília DF 70910-900, Brazil.
Ana Gabriela Costa NormandoLaboratory of Oral Histopathology, Health Sciences Faculty, University of Brasília Campus Universitário Darcy Ribeiro, Brasília DF 70910-900, Brazil.
Valérie PichonDepartment of Analytical, Bioanalytical Sciences and Miniaturization (LSABM), UMR CBI 8231, ESPCI Paris, CNRS, PSL University, 75005 Paris, Ide de France, France.
Helene ChardinDepartment of Analytical, Bioanalytical Sciences and Miniaturization (LSABM), UMR CBI 8231, ESPCI Paris, CNRS, PSL University, 75005 Paris, Ide de France, France.
Eliete Neves Silva GuerraLaboratory of Oral Histopathology, Health Sciences Faculty, University of Brasília Campus Universitário Darcy Ribeiro, Brasília DF 70910-900, Brazil.
Audrey CombesDepartment of Analytical, Bioanalytical Sciences and Miniaturization (LSABM), UMR CBI 8231, ESPCI Paris, CNRS, PSL University, 75005 Paris, Ide de France, France.ORCID 0000-0003-3318-7230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic alterations are a hallmark of the malignant transformation in cancer cells, which is characterized by multiple changes in metabolic pathways that are linked to macromolecule synthesis. This study aimed to explore whether salivary metabolites could help discriminate between breast cancer patients and healthy controls. Saliva samples from 23 breast cancer patients and 35 healthy controls were subjected to untargeted metabolomics using liquid chromatography-quadrupole time-of-flight mass spectrometry and a bioinformatics tool (XCMS Online), which revealed 534 compounds, characterized by their retention time in reverse-phase liquid chromatography and by the

Indexed as

biomarkersbreast cancermetabolitesMETLIN databaseRPLC/MS analysis

Identifiers

PMID33322065
PMCPMC7763953

What OpenQuestion holds

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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.