Evidence map›Paper›PMID 31409861›Full record

ArticleScientific reports2019

Cerumenogram: a new frontier in cancer diagnosis in humans.

João Marcos Gonçalves Barbosa, Naiara Zedes Pereira, Lurian Caetano David, Camilla Gabriela de Oliveira, Marina Ferraz Gontijo Soares, Melissa Ameloti Gomes Avelino, Anselmo Elcana de Oliveira, Engy Shokry, Nelson Roberto Antoniosi Filho

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. A cerumenolomic approach to bovine trypanosomosis diagnosis.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  8. Review
  9. Article
  10. Review
  11. 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

9 authors.

João Marcos Gonçalves BarbosaLaboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil. joaomarcosquim.ufg@outlook.com.ORCID http://orcid.org/0000-0003-3560-5838
Naiara Zedes PereiraLaboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
Lurian Caetano DavidLaboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.ORCID http://orcid.org/0000-0002-0457-2749
Camilla Gabriela de OliveiraClinical Hospital, Federal University of Goiás (UFG), Campus I - Colemar Natal e Silva, 74605-020, Goiânia, GO, Brazil.ORCID http://orcid.org/0000-0003-1594-2255
Marina Ferraz Gontijo SoaresClinical Hospital, Federal University of Goiás (UFG), Campus I - Colemar Natal e Silva, 74605-020, Goiânia, GO, Brazil.
Melissa Ameloti Gomes AvelinoClinical Hospital, Federal University of Goiás (UFG), Campus I - Colemar Natal e Silva, 74605-020, Goiânia, GO, Brazil.
Anselmo Elcana de OliveiraLaboratory of Theoretical and Computational Chemistry (LQTC), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-970, Goiânia, GO, Brazil.
Engy ShokryLaboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.ORCID http://orcid.org/0000-0002-5932-9332
Nelson Roberto Antoniosi FilhoLaboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil. nelsonroberto@ufg.br.ORCID http://orcid.org/0000-0002-3067-0385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is the deadliest human disease and the development of new diagnosis methods is important to increase the chances of a cure. In this work it was developed a new method, named here for the first time as cerumenogram, using cerumen (earwax) as a new biomatrix for diagnosis. Earwax samples collected from cancer patients (cancer group) and cancer-free patients (control group) were analyzed by Headspace/Gas Chromatography-Mass Spectrometry (HS/GC-MS), following with multivariate analysis steps to process the raw data generated. In total, 158 volatile organic metabolites (VOMs) were identified in the cerumen samples. The 27 selected as potential VOMs biomarkers for cancer provided 100% discrimination between the cancer and control groups. This new test can thus be routinely employed for cancer diagnoses that is non-invasive, fast, cheap, and highly accurate.

Indexed as

BiomarkersCase-Control StudiesCerumenGas Chromatography-Mass SpectrometryHumansMagnetic Resonance ImagingMetabolomicsNeoplasmsTomography, X-Ray ComputedVolatile Organic CompoundsBiomarkersVolatile Organic Compounds

Identifiers

PMID31409861
PMCPMC6692389

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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.