Evidence map›Paper›PMID 35484295›Full record

ArticleScientific reports2022

Proof of concept for the use of trained sniffer dogs to detect osteosarcoma.

Agustín Ortal, Aida Rodríguez, María Pilar Solis-Hernández, Miguel de Prado, Verónica Rey, Juan Tornín, Óscar Estupiñán, Borja Gallego, Dzohara Murillo, Carmen Huergo and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

13 authors at 3 institutions in 1 country.

Agustín Ortal *Canvida Detection Organization, CP 33212, Gijon, Spain.
Aida Rodríguez *Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
María Pilar Solis-HernándezInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
Miguel de PradoCanvida Detection Organization, CP 33212, Gijon, Spain.
Verónica ReyInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
Juan TornínInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
Óscar EstupiñánInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
Borja GallegoInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
Dzohara MurilloInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
Carmen HuergoInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
Juan Luis García-LlanoDepartment of Medical Oncology, Hospital Universitario Central de Asturias, Oviedo, Spain.
Serafín CostillaInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain.
René RodríguezInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Av. de Roma s/n, 33011, Oviedo, Spain. rene.rodriguez@ispasturias.es.ORCID 0000-0002-0768-7306
Instituto de Investigación Sanitaria del Principado de Asturias · ESHospital Universitario Central de Asturias · ESCentro de Investigación Biomédica en Red de Cáncer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcomas are mesenchymal cancers which often show an aggressive behavior and patient survival largely depends on an early detection. In last years, much attention has been given to the fact that cancer patients release specific odorous volatile organic compounds (VOCs) that can be efficiently detected by properly trained sniffer dogs. Here, we have evaluated for the first time the ability of sniffer dogs (n = 2) to detect osteosarcoma cell cultures and patient samples. One of the two dogs was successfully trained to discriminate osteosarcoma patient-derived primary cells from mesenchymal stem/stromal cells (MSCs) obtained from healthy individuals. After the training phase, the dog was able to detect osteosarcoma specific odor cues in a different panel of 6 osteosarcoma cell lines with sensitivity and specificity rates between 95 and 100%. Moreover, the same VOCs were also detected by the sniffer dog in saliva samples from osteosarcoma patients (n = 2) and discriminated from samples from healthy individuals with a similar efficacy. Altogether, these results indicate that there are common odor profiles shared by cultures of osteosarcoma cells and body fluid samples from patients and provide a first proof of concept about the potential of canine odor detection as a non-invasive screening method to detect osteosarcomas.

Indexed as

Bone NeoplasmsOsteosarcomaSarcomaVolatile Organic CompoundsAnimalsDogsHumansOdorantsSmellWorking DogsVolatile Organic Compounds

Identifiers

PMID35484295
PMCPMC9051207
OpenAlexW4224988874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.