Evidence map›Paper›PMID 35281730›Full record

ArticleiScience2022

Ants detect cancer cells through volatile organic compounds.

Baptiste Piqueret, Brigitte Bourachot, Chloé Leroy, Paul Devienne, Fatima Mechta-Grigoriou, Patrizia d'Ettorre, Jean-Christophe Sandoz

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  10. Biomedicines · 2022
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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

7 authors at 5 institutions in 1 country.

Baptiste PiqueretLaboratoire d'Ethologie Expérimentale et Comparée UR 4443 (LEEC), Université Sorbonne Paris Nord, 93430 Villetaneuse, France.
Brigitte BourachotStress and Cancer Laboratory, Institut Curie, PSL Research University, Equipe labelisée Ligue Nationale Contre le Cancer, 26, rue d'Ulm, 75248 Paris Cedex 05, France.
Chloé LeroyLaboratoire d'Ethologie Expérimentale et Comparée UR 4443 (LEEC), Université Sorbonne Paris Nord, 93430 Villetaneuse, France.
Paul DevienneLaboratoire d'Ethologie Expérimentale et Comparée UR 4443 (LEEC), Université Sorbonne Paris Nord, 93430 Villetaneuse, France.
Fatima Mechta-GrigoriouStress and Cancer Laboratory, Institut Curie, PSL Research University, Equipe labelisée Ligue Nationale Contre le Cancer, 26, rue d'Ulm, 75248 Paris Cedex 05, France.
Patrizia d'EttorreLaboratoire d'Ethologie Expérimentale et Comparée UR 4443 (LEEC), Université Sorbonne Paris Nord, 93430 Villetaneuse, France.
Jean-Christophe SandozEvolution, Genomes, Behaviour and Ecology, CNRS, IRD, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.
Université Paris Sciences et Lettres · FRUniversité Sorbonne Paris Nord · FRCentre National de la Recherche Scientifique · FRLaboratoire d’Ethologie Expérimentale et Comparée · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is among the world's leading causes of death. A critical challenge for public health is to develop a noninvasive, inexpensive, and efficient tool for early cancer detection. Cancer cells are characterized by an altered metabolism, producing unique patterns of volatile organic compounds (VOCs) that can be used as cancer biomarkers. Dogs can detect VOCs via olfactory associative learning, but training dogs is costly and time-consuming. Insects, such as ants, have a refined sense of smell and can be rapidly trained. We show that individual ants need only a few training trials to learn, memorize, and reliably detect the odor of human cancer cells. These performances rely on specific VOC patterns, as shown by gas chromatography/mass spectrometry. Our findings suggest that using ants as living tools to detect biomarkers of human cancer is feasible, fast, and less laborious than using other animals.

Indexed as

Biological sciencesCancerCell biology

Identifiers

PMID35281730
PMCPMC8914326
OpenAlexW4213264360

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.