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Sniffer dogs can identify lung cancer patients from breath and urine samples

BACKGROUND: Lung cancer is the most common oncological cause of death in the Western world. Early diagnosis is critical for successful treatment. However, no effective screening methods exist. A promising approach could be the use of volatile organic compounds as diagnostic biomarkers. To date there...

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Autores principales: Feil, Charlotte, Staib, Frank, Berger, Martin R., Stein, Thorsten, Schmidtmann, Irene, Forster, Andreas, Schimanski, Carl C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362224/
https://www.ncbi.nlm.nih.gov/pubmed/34388977
http://dx.doi.org/10.1186/s12885-021-08651-5
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author Feil, Charlotte
Staib, Frank
Berger, Martin R.
Stein, Thorsten
Schmidtmann, Irene
Forster, Andreas
Schimanski, Carl C.
author_facet Feil, Charlotte
Staib, Frank
Berger, Martin R.
Stein, Thorsten
Schmidtmann, Irene
Forster, Andreas
Schimanski, Carl C.
author_sort Feil, Charlotte
collection PubMed
description BACKGROUND: Lung cancer is the most common oncological cause of death in the Western world. Early diagnosis is critical for successful treatment. However, no effective screening methods exist. A promising approach could be the use of volatile organic compounds as diagnostic biomarkers. To date there are several studies, in which dogs were trained to discriminate cancer samples from controls. In this study we evaluated the abilities of specifically trained dogs to distinguish samples derived from lung cancer patients of various tumor stages from matched healthy controls. METHODS: This single center, double-blind clinical trial was approved by the local ethics committee, project no FF20/2016. The dog was conditioned with urine and breath samples of 36 cancer patients and 150 controls; afterwards, further 246 patients were included: 41 lung cancer patients comprising all stages and 205 healthy controls. From each patient two breath and urine samples were collected and shock frozen. Only samples from new subjects were presented to the dog during study phase randomized, double-blinded. This resulted in a specific conditioned reaction pointing to the cancer sample. RESULTS: Using a combination of urine and breath samples, the dog correctly predicted 40 out of 41 cancer samples, corresponding to an overall detection rate of cancer samples of 97.6% (95% CI [87.1, 99.9%]). Using urine samples only the dog achieved a detection rate of 87.8% (95% CI [73.8, 95.9%]). With breath samples, the dog correctly identified cancer in 32 of 41 samples, resulting in a detection rate of 78% (95% CI [62.4, 89.4%]). CONCLUSIONS: It is known from current literature that breath and urine samples carry VOCs pointing to cancer growth. We conclude that olfactory detection of lung cancer by specifically trained dogs is highly suggestive to be a simple and non-invasive tool to detect lung cancer. To translate this approach into practice further target compounds need to be identified.
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spelling pubmed-83622242021-08-17 Sniffer dogs can identify lung cancer patients from breath and urine samples Feil, Charlotte Staib, Frank Berger, Martin R. Stein, Thorsten Schmidtmann, Irene Forster, Andreas Schimanski, Carl C. BMC Cancer Research BACKGROUND: Lung cancer is the most common oncological cause of death in the Western world. Early diagnosis is critical for successful treatment. However, no effective screening methods exist. A promising approach could be the use of volatile organic compounds as diagnostic biomarkers. To date there are several studies, in which dogs were trained to discriminate cancer samples from controls. In this study we evaluated the abilities of specifically trained dogs to distinguish samples derived from lung cancer patients of various tumor stages from matched healthy controls. METHODS: This single center, double-blind clinical trial was approved by the local ethics committee, project no FF20/2016. The dog was conditioned with urine and breath samples of 36 cancer patients and 150 controls; afterwards, further 246 patients were included: 41 lung cancer patients comprising all stages and 205 healthy controls. From each patient two breath and urine samples were collected and shock frozen. Only samples from new subjects were presented to the dog during study phase randomized, double-blinded. This resulted in a specific conditioned reaction pointing to the cancer sample. RESULTS: Using a combination of urine and breath samples, the dog correctly predicted 40 out of 41 cancer samples, corresponding to an overall detection rate of cancer samples of 97.6% (95% CI [87.1, 99.9%]). Using urine samples only the dog achieved a detection rate of 87.8% (95% CI [73.8, 95.9%]). With breath samples, the dog correctly identified cancer in 32 of 41 samples, resulting in a detection rate of 78% (95% CI [62.4, 89.4%]). CONCLUSIONS: It is known from current literature that breath and urine samples carry VOCs pointing to cancer growth. We conclude that olfactory detection of lung cancer by specifically trained dogs is highly suggestive to be a simple and non-invasive tool to detect lung cancer. To translate this approach into practice further target compounds need to be identified. BioMed Central 2021-08-13 /pmc/articles/PMC8362224/ /pubmed/34388977 http://dx.doi.org/10.1186/s12885-021-08651-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Feil, Charlotte
Staib, Frank
Berger, Martin R.
Stein, Thorsten
Schmidtmann, Irene
Forster, Andreas
Schimanski, Carl C.
Sniffer dogs can identify lung cancer patients from breath and urine samples
title Sniffer dogs can identify lung cancer patients from breath and urine samples
title_full Sniffer dogs can identify lung cancer patients from breath and urine samples
title_fullStr Sniffer dogs can identify lung cancer patients from breath and urine samples
title_full_unstemmed Sniffer dogs can identify lung cancer patients from breath and urine samples
title_short Sniffer dogs can identify lung cancer patients from breath and urine samples
title_sort sniffer dogs can identify lung cancer patients from breath and urine samples
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362224/
https://www.ncbi.nlm.nih.gov/pubmed/34388977
http://dx.doi.org/10.1186/s12885-021-08651-5
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