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Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer

Prostate cancer is the second leading cause of cancer death in men in the developed world. A more sensitive and specific detection strategy for lethal prostate cancer beyond serum prostate specific antigen (PSA) population screening is urgently needed. Diagnosis by canine olfaction, using dogs train...

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Autores principales: Guest, Claire, Harris, Rob, Sfanos, Karen S., Shrestha, Eva, Partin, Alan W., Trock, Bruce, Mangold, Leslie, Bader, Rebecca, Kozak, Adam, Mclean, Scott, Simons, Jonathan, Soule, Howard, Johnson, Thomas, Lee, Wen-Yee, Gao, Qin, Aziz, Sophie, Stathatou, Patritsia Maria, Thaler, Stephen, Foster, Simmie, Mershin, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888653/
https://www.ncbi.nlm.nih.gov/pubmed/33596212
http://dx.doi.org/10.1371/journal.pone.0245530
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author Guest, Claire
Harris, Rob
Sfanos, Karen S.
Shrestha, Eva
Partin, Alan W.
Trock, Bruce
Mangold, Leslie
Bader, Rebecca
Kozak, Adam
Mclean, Scott
Simons, Jonathan
Soule, Howard
Johnson, Thomas
Lee, Wen-Yee
Gao, Qin
Aziz, Sophie
Stathatou, Patritsia Maria
Thaler, Stephen
Foster, Simmie
Mershin, Andreas
author_facet Guest, Claire
Harris, Rob
Sfanos, Karen S.
Shrestha, Eva
Partin, Alan W.
Trock, Bruce
Mangold, Leslie
Bader, Rebecca
Kozak, Adam
Mclean, Scott
Simons, Jonathan
Soule, Howard
Johnson, Thomas
Lee, Wen-Yee
Gao, Qin
Aziz, Sophie
Stathatou, Patritsia Maria
Thaler, Stephen
Foster, Simmie
Mershin, Andreas
author_sort Guest, Claire
collection PubMed
description Prostate cancer is the second leading cause of cancer death in men in the developed world. A more sensitive and specific detection strategy for lethal prostate cancer beyond serum prostate specific antigen (PSA) population screening is urgently needed. Diagnosis by canine olfaction, using dogs trained to detect cancer by smell, has been shown to be both specific and sensitive. While dogs themselves are impractical as scalable diagnostic sensors, machine olfaction for cancer detection is testable. However, studies bridging the divide between clinical diagnostic techniques, artificial intelligence, and molecular analysis remains difficult due to the significant divide between these disciplines. We tested the clinical feasibility of a cross-disciplinary, integrative approach to early prostate cancer biosensing in urine using trained canine olfaction, volatile organic compound (VOC) analysis by gas chromatography-mass spectroscopy (GC-MS) artificial neural network (ANN)-assisted examination, and microbial profiling in a double-blinded pilot study. Two dogs were trained to detect Gleason 9 prostate cancer in urine collected from biopsy-confirmed patients. Biopsy-negative controls were used to assess canine specificity as prostate cancer biodetectors. Urine samples were simultaneously analyzed for their VOC content in headspace via GC-MS and urinary microbiota content via 16S rDNA Illumina sequencing. In addition, the dogs’ diagnoses were used to train an ANN to detect significant peaks in the GC-MS data. The canine olfaction system was 71% sensitive and between 70–76% specific at detecting Gleason 9 prostate cancer. We have also confirmed VOC differences by GC-MS and microbiota differences by 16S rDNA sequencing between cancer positive and biopsy-negative controls. Furthermore, the trained ANN identified regions of interest in the GC-MS data, informed by the canine diagnoses. Methodology and feasibility are established to inform larger-scale studies using canine olfaction, urinary VOCs, and urinary microbiota profiling to develop machine olfaction diagnostic tools. Scalable multi-disciplinary tools may then be compared to PSA screening for earlier, non-invasive, more specific and sensitive detection of clinically aggressive prostate cancers in urine samples.
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spelling pubmed-78886532021-02-25 Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer Guest, Claire Harris, Rob Sfanos, Karen S. Shrestha, Eva Partin, Alan W. Trock, Bruce Mangold, Leslie Bader, Rebecca Kozak, Adam Mclean, Scott Simons, Jonathan Soule, Howard Johnson, Thomas Lee, Wen-Yee Gao, Qin Aziz, Sophie Stathatou, Patritsia Maria Thaler, Stephen Foster, Simmie Mershin, Andreas PLoS One Research Article Prostate cancer is the second leading cause of cancer death in men in the developed world. A more sensitive and specific detection strategy for lethal prostate cancer beyond serum prostate specific antigen (PSA) population screening is urgently needed. Diagnosis by canine olfaction, using dogs trained to detect cancer by smell, has been shown to be both specific and sensitive. While dogs themselves are impractical as scalable diagnostic sensors, machine olfaction for cancer detection is testable. However, studies bridging the divide between clinical diagnostic techniques, artificial intelligence, and molecular analysis remains difficult due to the significant divide between these disciplines. We tested the clinical feasibility of a cross-disciplinary, integrative approach to early prostate cancer biosensing in urine using trained canine olfaction, volatile organic compound (VOC) analysis by gas chromatography-mass spectroscopy (GC-MS) artificial neural network (ANN)-assisted examination, and microbial profiling in a double-blinded pilot study. Two dogs were trained to detect Gleason 9 prostate cancer in urine collected from biopsy-confirmed patients. Biopsy-negative controls were used to assess canine specificity as prostate cancer biodetectors. Urine samples were simultaneously analyzed for their VOC content in headspace via GC-MS and urinary microbiota content via 16S rDNA Illumina sequencing. In addition, the dogs’ diagnoses were used to train an ANN to detect significant peaks in the GC-MS data. The canine olfaction system was 71% sensitive and between 70–76% specific at detecting Gleason 9 prostate cancer. We have also confirmed VOC differences by GC-MS and microbiota differences by 16S rDNA sequencing between cancer positive and biopsy-negative controls. Furthermore, the trained ANN identified regions of interest in the GC-MS data, informed by the canine diagnoses. Methodology and feasibility are established to inform larger-scale studies using canine olfaction, urinary VOCs, and urinary microbiota profiling to develop machine olfaction diagnostic tools. Scalable multi-disciplinary tools may then be compared to PSA screening for earlier, non-invasive, more specific and sensitive detection of clinically aggressive prostate cancers in urine samples. Public Library of Science 2021-02-17 /pmc/articles/PMC7888653/ /pubmed/33596212 http://dx.doi.org/10.1371/journal.pone.0245530 Text en © 2021 Guest et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guest, Claire
Harris, Rob
Sfanos, Karen S.
Shrestha, Eva
Partin, Alan W.
Trock, Bruce
Mangold, Leslie
Bader, Rebecca
Kozak, Adam
Mclean, Scott
Simons, Jonathan
Soule, Howard
Johnson, Thomas
Lee, Wen-Yee
Gao, Qin
Aziz, Sophie
Stathatou, Patritsia Maria
Thaler, Stephen
Foster, Simmie
Mershin, Andreas
Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer
title Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer
title_full Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer
title_fullStr Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer
title_full_unstemmed Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer
title_short Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer
title_sort feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888653/
https://www.ncbi.nlm.nih.gov/pubmed/33596212
http://dx.doi.org/10.1371/journal.pone.0245530
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