<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Sensory Systems</journal-id><journal-title-group><journal-title xml:lang="en">Sensory Systems</journal-title><trans-title-group xml:lang="ru"><trans-title>Сенсорные системы</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0235-0092</issn><issn publication-format="electronic">3034-5936</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">696750</article-id><article-id pub-id-type="doi">10.7868/S3034593625030021</article-id><article-categories><subj-group subj-group-type="toc-heading"><subject>ОБЗОРЫ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Disease detection by volatile organic compound analysis: I. Detection dogs</article-title><trans-title-group xml:lang="ru"><trans-title>Обнаружение заболеваний по анализу летучих органических соединений: I. Собаки-детекторы</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Rodionova</surname><given-names>E. I.</given-names></name><name xml:lang="ru"><surname>Родионова</surname><given-names>Е. И.</given-names></name></name-alternatives><email>a.rodionova@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Kiryukhina</surname><given-names>O. O.</given-names></name><name xml:lang="ru"><surname>Кирюхина</surname><given-names>О. О.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Pento</surname><given-names>A. V.</given-names></name><name xml:lang="ru"><surname>Пенто</surname><given-names>А. В.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Nikiforov</surname><given-names>S. M.</given-names></name><name xml:lang="ru"><surname>Никифоров</surname><given-names>С. М.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Kharkevich Institute for information transmission problems, Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Федеральное государственное бюджетное учреждение науки Институт проблем передачи информации им. А.А. Харкевича РАН</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Prokhorov General Physics Institute of the Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Институт общей физики им. А.М. Прохорова РАН</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2025</year></pub-date><volume>39</volume><issue>3</issue><issue-title xml:lang="en">VOL 39, NO3 (2025)</issue-title><issue-title xml:lang="ru">ТОМ 39, №3 (2025)</issue-title><fpage>13</fpage><lpage>24</lpage><history><date date-type="received" iso-8601-date="2025-11-21"><day>21</day><month>11</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Российская академия наук</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0235-0092/article/view/696750">https://journals.eco-vector.com/0235-0092/article/view/696750</self-uri><abstract xml:lang="en"><p>The paper presents a review of modern research on the role of volatile organic compounds in the diagnosis of oncological diseases. The possibilities of canine olfaction, the use of detection dogs to identify diseased organisms among healthy organisms, the difficulties of this method, its comparison with instrumental methods of research are considered. The review includes the results of the authors’ own research and literature data on the specific features of the use of trained animals in the study of volatile organic compounds associated with the development of cancer. Possible ways of this research field development are suggested.</p></abstract><trans-abstract xml:lang="ru"><p>В работе представлен обзор современных исследований роли летучих органических соединений в диагностике онкологических заболеваний. Рассмотрены возможности обоняния собак, использование животных-биосенсоров в выделении больных организмов среди здоровых, сложности этого метода, сравнение его с инструментальными методами исследований. В обзор включены результаты собственных исследований авторов и литературные данные об особенностях применения обученных животных в изучении летучих органических соединений, связанных с развитием онкологических заболеваний. Предложены возможные пути развития этой области исследований.</p></trans-abstract><kwd-group xml:lang="en"><kwd>detection dogs</kwd><kwd>volatile organic compounds</kwd><kwd>cancer</kwd><kwd>diagnostics</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>собаки-детекторы</kwd><kwd>летучие органические соединения</kwd><kwd>рак</kwd><kwd>диагностика</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа поддержана средствами государственного бюджета по гос.заданию (Института проблем передачи информации им. А.А. Харкевича РАН, тема № FFNU-2022-0025).</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Amundsen T., Sundstrøm S., Buvik T., Gederaas O.A., Haarverstad R. Can dogs smell lung cancer? First study using exhaled breath and urine screening in unselected patients with suspected lung cancer. Acta Oncol. 2014. V. 53 P. 307–315. https://doi.org/10.3109/0284186X.2013.819996</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Arakawa H., Arakawa K., Deak T. Acute illness induces the release of aversive odor cues from adult, but not prepubertal, male rats and suppresses social investigation by conspecifics. Behav. Neurosci. 2009. V. 123. P. 964–978. https://doi.org/10.1037/a0017114</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Arakawa H., Cruz S., Deak T. From models to mechanisms: odorant communication as a key determinant of social behavior in rodents during illness-associated states. Neurosci Biobehav Rev. 2011. V. 35(9). P. 1916–1928. https://doi.org/10.1016/j.neubiorev.2011.03.007</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Bijland L.R., Bomers M.K., Smulders Y.M. Smelling the diagnosis: a review on the use of scent in diagnosing disease. Neth. J. Med. 2013. V. 71. P. 300–307.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Buszewski B., Ligor T., Jezierski T., Wenda-Piesik A., Walczak M., Rudnicka J. Identification of volatile lung cancer markers by gas chromatography mass spectrometry: comparison with discrimination by canines. Anal. Bioanal. Chem. 2012. V. 404(1). P. 141–146</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Concha A., Mills D.S., Feugier A., Zulch H., Guest C., Harris R., Pike T.W. Using sniffing behavior to differentiate true negative from false negative responses in trained scent-detection dogs. Chem. Senses. 2014. V. 39. P. 749–754. https://doi.org/10.1093/chemse/bju045</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Concha A.R., Guest C.M., Harris R., Pike T.W., Feugier A., Zulch H., Mills D.S. Canine olfactory thresholds to amyl acetate in a biomedical detection scenario. Front. Vet. Sci. 2019. V. 5. P. 345. https://doi.org/10.3389/fvets.2018.00345</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Concha A. Detection of human diseases for medical diagnostics. In: Lazarowski, L. (eds) Olfactory Research in Dogs. 2023. Springer, Cham. P. 291-331. https://doi.org/10.1007/978-3-031-39370-9_12</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Cornu J.N., Cancel-Tassin G., Ondet V., Girardet C., Cussenot O. Olfactory detection of prostate cancer by dogs sniffing urine: a step forward in early diagnosis. Eur. Urol. 2011. V. 59. P. 197–201. https://doi.org/10.1016/j.eururo.2010.10.006</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Crawford M.A., Chang C.L., Browne C.M., Hopping S., Jameson M.B., Edwards T.L. Breath versus saliva for lung cancer detection with dogs. ERJ Open Res. 2025. https://doi.org/10.1183/23120541.00914-2024</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Elliker K.R., Sommerville B.A., Broom D.M., Neal D.E., Armstrong S., Williams H.C. Key considerations for the experimental training and evaluation of cancer odour detection dogs: lessons learnt from a double-blind, controlled trial of prostate cancer detection. BMC Urol. 2014. V. 14. P. 1-9. https://doi.org/10.1186/1471-2490-14-22</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Ferkin M.H. Odor communication and mate choice in rodents. Biology. 2018. V. 7(1). P. 13. https://doi.org/10.3390/biology7010013</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Fischer-Tenhagen C., Johnen D., Nehls I., Becker R. A proof of concept: are detection dogs a useful tool to verify potential biomarkers for lung cancer? Front. Vet. Sci. 2018. V. 5. P. 1–6. https://doi.org/10.3389/fvets.2018.00052</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Ghirlanda S.; Enquist M. A century of generalization. Anim. Behav. 2003. V. 66. P. 15–36. https://doi.org/10.1006/anbe.2003.2174</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Giró Benet J., Seo M., Khine M., Gumà Padró J., Pardo Martnez A., Kurdahi F. Breast cancer detection by analyzing the volatile organic compound (VOC) signature in human urine. Sci. Rep. 2022. V. 12. P. 14873. https://doi.org/10.1038/s41598– 022-17795-8</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Gordon R.T., Schatz C.B., Myers L.J., Kosty M., Gonczy C., Kroener J., Tran M., Kurtzhals P., Heath S., Koziol J.A., Arthur N. The use of canines in the detection of human cancers. J. Altern. Complement. Med. 2008. V. 14. P. 61–67. https://doi.org/10.1089/acm.2006.6408</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Guerrero-Flores H., Apresa-García T., Garay-Villar Ó., Sánchez-Pérez A., Flores-Villegas D., Bandera-Calderón A., Garcia-Palacios R., Rojas-Sanchez T., Romero-Morelos P., Sanchez-Albor V., Mata O. A non-invasive tool for detecting cervical cancer odor by trained scent dogs. BMC Cancer. 2017. V. 17. P. 1–8. https://doi.org/10.1186/s12885-016-2996-4</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Guest C., Harris R., Sfanos K.S., Shrestha E., Partin A.W., Trock B., Mangold L., Bader R., Kozak A., Mclean S., Simons J. Feasibility of integrating canine olfaction with chemical and microbial profiling of urine to detect lethal prostate cancer. PLoS One. 2021 V. 16(2). P. e0245530. https://doi.org/10.1371/journal.pone.0245530</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Guest C.M., Harris R., Anjum I., Concha A.R., Rooney N.J. A lesson in standardization–Subtle aspects of the processing of samples can greatly affect dogs’ learning. Front. Vet. Sci. 2020. V. 7. P. 525 [online]. https://doi.org/10.3389/fvets.2020.00525</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Hakim M., Broza Y.Y., Barash O., Peled N., Phillips M., Amann A., Haick H. Volatile organic compounds of lung cancer and possible biochemical pathways. Chem. Rev. 2012. V. 112. P. 5949–5966. https://doi.org/10.1021/cr300174a</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Hardin D.S., Anderson W., Cattet J. Dogs can be successfully trained to alert to hypoglycemia samples from patients with type 1 diabetes. Diabetes Therapy. 2015. V. 6(4). P. 509-517. https://doi.org/10.1007/s13300-015-0135-x</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Hermieu J.F., Hermieu M., Roux A., Desquilbet L., Hermieu N., Gallet C., Xylinas E., De La Taille A., Grandjean D. Contribution of canine olfaction in the diagnostic strategy of intermediate and high-risk prostate cancer: a double-blind validation study. World. J. Urol. 2024. V. 42. P. 497. https://doi.org/10.1007/s00345-024-05201-z</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Holt L., Johnston S.V. From small to tall: breed-varied household pet dogs can be trained to detect Parkinson’s Disease. Animal Cognition. 2024. V. 27(1). P. 62. https://doi.org/10.1007/s10071-024-01902-5</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Hori S.S., Gambhir S.S. Mathematical model identifies blood biomarker-based early cancer detection strategies and limitations. Sci Transl Med. 2011. V. 3(109). P. 109–116. https://doi: 10.1126/scitranslmed.3003110</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Horvath G., Järverud G.A.K., Järverud S., Horváth I. Human ovarian carcinomas detected by specific odor. Integr. Cancer. Ther. 2008. V. 7. P. 76–80. https://doi.org/10.1177/1534735408319058</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Horvath G., Andersson H., Paulsson G. Characteristic odour in the blood reveals ovarian carcinoma. BMC Cancer. 2010. V. 10. P. 643 https://doi.org/10.1186/1471-2407-10-643</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Horvath G., Andersson H., Nemes S. Cancer odor in the blood of ovarian cancer patients: a retrospective study of detection by dogs during treatment, 3 and 6 months afterward. BMC Cancer. 2013. V. 13. P. 1-7. https://doi.org/10.1186/1471-2407-13-396</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Jendrny P., Twele F., Meller S., Schulz C., von Köckritz-Blickwede M., Osterhaus A.D., Ebbers H., Ebbers J., Pilchová V., Pink I., Welte T. Scent dog identification of SARS-CoV-2 infections in different body fluids. BMC Infect. Dis. 2021. P. 1-4. https://doi.org/10.1186/s12879-021-06411-1</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>Jezierski T., Walczak M., Ligor T., Rudnicka J., Buszewski B. Study of the art: canine olfaction used for cancer detection on the basis of breath odour. Perspectives and limitations. J Breath Res. 2015. V. 9. P. 027001. http://iopscience.iop.org/1752-7163/9/2/027001</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Junqueira H., Quinn T.A., Biringer R., Hussein M., Smeriglio C., Barrueto L., Finizio J., Huang X.Y. Accuracy of canine scent detection of non–small cell lung cancer in blood serum. J. Am. Osteopathic Assoc. 2019. V. 119(7). P. 413–418. https://doi.org/10.7556/jaoa.2019.077</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Kane S.A., Lee Y.E., Essler J.L., Mallikarjun A., Preti G., Verta A., DeAngelo A., Otto C.M. Canine discrimination of ovarian cancer through volatile organic compounds. Talanta. 2022. V. 250. P. 123729. https://doi.org/10.1016/j.talanta.2022.123729</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation>Kavaliers M., Choleris E., Pfaff D.W. Recognition and avoidance of the odors of parasitized conspecifics and predators: differential genomic correlates. Neurosci. Biobehav. Rev. 2005. V. 29. P. 1347– 1359. https://doi.org/10.1016/j.neubiorev.2005.04.011</mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Kiesecker J.M., Skelly D.K., Beard K.H., Preisser E. Behavioral reduction of infection risk. Proc. Natl. Acad. Sci. USA. 1999. V. 96. P. 9165–9168. https://doi.org/10.1073/pnas.96.16.9165</mixed-citation></ref><ref id="B34"><label>34.</label><mixed-citation>Kimball B.A., Opiekun M., Yamazaki K., Beauchamp G.K. Immunization alters body odor. Physiol. Behav. 2014. V. 128. P. 80-85. https://doi.org/10.1016/j.physbeh.2014.01.022</mixed-citation></ref><ref id="B35"><label>35.</label><mixed-citation>Kimball B.A., Yamazaki K., Kohler D., Bowen R.A., Muth J.P., Opiekun M., Beauchamp G.K. Avian influenza infection alters fecal odor in mallards. PLoS One. 2013 V. 8(10). P. e75411. https://doi.org/10.1371/journal.pone.0075411</mixed-citation></ref><ref id="B36"><label>36.</label><mixed-citation>Kochevalina M.Y., Bukharina A.B., Trunov V.G., Pento A.V., Morozova O.V., Kogun’ G.A., Simanovsky Y.O., Nikiforov S.M., Rodionova E.I. Changes in the urine volatile metabolome throughout growth of transplanted hepatocarcinoma. Sci. Rep. 2022. V. 12(1). P. 7774. https://doi.org/10.1038/s41598-022-11818-0</mixed-citation></ref><ref id="B37"><label>37.</label><mixed-citation>Kure S., Iida S., Yamada M., Takei H., Yamashita N., Sato Y., Miyashita M. Breast cancer detection from a urine sample by dog sniffing. Research Square. 2020. https://doi.org/10.21203/rs.3.rs-89484/v1</mixed-citation></ref><ref id="B38"><label>38.</label><mixed-citation>Kure S., Iida S., Yamada M., Takei H., Yamashita N., Sato Y., Miyashita M. Breast cancer detection from a urine sample by dog sniffing: a preliminary study for the development of a new screening device, and a literature review. Biology. 2021. V.10(6). P. 517. https://doi.org/10.3390/biology10060517</mixed-citation></ref><ref id="B39"><label>39.</label><mixed-citation>Lima A.R., Pinto J., Azevedo A.I., Barros-Silva D., Jerónimo C., Henrique R., de Lourdes Bastos M., Guedes de Pinho P., Carvalho M. Identification of a biomarker panel for improvement of prostate cancer diagnosis by volatile metabolic profiling of urine. Br. J. Cancer. 2019. V. 121(10). P. 857–868. https://doi.org/10.1038/s41416-019-0585-4</mixed-citation></ref><ref id="B40"><label>40.</label><mixed-citation>Lippi G., Cervellin G. Canine olfactory detection of cancer versus laboratory testing: myth or opportunity? Clin. Chem. Lab. Med. 2012. V. 50. P. 435–439. doi.org/10.1515/cclm.2011.672</mixed-citation></ref><ref id="B41"><label>41.</label><mixed-citation>Lippi G., Heaney L.M. The “olfactory fingerprint”: can diagnostics be improved by combining canine and digital noses? Clin. Chem. Lab. Med. 2020. V. 58. P. 958–967. https://doi.org/10.1515/cclm2019-1269</mixed-citation></ref><ref id="B42"><label>42.</label><mixed-citation>Maa E., Arnold J., Ninedorf K., Olsen H. Canine detection of volatile organic compounds unique to human epileptic seizure. Epilepsy Behav. 2021. V. 115. P. 107690. https://doi.org/10.1016/j.yebeh.2020.107690</mixed-citation></ref><ref id="B43"><label>43.</label><mixed-citation>Matsumura K., Opiekun M., Oka H., Vachani A., Albelda S.M., Yamazaki K., Beauchamp G.K. Urinary volatile compounds as biomarkers for lung cancer: a proof of principle study using odor signatures in mouse models of lung cancer. PLoS One. 2010. V. 5. P. e8819. https://doi.org/10.1371/journal.pone.0008819</mixed-citation></ref><ref id="B44"><label>44.</label><mixed-citation>McCulloch M., Jezierski T., Broffman M., Hubbard A, Turner K., Janecki T. Diagnostic accuracy of canine scent detection in early– and late-stage lung and breast cancers. Integr. Cancer Ther. 2006. V. 5(1). P. 30-39. https://doi.org/10.1177/153473540528509</mixed-citation></ref><ref id="B45"><label>45.</label><mixed-citation>Moser E., McCulloch M. Canine scent detection of human cancers: a review of methods and accuracy. J. Vet. Behav. 2010. V. 5(3). P. 145–152. https://doi.org/10.1016/j.jveb.2010.01.002</mixed-citation></ref><ref id="B46"><label>46.</label><mixed-citation>Moser E, Ariella Y., Bizo L., Brown W.Y. Olfactory Generalization in Detector Dogs” Animals. 2019. V. 9. P. 702. https://doi.org/10.3390/ani9090702</mixed-citation></ref><ref id="B47"><label>47.</label><mixed-citation>Ortal A., Rodríguez A., Solis-Hernández M.P. Proof of concept for the use of trained sniffer dogs to detect osteosarcoma. Sci. Rep. 2022. V. 12. P. 6911 https://doi.org/10.1038/s41598-022-11013-1</mixed-citation></ref><ref id="B48"><label>48.</label><mixed-citation>Pashkovski S.L., Iurilli G., Brann D., Chicharro D., Drummey K., Franks K., Panzeri S., Datta S.R. Structure and flexibility in cortical representations of odour space. Nature. 2020. V. 583(7815). P. 253–258. https://doi.org/10.1038/s41586-020-2451-1</mixed-citation></ref><ref id="B49"><label>49.</label><mixed-citation>Picket D.P., Manucy G.P., Walker D.B., Hall S.B., Walker J.C. Evidence of canine olfactory detection of melanoma. Appl. Animal. Behav. Sci. 2004. V. 89(1–2). P. 107–116. https://doi.org/10.1016/j.applanim.2004.04.008</mixed-citation></ref><ref id="B50"><label>50.</label><mixed-citation>Pirrone F., Albertini M. Olfactory detection of cancer by trained sniffer dogs: a systematic review of the literature. J. Vet. Behav. 2017. V. 19. P. 105–118. https://doi.org/10.1016/j.jveb.2017.03.004</mixed-citation></ref><ref id="B51"><label>51.</label><mixed-citation>Riedlova P., Tavandzis S., Kana J., Tobiasova M. Olfactometric diagnosis of lung cancer by canine scent—a double-blinded study. Complement. Ther. Med. 2022. V. 64. P. 102800. https://doi.org/10. 1016/j.ctim.2022.102800</mixed-citation></ref><ref id="B52"><label>52.</label><mixed-citation>Rodionova E., Morozova O., Kochevalina M., Kogun G., Trunov V.G. Physical Trauma Alters the Spectrum of Volatile Organic Compounds. Biol. Bull. 2025. (In press.)</mixed-citation></ref><ref id="B53"><label>53.</label><mixed-citation>Rodionova E.I., Kochevalina M.Y., Kotenkova E.V., Morozova O.V., Kogun’ G.A., Bataeva E.L., Ambaryan A.V. Detection of volatile organic compounds associated with hepatocellular carcinoma by macrosmatic animals: Approaches to the search for new tumor markers. Biol. Bull. 2015. V. 42. P. 239-245. https://doi.org/10.1134/S1062359015030103</mixed-citation></ref><ref id="B54"><label>54.</label><mixed-citation>Rudnicka J., Walczak M., Kowalkowski T., Jezierski T., Buszewski B. Determination of volatile organic compounds as potential markers of lung cancer by gas chromatography–mass spectrometry versus trained dogs. Sens. Actuat. B: Chem. 2014. V. 202. P. 615–621. https://doi.org/10.1016/j.snb.2014.06.006</mixed-citation></ref><ref id="B55"><label>55.</label><mixed-citation>Schoon A., De Jonge D., Hilverink P. How dogs learn to detect colon cancer—optimizing the use of training aids. J. Vet. Behav. 2020. V. 35. P. 38–44. https://doi.org/10.1016/j.jveb.2019.10.006</mixed-citation></ref><ref id="B56"><label>56.</label><mixed-citation>Shirasu M., Touhara K. The scent of disease: volatile organic compounds of the human body related to disease and disorder. J Biochem. 2011. V. 150(3). P. 257–266. https://doi.org/10.1093/jb/mvr090</mixed-citation></ref><ref id="B57"><label>57.</label><mixed-citation>Sonoda H., Kohnoe S., Yamazato T., Satoh Y., Morizono G., Shikata K., Morita M., Watanabe A., Morita M., Kakeji Y., Inoue F. Colorectal cancer screening with odour material by canine scent detection. Gut. 2011. V. 60. P. 814–819. https://doi.org/10.1136/gut.2010.218305</mixed-citation></ref><ref id="B58"><label>58.</label><mixed-citation>Taverna G., Tidu L., Grizzi F., Torri V., Mandressi A., Sardella P., La Torre G., Cocciolone G., Seveso M., Giusti G., Hurle R. Olfactory system of highly trained dogs detects prostate cancer in urine samples. J. Urol. 2015. V. 193. P. 1382–1387. https://doi.org/10.1016/j.juro.2014.09.099</mixed-citation></ref><ref id="B59"><label>59.</label><mixed-citation>Urbanova L., Vylmankova V., Krisova S., Pacik D., Necas A. Intensive training technique utilizing the dog’s olfactory abilities to diagnose prostate cancer in men. Acta Vet. Brno. 2015.V. 84. P. 77–82. https://doi.org/10.2754/avb201585010077</mixed-citation></ref><ref id="B60"><label>60.</label><mixed-citation>Walker D.B., Walker J.C., Cavnar P. J., Taylor J. L., Pickel D. H., Hall S. B., Suarez J.C. Naturalistic quantification of canine olfactory sensitivity. Appl. Anim. Behav. Sci. 2006. V. 97(2-4). P. 241-254. https://doi.org/10.1016/j.applanim.2005.07.009</mixed-citation></ref><ref id="B61"><label>61.</label><mixed-citation>Walczak M. Operant conditioning of dogs for detection of odour markers of cancer diseases. PhD thesis. Institute of Genetics and Animal Breeding of Polish Academy of Sciences. 2009. (in Polish)</mixed-citation></ref><ref id="B62"><label>62.</label><mixed-citation>Walczak M., Jezierski T., Górecka-Bruzda A., Sobczyńska M., Ensminger J. Impact of individual training parameters and manner of taking breath odor samples on the reliability of canines as cancer screeners. J. Vet. Behav. Clin. Appl. Res. 2012. V. 7(5). P. 283-294. https://doi.org/10.1016/j.jveb.2012.01.001</mixed-citation></ref><ref id="B63"><label>63.</label><mixed-citation>Willis C.M., Britton L.E., Harris R., Wallace J., Guest C.M. Volatile organic compounds as biomarkers of bladder cancer: sensitivity and specificity using trained sniffer dogs. Cancer Biomark. 2010. V. 8. P. 145–153. https://doi.org/10.3233/cbm-2011-0208</mixed-citation></ref><ref id="B64"><label>64.</label><mixed-citation>Willis C.M., Church S.M., Guest C.M., Cook W.A., McCarthy N., Bransbury A.J., Church M.R., Church J.C. Olfactory detection of human bladder cancer by dogs: proof of principle study. BMJ. 2004. V. 329(7468). P. 712.https://doi.org/10.1136/bmj.329.7468.712</mixed-citation></ref><ref id="B65"><label>65.</label><mixed-citation>Yamamoto A., Kamoi S., Kurose K., Ito M., Takeshita T., Kure S., Sakamoto K., Sato Y., Miyashita M. The trained sniffer dog could accurately detect the urine samples from the patients with cervical cancer, and even cervical intraepithelial neoplasia grade 3: a pilot study. Cancers. 2020. V. 12(11). P. 3291. https://doi.org/10.3390/cancers1211329</mixed-citation></ref></ref-list></back></article>
