Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers
Bladder cancer (BCa) and prostate cancer (PCa) are some of the most common cancers in the world. In both BCa and PCa, the diagnosis is often confirmed with an invasive technique that carries a risk to the patient. Consequently, a non-invasive diagnostic approach would be medically desirable and bene...
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2021
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oai:doaj.org-article:4c920679182643b1a72c89c5b329005d2021-11-25T16:55:22ZUrinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers10.3390/bios111104372079-6374https://doaj.org/article/4c920679182643b1a72c89c5b329005d2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-6374/11/11/437https://doaj.org/toc/2079-6374Bladder cancer (BCa) and prostate cancer (PCa) are some of the most common cancers in the world. In both BCa and PCa, the diagnosis is often confirmed with an invasive technique that carries a risk to the patient. Consequently, a non-invasive diagnostic approach would be medically desirable and beneficial to the patient. The use of volatile organic compounds (VOCs) for disease diagnosis, including cancer, is a promising research area that could support the diagnosis process. In this study, we investigated the urinary VOC profiles in BCa, PCa patients and non-cancerous controls by using gas chromatography-ion mobility spectrometry (GC-IMS) and gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) to analyse patient samples. GC-IMS separated BCa from PCa (area under the curve: AUC: 0.97 (0.93–1.00)), BCa vs. non-cancerous (AUC: 0.95 (0.90–0.99)) and PCa vs. non-cancerous (AUC: 0.89 (0.83–0.94)) whereas GC-TOF-MS differentiated BCa from PCa (AUC: 0.84 (0.73–0.93)), BCa vs. non-cancerous (AUC: 0.81 (0.70–0.90)) and PCa vs. non-cancerous (AUC: 0.94 (0.90–0.97)). According to our study, a total of 34 biomarkers were found using GC-TOF-MS data, of which 13 VOCs were associated with BCa, seven were associated with PCa, and 14 VOCs were found in the comparison of BCa and PCa.Heena TyagiEmma DaultonAyman S. BannagaRamesh P. ArasaradnamJames A. CovingtonMDPI AGarticlebladder cancerprostate cancerurinary biomarkersurinary VOCsmachine olfactionGC-IMSBiotechnologyTP248.13-248.65ENBiosensors, Vol 11, Iss 437, p 437 (2021) |
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bladder cancer prostate cancer urinary biomarkers urinary VOCs machine olfaction GC-IMS Biotechnology TP248.13-248.65 |
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bladder cancer prostate cancer urinary biomarkers urinary VOCs machine olfaction GC-IMS Biotechnology TP248.13-248.65 Heena Tyagi Emma Daulton Ayman S. Bannaga Ramesh P. Arasaradnam James A. Covington Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers |
description |
Bladder cancer (BCa) and prostate cancer (PCa) are some of the most common cancers in the world. In both BCa and PCa, the diagnosis is often confirmed with an invasive technique that carries a risk to the patient. Consequently, a non-invasive diagnostic approach would be medically desirable and beneficial to the patient. The use of volatile organic compounds (VOCs) for disease diagnosis, including cancer, is a promising research area that could support the diagnosis process. In this study, we investigated the urinary VOC profiles in BCa, PCa patients and non-cancerous controls by using gas chromatography-ion mobility spectrometry (GC-IMS) and gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) to analyse patient samples. GC-IMS separated BCa from PCa (area under the curve: AUC: 0.97 (0.93–1.00)), BCa vs. non-cancerous (AUC: 0.95 (0.90–0.99)) and PCa vs. non-cancerous (AUC: 0.89 (0.83–0.94)) whereas GC-TOF-MS differentiated BCa from PCa (AUC: 0.84 (0.73–0.93)), BCa vs. non-cancerous (AUC: 0.81 (0.70–0.90)) and PCa vs. non-cancerous (AUC: 0.94 (0.90–0.97)). According to our study, a total of 34 biomarkers were found using GC-TOF-MS data, of which 13 VOCs were associated with BCa, seven were associated with PCa, and 14 VOCs were found in the comparison of BCa and PCa. |
format |
article |
author |
Heena Tyagi Emma Daulton Ayman S. Bannaga Ramesh P. Arasaradnam James A. Covington |
author_facet |
Heena Tyagi Emma Daulton Ayman S. Bannaga Ramesh P. Arasaradnam James A. Covington |
author_sort |
Heena Tyagi |
title |
Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers |
title_short |
Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers |
title_full |
Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers |
title_fullStr |
Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers |
title_full_unstemmed |
Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers |
title_sort |
urinary volatiles and chemical characterisation for the non-invasive detection of prostate and bladder cancers |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/4c920679182643b1a72c89c5b329005d |
work_keys_str_mv |
AT heenatyagi urinaryvolatilesandchemicalcharacterisationforthenoninvasivedetectionofprostateandbladdercancers AT emmadaulton urinaryvolatilesandchemicalcharacterisationforthenoninvasivedetectionofprostateandbladdercancers AT aymansbannaga urinaryvolatilesandchemicalcharacterisationforthenoninvasivedetectionofprostateandbladdercancers AT rameshparasaradnam urinaryvolatilesandchemicalcharacterisationforthenoninvasivedetectionofprostateandbladdercancers AT jamesacovington urinaryvolatilesandchemicalcharacterisationforthenoninvasivedetectionofprostateandbladdercancers |
_version_ |
1718412834486878208 |