Evaluation of the Possibility of Volatile Organic Compounds Determination in Exhaled Air by Gas Chromatography for the Noninvasive Diagnostics of Lung Cancer

Gashimova, Elina; Темердашев, А. З.; Pоrkhanov, V. A.; Polyakov, I. S.; Perunov, Dmitry; Azaryan, A. A.; Dmitrieva, Ekaterina

doi:10.1134/s1061934819050034

Cited by 8 publications

(5 citation statements)

References 32 publications

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“…The medical diagnosis of each patient was confirmed by biopsy (65 patientsendobronchial biopsy, 7 patientstransbronchial biopsy, and 3 patientstranstorachal biopsy). All the samples from lung cancer patients except 6 were collected during chemotherapy courses conducted under the following schemes: 28…”

Section: Human Subjects and Sampling Of Exhaled Breathmentioning

confidence: 99%

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Investigation of different approaches for exhaled breath and tumor tissue analyses to identify lung cancer biomarkers

Gashimova

Темердашев

Pоrkhanov

et al. 2020

Heliyon

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Development of early noninvasive methods for lung cancer diagnosis is among the most promising technologies, especially using exhaled breath as an object of analysis. Simple sample collection combined with easy and quick sample preparation, as well as the long-term stability of the samples, make it an ideal choice for routine analysis. The conditions of exhaled breath analysis by preconcentrating volatile organic compounds (VOCs) in sorbent tubes, two-stage thermal desorption and gas-chromatographic determination with flame-ionization detection have been optimized. These conditions were applied to estimate differences in exhaled breath VOC profiles of lung cancer patients and healthy volunteers. The combination of statistical methods was used to evaluate the ability of VOCs and their ratios to classify lung cancer patients and healthy volunteers. The performance of diagnostic models on the test data set was greater than 90 % for both VOC peak areas and their ratios. Some of the exhaled breath samples were analyzed using gas chromatography coupled with mass spectrometry (GC-MS) to identify VOCs present in exhaled breath at lower concentration levels. To confirm the endogenous origin of VOCs found in exhaled breath, GC-MS analysis of tumor tissues was conducted. Some of the VOCs identified in exhaled breath were found in tumor tissues, but their frequency of occurrence was significantly lower than in the case of exhaled breath.

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Section: Human Subjects and Sampling Of Exhaled Breathmentioning

confidence: 99%

“…An attempt to increase the sample flow rate per tube to 100 and 200 mL/min was made to accelerate the preconcentration procedure, and it did not affect the breakthrough, which is why a flow rate of 200 mL/min was chosen. The optimization stage has previously been described in detail [28].…”

Section: Optimization Of Preconcentration and Analysis Proceduresmentioning

confidence: 99%

Investigation of different approaches for exhaled breath and tumor tissue analyses to identify lung cancer biomarkers

Gashimova

Темердашев

Pоrkhanov

et al. 2020

Heliyon

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“…The procedure was repeated until the sampling bag was filled. Sample treatment and chromatographic analysis conditions were optimized and applied earlier [43,55]. A PV-2 aspirator (Chromatec, Yoshkar-Ola, Russia) and Tenax TA (60-80 mesh, Chromatec, Yoshkar-Ola, Russia) sorbent tubes were applied to preconcentrate the samples.…”

Section: Exhaled Breath Collection and Gc-ms Analysismentioning

confidence: 99%

Selectivity of Exhaled Breath Biomarkers of Lung Cancer in Relation to Cancer of Other Localizations

Gashimova,

Temerdashev,

Perunov

et al. 2023

IJMS

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Lung cancer is a leading cause of death worldwide, mostly due to diagnostics in the advanced stage. Therefore, the development of a quick, simple, and non-invasive diagnostic tool to identify cancer is essential. However, the creation of a reliable diagnostic tool is possible only in case of selectivity to other diseases, particularly, cancer of other localizations. This paper is devoted to the study of the variability of exhaled breath samples among patients with lung cancer and cancer of other localizations, such as esophageal, breast, colorectal, kidney, stomach, prostate, cervix, and skin. For this, gas chromatography-mass spectrometry (GC-MS) was used. Two classification models were built. The first model separated patients with lung cancer and cancer of other localizations. The second model classified patients with lung, esophageal, breast, colorectal, and kidney cancer. Mann–Whitney U tests and Kruskal–Wallis H tests were applied to identify differences in investigated groups. Discriminant analysis (DA), gradient-boosted decision trees (GBDT), and artificial neural networks (ANN) were applied to create the models. In the case of classifying lung cancer and cancer of other localizations, average sensitivity and specificity were 68% and 69%, respectively. However, the accuracy of classifying groups of patients with lung, esophageal, breast, colorectal, and kidney cancer was poor.

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“…Cleaning the sampling bags with pure nitrogen, (Caldeira et al, 2012;Mochalski et al, 2013a;Amal et al, 2016;Gashimova et al, 2019;Koureas et al, 2020), helium (Murtada et al, 2021) or humidified zero-air (Be et al, 2008). the main drawback of sampling bags is their storage time, with Mochalski et al (Mochalski et al, 2013a) recommending storing the bags at 4 °C and to not extract VOCs from the bags beyond 6 h after sampling.…”

Section: Sampling Bagsmentioning

confidence: 99%

Unraveling the potential of breath and sweat VOC capture devices for human disease detection: a systematic-like review of canine olfaction and GC-MS analysis

Maidodou,

Clarot,

Leemans

et al. 2023

Front. Chem.

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The development of disease screening methods using biomedical detection dogs relies on the collection and analysis of body odors, particularly volatile organic compounds (VOCs) present in body fluids. To capture and analyze odors produced by the human body, numerous protocols and materials are used in forensics or medical studies. This paper provides an overview of sampling devices used to collect VOCs from sweat and exhaled air, for medical diagnostic purposes using canine olfaction and/or Gas Chromatography-Mass spectrometry (GC-MS). Canine olfaction and GC-MS are regarded as complementary tools, holding immense promise for detecting cancers and infectious diseases. However, existing literature lacks guidelines for selecting materials suitable for both canine olfaction and GC-MS. Hence, this review aims to address this gap and pave the way for efficient body odor sampling materials. The first section of the paper describes the materials utilized in training sniffing dogs, while the second section delves into the details of sampling devices and extraction techniques employed for exhaled air and sweat analysis using GC-MS. Finally, the paper proposes the development of an ideal sampling device tailored for detection purposes in the field of odorology. By bridging the knowledge gap, this study seeks to advance disease detection methodologies, harnessing the unique abilities of both dogs and GC-MS analysis in biomedical research.

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Evaluation of the Possibility of Volatile Organic Compounds Determination in Exhaled Air by Gas Chromatography for the Noninvasive Diagnostics of Lung Cancer

Cited by 8 publications

References 32 publications

Investigation of different approaches for exhaled breath and tumor tissue analyses to identify lung cancer biomarkers

Investigation of different approaches for exhaled breath and tumor tissue analyses to identify lung cancer biomarkers

Selectivity of Exhaled Breath Biomarkers of Lung Cancer in Relation to Cancer of Other Localizations

Unraveling the potential of breath and sweat VOC capture devices for human disease detection: a systematic-like review of canine olfaction and GC-MS analysis

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