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

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

doi:10.1016/j.heliyon.2020.e04224

Cited by 30 publications

(33 citation statements)

References 45 publications

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“…Although we did not find any literature reporting the relations of this pathway and lung cancer incidence, toluene and xylene are confirmed to be risk factor of lung cancer [ 28 , 29 ]. Additionally, they have been detected in exhaled breath [ 30 ], especially they were reported as lung cancer markers in exhaled breath in a series of papers [ 31–34 ]. But many aromatic VOCs were also reported as results of cigarettes exposure [ 35 ], which made it doubtful whether they can be available lung cancer markers.…”

Section: Discussionmentioning

confidence: 99%

Exhaled metabolic markers and relevant dysregulated pathways of lung cancer: a pilot study

Zou

Jiang³

et al. 2022

Annals of Medicine

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Introduction The clinical application of lung cancer detection based on breath test is still challenging due to lack of predictive molecular markers in exhaled breath. This study explored potential lung cancer biomarkers and their related pathways using a typical process for metabolomics investigation. Material and methods Breath samples from 60 lung cancer patients and 176 healthy people were analyzed by GC-MS. The original data were GC-MS peak intensity removing background signal. Differential metabolites were selected after univariate statistical analysis and multivariate statistical analysis based on OPLS-DA and Spearman rank correlation analysis. A multivariate PLS-DA model was established based on differential metabolites for pattern recognition. Subsequently, pathway enrichment analysis was performed on differential metabolites. Results The discriminant capability was assessed by ROC curve of whom the average AUC and average accuracy in 100-fold cross validations were 0.871 and 0.787, respectively. Eight potential biomarkers were involved in a total of 18 metabolic pathways. Among them, 11 metabolic pathways have p -value smaller than .1. Discussion Some pathways among them are related to risk factors or therapies of lung cancer. However, more of them are dysregulated pathways of lung cancer reported in studies based on genome or transcriptome data. Conclusion We believe that it opens the possibility of using metabolomics methods to analyze data of exhaled breath and promotes involvement of knowledge dataset to cover more volatile metabolites. Clinical significance Although a series of related research reported diagnostic models with highly sensitive and specific prediction, the clinical application of lung cancer detection based on breath test is still challenging due to disease heterogeneity and lack of predictive molecular markers in exhaled breath. This study may promote the clinical application of this technique which is suitable for large-scale screening thanks to its low-cost and non-invasiveness. As a result, the mortality of lung cancer may be decreased in future. Key messages In the present study, 11 pathways involving 8 potential biomarkers were discovered to be dysregulated pathways of lung cancer. We found that it is possible to apply metabolomics methods in analysis of data from breath test, which is meaningful to discover convinced volatile markers with definite pathological and histological significance.

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Section: Discussionmentioning

confidence: 99%

Exhaled metabolic markers and relevant dysregulated pathways of lung cancer: a pilot study

Zou

Jiang³

et al. 2022

Annals of Medicine

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“…Comparing Tedlar and Mylar bags, contamination of the samples after 20 h is higher for the former [ 73 ].…”

Section: Methodsmentioning

confidence: 99%

Trends in the Development of Electronic Noses Based on Carbon Nanotubes Chemiresistors for Breathomics

Freddi¹,

Sangaletti²

2022

Nanomaterials

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The remarkable potential of breath analysis in medical care and diagnosis, and the consequent development of electronic noses, is currently attracting the interest of the research community. This is mainly due to the possibility of applying the technique for early diagnosis, screening campaigns, or tracking the effectiveness of treatment. Carbon nanotubes (CNTs) are known to be good candidates for gas sensing, and they have been recently considered for the development of electronic noses. The present work has the aim of reviewing the available literature on the development of CNTs-based electronic noses for breath analysis applications, detailing the functionalization procedure used to prepare the sensors, the breath sampling techniques, the statistical analysis methods, the diseases under investigation, and the population studied. The review is divided in two main sections: one focusing on the e-noses completely based on CNTs and one reporting on the e-noses that feature sensors based on CNTs, along with sensors based on other materials. Finally, a classification is presented among studies that report on the e-nose capability to discriminate biomarkers, simulated breath, and animal or human breath.

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“…For instance, gastroscopy, laryngoscopy, and coronary angiography are used for gastric cancer (GCa), lung cancer (LC), and myocardial infraction diagnosis, respectively [ 1 ]. Other commonly used methods, such as computed tomography [ 2 ] or mammography, used for breast cancer (BC) [ 3 ], may also be harmful due to radiation exposure. As a result, patient compliance and utilization of such diagnostic methods are remarkably reduced for a significant part of the population.…”

Section: Introductionmentioning

confidence: 99%

Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors

Kaloumenou

Skotadis

Lаgopati

et al. 2022

Sensors

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Early-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non-invasive diagnostic tools mandatory. One of the most promising non-invasive diagnostic methods that has also attracted great research interest during the last years is breath analysis; the method detects gas-analytes such as exhaled volatile organic compounds (VOCs) and inorganic gases that are considered to be important biomarkers for various disease-types. The diagnostic ability of gas-pattern detection using analytical techniques and especially sensors has been widely discussed in the literature; however, the incorporation of novel nanomaterials in sensor-development has also proved to enhance sensor performance, for both selective and cross-reactive applications. The aim of the first part of this review is to provide an up-to-date overview of the main categories of sensors studied for disease diagnosis applications via the detection of exhaled gas-analytes and to highlight the role of nanomaterials. The second and most novel part of this review concentrates on the remarkable applicability of breath analysis in differential diagnosis, phenotyping, and the staging of several disease-types, which are currently amongst the most pressing challenges in the field.

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

Cited by 30 publications

References 45 publications

Exhaled metabolic markers and relevant dysregulated pathways of lung cancer: a pilot study

Exhaled metabolic markers and relevant dysregulated pathways of lung cancer: a pilot study

Trends in the Development of Electronic Noses Based on Carbon Nanotubes Chemiresistors for Breathomics

Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors

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