scholarly journals Exhaled Breath Analysis for Cancer Diagnosis and Screening

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Li Lu
2020 ◽  
pp. e4588
Author(s):  
Yi Hong ◽  
Xinxin Che ◽  
Haibo Su ◽  
Zebin Mai ◽  
Zhengxu Huang ◽  
...  

2014 ◽  
Vol 67 (8) ◽  
pp. 707-711 ◽  
Author(s):  
A Jasmijn Hubers ◽  
Paul Brinkman ◽  
Remco J Boksem ◽  
Robert J Rhodius ◽  
Birgit I Witte ◽  
...  

AimsThe aim of this study is to explore DNA hypermethylation analysis in sputum and exhaled breath analysis for their complementary, non-invasive diagnostic capacity in lung cancer.MethodsSputum samples and exhaled breath were prospectively collected from 20 lung cancer patients and 31 COPD controls (Set 1). An additional 18 lung cancer patients and 8 controls only collected exhaled breath as validation set (Set 2). DNA hypermethylation of biomarkers RASSF1A, cytoglobin, APC, FAM19A4, PHACTR3, 3OST2 and PRDM14 was considered, and breathprints from exhaled breath samples were created using an electronic nose (eNose).ResultsBoth DNA hypermethylation markers in sputum and eNose were independently able to distinguish lung cancer patients from controls. The combination of RASSF1A and 3OST2 hypermethylation had a sensitivity of 85% with a specificity of 74%. eNose had a sensitivity of 80% with a specificity of 48%. Sensitivity for lung cancer diagnosis increased to 100%, when RASSF1A hypermethylation was combined with eNose, with specificity of 42%. Both methods showed to be complementary to each other (p≤0.011). eNose results were reproducible in Set 2.ConclusionsWhen used in concert, RASSF1A hypermethylation in sputum and exhaled breath analysis are complementary for lung cancer diagnosis, with 100% sensitivity in this series. This finding should be further validated.


Oncotarget ◽  
2018 ◽  
Vol 9 (48) ◽  
pp. 28805-28817 ◽  
Author(s):  
Cristhian Manuel Durán-Acevedo ◽  
Aylen Lisset Jaimes-Mogollón ◽  
Oscar Eduardo Gualdrón-Guerrero ◽  
Tesfalem Geremariam Welearegay ◽  
Julián Davíd Martinez-Marín ◽  
...  

Molecules ◽  
2021 ◽  
Vol 26 (12) ◽  
pp. 3776
Author(s):  
Carsten Jaeschke ◽  
Marta Padilla ◽  
Johannes Glöckler ◽  
Inese Polaka ◽  
Martins Leja ◽  
...  

Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment consists of classifying breath samples from 15 subjects before and after eating a specific meal using three instruments. We investigate the possibility to transfer calibration models across instruments using transfer samples from the experiment under study, since representative samples of human breath at some conditions are difficult to simulate in a laboratory. For example, exhaled breath from subjects suffering from a disease for which the biomarkers are mostly unknown. Results show that many transfer samples of all the classes under study (in our case meal/no meal) are needed, although some CT methods present reasonably good results with only one class.


Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106767
Author(s):  
Cristhian Manuel Durán Acevedo ◽  
Carlos A. Cuastumal Vasquez ◽  
Jeniffer Katerine Carrillo Gómez

2016 ◽  
Vol 10 (2) ◽  
pp. 026012 ◽  
Author(s):  
Tali Feinberg ◽  
Layah Alkoby-Meshulam ◽  
Jens Herbig ◽  
John C Cancilla ◽  
Jose S Torrecilla ◽  
...  

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