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Article Dans Une Revue SSRN Electronic Journal Année : 2022

Detection of Volatile Organic Compounds from Preclinical Lung Cancer Mouse Models

Résumé

Volatile organic compounds (VOCs) may help detect cancer tumour. This study addressed this question, as well as two methodological issues: 1) repeatability, comparing VOCs profiles obtained with two Solid Phase Micro Extraction (SPME) fibers used simultaneously; 2) detectability of cancer VOCs biomarkers, comparing profiles obtained following 1h versus 24h exposure of SPME fibers. We analyzed VOCs composition of soiled bedding obtained from a lung adenocarcinoma mouse model in which cancer was induced by doxycycline ingestion. We compared the VOCs profile of soiled bedding of cancerous (CC) and non-cancerous (NC) mice, before (T0), after two-weeks (T2) and after twelve weeks (T12) doxycycline ingestion. The results indicate: 1) qualitative and quantitative consistency in VOCs detection by two distinct SPME fibers ; 2) although more VOCs were detected following a 24h compared to 1h SPME exposure, none of the former molecules were related to cancer; 3) doxycycline impacted VOCs emissions in both CC and NC mice; 4) cancer impacted four VOCs at T12 only: the benzaldehyde which showed higher levels in CC mice and the hexan-1-ol and two mice pheromones, the 2 sec -butyl-4,5-dihydrothiazole and the 3,4-dehydro- exo -brevicomine, which showed lower levels in CC mice. Our study points out that the use of two SPME fibers and an extraction duration of 1h may be considered a good compromise allowing detection of cancer biomarkers while easing bench constraints.

Domaines

Cancer
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Dates et versions

hal-04399814 , version 1 (17-01-2024)

Identifiants

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Flora Gouzerh, Laurent Dormont, Bruno Buatois, Maxime Hervé, Maicol Mancini, et al.. Detection of Volatile Organic Compounds from Preclinical Lung Cancer Mouse Models. SSRN Electronic Journal, 2022, ⟨10.2139/ssrn.4091348⟩. ⟨hal-04399814⟩
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