title: In situ detection of lung cancer volatile fingerprints using bronchoscopic air-sampling.
abstract: Lung cancer diagnosis via breath analysis has to overcome some issues that can be summarized by two crucial points: (1) further developments for more performant breath sampling technologies; (2) discovering more differentiated volatile fingerprints to be ascribed to specific altered biological mechanisms. The present work merges these two aspects in a pilot study, where a breath volume, sampled via endoscopic probe, is analyzed by an array of non-selective gas sensors. Even if the original non-invasive methods of breath analysis has been laid in favour of the endoscopic means, the innovative technique here proposed allows the analysis of the volatile mixtures directly sampled near the tumor mass. This strategy could open the way for a better understanding of the already obtained discrimination among positive and negative cancer cases. The results obtained so far confirm the established discrimination capacity. This allows to discriminate the different subtypes of lung cancer with 75% of correct classification between adenocarcinoma and squamous cell carcinoma. This result suggests that a 'zoom-in' on the cancer settled inside the human body can increase the resolution power of key-volatiles detection, allowing the discrimination among different cancer fingerprints. We report this novel technique as a robust support for a better comprehension of the promising results obtained so far and present in literature; it is not to be intended as a replacement for non-invasive breath sampling procedure with the endoscope.
authors.affiliation: Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Roma, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Santonico
authors.forename: G
authors.initials: G
authors.lastname: Lucantoni
authors.forename: G
authors.initials: G
authors.lastname: Pennazza
authors.forename: R
authors.initials: R
authors.lastname: Capuano
authors.forename: G
authors.initials: G
authors.lastname: Galluccio
authors.forename: C
authors.initials: C
authors.lastname: Roscioni
authors.forename: G
authors.initials: G
authors.lastname: La Delfa
authors.forename: D
authors.initials: D
authors.lastname: Consoli
authors.forename: E
authors.initials: E
authors.lastname: Martinelli
authors.forename: R
authors.initials: R
authors.lastname: Paolesse
authors.forename: C
authors.initials: C
authors.lastname: Di Natale
authors.forename: A
authors.initials: A
authors.lastname: D'Amico
mesh_terms: D000230:Adenocarcinoma / Q000175:diagnosis* / Q000378:metabolism; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000378:metabolism*; D001944:Breath Tests; D002294:Carcinoma, Squamous Cell / Q000175:diagnosis* / Q000378:metabolism; D003937:Diagnosis, Differential; D045853:Exhalation; D005260:Female; D008401:Gas Chromatography-Mass Spectrometry; D006801:Humans; D008168:Lung / Q000378:metabolism / Q000473:pathology; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity; D055549:Volatile Organic Compounds / Q000378:metabolism*
chemical_list: D014408:Biomarkers, Tumor; D055549:Volatile Organic Compounds