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Cancers (Basel)


Title:Volatilome Analysis in Prostate Cancer by Electronic Nose: A Pilot Monocentric Study
Author(s):Filianoti A; Costantini M; Bove AM; Anceschi U; Brassetti A; Ferriero M; Mastroianni R; Misuraca L; Tuderti G; Ciliberto G; Simone G;
Address:"Department of Urology, IRCCS-'Regina Elena' National Cancer Institute, 00144 Rome, Italy. Department of Urology, San Filippo Neri Hospital, 00135 Rome, Italy. Scientific Direction, 'Regina Elena' National Cancer Institute, 00144 Rome, Italy"
Journal Title:Cancers (Basel)
Year:2022
Volume:20220614
Issue:12
Page Number: -
DOI: 10.3390/cancers14122927
ISSN/ISBN:2072-6694 (Print) 2072-6694 (Electronic) 2072-6694 (Linking)
Abstract:"Urine analysis via an electronic nose provides volatile organic compounds easily usable in the diagnosis of urological diseases. Although challenging and highly expensive for health systems worldwide, no useful markers are available in clinical practice that aim to anticipate prostate cancer (PCa) diagnosis in the early stages in the context of wide population screening. Some previous works suggested that dogs trained to smell urine could recognize several types of cancers with various success rates. We hypothesized that urinary volatilome profiling may distinguish PCa patients from healthy controls. In this study, 272 individuals, 133 patients, and 139 healthy controls participated. Urine samples were collected, stabilized at 37 degrees C, and analyzed using a commercially available electronic nose (Cyranose C320). Statistical analysis of the sensor responses was performed off-line using principal component (PCA) analyses, discriminant analysis (CDA), and ROC curves. Principal components best discriminating groups were identified with univariable ANOVA analysis. groups were identified with univariable ANOVA analysis. Here, 110/133 and 123/139 cases were correctly identified in the PCa and healthy control cohorts, respectively (sensitivity 82.7%, specificity 88.5%; positive predictive value 87.3%, negative predictive value 84.2%). The Cross Validated Accuracy (CVA 85.3%, p < 0.001) was calculated. Using ROC analysis, the area under the curve was 0.9. Urine volatilome profiling via an electronic nose seems a promising non-invasive diagnostic tool"
Keywords:cancer screening electronic nose gas sensor array prostate cancer tumor biomarkers volatilome;
Notes:"PubMed-not-MEDLINEFilianoti, Alessio Costantini, Manuela Bove, Alfredo Maria Anceschi, Umberto Brassetti, Aldo Ferriero, Mariaconsiglia Mastroianni, Riccardo Misuraca, Leonardo Tuderti, Gabriele Ciliberto, Gennaro Simone, Giuseppe eng Ricerca Corrente 2021 (intramural grants)/Scientific Direction of IRCCS - 'Regina Elena' National Cancer Institute of Rome/ Switzerland 2022/06/25 Cancers (Basel). 2022 Jun 14; 14(12):2927. doi: 10.3390/cancers14122927"

 
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