| Title: | VOCs from Exhaled Breath for the Diagnosis of Hepatocellular Carcinoma |
| Author(s): | Sukaram T; Apiparakoon T; Tiyarattanachai T; Ariyaskul D; Kulkraisri K; Marukatat S; Rerknimitr R; Chaiteerakij R; |
| Address: | "Program in Medical Sciences, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand. Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand. Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand. Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand. Image Processing and Understanding Team, Artificial Intelligence Research Group, National Electronics and Computer Technology Center (NECTEC), Pathum Thani 12120, Thailand. Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand" |
| DOI: | 10.3390/diagnostics13020257 |
| ISSN/ISBN: | 2075-4418 (Print) 2075-4418 (Electronic) 2075-4418 (Linking) |
| Abstract: | "BACKGROUND: Volatile organic compound (VOC) profiles as biomarkers for hepatocellular carcinoma (HCC) are understudied. We aimed to identify VOCs from the exhaled breath for HCC diagnosis and compare the performance of VOCs to alpha-fetoprotein (AFP). The performance of VOCs for predicting treatment response and the association between VOCs level and survival of HCC patients were also determined. METHODS: VOCs from 124 HCC patients and 219 controls were identified using the XGBoost algorithm. ROC analysis was used to determine VOCs performance in differentiating HCC patients from controls and in discriminating treatment responders from non-responders. The association between VOCs and the survival of HCC patients was analyzed using Cox proportional hazard analysis. RESULTS: The combination of 9 VOCs yielded 70.0% sensitivity, 88.6% specificity, and 75.0% accuracy for HCC diagnosis. When differentiating early HCC from cirrhotic patients, acetone dimer had a significantly higher AUC than AFP, i.e., 0.775 vs. 0.714, respectively, p = 0.001. Acetone dimer classified HCC patients into treatment responders and non-responders, with 95.7% sensitivity, 73.3% specificity, and 86.8% accuracy. Isopropyl alcohol was independently associated with the survival of HCC patients, with an adjusted hazard ratio of 7.23 (95%CI: 1.36-38.54), p = 0.020. CONCLUSIONS: Analysis of VOCs is a feasible noninvasive test for diagnosing and monitoring HCC treatment response" |
| Keywords: | Field Asymmetric Ion Mobility Spectrometry (FAIMS) biomarkers breath samples cancer diagnosis machine learning volatile organic compounds (VOCs); |
| Notes: | "PubMed-not-MEDLINESukaram, Thanikan Apiparakoon, Terapap Tiyarattanachai, Thodsawit Ariyaskul, Darlene Kulkraisri, Kittipat Marukatat, Sanparith Rerknimitr, Rungsun Chaiteerakij, Roongruedee eng The Second Century Fund (C2F), Chulalongkorn University/ N42A640330/National Research Council of Thailand (NRCT)/ Switzerland 2023/01/22 Diagnostics (Basel). 2023 Jan 10; 13(2):257. doi: 10.3390/diagnostics13020257" |
