Volatile Organic Compounds (Vocs) From Exhaled Breath For Lung Cancer Staging Using Td-Gc-Ms

Background: Breath analysis is a promising noninvasive screening technique that offers a wide range of probable possibilities to facilitate early diagnosis of lung cancer (LC). Method: Exhaled breath samples of 352 subjects were analyzed to detect C6∼C30 VOCs through thermal desorption coupled with gas chromatography-mass spectrometry (TD-GC-MS). Data were divided into three categories Lung Cancer (LC), Benign Pulmonary Disease (BPD) and Healthy control (HC). Statistical classification models were used to analyze VOCs to distinguish between HC, BPD and LC patient9s early and advanced stages. Receiver operator characteristics (ROC) curves were used to select different VOCs to evaluate the accuracy, specificity, and sensitivity of the diagnostic model. Results: The analysis resulted that 10,9,11 and 10 VOCs have a significant correlation to discriminate Histology, stage, BPD from LC and HC from LC. The diagnostic model predicted accuracy, sensitivity, and specificity of NSCLC vs. SCLC is 92%, 96% and 90% with area under curve AUC>0.913. As of ROC curve with AUC>0.819 has distinguished Stage I-II vs. stage III-IV with accuracy, sensitivity, and specificity 72%, 84%, and 80%. Whereas the ROC curve with AUC>0.795 has distinguished BPD from LC with accuracy, sensitivity, and specificity 83%, 89%, and 84%. While ROC curve with AUC>0.945, accuracy, sensitivity and specificity 92%, 96%, and 90% have distinguished HC from LC. Conclusion: This study confirms that TD GC-MS is a sensitive and dependable method to distinguish the VOCs in exhaled breath. We have witnessed significant differences in breath of BPD, HC and LC subjects. Where 10,8,11 and 10 VOCs have distinguished between early from the advance stage, NSCLC from SCLC, BPD from LC and HC from LC. These VOCs has the potential to help improve LC diagnosis and prognosis. However, with the expansion of multi centers to other regions could result in more vital findings and will help improve breath analysis and the diagnosis standard. Keywords:Breath Analysis, VOC markers, lung cancer, TD-GC-MS. Citation Format: Kanhar Ghulam Muhammad, Channa Madeeha, Fu Wei, Xu Lin Xin, Yanjie Hu, Kejing Ying, Jun Liu, Xing Chen. Volatile organic compounds (VOCs) from exhaled Breath for lung cancer Staging using TD-GC-MS [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 744.