Together with Prof Haick group at the Technion Inst (Israel), our data shows that there is a relation between the VOCs patterns of NSCLC and control cell lines and equivalent states in exhaled breath. We demonstrated that there is a clear discrimination between the lung cancer and the healthy clusters. We also analyzed the headspace of NSCLC and SCLC cell lines and we could discriminate significantly between SCLC versus NSCLC based on their VOCs patterns. This analysis allowed us to identify the specific VOCs consumed or omitted by cancerous cells. This finding has clinical applications since SCLC is distinguished from NSCLC by its sensitivity to chemotherapy and radiotherapy and other characteristics. Therefore, a non-invasive and highly sensitive test would be extremely valuable for the classification and early screening of lung cancer and for targeted therapy.