10062 Background: Patients centricity is relevant to garantee the best quality of life during diagnostic and therapeutic approaches. Therefore is essential to consider, besides the patient perception, the evaluation of unmet needs from caregivers, nurses and oncologists. The aim of this multicenter study was to determine these perceptions and to explore the predictive power of unmet needs on anxiety and depression. Methods: Using the Supportive Care Needs Survey (SCNS-SF34),1616 interviewes from lung cancer patients, caregivers, oncologists and nurses were collected to evaluate the perceived supportive care needs inherent to have lung cancer (LCN). Patients were also asked to complete the Hospital Anxiety and Depression Scale (HADS) and the Distress Thermometer (DT). To study the predictive power of LCN on anxiety and depression, a hierarchical binomial logistic regression (HBLR) was performed. Results: Overall, patients perceived that their supportive care needs have been met on average; item level analyses showed that specific needs of the Psychological and the Physical & Daily living domains were perceived as unmet, even with relevant frequencies when the intensity of the need was considered to be moderate or high. With regard to the between-groups differences, emerged that caregivers, oncologists and nurses significantly outscored patients in all the domains considered (with the exception of the Sexuality needs domain for caregivers). Having used the cut-off values for cancer populations, the 62.4% of e-Lung patients showed psychological distress, while the 45.0% reported anxiety and depression. HBLR showed satisfactory measures of model fit (Negelkerke R square2 = 0.458.) and identifyed the Psychological needs (OR = 1.133, χ2Wald(1) = 28.735, p< 0.001) and Health System (OR = 1.088, χ2Wald(1) = 6.395, p= 0.011) and Information needs domains as significant predictors. Conclusions: Findings from e-LUNG study confirm a significant link between LNC and anxiety and depression and suggest that these issues should be taken into account to provide a best Quality of Life for cancer patients.