Abstract: Objective To investigate the current status of supportive care needs for lung cancer patients during hospitalization. Methods From July 2017 to March 2018, 178 lung cancer patients in the oncology wards and thoracic surgical diseases at three hospitals in Shanghai were selected by convenient sampling method. A total of 178 lung cancer patients were investigated with Supportive Care Needs Survey (SCNS-SF34), Hospital Anxiety and Depression Scale (HADS), MD Anderson Symptom Inventory (MDASI) and self-made general demographic disease-related medical data. Results The lung cancer patients all reported moderate to high level supportive care needs. The unmet needs were based on the health system information dimension and psychological dimension. The symptom scores of lung cancer patients were positively correlated with 5 dimensions of supportive care needs. Anxiety, depression and supportive care needs were positively correlated. Symptom scores were the common influencing factors of the five dimensions. Cancer stage, disease month, and family monthly income entered into the regression model of psychological dimension. Anxiety score, treatment method, and age entered the regression model of physiological and daily life dimensions. Treatment method and education level entered into the regression model of health system information dimension. Treatment method, family monthly income, disease course and cancer stage entered into the regression model of patient care and support dimension. Total score of depression, and age were included in the regression model of the sexual dimension. Conclusion Somatic symptoms, anxiety and depression were factors that affecting the lung cancer patients' needs. In the future, it is necessary to make a good assessment of symptoms and psychological state, to provide symptom management and psychosocial support to meet the supportive care needs of lung cancer patients and to improve their quality of life.