People with advanced lung cancer experience later symptoms after treatment that is related to poorer psychosocial and quality of life (QOL) outcomes. The purpose of this study was to identify the effect of symptom clusters and depression on the QOL of patients with advanced lung cancer. A sample of 178 patients with advanced lung cancer at the National Cancer Center in Korea completed a demographic questionnaire, the M.D. Anderson Symptom Inventory–Lung Cancer, the Center for Epidemiological Studies Depression Scale, and the Functional Assessment of Cancer Therapy–General scale. The most frequently experienced symptom was fatigue, anguish was the most severe symptom‐associated distress, and 28.9% of participants were clinically depressed. Factor analysis was used to identify symptom clusters based on the severity of patients' symptom experiences. Three symptom clusters were identified: treatment‐associated, lung cancer and psychological symptom clusters. The regression model found a significant negative impact on QOL for depression and lung cancer symptom cluster. Age as the control variable was found to be significant impact on QOL. Therefore, psychological screening and appropriate intervention is an essential part of advanced cancer care. Both pharmacological and non‐pharmacological approaches for alleviating depression may help to improve the QOL of lung cancer patients.

Hepatocellular carcinoma (HCC) is the fifth most common malignancy worldwide, causing about 1 million deaths annually. Patients with HCC usually reported multiple concurrent symptoms. The purpose of this multivariate study was to explore whether multiple concurrent symptoms are clustered into groups of symptoms and to explore the effect of symptom clusters on the quality of life (QOL) in patients with HCC. A sample of 180 patients with HCC at a medical center in Korea was recruited. Patients completed a demographic questionnaire, a Symptom Checklist, the Hospital Anxiety and Depression Scale, and the Functional Assessment of Cancer Therapy-Hepatobiliary. Factor analysis was used to identify symptom clusters based on the severity of patients' symptom experiences. Four symptom clusters were identified: pain-appetite, fatigue related, gastrointestinal, and itching-constipation. Two patient subgroups were identified through cluster analysis: high- and low-symptom group. Patients in the high-symptom group had significantly poorer functional status and poorer QOL in all the domains, with the exception of social well-being. The differences between the 2 patient subgroups were not only statistically but also clinically significant. Patients in the high-symptom group were also statistically and clinically anxious and depressed. Further research is needed to explore whether compositions of symptom cluster phenotypes vary over time and whether the associations of symptom clusters with QOL and mood are changing along the disease and treatment trajectory as well as symptom status.