Purpose: The aim of this study was to investigate the impact of quality of sleep and resilience on the quality of life of patients with cancer. Methods: Data were collected from September to November, 2023, through questionnaires distributed to 158 patients with cancer. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, pearson’s correlation coefficient, and stepwise multiple regression analysis using SPSS/WINdows version 27.0. Results: Quality of life was significantly correlated with resilience (r=.52, p<.001) and quality of sleep (r=-.38, p<.001). The stepwise multiple regression analysis, used to determine the variables affecting patients’ quality of life, resulted in a significant regression model (F=44.95, p<.001), that accounted for approximately 45.6% of the explanatory power. Resilience (β=.48, p<.001), quality of sleep (β=-.34, p<.001) and recurrence (β=.25, p<.001) were revealed to affect quality of life. Conclusion: The results of this study confirmed that cancer patients' quality of sleep, resilience, and recurrence in patients with cancer affected quality of life. Based on the results of this study, tspecific nursing intervention strategies can be developed and applied to improve the quality of life of patients with cancer.