Benefit of Uracil-Tegafur Used as a Postoperative Adjuvant Chemotherapy for Stage IIA Colon Cancer.
Po-Huang ChenHong-Jie JhouChi-Hsiang ChungYi-Ying WuTzu-Chuan HuangCho-Hao LeeWu-Chien ChienJia-Hong ChenPublished in: Medicina (Kaunas, Lithuania) (2022)
Background and Objectives : Postoperative adjuvant therapy with uracil and tegafur (UFT) is often used for stage II colon cancer in Japan, but a limited number of studies have investigated the effects of UFT in these patients. Materials and Methods : We conducted a population-based cohort study in patients with resected stage II colon cancer comparing the outcomes after postoperative adjuvant chemotherapy with UFT with an observation-only group. The data were collected from the Taiwan National Health Insurance Research Database from 2000 to 2015. The outcomes of the study were disease-free survival (DFS) and overall survival (OS). The hazard ratios (HRs) were calculated using multivariate Cox proportional hazard regression models. Results: No differences in the DFS and OS were detected between the UFT (1137 patients) and observation (2779 patients) cohorts (DFS: adjusted HR 0.702; 95% confidence interval (CI) 0.489-1.024; p = 0.074) (OS: adjusted HR 0.894; 95% CI 0.542-1.186; p = 0.477). In the subgroup analyses of the different substages, UFT prolonged DFS in patients with stage IIA colon cancer (adjusted HR 0.652; 95% CI 0.352-0.951; p = 0.001) compared with DFS in the observation cohort, but no differences in the OS were detected (adjusted HR 0.734; 95% CI 0.475-1.093; p = 0.503). Conclusions: Our results show that DFS improved significantly in patients with stage IIA colon cancer receiving UFT as a postoperative adjuvant chemotherapy compared with DFS in the observation group.
Keyphrases
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- health insurance
- patients undergoing
- peritoneal dialysis
- prognostic factors
- free survival
- emergency department
- randomized controlled trial
- clinical trial
- high resolution
- machine learning
- weight loss
- insulin resistance
- big data
- quality improvement
- electronic health record
- high speed
- glycemic control