Abstract
PURPOSE: Recent studies have revealed that primary tumor resection (PTR) surgery could improve prognosis in some solid tumors. Thus, we aimed to investigate whether patients with stage IVB cervical carcinoma can benefit from PTR surgery and who can benefit. METHODS: We extracted and obtained data on patients with stage IVB cervical carcinoma from the SEER database from 2010 to 2017 and classified them into two groups: the surgery and the non-surgery group. The overall survival (OS) and cancer-specific survival (CSS) of the two groups were compared before and after propensity score matching (PSM). The independent prognostic variables were identified using univariate and multivariate Cox regression analyses. Then, the model was established to select the optimal patients to receive PTR surgery using multivariate logistic regression. RESULTS: After PSM, the study included 476 cervical carcinoma (stage IVB) patients, of whom 238 underwent PTR surgery. Compared to the non-surgery group, the surgery group's median OS and median CSS were both longer (median OS: 27 months vs. 13 months, P < 0.001; median CSS: 52 months vs. 21 months, P < 0.001). The model showed no organ metastasis, adenocarcinoma, G1/2, and chemotherapy were more supportive of performing PTR surgery. The calibration curves and DCA showed that the model had high predictive accuracy and excellent clinical applicability. Finally, the "surgery benefit" group had the OS that was approximately four times better than "surgery non-benefit" group. CONCLUSION: PTR surgery can potentially improve the prognosis of patients with cervical carcinoma at stage IVB. The model could probably select optimal candidates and provide a new perspective on individualized treatment.