Association between chemotherapy and disease-specific survival in women with borderline ovarian tumors: A SEER-based study

Develop a nomogram to predict overall survival of patients with borderline ovarian tumors

BACKGROUND

The prognosis of borderline ovarian tumors (BOTs) has been the concern of clinicians and patients. It is urgent to develop a model to predict the survival of patients with BOTs.

AIM

To construct a nomogram to predict the likelihood of overall survival (OS) in patients with BOTs.

METHODS

A total of 192 patients with histologically verified BOTs and 374 patients with epithelial ovarian cancer (EOC) were retrospectively investigated for clinical characteristics and survival outcomes. A 1:1 propensity score matching (PSM) analysis was performed to eliminate selection bias. Survival was analyzed by using the log-rank test and the restricted mean survival time (RMST). Next, univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors. In addition, a nomogram model was developed to predict the 1-, 3-, and 5-year overall survival of patients with BOTs. The predictive performance of the model was assessed by using the concordance index (C-index), calibration curves, and decision curve analysis (DCA).

RESULTS

For clinical data, there was no significant difference in body mass index, preoperative CA199 concentration, or tumor localization between the BOTs group and EOC group. Women with BOTs were significantly younger than those with EOC. There was a significant difference in menopausal status, parity, preoperative serum CA125 concentration, Federation International of gynecology and obstetrics (FIGO) stage, and whether patients accepted postoperative adjuvant therapy between the BOT and EOC group. After PSM, patients with BOTs had better overall survival than patients with EOC (P value = 0.0067); more importantly, the 5-year RMST of BOTs was longer than that of EOC (P value = 0.0002, 95%CI -1.137 to -0.263). Multivariate Cox regression analysis showed that diagnosed age and surgical type were independent risk factors for BOT patient OS (P value < 0.05). A nomogram was developed based on diagnosed age, preoperative serum CA125 and CA199 Levels, surgical type, FIGO stage, and tumor size. Moreover, the c-index (0.959, 95% confidence interval 0.8708–1.0472), calibration plot of 1-, 3-, and 5-year OS, and decision curve analysis indicated the accurate predictive ability of this model.

CONCLUSION

Patients with BOTs had a better prognosis than patients with EOC. The nomogram we constructed might be helpful for clinicians in personalized treatment planning and patient counseling.

Is cystectomy an option as conservative surgery for young patients with borderline ovarian tumor? A multi-institutional retrospective study

OBJECTIVE

To investigate the impact of cystectomy for borderline ovarian tumor (BOT) on tumor recurrence compared with salpingo-oophorectomy using inverse probability of treatment weighting (IPTW).

METHODS

A central pathologic review and a search of the medical records from 14 collaborating institutions from 1986 to 2017 identified 4708 women with a malignant ovarian neoplasm. Data for young women with Stage I BOT were extracted. To compare recurrence-free survival between the surgery groups, Cox regression analyses and the IPTW-adjusted Kaplan-Meier method were employed.

RESULTS

During a median follow-up of 62.0 (1.2-270.4) months, 10 of the 285 patients identified (3.5%) developed recurrence. In multivariate analysis, the practice of cystectomy was not a significant prognostic indicator of recurrence-free survival (hazard ratio [95% confidence interval] 1.276 [0.150-10.864]; P = 0.823). In the IPTW-adjusted cohort, the 5-year recurrence-free survival rates were 95.8% and 96.0% in patients receiving cystectomy and salpingo-oophorectomy, respectively (P = 0.378).

CONCLUSION

If patients are selected appropriately, cystectomy in itself may not increase tumor recurrence in young women with early-stage BOT. A large-scale prospective clinical study is necessary to validate this finding.