Clinical significance for combined coagulation indexes in epithelial ovarian cancer prognosis

· 2021-08-17

Abstract

Background

Increasing evidence supported an association between cancer and coagulation system. We aimed to identify prognostic values of coagulation biomarkers in epithelial ovarian cancer (EOC).

Methods

A retrospective study was conducted on patients who underwent optimal tumor debulking followed by platinum-based chemotherapy at our institution. The predictive value of coagulation variables was evaluated by receiver operating characteristic (ROC) curves. Through Cox hazards regression models, prognostic factors were determined for recurrence-free survival (RFS) and overall survival (OS). Survival curves were visualized by Kaplan–Meier method and compared through Log-rank analysis.

Results

We involved 482 EOC patients and followed up for 64 (range, 36–87) months. According to ROC curves, D-dimer and International normalized ratio (INR) had superior predictive value than other coagulation indexes, with area under curve (AUC) of 0.758 and 0.742. Patients were then stratified into three combined D-dimer and INR (DD-INR) groups based on the cut-off value of 0.97 mg/L and 0.86, respectively. Through regression analysis, we demonstrated that age (HR 1.273; 95%CI 1.048–2.047;p = 0.045), pathological grade (HR 1.419; 95% CI 1.102–2.491;p = 0.032), clinical stage (HR 2.038; 95%CI 1.284–3.768;p = 0.008), CA-125 (HR 1.426; 95%CI 1.103–1.894;p = 0.038) and DD-INR (HR 2.412; 95%CI 1.683–3.241;p = 0.009) were independent prognostic factors. Survival analysis showed that patients with higher DD-INR experienced poor survival (p = 0.0013 for RFS andp = 0.0068 for OS). Further subgroup analysis revealed that evaluated DD-INR was significantly associated with poor survival among patients with advanced stage (p = 0.0028 for RFS andp = 0.0180 for OS).

Conclusion

Our findings suggested that coagulation indexes, especially the combined DD-INR were promising biomarkers for prognosis stratification in EOC patients, especially those with advanced clinical stages.

Funding

National Natural Science Foundation of China

81572560

National Natural Science Foundation of China

82072866