A joint model based on longitudinal CA125 in ovarian cancer to predict recurrence

作者：Chang, Chung; Chiang, An Jen; Chen, Wei-An; Chang, Hsueh-Wen; Chen, Jiabin^*

来源：Biomarkers in Medicine, 2016, 10(1): 53-61.

DOI：10.2217/bmm.15.110

• joint model
• longitudinal CA125
• ovarian cancer
• recurrence

Aims: To develop a new package of joint model to fit longitudinal CA125 in epithelial ovarian cancer relapse. Patients & methods: Included were 305 epithelial ovarian cancer patients who reached complete remission after cytoreductive surgery and first-line chemotherapy. Univariate and multivariate analysis with a joint model was performed to select independent risk factors, which were subsequently combined to predict recurrence. Results: Independent factors were longitudinal CA125, age, stage and residual tumor size (p < 0.05). Prediction of recurrence with these factors had an average of 80.7% accuracy, 5.6-10.7% better than kinetic factors. Conclusion: The new package of joint model fits longitudinal CA125 well. Potential application can be extended to other biomarkers.

• 出版日期2016
• 单位中山大学