MMP-16 as a New Biomarker for Predicting Prognosis and Chemosensitivity of Serous Ovarian Cancer: A Study Based on Bioinformatics Analysis.

ABSTRACT

OBJECTIVE: To explore the prognostic value of MMP-16 expression in patients with serous ovarian cancer and the usefulness of MMP-16 expression to predict sensitivity to chemoradiotherapy. METHODS: The relationship between MMP-16 expression and clinicopathological parameters of serous ovarian cancer was evaluated in The Cancer Genome Atlas (TCGA) database. Cox proportional hazard regression analysis was performed to measure the prognostic significance of MMP-16 in serous ovarian cancer. Dataset GSE51373 was applied to estimate the difference of MMP-16 expression between chemotherapy-sensitive group and resistant group of serous ovarian cancer. Receiver operating characteristic (ROC) curve was also drawn. In addition, the online tool Kaplan-Meier Plotter was used to assess the prognostic value of MMP-16 in patients with serous ovarian cancer. RESULTS: A total of 235 patients with serous ovarian cancer were included in the TCGA database. Cox regression univariate analysis showed that high expression of MMP-16 was not conducive to the overall survival of patients with serous ovarian cancer (hazard ratio [HR] = 1.47, 95% CI 1.03~2.08; P < 0.05). The results of Cox regression multivariate analysis also demonstrated that there was a statistically significant difference. The results of the online database Kaplan-Meier Plotter analysis showed that the high expression of MMP-16 was not conducive to the progression-free survival (PFS) of patients with serous ovarian cancer (HR = 1.26, 95% CI 1.06~1.29; P < 0.05). The expression of MMP-16 in the chemotherapy-sensitive group was notably lower than that in the chemotherapy-resistant group, which had a moderate predictive value in predicting the chemosensitivity of serous ovarian cancer (AUC = 0.7187). CONCLUSION: High expression of MMP-16 is not conducive to chemotherapy sensitivity and survival of patients with serous ovarian cancer, and has predictive value for chemotherapy resistance and prognosis.