A Predictive Model for Initial Platinum‐Based Chemotherapy Efficacy in Patients with Postoperative Epithelial Ovarian Cancer Using Tissue‐Derived Small Extracellular Vesicles

Abstract

Abstract Epithelial ovarian cancer (EOC) is an often‐fatal malignancy marked by the development of resistance to platinum‐based chemotherapy. Thus, accurate prediction of platinum drug efficacy is crucial for strategically selecting postoperative interventions to mitigate the risks associated with suboptimal therapeutic outcomes and adverse effects. Tissue‐derived extracellular vesicles (tsEVs), in contrast to their plasma counterparts, have emerged as a powerful tool for examining distinctive attributes of EOC tissues. In this study, 4D data‐independent acquisition (DIA) proteomic sequencing was performed on tsEVs obtained from 58 platinum‐sensitive and 30 platinum‐resistant patients with EOC. The analysis revealed a notable enrichment of differentially expressed proteins that were predominantly associated with immune‐related pathways. Moreover, pivotal immune‐related proteins (IRPs) were identified by LASSO regression. These factors, combined with clinical parameters selected through univariate logistic regression, were used for the construction of a model employing multivariate logistic regression. This model integrated three tsEV IRPs, CCR1, IGHV_35 and CD72, with one clinical parameter, the presence of postoperative residual lesions. Thus, this model could predict the efficacy of initial platinum‐based chemotherapy in patients with EOC post‐surgery, providing prognostic insights even before the initiation of chemotherapy.

Keywords

• epithelial ovarian cancer
• platinum‐based chemotherapy
• predictive model
• tissue‐derived small extracellular vesicles