Plasma small extracellular vesicles microRNAs profile in advanced ovarian cancer

No residual disease after debulking Surgery (R0 resection) is the most critical independent prognostic factor for advanced ovarian cancer (AOC). Therefore, it is of paramount importance to preoperative estimate the likelihood of R0 resection for choosing the best therapeutic strategy. Our study aimed to develop a non-invasive and reliable detection method for AOC patients with a high risk of residual disease. An integrated plasma small extracellular vesicles (sEVs) microRNA profiling was generated by RNA sequencing in AOC patients with no residual disease patients (R0) and residual disease(non-R0). We identified and validated a logistic model based on plasma sEVs miRNAs to predict residual disease in AOC patients. Overall design: Plasma small extracellular vesicles microRNAs profile of advanced ovarian cancer patients with residual disease (non-R0=14) or no residual disease (R0=11)

减瘤术后无残留病灶（R0切除术）是晚期卵巢癌（advanced ovarian cancer, AOC）最重要的独立预后因素。因此，术前评估实现R0切除术的可能性，对于遴选最佳治疗策略至关重要。本研究旨在为存在高残留病灶风险的晚期卵巢癌患者开发一种无创且可靠的检测方法。本研究通过RNA测序，构建了无残留病灶（R0组）与存在残留病灶（非R0组）晚期卵巢癌患者的血浆小细胞外囊泡（small extracellular vesicles, sEVs）微小RNA（microRNA, miRNA）整合谱。本研究鉴定并验证了一种基于血浆sEVs miRNA的logistic回归模型，用于预测晚期卵巢癌患者的残留病灶风险。整体实验设计：针对存在残留病灶（非R0=14）或无残留病灶（R0=11）的晚期卵巢癌患者，分析其血浆小细胞外囊泡microRNA谱