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Development and validation of a microRNA-based signature (MiROvaR) to predict early relapse or progression of epithelial ovarian cancer: a cohort study

机译:一项基于microRNA的签名(MiROvaR)的开发和验证,以预测卵巢上皮癌的早期复发或进展:一项队列研究

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摘要

Background Risk of relapse or progression remains high in the treatment of most patients with epithelial ovarian cancer, and development of a molecular predictor could be a valuable tool for stratification of patients by risk. We aimed to develop a microRNA (miRNA)-based molecular classifier that can predict risk of progression or relapse in patients with epithelial ovarian cancer.
机译:背景技术在大多数上皮性卵巢癌患者的治疗中,复发或进展的风险仍然很高,分子预测因子的开发可能是按风险对患者进行分层的有价值的工具。我们旨在开发一种基于microRNA(miRNA)的分子分类器,该分类器可以预测上皮性卵巢癌患者进展或复发的风险。

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