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循环的小细胞外囊泡微RNA加CA-125用于治疗晚期卵巢癌的分层

Xiaofang Zhou^1,2, Mu Liu¹, Lijuan Sun³

¹Department of Gynecologic Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, People's Republic of China.

Journal of translational medicine

|December 22, 2023

概括

这项研究引入了一种针对晚期卵巢癌 (AOC) 的新型非侵入性测试,该测试可以预测手术后的残留疾病. 该测试结合了循环的小细胞外囊 (sEV) 衍生微RNA和CA-125,改善了AOC患者的手术规划.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
生物标志物生物标志物

背景情况:

完整的瘤切除 (R0切除) 对晚期卵巢癌 (AOC) 的预后至关重要.
目前用于AOC手术规划的预测模型不足.
需要准确的方法来为AOC患者选择最佳的外科手术策略.

研究的目的:

发现和验证一种非侵入性预测模型,用于晚期卵巢癌 (AOC) 患者的残留疾病.
识别与R0切除相关的循环小细胞外囊泡 (sEVs) 中的microRNA (miRNA) 配置文件.
开发一种综合风险模型,用于预测AOC中的R0切除.

主要方法:

循环小细胞外囊泡 (sEV) 的RNA测序,以识别AOC患者中差异表达的miRNA.
TaqMan qRT-PCR验证了血miRNA的表达.
开发基于后勤回归的风险预测模型,使用360名AOC患者的发现和验证集.

主要成果:

开发了一种风险预测模型,结合了4种血sEV衍生的miRNA和CA-125,在预测R0切除方面表现出高准确度 (AUC:0.903).
与单独使用CA-125或4-miRNA相比,组合模型显著提高了预测能力 (NRI=0.471,IDI=0.538).
该模型显示出出色的性能指标:灵敏度为0.897,特异性为0.910,PPV为0.926和NPV为0.871.

结论:

通过循环sEV衍生的4-miRNAs和CA-125建立了一种可靠的非侵入性检测方法.
这种方法可以在手术前识别具有残留疾病的高风险AOC患者.
这些发现有助于优化AOC患者的临床治疗选择.

关键词:

卵巢癌是发生在卵巢中的癌症.预测模型的预测模型.剩余疾病残留的疾病.小小的细胞外囊泡.这是一个微型RNA.

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MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...