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在原发性前列腺癌中转录的miRNA和mRNA特征与淋巴结入侵有关
Matias A Bustos1, Kelly K Chong1, Yoko Koh1,2
1Department of Translational Molecular Medicine, Saint John's Cancer Institute (SJCI) at Providence Saint John's Health Center (SJHC), Santa Monica, California, USA.
Clinical and translational medicine
|April 12, 2025
概括
在前列腺癌 (PCa) 瘤中,新的微RNA (miR) 和信使RNA (mRNA) 签名可以帮助识别淋巴结转移 (LNM). 将这些特征与前列腺特异性抗原 (PSA) 水平相结合,可以改善PCa患者的手术决策.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物标志物发现发现
背景情况:
- 目前的前列腺癌 (PCa) 诺图导致大约80%的患者不必要地延长盆腔淋巴结解剖 (ePLND).
- 识别淋巴结转移 (LNM) 对于PCa的治疗决定至关重要.
- 需要更准确的方法来预测PCa患者的LNM.
研究的目的:
- 在与LNM相关的初级PCa瘤中识别转录的mRNA和microRNA (miR) 签名.
- 开发一种更精确的方法来预测PCa中的LNM.
- 在PCa患者中潜在地减少不必要的ePLND.
主要方法:
- 下一代测序用于在88个初级PCa瘤 (pN0和pN1) 中分析mRNA和miR.
- 对HTP和WTA数据集进行了生物信息分析.
- 外部数据集 (TCGA-PRAD和GSE220095) 用于验证识别的签名.
主要成果:
- 一个四个mRNA签名 (CHRNA2,NPR3,VGLL3,PAH) 在pN1 PCa.中被识别和验证.
- 在pN1 PCa.中,一个八米R签名得到了显著的升级.
- 将四个mRNA特征与血清PSA水平相结合,提高了LNM检测准确度 (AUC>0.7150).
- 将八米R特征与PSA或等级组相结合也提高了检测准确度 (AUC>0.8626).
- 与PSA结合的miR/mRNA签名 (miR-663b,CHRNA2,PAH) 在区分pN1和pN0PCa方面表现最好.
结论:
- 初级PCa瘤中的新型miR和mRNA特征与LNM有关.
- 这些特征,特别是与血清PSA水平相结合时,显示出增强LNM检测当前名录的潜力.
- 这种方法可能有助于更好的患者分拣和PCa.手术决策.
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