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确定用于预测前列腺癌进展和生化复发的瘤不可知生物标志物

William Lautert-Dutra¹, Camila M Melo¹, Luiz P Chaves¹

¹Department of Genetics, Medical School of Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, Brazil.

Frontiers in oncology

|November 15, 2023

概括

来自乳腺癌研究的新基因特征可以预测前列腺癌的进展和复发. 这些生物标志物,包括ESR1和VCAN,为荷尔蒙耐药性疾病提供了潜在的治疗点.

科学领域:

在瘤学瘤学.
遗传学是一个遗传学.
生物标志物发现发现

背景情况:

前列腺癌表现出不同的临床结果,需要改进的生物标志物来预测疾病进展,特别是中等风险病例.
目前的RNA生物标志物测试显示出可变的成功,推动了对侵入性癌症进展的新型,通用基因签名的需求.
早期乳腺癌和前列腺癌之间的荷尔蒙依赖和BRCA突变的相似性表明它们具有共同的病理生物学.

研究的目的:

为了确定预测生化复发 (BCR) 和前列腺癌高风险疾病的新型基因特征.
为了验证乳腺癌衍生的基因特征和前列腺癌分层的途径的实用性.
探索雌激素受体 (ER) 信号在前列腺癌进展和激素耐药性疾病中的作用.

主要方法:

使用NanoString BC360面板对原发性前列腺癌队列 (n=53) 的回顾性分析,包括PAM50分类器和途径签名.
基于生化复发 (BCR) 状态和CAPRA-S得分的患者分层.
使用两个公开的前列腺癌队列 (TCGA-PRAD和GSE54460) 进行验证.

主要成果:

与BCR和高CAPRA-S得分相关的PIP和INHBA的表达;与BCR相关的VCAN,SFRP2和THBS4.
尽管ESR1基因水平较低,但ER信号特征的强烈表达表明ER介导的途径驱动BCR.
预测ESR1,PGR,VCAN和SFRP2表达的复发事件,与血管生成和上皮-介质细胞过渡通路有关.

结论:

乳腺癌衍生的基因特征有效地分类进行激进前列腺切除术的前列腺癌患者.
VCAN和SFRP2分别涉及瘤微环境重塑和降低生存率.
雌激素信号可能会作为AR信号的替代品在先进和荷尔蒙耐受性前列腺癌中,突出治疗潜力.

关键词:

卡普拉-S是为了在NanoString BC360中使用.它们是RNA生物标志物.这就是TCGA-PRADAD.生物化学复发的发生.基因签名基因签名基因签名

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