瘤进化指标预测局部晚期前列腺癌在10年后复发
Javier Fernandez-Mateos1, George D Cresswell1,2, Nicholas Trahearn1
1Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Nature cancer
|July 12, 2024
概括
癌症演变影响前列腺癌复发. 结合基因组学和人工智能辅助病理学,揭示了用于预测患者结果和指导治疗策略的新生物标志物.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 计算病理学计算病理学
背景情况:
- 癌症演变是预测瘤学结果的关键.
- 来自临床试验的定量测量是需要测试进化指标的.
研究的目的:
- 在前列腺癌中绘制基因组和形态异质性的地图.
- 为了确定进化生物标志物来预测复发.
主要方法:
- 分析了来自114名本地晚期前列腺癌患者的642个基因组样本.
- 在1923个组织学部分上使用深度学习来评估形态异质性.
- 相关的遗传多样性,形态多样性 (格里森等级) 和复发风险的克隆空间分离.
主要成果:
- 遗传和形态多样性独立地预测了复发.
- 综合指标确定了一个子组,其复发的中位时间减少了一半.
- 空间克隆分离是复发的独立标志物.
- 染色体6p损失与免疫透率降低相关.
结论:
- 结合基因组学和人工智能辅助的组织病理学,确定了癌症演变的临床生物标志物.
- 基因组不稳定导致前列腺癌的进展.
- 这些进化生物标志物可以改善预测性瘤学.
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