一个基于深度学习的多模式临床-组织学-基因组预后模型,用于前列腺癌
Xinyuan Wu1,2, Manli Zhou3, Bowen Zheng4
1The First Clinical Medical College of Southern Medical University, Guangzhou, Guangdong, China.
Annals of surgical oncology
|December 28, 2025
概括
一个新的深度学习模型整合了瘤成像和临床数据来预测前列腺癌的结果,比目前的方法更改了风险分层. 这种方法通过在没有基因组测试的情况下准确评估患者的预后来增强个性化治疗策略.
科学领域:
- 在瘤学瘤学.
- 计算病理学计算病理学
- 生物信息学是一种生物信息学.
背景情况:
- 前列腺癌是癌症死亡的主要原因.
- 目前的风险分层系统缺乏整合多维瘤特征.
- 需要改进预后模型,以实现个性化的治疗决策.
研究的目的:
- 开发基于深度学习的前列腺癌多式预后模型.
- 整合基因组签名,全幻灯片成像 (WSI) 组织形态特征和临床参数.
- 提高前列腺癌患者的风险分层和治疗决策.
主要方法:
- 开发了一个深度学习框架,使用癌症基因组图集 (TCGA) 进行培训,并使用前列腺,肺,结直肠和卵巢 (PLCO) 试验进行验证.
- 该模型从H&E染色的WSIs中提取了他的病理特征,预测了基因组和他的病理学得分,并使用Cox回归将其与临床变量集成在一起.
- 使用卡普兰-梅尔分析,哈雷尔一致性指数和多变量考克斯回归来评估性能.
主要成果:
- 多模式预后得分表现出比单模式得分和NCCN风险分层 (C指数:0.706-0.746,p <0.05) 更高的准确性 (C指数:0.774).
- 通过该模型识别的高风险患者的无进展间隔显著缩短,前列腺癌特异性死亡率增加.
- 亚组分析显示,NCCN高风险患者的生存轨迹不同,基因组丰富与瘤途径相关得分.
结论:
- 整合模型从基因组病理学中计算推断基因组特征,减少对基因组测试的依赖.
- 这种方法显著提高了预后准确性,并对异质患者群体进行了分层.
- 预后得分通过完善NCCN分类提供了个性化风险评估和优化治疗策略的临床潜力.
相关概念视频
02:43Mouse Models of Cancer Study
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
02:43Mouse Models of Cancer Study
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
01:21Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...