使用预后特征和机器学习来识别与转移性乳腺癌中基于CDK4/6抑制剂的治疗反应相关的核心特征
Agnieszka K Witkiewicz1,2, Jianxin Wang3, Emily Schultz3
1Department of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, Elm and Carlton Street, Buffalo, NY, 14263, USA. agnieszka.witkiewicz@roswellpark.org.
Oncogene
|February 26, 2025
概括
标准治疗的CDK4/6抑制剂加上内分泌治疗可以改善转移性乳腺癌的无进展生存期 (PFS). 现实世界的数据确定了预测PFS的临床和基因表达因素,有助于治疗决策.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 临床研究 临床研究
背景情况:
- 结合内分泌治疗的CDK4/6抑制剂是HR+/HER2-转移性乳腺癌的标准.
- 这种组合比单独的内分泌治疗改善了无进展生存率 (PFS).
研究的目的:
- 在接受CDK4/6抑制剂联合治疗的患者中确定PFS的临床和基因表达决定因素.
- 开发一个预测模型,使用现实世界的数据来预测时间的进展.
主要方法:
- 来自300多名患者的临床,病理和基因表达数据的分析.
- 利用随机生存森林来识别关键预测特征并构建模型.
- 检查了与治疗反应相关的基因表达特征.
主要成果:
- 内脏疾病,先前的内分泌治疗和内分泌治疗类型与PFS有显著的关联.
- 对进展时间的预测模型显示与已建立的临床试验数据存在相关性.
- 确定了参与细胞周期和雌激素受体信号传递的关键基因网络.
结论:
- 现实世界的数据显示,临床和基因组因素影响PFS与CDK4/6抑制剂治疗.
- 这些发现可以为预测模型的开发提供信息,以更好地估计进展时间.
- 了解这些决定因素可能会优化转移性乳腺癌的治疗策略.
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