基于图像的药物查与分子分析结合,识别了儿童AML治疗耐药性的特征和驱动因素
Ben Haladik1, Margarita Maurer-Granofszky2, Peter Zoescher2
1St. Anna Children's Cancer Research Institute, Vienna, Austria; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Cell reports. Medicine
|August 21, 2025
概括
这项研究引入了儿童急性髓性白血病 (pedAML) 的功能查平台,以预测治疗反应和患者的风险. 这些发现突出了关键的药物敏感性,并确定了抗癌状态的新疗法目标.
科学领域:
- 癌症学
- 基因组学
- 生物信息学
背景情况:
- 儿童急性髓性白血病 (pedAML) 的理解有所进步,但针对性的治疗方法和基因型与结果的联系仍然有限.
- 功能精确医学尚未系统地应用于pedAML治疗耐药性和风险评估.
研究的目的:
- 开发和应用一个针对pedAML的高级功能查平台.
- 确定化学敏感性的关键驱动因素并预测患者的风险.
- 发现耐药性pedAML状态的治疗漏洞.
主要方法:
- 使用高内容成像和基于深度学习的表型.
- 在45名小儿AML患者的样本上进行了功能查.
- 综合了基因组,表观基因组和药物敏感性数据.
主要成果:
- 与标准化疗一起,BCL2和FLT3抑制剂被确定为化学敏感性的主要驱动因素.
- 在风险组之间观察到药物敏感性的显著差异.
- 该平台有效预测可测量的残留疾病和患者风险.
- 鉴定出一种耐化疗状态,易受BCL2,MDM2和HDAC联合抑制.
结论:
- 在基因子组中发现了pedAML治疗耐药性的早期标志.
- 针对功能和表观遗传定义的患者小组优先进行向治疗.
- 这种方法有助于推进pedAML的功能精密医学.
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