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在基斯普拉丁基化疗后,预测丸癌患者的听力损失
Sara L Garcia1,2, Jakob Lauritsen3, Bernadette K Christiansen1
1Department of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
Cancers
|August 12, 2023
概括
这项研究使用临床和遗传数据识别了化学疗法引起的听力损失高风险的患者. 机器学习模型可以帮助预测和预防丸癌幸存者的这种常见副作用.
科学领域:
- 在瘤学瘤学.
- 遗传学 遗传学 是一个
- 耳毒性研究研究
背景情况:
- 丸癌的化疗会导致影响生活质量的长期副作用.
- 听力损失 (耳毒性) 是一种显著的,但经常被忽视的,化疗副作用.
研究的目的:
- 在丸癌患者中开发化疗诱导的听力损失的预测模型.
- 确定与听力损失风险相关的临床和遗传因素.
- 探索西斯胺诱导的耳毒性潜在的生物机制.
主要方法:
- 利用了丹麦丸癌 (DaTeCa) -Late数据库中的433名患者的临床和遗传数据.
- 采用机器学习,特别是逻辑回归与嵌套交叉验证和全基因组关联研究.
- 使用FACT/GOG-Ntx-11版本4自我报告尺度对听力损失进行分类.
主要成果:
- 一个结合的临床和遗传模型确定了67%的听力损失患者 (49%的错误发现率) 和66%的未受影响患者 (19%的错误遗漏率).
- 该模型实现了0.73的ROC-AUC,超过了仅用于临床的模型 (ROC-AUC0.66).
- 鉴定出SOD2和MGST3基因可能有助于改善听力损失的预测.
结论:
- 综合临床和遗传数据的预测模型显示,早期检测和预防丸癌幸存者的听力损失是有前途的.
- 鉴定的基因和拟议的机制需要在更大的队列中进行进一步的研究.
- 这些模型可以帮助在临床实践中平衡治疗风险和益处.
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