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在癌症管理中实施全基因组测序:使用系统动态进行建模和灵敏度分析

Hadi Akbarzadeh Khorshidi^1,2,3,4, Marzieh Soltanolkottabi⁵, Maarten J IJzerman^6,7,8

¹Cancer Health Services Research, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia. hadi.khorshidi@unimelb.edu.au.

Discover oncology

|September 24, 2025

概括

在癌症护理中实施全基因组测序 (WGS) 增加了被诊断的患者,但也增加了成本. 投资降低WGS成本和支持性报销政策对于可访问性和经济可行性至关重要.

科学领域:

基因组医学是基因组医学.
卫生系统研究卫生系统研究
在瘤学瘤学.

背景情况:

精确瘤学依赖于生物标志物和基因组测试,以进行个性化癌症诊断和治疗.
与全基因组测序 (WGS) 相比,护理标准测试提供了有限的信息.
虽然WGS提供了大量可操作突变的数据,但它在成本和容量方面面临着挑战.

研究的目的:

通过使用系统动力学 (SD) 模型,评估在癌症护理中全基因组测序 (WGS) 的实施.
对WGS实施场景进行敏感性分析,以告知决策.
根据患者诊断数量和系统成本,比较不同的基因组测试场景.

主要方法:

开发和应用一个系统动力学 (SD) 模型来模拟WGS实现.
通过改变WGS参考系统,容量,价格,意愿率和测试时间来分析各种场景.
敏感性分析,以评估不同参数对WGS采用和结果的影响.

主要成果:

增加WGS转诊增加了30%的确诊癌症患者,但由于高WGS费用,系统成本增加了20%.
该研究强调了诊断产量增加和与WGS相关的财务负担之间的权衡.
系统动力学建模为理解影响WGS实施因素的复杂相互作用提供了一个框架.

结论:

投资策略的重点是降低WGS成本并建立有利的偿还政策,这对于更广泛的采用至关重要.
优化WGS实施需要仔细考虑系统动态,包括容量,成本和患者转诊途径.
开发的SD模型是政策制定者导航WGS整合到癌症护理途径的复杂性的一个有价值的工具.

关键词:

卫生政策卫生政策精确瘤学是一门精确的专业.灵敏度分析是一种灵敏度分析.系统动态系统动态整个基因组的测序.

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