Roth Joshua A, Billings Paul, Ramsey Scott D, Dumanois Robert, Carlson Josh J
Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; Group Health Research Institute, Group Health, Seattle, Washington, USA; Life Technologies Corporation, Carlsbad, California, USA; Department of Pharmacy, University of Washington, Seattle, Washington, USA.
Oncologist. 2014 May;19(5):466-76. doi: 10.1634/theoncologist.2013-0357. Epub 2014 Apr 7.
Life Technologies has developed a 14-gene molecular assay that provides information about the risk of death in early stage non-squamous non-small cell lung cancer patients after surgery. The assay can be used to identify patients at highest risk of mortality, informing subsequent treatments. The objective of this study was to evaluate the cost-effectiveness of this novel assay. Patients and Methods. We developed a Markov model to estimate life expectancy, quality-adjusted life years (QALYs), and costs for testing versus standard care. Risk-group classification was based on assay-validation studies, and chemotherapy uptake was based on pre- and post-testing recommendations from a study of 58 physicians. We evaluated three chemotherapy-benefit scenarios: moderately predictive (base case), nonpredictive (i.e., the same benefit for each risk group), and strongly predictive. We calculated the incremental cost-effectiveness ratio (ICER) and performed one-way and probabilistic sensitivity analyses. Results. In the base case, testing and standard-care strategies resulted in 6.81 and 6.66 life years, 3.76 and 3.68 QALYs, and $122,400 and $118,800 in costs, respectively. The ICER was $23,200 per QALY (stage I: $29,200 per QALY; stage II: $12,200 per QALY). The ICER ranged from "dominant" to $92,100 per QALY in the strongly predictive and nonpredictive scenarios. The model was most sensitive to the proportion of high-risk patients receiving chemotherapy and the high-risk hazard ratio. The 14-gene risk score assay strategy was cost-effective in 68% of simulations. Conclusion. Our results suggest that the 14-gene risk score assay may be a cost-effective alternative to standard guideline-based adjuvant chemotherapy decision making in early stage non-small cell lung cancer.
生命技术公司开发了一种14基因分子检测方法,可提供有关早期非鳞状非小细胞肺癌患者术后死亡风险的信息。该检测方法可用于识别死亡风险最高的患者,为后续治疗提供依据。本研究的目的是评估这种新型检测方法的成本效益。患者与方法。我们建立了一个马尔可夫模型,以估计预期寿命、质量调整生命年(QALY)以及检测与标准治疗的成本。风险组分类基于检测验证研究,化疗采用率基于对58名医生的一项研究中的检测前后建议。我们评估了三种化疗获益方案:中度预测性(基础病例)、非预测性(即每个风险组的获益相同)和强预测性。我们计算了增量成本效益比(ICER),并进行了单因素和概率敏感性分析。结果。在基础病例中,检测和标准治疗策略分别导致6.81和6.66个生命年、3.76和3.68个QALY以及122,400美元和118,800美元的成本。ICER为每QALY 23,200美元(I期:每QALY 29,200美元;II期:每QALY 12,200美元)。在强预测性和非预测性方案中,ICER范围从“占优”到每QALY 92,100美元。该模型对接受化疗的高危患者比例和高危风险比最为敏感。在68%的模拟中,14基因风险评分检测策略具有成本效益。结论。我们的结果表明,在早期非小细胞肺癌中,14基因风险评分检测可能是基于标准指南的辅助化疗决策的一种具有成本效益的替代方法。