Cancer Control Research, BC Cancer, Vancouver, Canada.
School of Population and Public Health, University of British Columbia, Vancouver, Canada.
Cancer Med. 2021 Aug;10(15):5131-5140. doi: 10.1002/cam4.4076. Epub 2021 Jun 21.
Single-arm trials are common in precision oncology. Owing to the lack of randomized counterfactual, resultant data are not amenable to comparative outcomes analyses. Difference-in-difference (DID) methods present an opportunity to generate causal estimates of time-varying treatment outcomes. Using DID, our study estimates within-cohort effects of genomics-informed treatment versus standard care on clinical and cost outcomes.
We focus on adults with advanced cancers enrolled in the single-arm BC Cancer Personalized OncoGenomics program between 2012 and 2017. All individuals had a minimum of 1-year follow up. Logistic regression explored baseline differences across patients who received a genomics-informed treatment versus a standard care treatment after genomic sequencing. DID estimated the incremental effects of genomics-informed treatment on time to treatment discontinuation (TTD), time to next treatment (TTNT), and costs. TTD and TTNT correlate with improved response and survival.
Our study cohort included 346 patients, of whom 140 (40%) received genomics-informed treatment after sequencing and 206 (60%) received standard care treatment. No significant differences in baseline characteristics were detected across treatment groups. DID estimated that the incremental effect of genomics-informed versus standard care treatment was 102 days (95% CI: 35, 167) on TTD, 91 days (95% CI: -9, 175) on TTNT, and CAD$91,098 (95% CI: $46,848, $176,598) on costs. Effects were most pronounced in gastrointestinal cancer patients.
Genomics-informed treatment had a statistically significant effect on TTD compared to standard care treatment, but at increased treatment costs. Within-cohort evidence generated through this single-arm study informs the early-stage comparative effectiveness of precision oncology.
单臂试验在精准肿瘤学中很常见。由于缺乏随机对照,因此所得数据不适于进行对比结局分析。差异(DID)方法为生成治疗时间变化的因果估计提供了机会。我们的研究使用 DID 方法来估计基因组学指导的治疗与标准护理对临床和成本结局的影响。
我们专注于 2012 年至 2017 年间在单臂 BC 癌症个体化肿瘤基因组计划中入组的患有晚期癌症的成年人,所有患者的随访时间均至少为 1 年。逻辑回归探索了基因组测序后接受基因组学指导治疗与标准护理治疗的患者在基线时的差异。DID 估计了基因组学指导治疗对治疗终止时间(TTD)、下一次治疗时间(TTNT)和成本的增量效应。TTD 和 TTNT 与改善的反应和生存相关。
我们的研究队列包括 346 名患者,其中 140 名(40%)在测序后接受了基因组学指导治疗,206 名(60%)接受了标准护理治疗。治疗组之间的基线特征无显著差异。DID 估计,与标准护理相比,基因组学指导治疗的增量效应在 TTD 上为 102 天(95%CI:35,167),TTNT 上为 91 天(95%CI:-9,175),成本上为 91098 加元(95%CI:46848 加元,176598 加元)。在胃肠道癌患者中,效果最为明显。
与标准护理相比,基因组学指导治疗在 TTD 上有统计学显著的影响,但治疗成本增加。通过这项单臂研究产生的队列内证据为精准肿瘤学的早期比较有效性提供了信息。