Program on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
JAMA Oncol. 2022 Apr 1;8(4):537-545. doi: 10.1001/jamaoncol.2021.7230.
Biologics account for almost half of US drug spending but may be subject to competitive pricing pressures by US Food and Drug Administration-approved biosimilars. The extent of the preapproval clinical testing that is needed and how these biosimilars compare with the originator biologic products remain critical issues in establishing a vibrant biosimilar market.
To analyze the design of cancer biosimilar efficacy studies compared with the reference drug pivotal trials and provide summary risk ratio estimates for each cancer type drug subgroup.
A systematic search was performed of articles and abstracts published using Embase, PubMed/MEDLINE, and ClinicalTrials.gov, last updated April 18, 2021.
All studies or abstracts in English comparing a disease-modifying cancer biologic and its biosimilar and reporting efficacy or surrogate efficacy results were included.
Outcome estimates and study characteristics were extracted from each study. Among biosimilar efficacy studies, random-effects meta-analyses were performed for each cancer type molecule outcome subgroup, calculating pooled relative estimates and 95% CIs.
Study characteristics, such as population size, blinding, and randomization, were compared between biosimilar trials and those of reference drugs. Risk ratio estimates for relative change to surrogate measures (eg, progression-free survival) were collected for biosimilars and their reference products.
A total of 31 cancer biosimilar studies of 3 reference products involving 12 310 patients were included. In all 7 subgroups, the biosimilars analyzed were indistinguishable from their reference drug on surrogate efficacy. Six reference drug trials were included, involving 1811 patients. On average, biosimilar studies involved more patients than reference drug trials (mean number of patients, 397 vs 302), were more likely to be randomized clinical trials rather than single-group or observational studies (100% [31 of 31] vs 50% [3 of 6]), and were more likely to be double blind rather than open label (84% [26 of 31] vs 17% [1 of 6]).
This systematic review and meta-analysis found that the biosimilars for the cancer drugs in this sample were subjected to rigorous clinical evaluations, and the results were statistically indistinguishable from those of original products across drugs, cancer types, and outcome measures.
生物制剂占美国药品支出的近一半,但可能会受到美国食品和药物管理局批准的生物类似药的竞争定价压力的影响。在批准前需要进行的临床测试的程度,以及这些生物类似药与原创生物制品的比较,仍然是建立一个充满活力的生物类似药市场的关键问题。
分析癌症生物类似药疗效研究的设计与参考药物关键试验的比较,并为每个癌症类型药物亚组提供汇总风险比估计。
使用 Embase、PubMed/MEDLINE 和 ClinicalTrials.gov 进行了系统检索,最后一次更新时间为 2021 年 4 月 18 日。
纳入所有比较疾病修饰性癌症生物制剂及其生物类似药并报告疗效或替代疗效结果的英文研究或摘要。
从每项研究中提取结果估计值和研究特征。在生物类似药疗效研究中,对每个癌症类型分子结果亚组进行了随机效应荟萃分析,计算了汇总相对估计值和 95%置信区间。
比较了生物类似药试验和参考药物试验的研究特征,如人群规模、盲法和随机化。收集了生物类似药及其参考产品对替代指标(如无进展生存期)的相对变化的风险比估计值。
共纳入 31 项涉及 3 种参考产品的 31 项癌症生物类似药研究,涉及 12310 名患者。在所有 7 个亚组中,分析的生物类似药在替代疗效上与参考药物无法区分。纳入了 6 项参考药物试验,涉及 1811 名患者。平均而言,生物类似药研究涉及的患者多于参考药物试验(平均患者人数分别为 397 名和 302 名),更有可能是随机临床试验而不是单组或观察性研究(100%[31 项中的 31 项]比 50%[6 项中的 3 项]),并且更有可能是双盲而不是开放标签(84%[31 项中的 26 项]比 17%[6 项中的 1 项])。
这项系统评价和荟萃分析发现,该样本中癌症药物的生物类似药经过了严格的临床评估,结果在药物、癌症类型和结果测量方面与原产品在统计学上无法区分。