Sissung Tristan M, Figg William D
Clinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, MD 20892, USA.
Cancers (Basel). 2022 Feb 23;14(5):1131. doi: 10.3390/cancers14051131.
While over ten-thousand phase I studies are published in oncology, fewer than 1% of these studies stratify patients based on genetic variants that influence pharmacology. Pharmacogenetics-based patient stratification can improve the success of clinical trials by identifying responsive patients who have less potential to develop toxicity; however, the scientific limits imposed by phase I study designs reduce the potential for these studies to make conclusions. We compiled all phase I studies in oncology with pharmacogenetics endpoints ( = 84), evaluating toxicity ( = 42), response or PFS ( = 32), and pharmacokinetics ( = 40). Most of these studies focus on a limited number of agent classes: Topoisomerase inhibitors, antimetabolites, and anti-angiogenesis agents. Eight genotype-directed phase I studies were identified. Phase I studies consist of homogeneous populations with a variety of comorbidities, prior therapies, racial backgrounds, and other factors that confound statistical analysis of pharmacogenetics. Taken together, phase I studies analyzed herein treated small numbers of patients (median, 95% CI = 28, 24-31), evaluated few variants that are known to change phenotype, and provided little justification of pharmacogenetics hypotheses. Future studies should account for these factors during study design to optimize the success of phase I studies and to answer important scientific questions.
虽然肿瘤学领域发表了一万多项一期研究,但其中基于影响药理学的基因变异对患者进行分层的研究不到1%。基于药物遗传学的患者分层可以通过识别发生毒性可能性较小的反应性患者来提高临床试验的成功率;然而,一期研究设计所带来的科学局限性降低了这些研究得出结论的可能性。我们汇总了所有具有药物遗传学终点(n = 84)、评估毒性(n = 42)、反应或无进展生存期(n = 32)以及药代动力学(n = 40)的肿瘤学一期研究。这些研究大多集中在有限数量的药物类别上:拓扑异构酶抑制剂、抗代谢物和抗血管生成药物。共识别出八项基因型导向的一期研究。一期研究由具有各种合并症、既往治疗史、种族背景和其他混淆药物遗传学统计分析因素的同质人群组成。综上所述,本文分析的一期研究纳入的患者数量较少(中位数,95%CI = 28,24 - 31),评估的已知可改变表型的变异较少,并且对药物遗传学假设的论证不足。未来的研究应在研究设计过程中考虑这些因素,以优化一期研究的成功率并回答重要的科学问题。