Catenacci Daniel V T
University of Chicago Medical Center, Department of Medicine, Section of Hematology & Oncology, 5841 S. Maryland Avenue, MC2115, Chicago, IL 60637, USA.
Mol Oncol. 2015 May;9(5):967-96. doi: 10.1016/j.molonc.2014.09.011. Epub 2014 Oct 18.
The promise of 'personalized cancer care' with therapies toward specific molecular aberrations has potential to improve outcomes. However, there is recognized heterogeneity within any given tumor-type from patient to patient (inter-patient heterogeneity), and within an individual (intra-patient heterogeneity) as demonstrated by molecular evolution through space (primary tumor to metastasis) and time (after therapy). These issues have become hurdles to advancing cancer treatment outcomes with novel molecularly targeted agents. Classic trial design paradigms are challenged by heterogeneity, as they are unable to test targeted therapeutics against low frequency genomic 'oncogenic driver' aberrations with adequate power. Usual accrual difficulties to clinical trials are exacerbated by low frequencies of any given molecular driver. To address these challenges, there is need for innovative clinical trial designs and strategies implementing novel diagnostic biomarker technologies to account for inter-patient molecular diversity and scarce tissue for analysis. Importantly, there is also need for pre-defined treatment priority algorithms given numerous aberrations commonly observed within any one individual sample. Access to multiple available therapeutic agents simultaneously is crucial. Finally intra-patient heterogeneity through time may be addressed by serial biomarker assessment at the time of tumor progression. This report discusses various 'next-generation' biomarker-driven trial designs and their potentials and limitations to tackle these recognized molecular heterogeneity challenges. Regulatory hurdles, with respect to drug and companion diagnostic development and approval, are considered. Focus is on the 'Expansion Platform Design Types I and II', the latter demonstrated with a first example, 'PANGEA: Personalized Anti-Neoplastics for Gastro-Esophageal Adenocarcinoma'. Applying integral medium-throughput genomic and proteomic assays along with a practical biomarker assessment and treatment algorithm, 'PANGEA' attempts to address the problem of heterogeneity towards successful implementation of molecularly targeted therapies.
针对特定分子异常的“个性化癌症治疗”有望改善治疗效果。然而,在任何给定的肿瘤类型中,患者之间存在公认的异质性(患者间异质性),并且在个体内部也存在异质性(患者内异质性),这已通过空间(原发性肿瘤到转移灶)和时间(治疗后)的分子进化得到证实。这些问题已成为利用新型分子靶向药物提高癌症治疗效果的障碍。经典的试验设计范式受到异质性的挑战,因为它们无法以足够的效力针对低频基因组“致癌驱动”异常测试靶向治疗药物。任何给定分子驱动因素的低频率都会加剧临床试验通常面临的入组困难。为应对这些挑战,需要创新的临床试验设计和策略,实施新型诊断生物标志物技术,以考虑患者间的分子多样性和用于分析的稀缺组织。重要的是,鉴于在任何一个个体样本中通常观察到多种异常,还需要预定义的治疗优先级算法。同时获得多种可用治疗药物至关重要。最后,通过在肿瘤进展时进行系列生物标志物评估,可以解决患者内随时间变化的异质性问题。本报告讨论了各种“下一代”生物标志物驱动的试验设计及其应对这些公认的分子异质性挑战的潜力和局限性。还考虑了在药物和伴随诊断开发及批准方面的监管障碍。重点是“扩展平台设计类型I和II”,后者以第一个例子“PANGEA:用于胃食管腺癌的个性化抗肿瘤药物”进行了说明。通过应用整合的中通量基因组和蛋白质组分析以及实用的生物标志物评估和治疗算法,“PANGEA”试图解决异质性问题,以成功实施分子靶向治疗。