Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Ann Oncol. 2022 Feb;33(2):143-157. doi: 10.1016/j.annonc.2021.11.004. Epub 2021 Nov 19.
Building on the success of targeted therapy in certain well-defined cancer genotypes, three platform studies-NCI-MATCH, LUNG-MAP and The National Lung Matrix Trial (NLMT)-have attempted to discover new genotype-matched therapies for people with cancer.
We review the outputs from these platform studies. This review led us to propose a series of recommendations and considerations that we hope will inform future precision medicine programmes in cancer.
The three studies collectively screened over 13 000 patients. Across 37 genotype-matched cohorts, there have been 66/875 responders, with an overall response rate of 7.5%. Targeting copy number gain yielded 5/199 responses across nine biomarker-drug matched cohorts, with a response rate of 2.5%.
The majority of these studies used single-agent targeted therapies. Whilst preclinical data can suggest rational combination treatment to reverse adaptive resistance or block parallel activated pathways, there is an essential need for accurate modelling of the toxicity-activity trade-off of combinations. Agent selection is often suboptimal; dose expansion should only be carried out with agents with clear clinical proof of mechanism and high target selectivity. Targeting copy number change has been disappointing; it is crucial to define the drivers on shared amplicons that include the targeted aberration. Maximising outcomes with currently available targeted therapies requires moving towards a more contextualised stratified medicine acknowledging the criticality of the genomic, transcriptional and immunological context on which the targeted aberration is inscribed. Genomic complexity and instability is likely to be a leading cause of targeted therapy failure in genomically complex cancers. Preclinical models must be developed that more accurately capture the genomic complexity of human disease. The degree of attrition of studies carried out after standard-of-care therapy suggests that serious efforts be made to develop a suite of precision medicine studies in the minimal residual disease setting.
在某些明确的癌症基因型的靶向治疗取得成功的基础上,三项平台研究——NCI-MATCH、LUNG-MAP 和全国肺癌矩阵试验(NLMT)——试图为癌症患者发现新的基因型匹配疗法。
我们回顾了这些平台研究的结果。这一回顾使我们提出了一系列建议和考虑因素,我们希望这些建议和考虑因素将为癌症的未来精准医学计划提供信息。
这三项研究共筛选了超过 13000 名患者。在 37 个基因型匹配队列中,有 66/875 名患者有反应,总体反应率为 7.5%。针对拷贝数增益,在 9 个生物标志物-药物匹配队列中,有 5/199 个有反应,反应率为 2.5%。
这些研究大多数使用了单一靶向治疗药物。虽然临床前数据可以提示合理的联合治疗方案,以逆转适应性耐药或阻断平行激活的途径,但对于组合的毒性-活性权衡进行准确建模是至关重要的。药物选择往往不理想;只有当药物具有明确的临床机制证明和高靶选择性时,才应进行扩大剂量的扩展。靶向拷贝数变化令人失望;确定包含靶向异常的共享扩增子上的驱动因素至关重要。通过目前可用的靶向疗法最大限度地提高治疗效果,需要朝着更具上下文的分层医学方向发展,承认靶向异常所依赖的基因组、转录组和免疫组学背景的关键性。基因组的复杂性和不稳定性可能是导致基因组复杂癌症靶向治疗失败的主要原因。必须开发更准确地捕捉人类疾病基因组复杂性的临床前模型。在标准治疗后进行的研究的淘汰程度表明,应认真努力制定一套在微小残留病环境下的精准医学研究方案。