Modern Challenges for Early-Phase Clinical Trial Design and Biomarker Discovery in Metastatic Non-Small-Cell Lung Cancer

A. Rossi, S. Pilotto, L. Carbognin, M. Ferrara, L. Belluomini, G. Daniele, E. Bria
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Abstract

Oncology research has changed extensively due to the possibility to categorize each cancer type into smaller subgroups based on histology and particularly on different genetic alterations due to their heterogeneity. The consequences of this heterogeneity are particularly evident in the management of metastatic non-small-cell lung cancer (NSCLC). This review will discuss the benefits and challenges of incorporating precision medicine into early- through late-phase metastatic NSCLC clinical trials, discussing examples of drug development programs in oncogene- and non-oncogene-addicted NSCLC. The experiences of clinical development of crizotinib, gefitinib and osimertinib are depicted showing that when a targeted drug is administrated in a study population not selected by any biomarker, trials could produce negative results. However, the early detection of biomarker-driven biology helps to obtain a greater benefit for a selected population and can reduce the required time for drug approval. Early clinical development programs involving nivolumab, pembrolizumab and avelumab, immune checkpoint inhibitors, taught us that, beyond safety and activity, the optimal selection of patients should be based on pre-specified biomarkers. Overall, the identification of predictive biomarkers is one of the greatest challenges of NSCLC research that should be optimized with solid methodological trial designs to maximize the clinical outcomes.
转移性非小细胞肺癌早期临床试验设计和生物标志物发现的现代挑战
肿瘤研究已经发生了广泛的变化,因为可以根据组织学将每种癌症类型分为更小的亚组,特别是由于它们的异质性,不同的遗传改变。这种异质性的结果在转移性非小细胞肺癌(NSCLC)的治疗中尤为明显。本综述将讨论将精准医学纳入早期到晚期转移性非小细胞肺癌临床试验的益处和挑战,讨论癌基因和非癌基因成瘾非小细胞肺癌药物开发项目的例子。本文描述了克里唑替尼、吉非替尼和奥西替尼的临床开发经验,表明当一种靶向药物在没有任何生物标志物选择的研究人群中施用时,试验可能产生负面结果。然而,生物标志物驱动生物学的早期检测有助于为选定的人群获得更大的利益,并可以减少药物批准所需的时间。早期的临床开发项目包括nivolumab, pembrolizumab和avelumab,免疫检查点抑制剂,告诉我们,除了安全性和活性之外,患者的最佳选择应该基于预先指定的生物标志物。总体而言,预测生物标志物的识别是NSCLC研究的最大挑战之一,应该通过可靠的方法学试验设计进行优化,以最大限度地提高临床结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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