Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office for Medical Services, Region Skåne, Lund, Sweden.
Division of Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.
J Intern Med. 2024 Jun;295(6):785-803. doi: 10.1111/joim.13785. Epub 2024 May 2.
In the last decades, the development of high-throughput molecular assays has revolutionised cancer diagnostics, paving the way for the concept of personalised cancer medicine. This progress has been driven by the introduction of such technologies through biomarker-driven oncology trials. In this review, strengths and limitations of various state-of-the-art sequencing technologies, including gene panel sequencing (DNA and RNA), whole-exome/whole-genome sequencing and whole-transcriptome sequencing, are explored, focusing on their ability to identify clinically relevant biomarkers with diagnostic, prognostic and/or predictive impact. This includes the need to assess complex biomarkers, for example microsatellite instability, tumour mutation burden and homologous recombination deficiency, to identify patients suitable for specific therapies, including immunotherapy. Furthermore, the crucial role of biomarker analysis and multidisciplinary molecular tumour boards in selecting patients for trial inclusion is discussed in relation to various trial concepts, including drug repurposing. Recognising that today's exploratory techniques will evolve into tomorrow's routine diagnostics and clinical study inclusion assays, the importance of emerging technologies for multimodal diagnostics, such as proteomics and in vivo drug sensitivity testing, is also discussed. In addition, key regulatory aspects and the importance of patient engagement in all phases of a clinical trial are described. Finally, we propose a set of recommendations for consideration when planning a new precision cancer medicine trial.
在过去的几十年中,高通量分子检测技术的发展彻底改变了癌症诊断,为个性化癌症医学的概念铺平了道路。这一进展是通过生物标志物驱动的肿瘤学试验引入这些技术推动的。在这篇综述中,探讨了各种最先进的测序技术(包括基因panel 测序(DNA 和 RNA)、外显子组/全基因组测序和全转录组测序)的优缺点,重点关注它们识别具有诊断、预后和/或预测影响的临床相关生物标志物的能力。这包括需要评估复杂的生物标志物,例如微卫星不稳定性、肿瘤突变负荷和同源重组缺陷,以确定适合特定治疗的患者,包括免疫疗法。此外,还讨论了生物标志物分析和多学科分子肿瘤委员会在根据各种试验概念(包括药物再利用)选择入组患者方面的关键作用。认识到今天的探索性技术将发展成为明天的常规诊断和临床研究纳入检测,还讨论了新兴技术在多模态诊断中的重要性,如蛋白质组学和体内药物敏感性检测。此外,还描述了关键的监管方面以及在临床试验的所有阶段都让患者参与的重要性。最后,我们提出了一套在规划新的精准癌症医学试验时需要考虑的建议。