High-throughput molecular assays for inclusion in personalised oncology trials – State-of-the-art and beyond

IF 9 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Anders Edsjö, Hege G. Russnes, Janne Lehtiö, David Tamborero, Eivind Hovig, Albrecht Stenzinger, Richard Rosenquist, the PCM4EU consortium
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Abstract

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.

Abstract Image

用于个性化肿瘤试验的高通量分子检测--最新技术及其他。
在过去的几十年里,高通量分子检测技术的发展彻底改变了癌症诊断,为个性化癌症医疗的概念铺平了道路。通过生物标记物驱动的肿瘤学试验引入此类技术推动了这一进展。在这篇综述中,探讨了各种最先进测序技术的优势和局限性,包括基因组测序(DNA 和 RNA)、全外显子组/全基因组测序和全转录组测序,重点关注它们识别具有诊断、预后和/或预测作用的临床相关生物标记物的能力。这包括需要评估复杂的生物标志物,如微卫星不稳定性、肿瘤突变负荷和同源重组缺陷,以确定适合特定疗法(包括免疫疗法)的患者。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选择纳入试验的患者方面所起的关键作用,以及各种试验概念,包括药物再利用。我们认识到,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试验,因此还讨论了蛋白质组学和体内药物敏感性测试等多模式诊断新兴技术的重要性。此外,还介绍了临床试验各阶段的关键监管问题和患者参与的重要性。最后,我们提出了一系列建议,供规划新的精准癌症医学试验时参考。
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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来源期刊
Journal of Internal Medicine
Journal of Internal Medicine 医学-医学:内科
CiteScore
22.00
自引率
0.90%
发文量
176
审稿时长
4-8 weeks
期刊介绍: JIM – The Journal of Internal Medicine, in continuous publication since 1863, is an international, peer-reviewed scientific journal. It publishes original work in clinical science, spanning from bench to bedside, encompassing a wide range of internal medicine and its subspecialties. JIM showcases original articles, reviews, brief reports, and research letters in the field of internal medicine.
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