Dienstmann Rodrigo, Garralda Elena, Aguilar Susana, Sala Gemma, Viaplana Cristina, Ruiz-Pace Fiorella, González-Zorelle Jenifer, Grazia LoGiacco Deborah, Ogbah Zighereda, Ramos Masdeu Laia, Mancuso Francesco, Fasani Roberta, Jimenez Jose, Martinez Paola, Oaknin Ana, Saura Cristina, Oliveira Mafalda, Balmaña Judith, Carles Joan, Macarulla Teresa, Elez Elena, Alsina Maria, Braña Irene, Felip Enriqueta, Tabernero Josep, Rodon Jordi, Nuciforo Paolo, Vivancos Ana
Oncology Data Science, Vall d'Hebron Institute of Oncology, Barcelona, Spain.
Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology, Barcelona, Spain.
JCO Precis Oncol. 2020 May 14;4. doi: 10.1200/PO.19.00398. eCollection 2020.
Most academic precision oncology programs have been designed to facilitate enrollment of patients in early clinical trials with matched targeted agents. Over the last decade, major changes were seen both in the targetable molecular alteration landscape and in drug development trends. In this article, we describe how the Vall d'Hebron Institute of Oncology molecular prescreening program adapted to a dynamic model of biomarker-drug codevelopment. We started with a tumor-agnostic hotspot mutation panel plus in situ hybridization and immunohistochemistry of selected markers and subsequently transitioned to tumor-specific amplicon-based next-generation sequencing (NGS) tests together with custom copy number, fusion, and outlier gene expression panels. All assays are optimized for archived formalin-fixed paraffin-embedded tumor tissues without matched germline sequencing. In parallel, biomarker-matched trials evolved from a scenario of few targets and large populations (such as PI3K inhibitors in mutants) to a complex situation with many targets and small populations (such as multiple targetable fusion events). Recruitment rates in clinical trials with mandatory biomarkers decreased over the last 3 years. Molecular tumor board meetings proved critical to guide oncologists on emerging biomarkers for clinical testing and interpretation of NGS results. The substantial increase of immunotherapy trials had a major impact in target prioritization and guided clinical implementation of new markers, such as tumor mutational burden, with larger exon-based NGS assays and gene expression signatures to capture microenvironment infiltration patterns. This new multiomics era of precision oncology is expected to increase the opportunities for early clinical trial matching.
大多数学术精准肿瘤学项目旨在促进患者入组匹配靶向药物的早期临床试验。在过去十年中,可靶向分子改变格局和药物研发趋势都发生了重大变化。在本文中,我们描述了维勒港肿瘤研究所分子预筛查项目如何适应生物标志物 - 药物共同开发的动态模型。我们最初采用了一种不区分肿瘤类型的热点突变检测 panel 以及选定标志物的原位杂交和免疫组化检测,随后过渡到基于肿瘤特异性扩增子的新一代测序(NGS)检测,同时搭配定制的拷贝数、融合和异常基因表达检测 panel。所有检测均针对存档的福尔马林固定石蜡包埋肿瘤组织进行了优化,无需匹配种系测序。与此同时,生物标志物匹配试验从靶点少、人群大的情况(如针对 突变体的PI3K抑制剂)演变为靶点多、人群小的复杂情况(如多种可靶向融合事件)。在过去3年中,带有强制性生物标志物的临床试验的招募率有所下降。分子肿瘤学委员会会议被证明对于指导肿瘤学家进行新兴生物标志物的临床检测以及NGS结果解读至关重要。免疫治疗试验的大幅增加对靶点优先级确定产生了重大影响,并指导了新标志物(如肿瘤突变负荷)的临床应用,采用了更大的基于外显子的NGS检测和基因表达特征来捕捉微环境浸润模式。精准肿瘤学的这个新的多组学时代有望增加早期临床试验匹配的机会。