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Evolving Landscape of Molecular Prescreening Strategies for Oncology Early Clinical Trials
Rodrigo Dienstmann1, Elena Garralda2, Susana Aguilar1
1Oncology Data Science, Vall d'Hebron Institute of Oncology, Barcelona, Spain.
Abstract:
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 PIK3CA 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.
Insights
Precision oncology programs evolved to adapt to new molecular targets and drug development, enhancing clinical trial matching. This dynamic approach, integrating multiomics, improves patient opportunities in targeted cancer therapies.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Precision oncology programs initially focused on early clinical trials for targeted agents.
- The landscape of targetable molecular alterations and drug development has significantly changed over the past decade.
Purpose of the Study:
- To describe the adaptation of the Vall d'Hebron Institute of Oncology's molecular prescreening program.
- To illustrate the evolution towards a dynamic biomarker-drug co-development model in precision oncology.
Main Methods:
- Transitioned from hotspot mutation panels and IHC/FISH to tumor-specific amplicon-based next-generation sequencing (NGS).
- Developed custom panels for copy number, fusion, and outlier gene expression, optimized for formalin-fixed paraffin-embedded tissues.
- Integrated molecular tumor board meetings and considered immunotherapy trial impacts for target prioritization.
Main Results:
- Biomarker-matched trials shifted from broad targets to numerous specific targets for smaller patient populations.
- Recruitment rates in biomarker-mandatory trials have declined in recent years.
- Increased use of larger exon-based NGS assays and gene expression signatures for immunotherapy markers like tumor mutational burden.
Conclusions:
- The Vall d'Hebron Institute of Oncology's program adapted successfully to a dynamic precision oncology landscape.
- Molecular tumor boards are crucial for guiding oncologists in interpreting complex genomic data and emerging biomarkers.
- The multiomics era is poised to expand early clinical trial matching opportunities for cancer patients.
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