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Tumor-Agnostic Treatment for Cancer: When How is Better than Where
Daniele Lavacchi1, Giandomenico Roviello2, Alberto D'Angelo3
1Medical Oncology, Careggi University Hospital, Florence, Italy. daniele.lavacchi@yahoo.it.
Abstract:
In the evolving landscape of precision oncology, genomic characterization of tumor has become crucial in order to move toward a molecular-based therapy for the vast majority of cancers. Recently, translational research has offered new perspectives in systemic cancer treatment thanks to the identification of novel oncogenic targets and the development of new targeted therapies, followed by the latest applications of genomic sequencing. Simultaneously, next-generation sequencing (NGS) has expanded its accessibility, being incorporated into clinical studies at the time of the initial screening, disease progression, and often in longitudinal monitoring of molecular changes. Consequently, new potentially targetable molecular alterations have been identified in several different types of tumors, leading to the development of tumor-agnostic treatments. Being highly selective for specific molecular alterations, these drugs are active against different subtypes of oncogene-addicted cancers. Three of these drugs-pembrolizumab [an anti-programmed death 1 (PD-1) monoclonal antibody (MAb)], larotrectinib [a pan-tropomyosin receptor tyrosine kinase (TRK) inhibitor], and entrectinib [a pan-TRK, anaplastic lymphoma kinase (ALK) and ROS-1 inhibitor]-received US FDA approval in 2017, 2018, and 2019, respectively. In this article, we critically review the clinical studies responsible for FDA approval and the most recently updated results. We then discuss the benefits and limitations of these new methodological approaches, paying particular attention to the largest precision medicine master protocol, NCI-MATCH. Among the benefits, there are the increased chances of offering targeted therapies for patients with specific alterations identified in different types of tumors. Among the limitations, we highlight that the same driver mutation may require different therapeutic strategies in different types of cancers. Additionally, the complex study design undeniably requires a dynamic strategy to enroll patients with considerable economic and managerial efforts.
Insights
Genomic sequencing advances precision oncology, enabling targeted cancer therapies. Tumor-agnostic drugs like pembrolizumab, larotrectinib, and entrectinib offer new hope but present challenges in treatment strategy and patient enrollment.
Area of Science:
- Precision Oncology
- Genomic Characterization
- Translational Cancer Research
Background:
- Genomic characterization is vital for molecular-based cancer therapy.
- Next-generation sequencing (NGS) is increasingly accessible for cancer studies.
- Novel oncogenic targets and targeted therapies are transforming cancer treatment.
Purpose of the Study:
- To critically review clinical studies supporting FDA approval of targeted cancer therapies.
- To discuss the benefits and limitations of precision medicine approaches, including tumor-agnostic treatments.
- To examine the NCI-MATCH protocol as a large-scale precision medicine master protocol.
Main Methods:
- Review of clinical trial data for FDA-approved targeted therapies (pembrolizumab, larotrectinib, entrectinib).
- Analysis of recent clinical study results and updated data.
- Critical evaluation of precision medicine master protocols, exemplified by NCI-MATCH.
Main Results:
- Identification of new targetable molecular alterations across various tumor types.
- Development and FDA approval of tumor-agnostic therapies targeting specific molecular alterations.
- Increased opportunities for targeted therapy in patients with identified genetic alterations.
Conclusions:
- Precision oncology offers enhanced targeted therapy options for cancer patients.
- Challenges include varying therapeutic strategies for identical mutations across cancer types and complex study designs requiring significant resources.
- Continued research and adaptive strategies are necessary to optimize precision medicine implementation.
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