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Published on: January 19, 2019
Combining targeted therapies: practical issues to consider at the bench and bedside
Jordi Rodon1, Jose Perez, Razelle Kurzrock
1Servei d'Oncologia Medica, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institute of Oncology (V.H.I.O), Passatge Vall d'Hebron 119, 08035 Barcelona, Spain. jrodon@vhio.net
Abstract:
Numerous practical issues must be considered when combining targeted therapies in early clinical drug development. These include tumor resistance mechanisms, the existence of multiple, redundant signaling pathways, and the failure of single-agent therapies to achieve cures. The strategies adopted to examine combinatorial therapy include the goal of hitting more than one target by specifically inhibiting signal transduction cascades and suppressing specific mechanisms of action with the use of multitargeted kinase inhibitors made possible by high-throughput screening techniques, combinatorial chemistry, and chemoinformatics. Two complex considerations are: which agents to combine given the heterogeneity of tumors and their various underlying perturbations, including secondary mutations and feedback loops, and how to translate findings from the bench to the bedside or directly from the bedside. Another consideration is: When is there enough information to provide a rationale for instituting a phase I trial? Various strategies have been used in combining molecules, including targeting diverse pathways, inhibiting upstream and downstream signals, and adopting a synthetic lethality paradigm. Other issues are: determining appropriate target populations for treatment, how to combine therapeutics with diagnostics, and the frequency of targets in patients referred to clinical trials. Here, we review these issues and we propose various novel trial designs that are logical for determining the efficacy of a drug or drug combination for personalized treatment. A difficult issue that must be answered is how many and which drugs to combine. Recent technologies, such as multiplexed assay platforms and bioinformatics, will shape the future of clinical trials and help answer these questions surrounding combinatorial treatment.
Insights
Combining targeted therapies in early drug development faces challenges like tumor resistance and pathway redundancy. Novel trial designs and technologies like bioinformatics are crucial for personalized combinatorial treatments.
Area of Science:
- Oncology
- Pharmacology
- Clinical Trial Design
Background:
- Combining targeted therapies in early clinical development presents practical challenges.
- Tumor resistance, redundant signaling pathways, and single-agent therapy failures necessitate combinatorial approaches.
Purpose of the Study:
- To review challenges in combinatorial targeted therapy development.
- To propose novel clinical trial designs for personalized combination treatments.
Main Methods:
- Review of strategies for combinatorial therapy, including multitargeted kinase inhibitors.
- Discussion of considerations such as tumor heterogeneity, pathway targeting, and translation from bench to bedside.
- Exploration of trial design elements like target populations and combination with diagnostics.
Main Results:
- Identified key issues in combining targeted therapies: resistance, pathway redundancy, tumor heterogeneity, and translation challenges.
- Highlighted the need for strategies like hitting multiple targets, inhibiting diverse pathways, and synthetic lethality.
- Emphasized the role of emerging technologies like multiplexed assay platforms and bioinformatics.
Conclusions:
- Effective combinatorial targeted therapy requires careful consideration of numerous practical and scientific issues.
- Novel clinical trial designs are essential for optimizing personalized combination treatments.
- Advancements in technology will significantly influence future combinatorial drug development and clinical trials.
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