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Updated: May 21, 2025

Testing Cancer Immunotherapeutics in a Humanized Mouse Model Bearing Human Tumors
Published on: December 16, 2022
A SITC vision: adapting clinical trials to accelerate drug development in cancer immunotherapy
Thomas U Marron1, Jason J Luke2, Brianna Hoffner3
1Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Abstract:
Clinical trials of cancer immunotherapy (IO) were historically based on a drug development paradigm built for chemotherapies. The remarkable clinical activity of programmed cell death protein 1/programmed death ligand 1 blockade, chimeric antigen receptor-T cells, and T cell engagers yielded new insights into how the mechanistic underpinnings of IO are reflected in the clinic. These insights and the sheer number of novel immunotherapies currently in the pipeline have made it clear that our strategies and tools for IO drug development must adapt. Recent innovations like engineered T cells and tumor-infiltrating lymphocytes demonstrate that immune-based treatments may rely on real-time manufacturing programs rather than off-the-shelf drugs. We now recognize adoptively transferred cells as living drugs. Progression criteria have been redefined due to the unique response patterns of IO. Harnessing the power of both biomarkers and the neoadjuvant setting earlier in drug development is of broad interest. The US Food and Drug Association is increasingly impacting the design of trials with respect to dose optimization and clinical endpoints. The use of novel endpoints such as pathologic complete/major response, treatment-free survival, and minimal residual disease is becoming more common. There is growing acceptance of using patient-reported outcomes as trial endpoints to better measure the true clinical benefit and impact of novel IO agents on quality of life. New opportunities created by modern data science and artificial intelligence to inform and accelerate drug development continue to emerge. The importance of streamlining the clinical research ecosystem and enhancing clinical trial access to facilitate the enrollment of diverse patient populations is broadly recognized. Patient advocacy is critical both to drive the science of IO, and to promote patient satisfaction. To capitalize on these opportunities, the Society for Immunotherapy of Cancer (SITC) has established a goal of at least 100 new, unique IO approvals over the next 10 years. Accordingly, SITC has developed initiatives designed to integrate the viewpoints of diverse stakeholders and galvanize the field in further adapting clinical trials to the unique features of IO, moving us closer to our ultimate goal of using IO to cure and prevent cancer.
Insights
Cancer immunotherapy (IO) clinical trials require new strategies beyond traditional chemotherapy models. Adapting trial designs with novel endpoints and data science is crucial for developing effective immune-based cancer treatments.
Area of Science:
- Oncology
- Immunology
- Clinical Trial Design
Background:
- Traditional clinical trial paradigms, designed for chemotherapy, are insufficient for novel cancer immunotherapies (IO).
- Recent advances in IO, including engineered T cells and tumor-infiltrating lymphocytes, highlight the need for adaptive drug development strategies.
- The unique response patterns of IO necessitate re-evaluation of progression criteria and trial endpoints.
Purpose of the Study:
- To outline the evolving landscape of cancer immunotherapy drug development.
- To emphasize the need for adapting clinical trial designs to the unique characteristics of IO.
- To highlight emerging opportunities and challenges in accelerating IO approvals.
Main Methods:
- Review of current trends and innovations in cancer immunotherapy clinical trials.
- Analysis of the impact of regulatory bodies (e.g., US FDA) on trial design.
- Discussion of novel endpoints, data science, and patient-centric approaches.
Main Results:
- IO drug development requires a paradigm shift from chemotherapy-based models.
- Innovations include 'living drugs' (e.g., engineered T cells) and real-time manufacturing.
- Novel endpoints (e.g., pathologic response, treatment-free survival) and patient-reported outcomes are gaining acceptance.
- Data science, AI, and streamlined research ecosystems are key to accelerating IO development.
- The Society for Immunotherapy of Cancer (SITC) aims for 100 new IO approvals in 10 years.
Conclusions:
- Adapting clinical trial designs is essential for harnessing the full potential of cancer immunotherapy.
- Integrating biomarkers, neoadjuvant settings, and patient-reported outcomes will improve IO efficacy measurement.
- Collaborative efforts and innovative approaches are critical to achieving SITC's goal of widespread IO application for cancer cure and prevention.
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