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Updated: Oct 6, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Immuno-oncology trends: preclinical models, biomarkers, and clinical development
Maryland Rosenfeld Franklin1, Suso Platero1, Kamal S Saini1
1Labcorp Drug Development Inc, Princeton, New Jersey, USA.
Abstract:
The landscape in immuno-oncology (I-O) has undergone profound changes since its early beginnings up through the rapid advances happening today. The current drug development pipeline consists of thousands of potential I-O therapies and therapy combinations, many of which are being evaluated in clinical trials. The efficient and successful development of these assets requires the investment in and utilization of appropriate tools and technologies that can facilitate the rapid transitions from preclinical evaluation through clinical development. These tools include (i) appropriate preclinical models, (ii) biomarkers of pharmacodynamic, predictive and monitoring utility, and (iii) evolving clinical trial designs that allow rapid and efficient evaluation during the development process. This article provides an overview of how novel discoveries and insights into each of these three areas have the potential to further address the clinical management needs for patients with cancer.
Insights
Immuno-oncology (I-O) drug development is advancing rapidly. Key tools like preclinical models, biomarkers, and adaptive clinical trial designs are crucial for efficiently bringing new cancer immunotherapies from the lab to patients.
Area of Science:
- Oncology
- Immunology
- Drug Development
Background:
- The field of immuno-oncology (I-O) has seen significant evolution.
- Thousands of I-O therapies and combinations are in development pipelines and clinical trials.
- Efficient development necessitates advanced tools and technologies.
Purpose of the Study:
- To provide an overview of critical tools for immuno-oncology drug development.
- To highlight how novel discoveries in key areas can improve cancer patient management.
Main Methods:
- Discussion of essential preclinical models for evaluating I-O therapies.
- Overview of biomarkers for pharmacodynamic, predictive, and monitoring utility.
- Exploration of evolving clinical trial designs for efficient evaluation.
Main Results:
- Novel discoveries in preclinical models enhance early-stage assessment.
- Biomarkers provide crucial insights into treatment response and patient selection.
- Innovative clinical trial designs accelerate the evaluation of I-O agents.
Conclusions:
- Investment in and utilization of appropriate tools are vital for successful I-O asset development.
- Advancements in models, biomarkers, and trial designs hold potential for addressing unmet clinical needs in cancer.
- These integrated approaches are key to advancing patient care in immuno-oncology.
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