Related Experiment Video
Updated: Aug 7, 2026

09:29
Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies
Published on: September 30, 2016
Empowering Clinical Development With Disease Progression Modeling: Recommendations From the Clinical Trials
Lindsay S Kehoe1, Shu Chin Ma2, Jiang Liu3
1The Clinical Trials Transformation Initiative, Duke Clinical Research Institute, Durham, North Carolina, USA.
Clinical and Translational Science
|August 5, 2026
Summary
Disease progression modeling (DPM) offers efficient, patient-centric drug development. This article provides CTTI
Area of Science:
- Quantitative medicine
- Clinical trial methodology
- Regulatory science
Background:
- Evaluating medical product benefit-risk requires integrated evidence across development stages.
- Real-world data and technological advances promote efficient, patient-centric, and sustainable quantitative paradigms.
- Disease progression modeling (DPM) is underutilized despite regulatory recognition of model-informed drug development.
Purpose of the Study:
- To provide evidence-based, cross-sector recommendations for adopting and implementing disease progression modeling (DPM) in medical product development.
- To define DPM, summarize its value in clinical development, and outline CTTI's collaborative process for generating recommendations.
- To present strategic questions demonstrating DPM's utility in addressing key development decisions.
Main Methods:
- Collaborative, cross-sector development of nine DPM recommendations by the Clinical Trials Transformation Initiative (CTTI).
- Creation of a practical considerations framework to guide DPM implementation.
- Illustrative examples of strategic development questions addressed by DPM.
Main Results:
- Nine evidence-based recommendations for the use of DPM in medical product development.
- A framework for practical considerations in DPM implementation.
- Demonstrated application of DPM in answering critical questions regarding indication, population, endpoints, and dose selection.
Conclusions:
- CTTI recommendations and a shared vocabulary can lower barriers to DPM implementation.
- Strategic use of DPM supports fit-for-purpose model application, enhancing clinical development efficiency.
- DPM adoption promotes more patient-focused and sustainable medical product development.
Related Concept Videos
Clinical Trials: Overview
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Clinical Trials
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
Preclinical Development: Overview
Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Tumor Progression
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Pharmacodynamic Models: Overview
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
