Modeling NSCLC progression: recent advances and opportunities available

Area of Science:

• Oncology
• Pharmacometrics
• Mathematical Biology

Background:

• Non-small cell lung cancer (NSCLC) has a low survival rate, and drug development faces a high failure rate.
• Mathematical modeling and simulation offer potential tools to streamline NSCLC drug development.
• Accurate models of disease progression and treatment effects are crucial for effective drug development.

Purpose of the Study:

• To review existing literature on models and growth functions for NSCLC dynamics.
• To identify how anticancer treatments affect NSCLC progression in preclinical and clinical settings.
• To discuss the utility of modeling and simulation in NSCLC drug development decision-making.

Main Methods:

• Literature review of published studies on NSCLC modeling.
• Analysis of models describing tumor growth and treatment effects.
• Synthesis of findings on the application of modeling in drug development.

Main Results:

• A limited number of models for NSCLC dynamics were identified in the literature.
• Most models focused on descriptive tumor growth, with some attempts to capture underlying biological processes, particularly in animal models.
• Modeling and simulation can support decision-making throughout the drug development pipeline.

Conclusions:

• Further exploration of NSCLC using model-based techniques is warranted.
• Model-based approaches can enhance the design and evaluation of NSCLC clinical trials.
• Integrating modeling and simulation may improve the efficiency and success rate of NSCLC drug development.