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A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
Modular formation of in vitro tumor models for oncological research/therapeutic drug screening
1Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, United States; School of Life Sciences, Yantai University, Yantai, Shandong, P.R. China.
Abstract:
In recognition of the lethal nature of cancer, extensive efforts have been made to understand the mechanistic causation while identifying the effective therapy modality in hope to eradicate cancerous cells with minimal damage to healthy cells. In search of such effective therapeutics, establishing pathophysiologically relevant in vitro models would be of importance in empowering our capabilities of truly identifying those potent ones with significantly reduction of the preclinical periods for rapid translation. In this regard, wealthy progresses have been achieved over past decades in establishing various in vitro and in vivo tumor models. Ideally, the tumor models should maximally recapture the key pathophysiological attributes of their native counterparts. Many of the current models have demonstrated their utilities but also showed some noticeable limitations. This book chapter will briefly review some of the mainstream platforms for in vitro tumor models followed by detailed elaboration on the modular strategies to form in vitro tumor models with complex structures and spatial organization of cellular components. Clearly, with the ability to modulate the building modules it becomes a new trend to form in vitro tumor models following a bottom-up approach, which offers a high flexibility to satisfy the needs for pathophysiological study, anticancer drug screening or design of personalized treatment.
Insights
Developing advanced in vitro tumor models is crucial for effective cancer research. Modular, bottom-up strategies create complex models for better drug screening and personalized cancer treatment.
Area of Science:
- Oncology
- Biomedical Engineering
- Drug Discovery
Background:
- Cancer's lethality necessitates understanding its mechanisms and finding targeted therapies.
- Current in vitro and in vivo tumor models have limitations in fully replicating native tumor pathophysiology.
- Developing more accurate models is key to reducing preclinical drug development timelines.
Purpose of the Study:
- To review existing in vitro tumor models.
- To elaborate on modular strategies for constructing complex, spatially organized in vitro tumor models.
- To highlight the advantages of bottom-up approaches for cancer research.
Main Methods:
- Review of mainstream in vitro tumor model platforms.
- Detailed explanation of modular strategies for building complex in vitro tumor models.
- Emphasis on bottom-up construction for enhanced flexibility.
Main Results:
- Modular strategies enable the creation of in vitro tumor models with complex structures and cellular organization.
- Bottom-up approaches offer high flexibility in model design.
- These advanced models can better serve pathophysiological studies and drug screening.
Conclusions:
- Modular, bottom-up construction represents a significant advancement in creating sophisticated in vitro tumor models.
- These models enhance capabilities for anticancer drug screening and personalized treatment design.
- Further development in this area promises to accelerate cancer therapy translation.

