Bioengineered In Vitro 3D Cancer Models: A New Paradigm in Ethical and Predictive Oncology Research Toward Successful

Chitra Jaiswal1, Bibrita Bhar1, Saki Sugihara1

  • 1Biomaterials and Tissue Engineering Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India.

Insights

Three-dimensional (3D) in vitro cancer models offer improved pre-clinical drug screening by mimicking tumor microenvironments (TME). These advanced bioengineered models enhance drug response prediction and accelerate novel therapeutic development.

Area of Science:

  • Oncology
  • Bioengineering
  • Drug Discovery

Background:

  • High drug attrition rates in pharmaceuticals stem from limitations of traditional 2D cell cultures and animal models.
  • In vitro 3D cancer models provide superior tumor mimicry through controlled spatial organization and microenvironmental cues.
  • Advanced technologies like 3D bioprinting and microfluidics enhance these models for toxicity screening and drug response prediction.

Purpose of the Study:

  • To review the role of tumor microenvironment (TME) heterogeneity in tumor progression and therapeutic outcomes.
  • To explore diverse bioengineering techniques for creating advanced 3D cancer models.
  • To evaluate the advantages, limitations, and integrative approaches for overcoming challenges in 3D cancer modeling.

Main Methods:

  • Comprehensive review of existing literature on 3D cancer models and bioengineering techniques.
  • Analysis of tumor microenvironment (TME) heterogeneity and its impact on cancer progression.
  • Evaluation of advanced technologies including 3D bioprinting, microfluidics, and organ-on-a-chip systems.

Main Results:

  • 3D cancer models effectively recapitulate TME complexity, improving predictive accuracy for pre-clinical drug screening.
  • Bioengineered platforms enhance the understanding of tumor progression and therapeutic outcomes.
  • Integrative approaches combining multiple bioengineering techniques offer robust solutions to current challenges.

Conclusions:

  • Bioengineered 3D cancer models are transformative platforms for accurate pre-clinical drug validation and development.
  • These models offer a more humane, reproducible, and scalable alternative to traditional methods, aligning with the 3Rs principle.
  • Adoption of these advanced models promises to accelerate the development of novel anticancer therapies.