The Revolutionary Roads to Study Cell-Cell Interactions in 3D In Vitro Pancreatic Cancer Models

Donatella Delle Cave1, Riccardo Rizzo2, Bruno Sainz3,4

  • 1Institute of Genetics and Biophysics "A. Buzzati-Traverso", National Research Council (CNR-IGB), Via Pietro Castellino 111, 80131 Naples, Italy.

Cancers
|March 6, 2021
PubMed

Insights

New bioengineered platforms offer hope for pancreatic cancer drug discovery. These advanced models better mimic the tumor environment, improving the prediction of anti-cancer drug efficacy in clinical trials.

Area of Science:

  • Oncology
  • Biotechnology
  • Drug Discovery

Background:

  • Pancreatic cancer is a leading cause of cancer death with poor therapeutic outcomes.
  • Limited progress in treatment over the past decade necessitates novel drug development strategies.
  • Current preclinical models often fail to accurately predict clinical efficacy.

Purpose of the Study:

  • To review novel bioengineered platforms for anticancer drug discovery in pancreatic cancer.
  • To highlight the transition from traditional 2D to advanced 3D models.
  • To emphasize the importance of in vivo-like models for predicting therapeutic response.

Main Methods:

  • Review of existing literature on bioengineered platforms for pancreatic cancer research.
  • Discussion of traditional two-dimensional (2D) cell culture models.
  • Exploration of innovative three-dimensional (3D) cell culture and organoid models.
  • Analysis of how these models mimic the tumor microenvironment.

Main Results:

  • Bioengineered platforms, particularly 3D models, show promise in recapitulating the pancreatic tumor microenvironment.
  • These advanced models offer improved prediction of drug efficacy compared to traditional 2D cultures.
  • The development of sophisticated platforms is crucial for advancing pancreatic cancer drug discovery.

Conclusions:

  • Advanced bioengineered models are essential for more effective pancreatic cancer drug discovery.
  • Transitioning to 3D and other in vivo-mimicking systems is critical for future therapeutic development.
  • Novel platforms can accelerate the identification of promising anti-cancer candidates for clinical trials.

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