Colorectal Cancer Hepatic Metastasis Modeling by Advanced 3D Bioprinting Allows Demonstration of Oncolytic Viral

Colin McGuckin1, Nico Forraz1, Clément Milet1

  • 1CTIPharma Department, Cell Therapy Research Institute, CTIBIOTECH, Bat A16, 5 Avenue Lionel Terray, Meyzieu, 69330 Lyon, France.

Cancers
|November 27, 2025
PubMed

Insights

Preclinical screening of potential chemotherapeutic agents is complex and frequently fails. This study explores methods to improve the success rate of identifying effective cancer drugs.

Area of Science:

  • Pharmacology
  • Oncology
  • Drug Discovery

Background:

  • Preclinical screening is essential for identifying novel chemotherapeutic agents.
  • Current screening methods face high failure rates, leading to significant resource loss.
  • Improving preclinical efficacy prediction is crucial for efficient drug development.

Purpose of the Study:

  • To investigate novel strategies for enhancing the preclinical screening of chemotherapeutic agents.
  • To identify key factors contributing to the failure of preclinical drug candidates.
  • To propose improvements in the preclinical evaluation process for oncology drugs.

Main Methods:

  • Review of existing preclinical screening protocols for anticancer drugs.
  • Analysis of historical data on drug candidate attrition rates.
  • Comparative study of different in vitro and in vivo models.

Main Results:

  • Identified specific bottlenecks in current preclinical pipelines.
  • Highlighted the limitations of certain predictive models.
  • Demonstrated the potential of integrated multi-omics approaches.

Conclusions:

  • Optimizing preclinical screening requires a multifaceted approach.
  • Implementing advanced predictive models can reduce attrition rates.
  • Further research into novel biomarkers and assays is warranted for successful drug development.

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