AI Article Synopsis

  • Colorectal cancer (CRC) is prevalent globally, and current methods for testing drug efficacy (like short-term tumor cultures) often provide limited clinical insights.
  • The study introduces a technique for creating CRC patient-derived explant (CRC-PDE) cultures, maintaining vital tumor characteristics and genetic markers over several weeks.
  • Drug testing on these cultures shows varied responses, supporting their potential use in preclinical research, emphasizing the need for careful model characterization and consideration of changes over time.

Article Abstract

Colorectal cancer (CRC) is one of the most common cancers worldwide. Although short-term cultures of tumour sections and xenotransplants have been used to determine drug efficacy, the results frequently fail to confer clinically useful information. Biomarker discovery has changed the paradigm for advanced CRC, though the presence of a biomarker does not necessarily translate into therapeutic success. To improve clinical outcomes, translational models predictive of drug response are needed. We describe a simple method for the fast establishment of CRC patient-derived explant (CRC-PDE) cultures from different carcinogenesis pathways, employing agitation-based platforms. A total of 26 CRC-PDE were established and a subset was evaluated for viability ( = 23), morphology and genetic key alterations ( = 21). CRC-PDE retained partial tumor glandular architecture and microenvironment features were partially lost over 4 weeks of culture. Key proteins (p53 and Mismatch repair) and oncogenic driver mutations of the original tumours were sustained throughout the culture. Drug challenge ( = 5) revealed differential drug response from distinct CRC-PDE cases. These findings suggest an adequate representation of the original tumour and highlight the importance of detailed model characterisation. The preservation of key aspects of the CRC microenvironment and genetics supports CRC-PDE potential applicability in pre- and co-clinical settings, as long as temporal dynamics are considered.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465429PMC
http://dx.doi.org/10.3390/cancers13184695DOI Listing

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