Comparative analysis between 2D and 3D colorectal cancer culture models for insights into cellular morphological and

Zaid Nsaif Abbas1, Ali Z Al-Saffar2, Saba Mahdi Jasim3

  • 1Department of Molecular and Medical Biotechnology, College of Biotechnology, Al-Nahrain University, Jadriya, Baghdad, Iraq.

Scientific Reports
|October 26, 2023
PubMed

Insights

Three-dimensional (3D) cell cultures and patient samples show similar epigenetic patterns, unlike traditional 2D cultures. This highlights 3D models

Area of Science:

  • Oncology
  • Cell Biology
  • Epigenetics

Background:

  • Drug development faces challenges with low clinical trial success rates.
  • Three-dimensional (3D) cell culture models offer improved tumor mimicry over traditional two-dimensional (2D) cultures.
  • Colorectal cancer (CRC) research increasingly utilizes advanced 3D models.

Purpose of the Study:

  • To comparatively analyze 2D and 3D colorectal cancer (CRC) cell cultures and Formalin-Fixed Paraffin-Embedded (FFPE) patient samples.
  • To investigate differences in cellular behavior, gene expression, and drug response between 2D and 3D models.
  • To evaluate epigenetic variations, including methylation and microRNA expression, across different culture models.

Main Methods:

  • Comparative analysis of 2D and 3D CRC cell cultures.
  • Evaluation of Formalin-Fixed Paraffin-Embedded (FFPE) patient samples.
  • Cell proliferation, cell death, gene expression (RNA sequencing), methylation patterns, and microRNA profiling were assessed.
  • Bioinformatic analyses were employed for transcriptomic data interpretation.

Main Results:

  • 3D cultures exhibited significant differences (p < 0.01) in proliferation, cell death, tumorgenicity gene expression, and drug responsiveness compared to 2D cultures.
  • 3D cultures and FFPE samples shared similar methylation patterns and microRNA expression, contrasting with 2D cultures.
  • Transcriptomic analysis revealed significant gene expression profile dissimilarities (p-adj < 0.05) between 2D and 3D cultures, impacting multiple pathways.

Conclusions:

  • 3D cell culture models more accurately reflect in vivo tumor characteristics than 2D cultures.
  • Epigenetic profiles (methylation, microRNA) of 3D cultures align with patient FFPE samples, underscoring their translational relevance.
  • Significant transcriptomic variations highlight the importance of choosing appropriate cell culture models for anticancer drug development and research.

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