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Simulating tumor complexity: 3D pancreatic tumor spheroid model for improved drug screening
Bano Subia1, Ankit Patel2, Simran Nathwani2
1Zydus Research Centre, Zydus Life Sciences, Ahmedabad, Gujarat, 382210, India. subia.m.bano@zyduslife.com.
Human Cell
|August 23, 2025
Summary
Developing a 3D pancreatic tumor spheroid model improves preclinical drug screening. This advanced model better predicts therapeutic efficacy by evaluating the tumor microenvironment and biomarkers, unlike traditional 2D cultures.
Area of Science:
- Oncology
- Drug Discovery
- Biotechnology
Background:
- Traditional 2D cell cultures and animal models present limitations in preclinical drug screening due to physiological differences.
- High failure rates in clinical trials, particularly in oncology, stem from inadequate preclinical models that do not reflect human tumor complexity.
Purpose of the Study:
- To develop and validate a 3D pancreatic tumor spheroid model for more accurate preclinical drug evaluation.
- To assess the utility of this 3D model in predicting therapeutic responses, tumor microenvironment interactions, and biomarker expression.
Main Methods:
- Established 3D monocellular and multicellular pancreatic tumor spheroids using PANC-1 and PANC04.03 cell lines.
- Evaluated drug effects on cellular viability, spheroid shrinkage, and pre-vascularization.
- Assessed gene expression of cancer stem cell (CSC), epithelial-mesenchymal transition (EMT), and apoptotic markers via RT-qPCR.
Main Results:
- 3D spheroids demonstrated a more relevant platform for drug potency evaluation compared to 2D cultures.
- Significant differences in drug response and biomarker expression were observed between 2D and 3D models.
- The KRAS-G12D inhibitor MRTX1133 showed enhanced drug response profiles in 3D spheroids compared to 2D cultures.
Conclusions:
- 3D multicellular tumor models are crucial for comprehensive drug evaluation, offering a more physiologically relevant platform than 2D cultures.
- This 3D model has the potential to bridge the gap between in vitro preclinical studies and clinical outcomes in oncology drug development.

