Our tumour models are designed to integrate with established oncology drug discovery workflows and analytical platforms. Our models support a range of quantitative endpoints, enabling assessment of therapeutic response, mechanism of action, and tumour biology.
Demonstrated Reproducibility
Reproducible
Model Generation
Consistent model generation is critical for reliable drug discovery. We have demonstrated reproducible model production across both cancer cell line and patient-derived tumour models, with viability-based coefficients of variation below 15%.
Tumour Characterisation
Characterised Biological Composition
Flow cytometric analysis confirms retention of key tumour microenvironment populations, including tumour cells, fibroblasts, endothelial cells, immune populations, and cancer stem cell-associated populations.
Biologically Relevant Drug Response
Drug Response Evaluation
Our tumour models support evaluation of therapeutic response in biologically relevant systems.
These representative models recapitulate expected PARP inhibitor sensitivity associated with BRCA1 deficiency, consistent with established disease biology.
Advanced Imaging & Functional Analysis
Imaging-Based Analysis
Our tumour models are compatible with longitudinal live-cell imaging and high-content microscopy, enabling assessment of dynamic cellular behaviours and therapeutic response over time.
Assessment of compound penetration. Fluorescent imaging demonstrates small molecule penetration throughout 3D tumour models, supporting evaluation of drug distribution in complex tissues.
Dynamic cellular behaviour monitoring. Longitudinal imaging enables assessment of dynamic cellular behaviours, including migration and tumour microenvironment interactions.
Multi-Modal Analysis
Tumour models can be generated in formats optimised for imaging, biochemical, cellular, molecular, and spatial analyses, enabling comprehensive evaluation of therapeutic response and tumour biology.
Conventional preclinical models fail to capture the complexity of human tumours, contributing to poor clinical translation and costly late-stage attrition.
Technological Maturity
Advances in bioprinting now enable scalable, reproducible multicellular tumour models.
Regulatory Shift
FDA and UK roadmaps are accelerating adoption of human-relevant alternatives to animal testing.
The Opportunity
Human-relevant models have the potential to generate more predictive data and support better preclinical decision-making.
5%
Likelihood of oncology drug approval from phase I to market
Wong et.al., 2019. Jardim et.al., 2017
Carcinotech develops patient-derived 3D bioprinted tumour models designed to generate human-relevant efficacy data for oncology drug discovery.
Engineering the Next Generation of Cancer Models
Flexible Study Design
We support custom study design across cell line and patient-derived tumour models, enabling therapeutic evaluation, tumour microenvironment investigations, and translational oncology research.
Discuss Your Study
Whether you are evaluating therapeutic efficacy, investigating tumour biology, or developing next-generation oncology therapies, we can design studies tailored to your scientific objectives.