
Many promising cancer therapies show activity in conventional cell lines but fail to translate because they don't capture the complexity of human tumors. Tumor heterogeneity, resistance mechanisms and the tumor microenvironment can all influence therapeutic response and lead to costly late-stage setbacks.
Our oncology experts use disease-relevant in vitro models, advanced imaging, transcriptomics and translational biology to generate decision-grade data that gives you greater confidence in candidate selection, mechanism of action and progression towards the clinic.
Despite major advances in precision oncology, many promising drug candidates fail during development because preclinical models do not accurately predict clinical performance. Common challenges include:
Through designing studies around your biological questions, not simply running assays, our scientists help you overcome these challenges, so you generate evidence that supports confident development decisions.
| Your challenge | How we help | Benefit to your program |
|---|---|---|
| Traditional cancer models don't predict clinical response. | Human-relevant 2D and 3D tumor models, spheroids, and co-cultures. | Improve translational relevance and reduce late-stage attrition. |
| Difficult to understand mechanism of action. | Functional biology, live-cell analysis, pathway studies, and transcriptomics. | Build stronger evidence for investors, partners, and regulators. |
| Need to model the tumor microenvironment. | Stromal, immune, and tumor co-culture systems. | Better understand therapeutic activity in physiologically relevant systems. |
| Unsure which candidate should progress. | Comparative efficacy, potency, and biomarker studies. | Make evidence-based go/no-go decisions. |
| Need a deeper understanding of tumor biology. | High-content imaging, RNA sequencing, and spatial biology. | Generate richer biological insights. |
| Developing immunotherapies or combination treatments. | Integrated immuno-oncology expertise. | Evaluate immune-mediated mechanisms alongside tumor biology. |
Supporting oncology programs with disease-relevant models and advanced biological technologies that deliver meaningful, predictive insight early in development. Our oncology CRO services combine decades of scientific expertise with advanced in vitro platforms to help you navigate biological complexity, avoid common development pitfalls, and generate the robust data needed to progress your drug to market with confidence.
| Cancer models | Functional technologies | Translational biology |
|---|---|---|
| Cancer cell lines | Live-cell analysis | Bulk RNA sequencing |
| 3D tumor spheroids | High-content imaging | Single-cell transcriptomics |
| Tumor microenvironment models | Phenotypic screening | Spatial biology |
| Stromal co-cultures | Mechanism of action studies | Biomarker discovery |
| Immune-competent models | Drug resistance studies | Clinical translation support |
Many cancer drugs demonstrate promising activity in conventional monolayer cultures but fail when exposed to the complexity of real tumors.
Our oncology platforms incorporate relevant 3D systems and immune-competent models as well as clinically relevant biology to better predict therapeutic performance before costly in vivo or clinical studies. Download the assay card: Advancing Drug Discovery with 3D Spheroid Cancer Models.

Available models include:
A suite of automated tools supports in-depth profiling of the tumor microenvironment.
Understanding why a therapeutic works is just as important as demonstrating efficacy. Our scientists combine multiple technologies to characterize:
This generates mechanistic evidence that supports candidate progression and regulatory discussions.
Cancer biology is driven by interactions between tumor cells, stromal cells and immune cells. We build increasingly physiologically relevant models incorporating:

For therapies targeting immune pathways, our specialist immuno-oncology team provides additional expertise in checkpoint biology, macrophage biology, exhausted T cells and immune suppression models.
Making confident development decisions requires more than a single assay. Our integrated biology platforms combine advanced technologies with scientific expertise to generate complementary datasets that provide a comprehensive understanding of drug activity, mechanism of action and phenotypic response across both 2D and 3D disease-relevant models. The result is robust, decision-grade data that helps reduce development risk and accelerate your oncology program.
Monitor cell proliferation, apoptosis, migration, and morphological changes in real time using both 2D cultures and 3D spheroid models. Continuous, high-content analysis provides dynamic insights into drug activity, pathway modulation, and mechanism of action to support candidate selection and optimization.
Characterize complex biological responses using automated, high-throughput imaging across 2D and 3D in vitro models. Quantitative phenotypic and functional data enables precise evaluation of drug effects, supporting faster and more informed decision-making throughout oncology discovery.
Reveal the molecular mechanisms driving therapeutic response with bulk RNA sequencing and single-cell transcriptomics. From comprehensive lead characterization and drug repositioning to resolving tumor heterogeneity and identifying distinct malignant, immune, and stromal cell populations, transcriptomics provides the insights needed to strengthen translational confidence.
Understand not only which biomarkers are expressed, but where they are expressed within the tumor microenvironment. By linking molecular information with tissue architecture, spatial biology delivers valuable insights into cell interactions, biomarker localization, and therapeutic response to improve translational relevance.
Our oncology expertise supports research across:
A: We support cancer drug discovery using established cancer cell lines, advanced 3D tumor spheroids, stromal co-cultures and bespoke disease-relevant models selected to match your therapeutic hypothesis.
A: Yes. We combine oncology expertise with dedicated immuno-oncology capabilities including tumor-immune interaction models, T cell assays, macrophage biology and immune checkpoint studies.
A: Yes. Our scientists routinely design custom assays for novel targets, emerging therapeutic modalities and complex biological mechanisms.
A; Our oncology platform includes live-cell analysis, high-content imaging, transcriptomics, spatial biology, functional assays and mechanistic profiling.
A: We use disease-relevant models, mechanism-led study design, advanced biological technologies and clinically relevant biomarkers to generate evidence that better predicts therapeutic success.

