3D tumor models
Human tumor architecture for stronger clinical relevance
To truly understand how cancer therapeutics will behave in patients, developers need to go straight to the source. But testing done in the drug discovery phase cannot easily replicate this. That is why our organ-specific, in vitro models were designed to better mimic the physiological environment of human tissue. Armed with clinically representative data, developers can make better-informed decisions, sooner.
zPREDICTA is now Predictive Oncology.
Mimics complex human organ environment
Our patient-derived 3D tumor models recreate the complex human organ microenvironment to preserve critical interactions between a tumor and its surroundings—cellular and extracellular—in an organ- and disease-specific manner.
Preserves cellular composition
Our 3D tumor models support long-term survival and proliferation of malignant and non-malignant cellular components of tissues. This includes tumor cells, stroma and immune components.
Exhibits high correlation with clinical response
Cancer drug compounds tested in our models exhibit high correlation with clinical responses.
Fully customizable
Our tumor models are fully customizable to the tissue of interest. They are compatible with multiple cell types, drug classes—including small molecules, antibodies, antibody-drug conjugates, immunomodulatory agents, CAR-T cells, etc.—and downstream analysis methods.
Increasing relevance, improving outcomes
Drug candidate screening
Identification
of new drug
combinations
Rescue failed
drug candidates
Evaluation
of off-target
toxicity
Target discovery
Biomarker discovery
What can 3D tumor models do for you?
Bringing the human element into early drug discovery can help greatly bolster success during clinical trials. Our unique multi-component, organ-specific extracellular matrix (ECM) enables that—because it accurately reconstructs human tissue architecture for more accurate predictions of clinical outcomes. By testing drug candidates via a more clinically representative method, we optimize candidate screening, evaluation of off-target toxicity and biomarker discovery—all to boost the odds of ultimate success in clinical trials.
Shelved drugs could hold strong promise in the fight against cancer—but identifying opportunities with a high degree of confidence can be challenging. With patient-derived 3D tumor models, you will get pre-clinical data that is more representative of what you may see in patients during clinical trials—so you can move forward with a higher degree of confidence.
- Screen therapeutics and drug combinations (small molecules, antibodies, biologics)
- Evaluate immuno-oncology agents (antibody-drug conjugates (ADC), bi/tri-specifics, CAR-T cells)
- Ascertain bystander effect and remodeling of tumor microenvironment
- Discover new targets in primary and metastatic tumors
- Determine mechanism(s) of action and immune-regulation
Talk to us about 3D tumor models today.
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3D tumor model resources
In this webinar we summarize the current state of 3D culture technologies and highlight relevant applications of each platform. Human cells have been grown in culture since the 1950s. However,...
In this webinar we will discuss how 3D cell culture overcomes the limitations of traditional 2D culture when it comes to predicting the therapeutic potential of pharmaceutical compounds in development....
In this webinar we discuss our 3D disease models and their use in drug development emphasizing the capacity of our patient-derived platform to mimic the native architecture of human tissues...
JOINT WEBINAR WITH LABCORP DRUG DEVELOPMENT In this webinar we will discuss the advantages of a 3D culture approach over the traditional methods, with particular emphasis on the importance of...
The high rates of clinical failure of new anticancer drugs highlight that the standard approaches to evaluate drug efficacy do not faithfully reproduce human biology, and thus, do not accurately...