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Cypre’s models go beyond spheroids and basic organoids—incorporating stromal fibroblasts, ECM tuning, and immune cells to recreate the tumor microenvironment (TME) in vitro. This layered architecture captures the real barriers to therapeutic efficacy, from immune suppression to delivery resistance.
Built for versatility, our models support the screening of small molecules, ADCs, bispecifics, checkpoint inhibitors, and novel combinations. Whether you're optimizing leads or exploring new indications, Cypre enables data-driven decisions across therapeutic classes.
From standardized cytokine profiling to high-content imaging and immune phenotyping, our platform delivers consistent, mechanistic readouts at scale—ready to support go/no-go decisions, regulatory filings, and partnership traction.
Our panels feature a curated set of tumor models spanning multiple indications, genetic backgrounds, and biomarker profiles—helping you assess drug performance across clinically relevant scenarios.
Each panel is built with quality-controlled processes to ensure uniform TME conditions, allowing for apples-to-apples comparisons across indications, targets, and drug classes.
Get clear insights into efficacy trends, resistance patterns, and predictive biomarkers that inform your next steps—whether it’s refining candidate selection, validating hypotheses, or identifying ideal responder populations.
Antibody-drug conjugates (ADCs) demand physiologically relevant models to test payload delivery, tumor penetration, and cytotoxic impact. Cypre’s 3D tumor organoids incorporate stromal density and immune suppression to replicate the barriers ADCs must overcome—delivering robust efficacy and MOA insights.
Here’s what we accomplished for Boehringer Ingelheim:
T cell engagers require immune-competent models to accurately capture activation, infiltration, and tumor cell killing. Cypre’s tri-culture platform—featuring tumor cells, fibroblasts, and PBMCs—enables detailed immunological profiling across a range of tumor indications.
Here’s what we accomplished for Takeda:
Many immunotherapies underperform in clinical trials due to inadequate preclinical modeling. Cypre’s 3D tumor microenvironment assays recreate immunosuppressive dynamics—providing early, predictive insights into responder identification and resistance mechanisms.
Here’s what we accomplished for Genentech:
Targeted therapies demand models that reflect real-world genetic complexity. Cypre’s 30- and 42-model PDX panels are genomically annotated to capture critical mutations—empowering sponsors to validate mechanism of action and therapeutic response with precision.
Here’s what we accomplished for Charles River Partners:
Combination regimens require clarity across complex interactions. Cypre’s platform integrates tumor, stromal, and immune compartments—capturing both direct cytotoxicity and immune-mediated responses to dual-modality therapies.
Here’s what we accomplished for an Emerging Biotech:
Cypre’s platform starts with patient-derived xenograft (PDX) cells and builds outward—layering in human fibroblasts, immune cells, and our proprietary VersaGel® hydrogel to recreate the tumor microenvironment with unprecedented realism. This tri-culture system mirrors the architecture, stiffness, and immune dynamics of human tumors, enabling predictive, reproducible insights into efficacy and mechanism of action—all without the need for animal models.
Schedule a ConsultationEach study follows a six-point serial dilution format across 96-well plates, delivering high-resolution, mechanistic insights at scale. From tumor killing and growth delay to cytokine profiling, immune infiltration, and flow-based phenotyping, our analytics package generates consistent, publication-ready data. Whether you're advancing ADCs, bispecifics, or novel immunotherapies, Cypre’s standardized readouts help you validate efficacy, uncover MOA, and move faster toward IND milestones.
Schedule a ConsultationCypre’s tumor panels—available in 5-, 30-, and 42-model formats—are genomically annotated and optimized for high-throughput pharmacology screening. Whether you’re prioritizing leads or generating MOA data for regulatory submission, our plug-and-play formats support rapid, reproducible insights. Flexible timelines, consistent outputs, and comprehensive analytics help you move from study initiation to strategic decision-making in as little as 30–45 days.
Schedule a ConsultationBoehringer Ingelheim partnered with Cypre to evaluate a panel of T cell engagers across diverse PDX-derived tumor models—each designed to simulate an immune-excluded tumor microenvironment. The objective: assess tumor killing, T cell infiltration, and immune activation markers with greater physiological relevance than standard in vitro systems.
Using our proprietary VersaGel® hydrogel and standardized analytics, Cypre delivered detailed efficacy and MOA insights—including CD3⁺/CD8⁺ infiltration and cytokine profiles—in under 45 days. These results helped refine Boehringer’s lead optimization strategy and supported critical go/no-go decisions.
Models Screened across multiple tumor types using the Cypre 3D PDX platform
High-content imaging, cytokines, and flow cytometry readouts delivered
Full reports returned within 6–9 weeks, supporting timely go/no-go decisions
Data used in ongoing preclinical planning and pipeline strategy


Most of our clients receive comprehensive data within 30 to 45 days, depending on the analytics selected. Efficacy-only studies typically take around 30 days, while MOA-inclusive panels may take closer to 6–9 weeks. We also run studies on a regular monthly cadence to help you hit critical timelines.


Each study includes efficacy readouts (tumor growth inhibition, cytotoxicity curves) and—if selected—mechanism of action (MOA) analytics such as T cell infiltration, cytokine profiling, and immune phenotyping. Our high-content image analysis and flow cytometry data can support both lead optimization and regulatory filings like INDs.


You can choose from our pre-configured panels (5, 30, or 42 models) or build a custom panel tailored to your indication or genetic targets (e.g., KRAS, BRCA1, EGFR). Our team can help you prioritize models based on genomic annotations, tumor type, and desired therapeutic class (ADC, immunotherapy, etc.).


Yes—combination screening is a core feature of our platform. Our 3D tumor models enable simultaneous testing of multiple agents, allowing you to assess synergistic effects, MOA interactions, and immune modulation in a biologically relevant microenvironment.


The process begins by completing a short intake form to identify your target tumor models, analytics, and timeline goals. Once your SOW is signed and compounds are received, we schedule your panel into our monthly workflow and deliver data on time. We’re happy to assist you at any step—from study design to data interpretation.
Partner with Cypre to co-develop translationally validated, IND-ready insights using our complete 3D tumor organoid platform. From immune profiling to custom panels, we’re built for collaboration.