A revolutionary live tumor diagnostic platform bringing insights to cancer treatment decisions and accelerating immuno-oncology drug development.
Cybrid utilizes a unique process and proprietary instruments to accomplish our mission. After fragmentation, live tumor fragments are interrogated against multiple compounds and combinations. Data is available for export as it is generated via the CybridView web portal.
Human Live Tumor Fragments (hLTF)™ are taken directly from a patient and maintain the tumor microenvironment and the tumor architecture.
Cybrid™ incorporates a comprehensive suite of assays to help understand the mechanisms of action of immunotherapeutic compounds indicating drug response.
Profiling of innate and adaptive immune response using secreted factors
Measurement of cellular subsets and activation markers
Detection of immune response at the mRNA level
High-content 3D imaging over time with both intrinsic and extrinsic fluorescence
LTFs derived from tumor biopsies retain the native architecture and microenvironment of the parental tumor, including immune cells, which are required to predict response to immunotherapy.
Unlike spheroids or organoids, there is no requirement for the expansion of cells or reconstitution of immune cells, enabling a faster turnaround time to characterize the MOA and/or efficacy of candidate therapeutics.
Additionally, precision fragmentation of tumor biopsies eliminates the need for non-specific enzymatic dissociation of tumor tissue, which can disrupt/alter the native tumor architecture.
Conventional techniques such as confocal microscopy can be destructive and have limited penetration into the tissue sample.
Elephas’ multiphoton imaging is non-destructive, enables real-time monitoring of immune cells, and allows label-free imaging at significantly higher penetration depths to investigate LTFs in 3D.
Multiplexed assays are routinely used to profile cell markers, cytokines, chemokines, and mRNA expression to determine response to drugs. However, these assays are typically performed in the absence of spatial context.
By combining various assessments with multiphoton imaging, we can analyze spatial and temporal information at single cell resolution to understand the impact of drugs on cell-cell interactions, cell morphology, and the arrangement of cells in LTFs over time.
The combination of these techniques also generates a rich and diverse dataset that can be used to train AI algorithms to predict response to different therapies.