APPLICATIONS

Therapy Response Evaluation
Assess pharmacological efficacy within
a spatially organized, multicellular microenvironment.

Evaluate Anti-Cancer Therapies in a Physiologically Relevant Model

Therapeutic responses are shaped not only by tumor cells, but also by their interactions with immune and stromal compartments. The TME-Chip provides a controlled, physiologically relevant microenvironment for evaluating these effects in a multicellular setting.

Experimental therapeutics can be introduced through microfluidic channels, enabling spatiotemporal control of drug exposure while cellular responses are monitored over time.



A Controlled, Multicellular Platform for Therapy Evaluation


The TME-Chip enables defined spatial organization of tumor, immune, and stromal cell populations while allowing soluble factors and cell-secreted molecules to diffuse between compartments.


Its micropillar architecture maintains baseline separation of cell populations while permitting single-cell migration, making it possible to study cell–cell interactions, migration kinetics, paracrine signaling, and localized therapeutic responses in a controlled microenvironment.

TYPICAL APPLICATIONS

Key Research Areas in Therapy Response Evaluation

Immunotherapy Evaluation

Study tumor–immune cell dynamics within a spatially organized 3D environment. Compartmentalized tumor cells and PBMCs enable investigation of paracrine signaling and immune-cell infiltration into the tumor compartment.

Responses can be evaluated using longitudinal live-cell imaging, flow cytometry, and spatially resolved immunofluorescence staining.


Key Readouts

  • Immune-cell infiltration 
  • Tumor–immune interactions
  • Immunophenotyping
  • Spatial IF staining
Combination Therapy Screening

Systematically evaluate combination treatment strategies by controlling therapeutic exposure through the microfluidic channels. The platform enables assessment of treatment effects across multiple cell populations within the same microenvironment.


Key Readouts

  • Tumor-cell viability
  • Immune-cell migration
  • Cytokine secretion
  • Target protein modulation
ADC Efficacy Assessment

Evaluate antibody–drug conjugate efficacy beyond conventional viability assays. Spatial immunofluorescence analysis enables target antigen expression and localization to be correlated with therapeutic cytotoxicity within the reconstructed tumor microenvironment.


Key Readouts

  • Target antigen expression
  • Spatial localization
  • Therapeutic cytotoxicity
  • Treatment response
Cell Therapy

Monitor the migration and effector function of engineered or primary therapeutic immune cells as they respond to tumor-derived chemokine gradients.

Cellular interactions can subsequently be characterized through imaging, flow cytometry, and secretome analysis.


Key Readouts

  • Cell migration
  • Effector function
  • Phenotypic changes
  • Secretome profiles

RESEARCH READOUTS

Comprehensive Analysis of Therapeutic Responses

Live-Cell Imaging

Monitor cellular migration, interactions, and treatment responses over time.

Flow Cytometry

Characterize cellular phenotypes and treatment-induced changes across different cell populations.

Cytokine Analysis

Quantify soluble signaling factors associated with immune responses and cell–cell communication.

Spatial Immunofluorescence

Visualize target expression and spatial distribution within the reconstructed microenvironment.

Drug Penetration & Delivery

Visualize how therapeutics distribute and penetrate into 3D tumor tissue

Context of Use

Investigate the transport, distribution, and retention of therapeutic agents within complex tumor tissues. Our TME-Chip enables visualization of drug movement across stromal barriers and assessment of factors that may limit therapeutic exposure in solid tumors.


Typical Applications

  • ADC penetration studies
  • Antibody distribution analysis
  • Nanoparticle delivery assessment
  • Drug transport optimization

Tumor Microenvironment Biology

Study tumor-stroma-immume interactions in a human-relevant model

Context of Use

Recreate the cellular complexity of the tumor microenvironment to investigate interactions among tumor cells, fibroblasts, immune cells, and extracellular matrix components. Our platform supports mechanistic studies of cancer progression, immune suppression, and therapeutic resistance.


Typical Applications

  • Tumor-immune interaction studies
  • Cancer-associated fibroblast research
  • Immune evasion mechanisms
  • Resistance biology

Multi-Omics and Biomarker Discovery

Connect functional drug response with molecular signature

Context of Use

Integrate TME-Chip response data with multi-omics profiles to identify predictive biomarkers, uncover response mechanisms, and generate translational insights for drug development.


Typical Applications

  • Biomarker discovery
  • Multi-omics integration
  • Response mechanism analysis
  • AI-assisted predictive modeling

Patient-Derived Translational Testing

Support translational research using patient-derived tumor cells, organoids, or clinical samples

Context of Use

Integrate patient-derived samples into a controlled TME-Chip system to evaluate clinically relevant treatment responses, uncover patient heterogeneity, and support biomarker-driven precision oncology.


Typical Applications

  • Patient-derived tumor models
  • Clinical sample evaluation
  • Biomarker validation
  • Precision oncology research

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