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AXTEX-4D: A Three-Dimensional Ex Vivo Platform for Preclinical Investigations of Immunotherapy Agents
Ambica Baru1, Swati Sharma1, Biswa Pratim Das Purakayastha1
1Mammalian Cell Culture Lab, Premas Biotech Pvt, Ltd., Sector IV, IMT, Manesar, India.
Abstract:
The latest advancements in oncology are majorly focused on immuno-oncology (I-O) therapies. However, only ∼7% of drugs are being approved from the preclinical discovery phase to phase 1. The most challenging issues in I-O are the development of active and efficient drugs in an economically feasible way and in a comparatively short time for testing and validation. This mandates an urgent need for the upgradation of preclinical screening models that closely mimic the in vivo tumor microenvironment (TME). The established and most common methods for investigating the tumoricidal activity of I-O drugs are either two-dimensional systems or primary tumor cells in standard tissue culture vessels. Unfortunately, they do not mimic the TME. Consequently, the more in vivo-like three-dimensional (3D) multicellular tumor spheroids are quickly becoming the favored model to examine immune cell-mediated responses in reaction to the administration of I-O drugs. Despite many advantages of multicellular spheroids, challenges (e.g., incompatibility of quantitative assays with spheroid platforms) are still involved in the tedious procedures required for the spheroid culture that is holding back the biological community from adapting the well-recognized spheroid tissue models for studying drug delivery more widely. To this end, we have demonstrated the utility of the 3D ex vivo oncology model, developed on our novel AXTEX-4D™ platform to assess therapeutic efficacies of I-O drugs by investigating immune cell proliferation, migration, infiltration, cytokine profiling, and cytotoxicity of tumor tissueoids. The platform eliminates the need for additional biomolecules such as hydrogels and instead relies on the cancer cells themselves to create their own gradients and microenvironmental factors. In effect, the more comprehensive and ex vivo-like immune-oncology model developed on AXTEX-4D platform can be utilized for high-throughput screening of immunotherapeutic drugs.
Insights
Developing new immuno-oncology (I-O) drugs is challenging. This study introduces a 3D ex vivo oncology model on the AXTEX-4D platform for efficient preclinical screening of I-O therapies.
Area of Science:
- Oncology
- Immunology
- Biotechnology
Background:
- Immuno-oncology (I-O) therapies represent a significant advancement in cancer treatment.
- High attrition rates in preclinical drug development necessitate improved screening models.
- Current 2D cell cultures and standard spheroids poorly mimic the in vivo tumor microenvironment (TME).
Purpose of the Study:
- To develop and validate a novel 3D ex vivo oncology model for assessing I-O drug efficacy.
- To overcome limitations of existing spheroid models in mimicking the TME and facilitating quantitative assays.
- To enable high-throughput screening of immunotherapeutic drugs.
Main Methods:
- Utilized the AXTEX-4D platform to create a 3D ex vivo oncology model using cancer cells.
- Assessed immune cell proliferation, migration, and infiltration within the model.
- Performed cytokine profiling and measured cytotoxicity of tumor tissueoids.
- The platform self-generates microenvironmental factors without additional biomolecules.
Main Results:
- The AXTEX-4D platform successfully created a comprehensive 3D ex vivo model mimicking the TME.
- Demonstrated the model's utility in evaluating immune cell responses and therapeutic efficacies of I-O drugs.
- The model supports various quantitative assays, addressing limitations of traditional spheroid cultures.
Conclusions:
- The AXTEX-4D platform offers a robust and efficient 3D ex vivo model for preclinical I-O drug screening.
- This advanced model facilitates the development of active, efficient, and cost-effective I-O therapies.
- The model supports high-throughput screening, accelerating the validation of novel immunotherapeutics.
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