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.

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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