An optimized disaggregation method for human lung tumors that preserves the phenotype and function of the immune

Jon G Quatromoni1, Sunil Singhal1, Pratik Bhojnagarwala1

  • 1Departments of *Surgery and Medicine, University of Pennsylvania School of Medicine, and Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.

Insights

Preparing human lung tumors for immunology research is crucial. Current methods alter immune cell data, but a new gentle technique preserves cell integrity and surface markers for accurate immunologic studies.

Area of Science:

  • Immunology
  • Oncology
  • Biotechnology

Background:

  • Accurate immunologic studies rely on proper human tissue preparation.
  • Current human lung tumor disaggregation methods lack rigorous testing for data fidelity.
  • Existing techniques can alter immune cell composition and surface molecule expression.

Purpose of the Study:

  • To critically evaluate existing human lung tumor preparation techniques for immunologic studies.
  • To develop and validate a novel, optimized method for human lung tumor disaggregation.
  • To ensure the preservation of immune cell populations and surface marker integrity.

Main Methods:

  • Evaluation of current literature-based tissue disaggregation techniques for human lung tumors.
  • Development of a novel method combining gentle mechanical manipulation with an optimized enzyme cocktail at low doses.
  • Assessment of cell yield, viability, immune cell population retrieval, and surface marker expression.

Main Results:

  • Current methods effectively digest cellular attachments and extracellular matrices (ECMs).
  • Existing techniques frequently alter immune cell composition and/or surface molecule expression.
  • The novel method optimized cell yield and viability, retrieved all major tumor-associated cell populations, and maintained cell-surface marker expression.

Conclusions:

  • Established methods for human lung tumor processing can compromise immunologic data integrity.
  • A novel, rigorously tested disaggregation method was developed for human lung tumors.
  • This new approach ensures accurate immune cell profiling and functional analysis in tumor immunology research.

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