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Designed Methods for the Sorting of Tertiary Lymphoid Structure-Immune Cell Populations
Priyanka Devi-Marulkar1,2,3,4, Hélène Kaplon1,2,3, Marie-Caroline Dieu-Nosjean1,2,3
1Cordeliers Research Center, Laboratory "Cancer, Immune Control and Escape", Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS 1138, Paris, France.
Methods in Molecular Biology (Clifton, N.J.)
|August 25, 2018
Summary
Investigating the tumor microenvironment in non-small cell lung cancer (NSCLC) is crucial. This study uses novel flow cytometry methods to analyze immune cell roles, impacting cancer progression and patient survival.
Area of Science:
- Immunology
- Oncology
- Cell Biology
Background:
- The tumor microenvironment (TME) comprises diverse immune and non-immune cells.
- Immune cell composition significantly influences solid tumor growth and patient survival.
- While T-helper type 1 (Th1) and memory CD8+ T cells correlate with survival, the prognostic value of regulatory T cells (Treg), B cells, and gamma delta (γδ) T cells is debated.
Purpose of the Study:
- To develop and apply novel flow cytometry strategies for isolating specific immune cell populations within the TME.
- To evaluate the prognostic significance of regulatory T cells (Treg), B cells, and gamma delta (γδ) T cells in non-small cell lung cancer (NSCLC).
Main Methods:
- Utilized advanced flow cytometry techniques for precise sorting of immune cell subsets.
- Applied these methods to analyze immune infiltrates in non-small cell lung cancer (NSCLC) samples.
Main Results:
- Successfully established flow cytometry-based strategies for isolating key immune populations.
- Initiated the evaluation of the distinct roles of Treg, B cells, and γδ T cells in NSCLC.
Conclusions:
- Novel flow cytometry methods enable detailed analysis of immune cell populations in NSCLC.
- Further research is needed to fully elucidate the prognostic impact of Treg, B cells, and γδ T cells in NSCLC.
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