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The tumor microenvironment is a complex network of interacting cells composed of immune and nonimmune cells. It has been reported that the composition of the immune contexture has a significant impact on tumor growth and patient survival in different solid tumors. For instance, we and other groups have previously demonstrated that a strong infiltration of T-helper type 1 (Th1), memory CD8+ T cells, and immune cells organized into tertiary lymphoid structures is associated with the long-term survival of cancer patients. Nevertheless, the prognostic value of the other immune populations, namely regulatory T cells (Treg), B cells, and gamma-delta (γδ) T cells remains a matter of debate. Herein, we describe novel flow cytometry-based strategies to sort out these different immune populations to evaluate their role in non-small-cell lung cancer (NSCLC).

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Method Development for Sorting Immune Cell Populations Within Tertiary Lymphoid Structures

  • 实验方案

  • 发表日期：

    2025年

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  • Priyanka Devi-Marulkar,
  • Hélène Kaplon,
  • Marie-Caroline Dieu-Nosjean,
  • Myriam Lawand

摘要

The tumor microenvironment is a complex network of interacting cells composed of immune and nonimmune cells. It has been reported that the composition of the immune contexture has a significant impact on tumor growth and patient survival in different solid tumors. For instance, we and other groups have previously demonstrated that a strong infiltration of T-helper type 1 (Th1), memory CD8+ T cells, and immune cells organized into tertiary lymphoid structures is associated with the long-term survival of cancer patients. Nevertheless, the prognostic value of the other immune populations, namely regulatory T cells (Treg), B cells, and gamma-delta (γδ) T cells remains a matter of debate. Herein, we describe novel flow cytometry-based strategies to sort out these different immune populations to evaluate their role in non-small-cell lung cancer (NSCLC).