Activation of CD8⁺ T Cells in the Human Ex Vivo Lung Tumor Microenvironment Using Anti‐CD3/CD28 and Nivolumab
Year: 2025
Type: article
Abstract: ABSTRACT Despite advancements in immunotherapies, the diversity of the tumor microenvironment remains a challenge for cancer treatment. To elucidate microenvironment‐specific differences in antitumor responses, we established patient‐derived ex vivo tumor‐lung slices. We analyzed immune activation profiles after treatment with anti‐CD3/CD28 and the checkpoint inhibitor Nivolumab. Lung slices from non‐tumor, tumor‐adjacent, tumor‐border, and tumor‐central tissue were generated and assessed for viability, cell composition, and immune competence via flow cytometry, soluble factor secretion, and bulk RNA‐sequencing. The tumor‐border contained the highest number of immune cells (8.3‐fold vs. non‐tumor), secreted tumor markers (S100 and CA15‐3), and exhibited high levels of inflammatory mediators (IFNγ, IL‐6, and IL‐2). Treatment with anti‐CD3/CD28 increased the frequency of CD137 + /CD8 + T cells and induced cytokine responses dominated by IFNγ, IL‐2, and Granzyme B. While both non‐tumor and tumor‐border tissue responded to anti‐CD3/CD28, the intensities of immune responses were highly varied. Notably, treatment with Nivolumab induced an inflammatory response primarily in the tumor‐border evidenced by IFNγ, IL‐2, and Perforin secretion alongside increased expression of CD107a on CD8 + T cells, in a donor‐dependent manner. Taken together, these data demonstrate how tumor‐border tissue slices can be utilized to study T cell responses in the context of the patient‐specific tumor microenvironment.
Source: European Journal of Immunology
DOI: 10.1002/eji.70060
Authors: Tonia Bargmann, Sebastian Konzok, Renato Liguori, Maximilian Fuchs, Charline Sommer, Dirk Schaudien, Charlotte Schob, Stephan Halle, Christopher Werlein, Patrick Zardo, Lavinia Neubert, Danny Jonigk, Hans‐Gerd Fieguth, Fulvia Ferrazzi, Katherina Sewald, Susann Dehmel, Armin Braun
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,550
Award: G6496555215
OpenAlex ID: W4414168109
