Patient-derived tumor explant models of tumor immune microenvironment reveal distinct and reproducible immunotherapy responses

Rita Turpin, Karita Peltonen, Jenna H. Rannikko, Ruixian Liu, Moon Hee Lee, Minna Mutka, Panu Kovanen, Tuomo Meretoja, Johanna Mattson, Petrus Järvinen, Tuomas Mirtti, Pia Boström, Ilkka Koskivuo, Anil K. Thotakura, Jeroen Pouwels, Maija Hollmén, Satu Mustjoki, Juha Tapio Klefström

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

Tumor-resident immune cells play a crucial role in eliciting anti-tumor immunity and immunomodulatory drug responses, yet these functions have been difficult to study without tractable models of the tumor immune microenvironment (TIME). Patient-derived ex vivo models contain authentic resident immune cells and therefore, could provide new mechanistic insights into how the TIME responds to tumor or immune cell-directed therapies. Here, we assessed the reproducibility and robustness of immunomodulatory drug responses across two different ex vivo models of breast cancer TIME and one of renal cell carcinoma. These independently developed TIME models were treated with a panel of clinically relevant immunomodulators, revealing remarkably similar changes in gene expression and cytokine profiles among the three models in response to T cell activation and STING-agonism, while still preserving individual patient-specific response patterns. Moreover, we found two common core signatures of adaptive or innate immune responses present across all three models and both types of cancer, potentially serving as benchmarks for drug-induced immune activation in ex vivo models of the TIME. The robust reproducibility of immunomodulatory drug responses observed across diverse ex vivo models of the TIME underscores the significance of human patient-derived models in elucidating the complexities of anti-tumor immunity and therapeutic interventions.
Originalspråkengelska
Artikelnummer2466305
TidskriftOncoImmunology
Volym14
Nummer1
Antal sidor12
ISSN2162-4011
DOI
StatusPublicerad - 2025
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • Cancer Immunotherapy and Biomarkers
  • 3122 Cancersjukdomar

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