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Targeting the IL-1β pathway for cancer immunotherapy remodels the tumor microenvironment and enhances antitumor immune responses.

Rohan DiwanjiNeil A O'BrienJiyoung E ChoiBeverly NguyenTyler LaszewskiAngelo L GrauelZheng YanXin XuJincheng WuDavid A RuddyMichelle PiquetMarc R PelletierAlexander SavchenkoLaSalette CharetteVanessa Rodrik-OutmezguineJason BaumJohn M MillhollandConnie C WongAnne-Marie MartinGlenn DranoffIulian Pruteanu-MaliniciViviana CremascoCatherine Sabatos-PeyronPushpa Jayaraman
Published in: Cancer immunology research (2023)
High levels of IL-1β can result in chronic inflammation, which in turn can promote tumor growth and metastasis. Inhibition of IL-1β could therefore be a promising therapeutic option in the treatment of cancer. Here, the effects of IL-1β blockade induced by the monoclonal antibodies canakinumab and gevokizumab were evaluated alone or in combination with docetaxel, anti-PD-1, anti-VEGFα and anti-TGFβ treatment in syngeneic and humanized mouse models of cancers of different origin. Canakinumab and gevokizumab did not show notable efficacy as single-agent therapies; however, IL-1β blockade enhanced the effectiveness of docetaxel and anti-PD-1. Accompanying these effects, blockade of IL-1β alone or in combination induced significant remodeling of the tumor microenvironment (TME), with decreased numbers of immune suppressive cells and increased tumor infiltration by dendritic cells and effector T cells. Further investigation revealed that cancer-associated fibroblasts (CAFs) were the cell type most affected by treatment with canakinumab or gevokizumab in terms of change in gene expression. IL-1β inhibition drove phenotypic changes in CAF populations, particularly those with the ability to influence immune cell recruitment. These results suggest that the observed remodeling of the TME following IL-1β blockade may stem from changes in CAF populations. Overall, the results presented here support the potential use of IL-1β inhibition in cancer treatment. Further exploration in ongoing clinical studies will help identify the best combination partners for different cancer types, cancer stages and lines of treatment.
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