Neutrophil dynamics in the tumor microenvironment determines therapy efficacy and is regulated by microbiota

Autor: Romina E Araya, Khiem C Lam, April Huang, Quanyi Chen, Martina Di Modica, Amelie Lopes, Howard Yang, Huaitian Liu, Maxwell P. Lee, Romina S. Goldszmid
Rok vydání: 2022
Předmět:
Zdroj: The Journal of Immunology. 208:120.03-120.03
ISSN: 1550-6606
0022-1767
DOI: 10.4049/jimmunol.208.supp.120.03
Popis: Neutrophils play an important role in cancer progression and both pro- and antitumorigenic functions have been described. However, their role in response to therapy and whether environmental signals modulate their function in the tumor microenvironment (TME) remain unclear. Here, we show that neutrophil content in the TME defines the response to chemo- and immunotherapy. Neutrophil depletion or recruitment blockade impaired the response, while overexpression of neutrophil-attracting chemokines rendered non-responder tumors susceptible to therapy. Importantly, we demonstrate that tumor neutrophils are a heterogeneous and dynamic population that differ from those found in blood or bone marrow, and we identified a neutrophil subset that correlates with therapy response. Additionally, we found that mice lacking microbiota have impaired neutrophil recruitment and function associated with reduced therapy efficacy. Mechanistically, administration of a microbiota-derived NOD2 ligand to mice lacking microbiota was sufficient to restore neutrophil dynamics and response to therapy. We confirmed tumor neutrophil heterogeneity in cancer patients and showed that while total neutrophil content had no predictive value for patient’s overall survival, two specific neutrophil subsets associated with better outcome for pancreatic cancer patients. Remarkably, the subset enriched in non-responder germ-free tumors in our preclinical studies associated with a similar poor outcome in colorectal cancer patients. Collectively, our findings highlight the importance of characterizing neutrophil heterogeneity in the TME and the contribution of microbiota in shaping these cells to predict a successful therapy outcome. Supported by NIH Intramural Program
Databáze: OpenAIRE