Immune profiling before treatment is predictive of TLR9-induced antitumor efficacy.

TLR9 targeting has been a dynamic research field with promising potential in tumor immunotherapy. However, why most patients do not respond to TLR9 agonists remains unknown. In our attempt to resolve this issue, we observed that anti-tumor response to our TLR9-targeting cancer nanomedicines varied according to the initial immune profile of the animals. Speculating that immune profiling before treatment, including the measurement of IFN-α, IL-12, IL-6, TNF, tumor-infiltrating lymphocytes and spleen-residing lymphocytes, could be used to predictively distinguish responders from non-responders, we performed experiments in two different tumor models 4T1-BALB/c and B16-C57BL/6, to validate the hypothesis. Results confirmed that antitumor efficacy with respect to tumor growth, immune cell infiltration, and cytokines release, correlated with the different condition of individuals, as well as the categorization of the animals. This work suggests that immune profiling before treatment might be able to predict the antitumor efficacy of TLR9 agonists in vivo.