Adoptive cell therapy (ACT) with antigen-specific T cells has shown remarkable clinical success; however, approaches to safely and effectively augment T cell function, especially in solid tumors, remain of great interest. Here we describe a strategy to 'backpack' large quantities of supporting protein drugs on T cells by using protein nanogels (NGs) that selectively release these cargos in response to T cell receptor activation. We designed cell surface-conjugated NGs that responded to an increase in T cell surface reduction potential after antigen recognition and limited drug release to sites of antigen encounter, such as the tumor microenvironment. By using NGs that carried an interleukin-15 super-agonist complex, we demonstrated that, relative to systemic administration of free cytokines, NG delivery selectively expanded T cells 16-fold in tumors and allowed at least eightfold higher doses of cytokine to be administered without toxicity. The improved therapeutic window enabled substantially increased tumor clearance by mouse T cell and human chimeric antigen receptor (CAR)-T cell therapy in vivo.

Nanomedicines (NMs) offer new solutions for cancer diagnosis and therapy. However, extension of progression-free interval and overall survival time achieved by Food and Drug Administrationapproved NMs remain modest. To develop next generation NMs to achieve superior anticancer activities, it is crucial to investigate and understand the correlation between the physicochemical properties of NMs (particle size in particular) and their interactions with biological systems to establish criteria for NM optimization. Here, we systematically evaluated the size-dependent biological profiles of three monodisperse drug-silica nanoconjugates (NCs; 20, 50, and 200 nm) through both experiments and mathematical modeling and aimed to identify the optimal size for the most effective anticancer drug delivery. Among the three NCs investigated, the 50-nm NC shows the highest tumor tissue retention integrated over time, which is the collective outcome of deep tumor tissue penetration and efficient cancer cell internalization as well as slow tumor clearance, and thus, the highest efficacy against both primary and metastatic tumors in vivo.O ver the last two to three decades, consensus has been reached that the size of anticancer nanomedicines (NMs) plays a pivotal role in determining their biodistribution, tumor penetration, cellular internalization, and clearance from blood plasma and tissues as well as excretion from body, and thus, it has significant impact on overall therapeutic efficacy against cancers (1-7). Although most clinically approved anticancer NMs have size ranging from 100 to 200 nm (8, 9), recent studies showed that anticancer NMs with smaller sizes exhibited enhanced performance in vivo, such as greater tissue penetration and enhanced tumor inhibition, particularly those with size around or smaller than 50 nm (5-7, 10-12). As such, there has been a major push recently in the field of anticancer NM to miniaturize nanoparticle (NP) size using novel chemistry and engineering design (13-17). One unanswered question, however, is whether additional miniaturization of NM size would be necessary and result in additional improved anticancer efficacy. Widely evaluated small molecular therapeutics (<1,500 Da and <2 nm) can traverse most tumor tissues freely (18). However, they diffuse away from tumor tissues rapidly and get cleared primarily into tumor blood capillaries, leading to minimal tumor accumulation (18). Macromolecules of relatively low molecular masses (<40,000 Da and <10 nm) were also shown to have low overall tumor retention because of both rapid permeation into and clearance from tumor tissues, behaving to some extent like small molecule drugs (18,19). In conjunction with the renal clearance threshold (<10-15 nm) (20, 21) and interstitial/lymphatic fenestration (<20 nm) (22) for NPs, it becomes essential to carefully and comprehensively evaluate the in vivo behavior and anticancer efficacy of NMs in the size range of 20-50 nm to determine the optimal size of NM for cancer therapy.In this study, we used monodisper...