| Literature DB >> 26042126 |
Soledad Mac Keon1, María Sol Ruiz2, Silvina Gazzaniga3, Rosa Wainstok4.
Abstract
Dendritic cells (DCs) play a pivotal role in the orchestration of immune responses, and are thus key targets in cancer vaccine design. Since the 2010 FDA approval of the first cancer DC-based vaccine (Sipuleucel-T), there has been a surge of interest in exploiting these cells as a therapeutic option for the treatment of tumors of diverse origin. In spite of the encouraging results obtained in the clinic, many elements of DC-based vaccination strategies need to be optimized. In this context, the use of experimental cancer models can help direct efforts toward an effective vaccine design. This paper reviews recent findings in murine models regarding the antitumoral mechanisms of DC-based vaccination, covering issues related to antigen sources, the use of adjuvants and maturing agents, and the role of DC subsets and their interaction in the initiation of antitumoral immune responses. The summary of such diverse aspects will highlight advantages and drawbacks in the use of murine models, and contribute to the design of successful DC-based translational approaches for cancer treatment.Entities:
Keywords: adjuvants; cancer immunotherapy; dendritic cell maturation; dendritic cell subsets; dendritic cell-based vaccines; dendritic cells
Year: 2015 PMID: 26042126 PMCID: PMC4438595 DOI: 10.3389/fimmu.2015.00243
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Advice for choosing murine models for DC-based tumor immunotherapy.
| Murine model | Applications | Disadvantages |
|---|---|---|
| Tumor cell lines transplanted into singeneic strains | Evaluate | Different pattern of genetic alterations than human tumors ( |
| DC activation | ||
| DC targeting | ||
| Evaluate tumor growth and response to treatment | ||
| T cell activation | ||
| Assess antibody production | ||
| Variable immunogenicity among cell lines | ||
| Variable responses depending on the genetic background of the recipient strain. When choosing one model, there is a biased immune response (genetically identical hosts) | ||
| Rapid | ||
| GEMs | Mice are immunocompetent; so, immune responses can be studied | Technical difficulty and high cost |
| Human genetic alterations can be induced in the tissue of origin ( | Tumor development is slow and variable ( | |
| Tumoral protection can be assessed using a model that recapitulates human clinical stages, including variability in tumor phenotype. Appropriate to study therapeutic approaches ( | ||
| Xenografts in immunodeficient strains | Study human cancer cells in an environment that better reflects tumoral complexity and architecture ( | Immune protection |
| Human tumor stroma and lymphocytes are lost in the initial passages ( | ||
| Stromal, endothelial, and residual immune cells are from murine origin ( | ||
| Selective pressures induce clonal expansion of an original polyclonal tumor ( | ||
| Low engraftment of human tumors and immune cells | ||
| Xenografts in NOD-SCID IL2RY−/−humanized mice | Assess the patient’s immune response to the tumor | Hypoplastic peripheral lymph nodes (impaired antibody class switch and affinity maturation) ( |
| Study of human tumor-stromal interactions (human tumor microenvironment) | ||
| Test therapeutic efficacy of vaccines ( | ||
| Study human DC subsets | ||
| Graft-versus-host disease generated by human T cells reacting to murine leukocyte antigen molecules. NOD-SCID IL2Ry−/−strains lacking MHC-I or MHC-II have recently been developed ( | ||
| After engraftment, low numbers of human myeloid CD11c+CD86+ DCs, which fail to produce IL12p40 or IFN-γ after CD40 stimulation ( | ||
| To facilitate the engraftment of different immune cells, GEMs expressing human cytokines ( |
Figure 1Description of ontogeny, phenotype, and patterns of PRR expression in murine DC subsets in the steady state. Comparison to the equivalent human subsets and to murine in vitro-derived DCs is provided (61, 62, 66–77).