Melanoma-infiltrating dendritic cells: Limitations and opportunities of mouse models.

The infiltration of melanoma lesions by dendritic cells (DCs) has been suggested to play a tumorigenic role due to the capacity of DCs to induce tumor tolerance and promote angiogenesis as well as metastasis. However, it has also been shown that tumor-infiltrating DCs (TIDCs) induce antitumor responses and hence may be targeted in cost-effective therapeutic approaches to obtain patient-specific DCs that present relevant tumor antigens, without the need for ex vivo DC expansion or tumor antigen identification. Unfortunately, little is known about the composition, nature and function of TIDCs found in human melanoma. The development of mouse melanoma models has greatly contributed to the molecular understanding of melanoma immunology in mice, but many questions on TIDCs remain unanswered. Here, we discuss current knowledge about melanoma TIDCs in various mouse models with regard to their translational potential and clinical relevance.

Introduction

The incidence of cutaneous malignant melanoma has been steadily increasing over the last decades. While complete surgical excision yields high 5-y survival for patients with localized tumors exhibiting a depth < 0.75 mm, the outcome is poor for patients with a greater depth of invasion or bearing metastases. The development of novel therapeutic approaches is therefore of great importance. Interestingly, melanomas are relatively immunogenic tumors and sensitive to cytotoxic T lymphocyte (CTL)-mediated lysis. As dendritic cells (DCs) are the main antigen-presenting cell (APC) population capable of inducing CTLs, DC transfer, DC targeting and in situ DC induction, recruitment and/or activation have been explored as promising immunotherapeutic strategies against melanoma. The topical or intratumoral administration of DC-activating agents—including interferon α (IFNα), bacillus Calmette-Guérin (BCG), or purified Toll-like receptor (TLR) ligands such as imiquimod—are recommended as treatment options for patients with in-transit melanoma metastasis.- While this approach is relatively successful against cutaneous metastases, efficacy is limited for subcutaneous metastases. An improved understanding of the type, nature and functionality of TIDCs could lead to novel and more effective therapeutic approaches. To circumvent ethical issues and TIDC availability constraints associated with human research, various animal models for melanoma have been established in organisms including Xiphophorus, Danio rerio, guinea pigs, opossum and small rodents, all of which have unique advantages and disadvantages. The relevance of the model under examination depends on the questions to be answered and how closely the model mimics the histological, immunological and metastatic pattern observed in humans. To date, most work is performed in mice due to the availability of genetically modified animals, insights into mouse immunology, pathology and physiology and the plethora of mouse-specific research tools.

Here, we will briefly review the current knowledge of TIDCs obtained in the most common mouse melanoma models and the insight they have provided into the human disease.

Selection of Mouse Model for Melanoma

Melanoma models are generally divided into 3 different groups based on research focus: xenograft models, which allow for the study of tumor cell behavior; transplantation models, to study melanoma immunology; and genetically modified animal models, which focus on melanomagenesis. Pure chemical carcinogen-induced melanoma models have decreased in popularity as they have relatively low relevance to human disease and therefore will not be discussed further in this article.

Xenograft models consist of orthotopic or ectopic transplantation of human cancer cells or solid tumors into immunocompromised mice. The primary advantage of these models is the preservation of human cancer cell behavior, including metastatic potential and tissue preference. However, the absence of a functional immune system does not allow for the study of the interactions between tumors and immune cell subsets. While DC function is relatively normal in some immunocompromised mouse strains, various others—including those with a NOD.Cg-Prkdcscidil2rg background—exhibit defective DC development and function.- In addition, human tumor-derived mediators might affect the recruitment, retention, development and function of mouse DCs in a different fashion than their mouse homologs. The more recent development of human melanoma models in humanized mice- circumvents these issues and provides an intriguing platform for clinically relevant TIDC studies.

Syngenic transplantation models have been around since the identification of the Cloudman S91 melanoma in BDA/2 mice, Harding-Passey melanoma in BALB/c × DBA/2F1 mice and B16 melanoma in C57BL/6 mice.- B16 is currently the most widely used melanoma model and has the advantages that it expresses at least 5 homologs of the best characterized human melanoma antigens (gp100/pmel17, MART-1/MelanA, tyrosinase, TRP-1/gp75 and TRP-2/DCT), it is immunogenic and it displays metastatic behavior. The main drawback of this model is the rapid growth of the primary tumor, resulting in problems related to vascularization, necrosis and swift mortality that preclude the assessment of prolonged tumor burden on TIDC behavior. Nevertheless, most TIDC studies have been performed in B16 melanoma models.

Genetically engineered models (GEMM). The identification of genetic and epigenetic abnormalities in human melanomas has led to the development of genetically engineered mice with a heritable predisposition to the development of melanoma. The (tissue-specific) expression of oncogenes including Ret, mutant forms of (N/K/H)-Ras and Braf and Hgf, coupled or not to backcrossing in susceptible genetic backgrounds (Ink4a/Arf, Tp53, Cdkn2d, Cdkn2a, Cdk4, etc.) has yielded melanoma models with different latency, penetrance and metastatic potential (reviewed in refs. 18, 19). Although the distribution of melanocytes differs between mice and humans, these models have great clinical relevance as they are based on genes known to be involved in the genesis and progression of human melanoma, and can be easily combined with relevant environmental triggers such as UV irradiation, to accelerate melanoma incidence. Only recently the field has begun to use these models for TIDC studies.

Dendritic Cells

DCs are a heterogeneous population in terms of origin, morphology, phenotype and function. DCs are derived from common myeloid and lymphoid precursors and rely heavily on FLT3 ligand (FLT3L) and/or granulocyte macrophage colony-stimulating factor (GM-CSF) for their development.- DCs express on their surface MHC class I and class II molecules together with a wide variety of positive (CD40, CD80, CD86, CD137L, CD70) and negative (PDL1, PDL2) co-stimulatory molecules. In addition, DCs can produce a broad range of soluble pro-and anti-inflammatory mediators, including multiple cytokines and chemokines. T cells interacting with DCs via cognate TCR-peptide-MHC complexes will undergo apoptosis, anergy, or develop a regulatory phenotype if the balance of co-stimulation is tilted on the negative side. Conversely, if positive signals surpass an intrinsic threshold, T cells will undergo proliferation, differentiate and acquire effector functions. Immature DCs display great phagocytic functions, relatively poor antigen-presenting capacity and low levels of positive co-stimulatory molecules. Upon activation via innate receptors such as TLRs or NOD-like receptors (NLRs), pro-inflammatory cytokines or cross-linking of CD40, DCs mature, reduce their phagocytic potential, increase antigen-presenting capacity, upregulate co-stimulatory molecules, change their cytokine production profile (qualitatively and quantitatively) and migrate to draining (lymphoid) areas, where they interact with T cells.-

Cells with DC characteristics have been repeatedly described in human melanoma samples. Depending on study, markers used, localization and maturation status, DC infiltration has been linked to a positive- or negative prognostic outcome. The discrepancy in outcomes can be attributed to differences in clinical stages, the use of primary vs. metastatic lesions, as well as use of markers that are relatively non-specific or restrictive to a subpopulation of DCs.

Studies in several other tumor systems indicate that malignant cells inhibit dendropoiesis, decelerate DC differentiation and maturation, induce functional DC deficiencies and accelerate cell death in DCs or their precursors., The maintenance of an immature phenotype or the promotion of a tolerogenic one could lead to anergy/deletion of tumor-specific T cells and the induction of cells with immunosuppressive functions such as FOXP3+ regulatory T cells (Tregs). An inhibited DC differentiation might also contribute to the accumulation of myeloid-derived suppressor cells, as the latter generate from precursors that under physiological conditions would differentiate into DCs, macrophages and neutrophils. In addition, immature DCs and pre-DCs have been suggested to promote angiogenesis through the secretion of growth factors (i.e., vascular endothelial growth factor, VEGF) that directly act on the endothelium, or the production of mediators that enhance the sensitivity of endothelial cells to growth factors., Some studies suggest that DC precursors might even undergo endothelial transdifferentiation or provide a scaffold for subsequent lining by endothelial cells.

Murine and Human DC Populations

Recent genomic and proteomic approaches have discovered significant similarities between human and mouse DC populations,- thereby strengthening the relevance of TIDC research in mouse melanoma models. While several aspects of localization, surface marker and TLR expression, phagocytic potential and antigen presenting capacity are relatively comparable between some mouse and human DC subsets, these are not perfect matches and in some cases the equivalent populations are absent. We will briefly describe the mouse and human DC populations in the following sections.

Mouse DC populations

Under steady-state conditions, mouse DCs express Cd11c as well as MHC class II molecules and can be subdivided into plasmacytoid DC (pDCs) and conventional DCs (cDCs). pDCs express intermediate levels of Cd11c as well as high levels of Cd45ra (B220), Pdca1 (Cd317), Tlr1, Tlr2, Tlr4, Tlr7 and Tlr9, and play an important role in infection due to their capacity to produce large amounts of type I IFNs. Antigen presentation by pDCs is thought to be relatively poor. cDCs can be further subdivided into blood-derived resident cDCs and migratory cDCs.

Blood-derived resident cDCs are present in lymphoid tissues and encompass: (1) Cd11chighMHCII+Cd8α+CD205+Sirpα-Cd11b- (Cd8α DCs), which express Xcl1, Clec9A and often Cd103. Cd8α DCs express mRNAs coding for most TLRs except Tlr5 and Tlr7, and are characterized by high Tlr3 expression. These DCs have the greatest potential to prime CTLs against cell-associated antigens via cross-presentation, but have relatively low CD4+ T-cell activation potential; (2) Cd11chighMHCII+Cd8α-33D1+Sirpα+Cd11b+ (Cd11b DCs), which predominantly activate CD4+ T cells, have poor cross-presentation capacity and express most TLRs except Tlr3; (3) Cd11chighMHCII+ cells that lack Cd8α, Cd4 and Cd11b (generally termed “double” or “triple” negative DCs), which may or may not express Xcl1, Clec9A, Tlr3 and Cd103. DC subsets in this population have been shown to potently prime both CD4+ and CD8+ T cells against cell-associated antigens.-

Migratory DCs can be found in many organs and migrate upon activation into draining lymphoid areas.,, As this review focuses on melanoma we will limit our description to skin-resident DCs. Various populations of DCs have been described in non-inflamed mouse skin. Langerhans cells (LCs), Cd11b+Cd207+Cd103- DCs reside in the epidermis and express Tlr2, Tlr4 and Tlr9 but not Tlr7. The cross-presentation of cell-associated antigens by LCs has not been demonstrated, but LCs have the capacity to cross-present antigen associated with TLR ligands., In the dermis Cd11b+Cd207- dermal DC (dDCs) represent the major DC subset, whereas Cd207+Cd103+ dDCs and Cd207-Cd11b- dDCs represent ~20% of the entire dDC population. dDCs express most TLRs and the Cd103+ dDC population has been associated with the cross-presentation of cell-associated antigens.,,

The fact that distinct DC subsets share several surface markers and that their expression levels change upon activation complicate the identification of DC subsets. Environmental cues associated with inflammation or tumors can change the surface characteristics of DCs as well as their functional properties, adding another layer of complexity to identification of DCs.

Human DC populations

Like mouse DCs, human DCs are generally divided into pDCs and cDCs. pDCs are lineage negative (lin-) CD11c-HLA-DR+CD123+BDCA2/4+ and express high levels of TLR7 and TLR9., In contrast to mouse pDCs, human pDCs have been shown to cross-present cell-associated antigens., Human cDCs can be further divided based on their expression of BDCA-1 (CD1c) and BDCA-3 (CD141). On one hand, BDCA-1+ DCs are similar to mouse Cd11b DCs as they express SIRPα and CD11b, strongly respond to TLR1 and TLR6 agonists and promote CD4+ T-cell responses. On the other hand, BDCA-3+ DCs exhibit strong similarities with mouse Cd8α DCs and express CLEC9A, XCR1 and high levels of TLR3., It has recently been shown that BDCA-3 DCs have the greatest capacity for cross-presentation of all human DC subsets.-

LCs are the only DCs found in healthy human epidermis and comprise 2–8% of all epidermal cells. LCs express high levels of CD1a, MHC class II molecules, CD207 and EpCAM, and low levels of CD205 and the DC immunoreceptor (DCIR). Both DCIR and CD205 are associated with antigen uptake and induction of antigen-specific T-cell responses. LCs express mRNA coding for TLR1, TLR2, TLR5, TLR6 and TLR9 (but not for TLR4, TLR7 and TLR8). The number of dDCs populations described in humans has recently been expanded. The major dDC population is BDCA-1+, and most of these cells express CD11c while only about 50% of the BDCA-1+ population express CD1a. CD1c-BDCA-3+ dDCs represent about 10% of all CD11c+ dDCs and demonstrate superior cross-presentation of soluble antigens as compared with other DC populations. Most dDCs express mRNA coding for TLR1, TLR2, TLR4, TLR8 and TLR10 but the exact distribution of these TLRs among specific DC subsets needs further delineation.

Human melanoma TIDCs

Melanoma-infiltrating DCs have been found in primary and metastatic lesions and encompass a broad spectrum of DC-like cells, including CD207+ LCs, pDCs and CD1a+ DCs (Table 1).,,,- Due to differences in patient material, the relatively low frequency of TIDCs, the use of ambiguous analytical markers, and approaches that limit the number of available analytical markers analytical markers, there is little consensus on the exact composition of the TIDC population. However, there is a general agreement on the fact that the frequency of TIDCs is higher in the peritumoral area than within neoplastic lesions and that TIDCs with the most mature phenotype (DC-LAMP+CD83+fascin+) tend to reside in the peritumoral area.,,, It is thought that immature DCs enter tumors via the vasculature and — following further differentiation and activation — migrate toward the tumor edge. There, DCs either locally form T-cell clusters or continue to migrate toward the draining lymph node, where they interact with T cells. The relationship between the presence and location of different TIDC subsets and clinical outcome remains a puzzle, as it not only depends on the type of TIDCs, but also on their activity as well as on functional interactions with other cells, all aspects that remain poorly understood.

Table 1. Human melanoma TIDC

Study	DC marker	DC specifics
Garcia-Plata69	S100, CD1a, HLA-DR	S100+CD1a+ (LC) increased in peritumoral infiltrate compared with overlying epidermis. HLA-DR levels variable.
Movassagh28	CD123, DC-LAMP, fascin, CD1a, CD207	CD1a+ and CD207+ cells in epidermis of regressing lesion infiltration; fascin+/DC-LAMP+ cells accumulation around microvessels within tumor area (tumor regression)
Salio102	CD123, BDCA2, CLA	Observed in majority of melanomas; numbers higher in infiltrating and metastatic samples. Numbers increase with severity of disease
Vermi68	CD1a, CD123, CD207, DC-Sign DC-LAMP, MR	Increase in dermal myeloid and pDC compared with healthy skin.Intratumoral immature: MR+/DC-SIGN+/CD1a- and CD1a+/CD207- cellsPeritumoral immature: CD1a+/CD207+LC; MR+/DC-SIGN+/CD1a-; CD1a+/CD207-; CD123+/BDCA-2+; Peritumoral mature: CD83+DC-LAMP+
Ladanyi27	CD1a, DC-LAMP	CD1a+ in melanoma cell nests and stroma, DC-LAMP+ in peritumoral area: inverse correlation CD1a+ and DC-LAMP+ cells with melanoma thickness
Simonetti67	CD83, CD207	Inverse correlation langerin+ cells with tumor depth; lower density of CD83(+) DC in thick melanomas
Charles103	BDCA-2	Observed in 37% of cases. Located close to the tumor within the peritumoral leukocyte infiltrate, representing 2–5% of these cells
Jensen31	CD123, DC-LAMP	CD123 infiltration: tumor stroma (~30%), tumor nest (~15%) of samplesDC-LAMP+ infiltration: tumor stroma (~30%), peritumoral (~50%) of samples
Erdag30	DC-LAMP, CD163neg	> 1% of CD45 cells: Metastasis to LN contain higher number of LAMP+ cells compared with metastasis to skin/soft tissue peritoneum, small intestine
Martinet104	DC-LAMP, fascin	DC-LAMP+ cells frequently associated with tumor HEV; Density of DC-LAMP+ cells correlates with density of tumor HEV

Mouse melanoma TIDCs

While mouse models have the advantage of providing abundant tumor material, which allows for an easy selection of tumors at different developmental stages, there is surprisingly little consensus in the field about mouse TIDC frequency, composition and function. Some of these discrepancies result from the use of different model systems or genetic backgrounds. When we compared two xenograft models, 3 syngenic transplantation models and 2 GEMMs, we observed significant differences in TIDC frequency (data not shown) and composition between models (Fig. 1A). The highest frequency of TIDCs was seen in syngenic transplant models, while GEMMs exhibited significantly less TIDCs. However, GEMMs showed a greater diversity of TIDCs, with marked infiltration by pDCs, LCs and dDCs. Xenografts showed the least diverse variety, completely lacking LCs and dDCs, while in syngenic transplant models an occasional dDC (CD207+EpCAM-) subset was found. Although a full comparison is hard to make as not all studies used the same set of markers, a review of the current literature on mouse melanoma revealed similar findings in different model systems (Table 2).-

Figure 1. Composition, location and maturation of tumor-infiltrating dendritic cells. (A) Composition of CD45+Lin-CD11c+MHCII+ tumor-infiltrating dendritic cells (TIDCs) in different melanoma models. Tumors (400–600mm2) were harvested from Nu/J nude mice (MV3, A375; n = 6 mice per group), BDA/2 mice (CloudmanS91; n = 5 mice per group) and C57BL/6 mice (B16F1 and B16/F10; n = 9 mice per group), digested according to standard protocols,, and analyzed by multicolor flow cytometry. β-actin::LSL-KRAS mice crossed onto a Tyr::Cre background were repeatedly treated with tamoxifen between 1 and 2 mo of age. Tumors were harvested 4–6 mo later (1–2 melanomas per mouse, n = 3 mice). MT::Ret transgenic mice were aged and spontaneous melanomas were harvested when their surface reached 200–300 mm2 (1–3 melanomas per mouse, n = 4 mice). (B) Representative localization of TIDCs in a snap-frozen B16/F10 tumor seven days after the subcutaneous injection of 2 × 106 tumor cells in C57Bl/6 mice, as observed by confocal microscopy. Red, CD11c; Green, CD11b; Blue, nuclei (4',6-diamidino-2-phenylindole, DAPI). (C) Relationship between the frequency of TIDCs among tumor-infiltrating lymphocytes (TILs) and the size of B16/F10 melanomas growing in C57Bl/6 mice, as determined by flow cytometry. (D) Differential expression of maturation markers on peritumoral and intratumoral TIDCs. B16/F10 tumors (≈600 mg, n = 4–5 tumors per group) were harvested and the peritumoral area was collected using ophthalmic blades, followed by the processing of peritumoral and intratumoral tissues according to standard protocols., CD40, CD80 and CD86 expression were determined among live CD45+Lin-CD11c+MHCII+ cells by multicolor flow cytometry.

Table 2. Mouse melanoma TIDC characteristics

Model	DC marker	Frequency	DC subpopulation	Characteristics
Scid-MV3 xenograft105	BSA-I binding	~35/5 high power fields	-	-
B16/F10. s.c.73	CD11c+, MHCII+	-	All CD11b+; further negative for EpCAM, PDCA-1, CD4, CD8α	Partially activated; reduced capacity for protein uptake and subsequent MHC II presentation; less sensitive to TLR stim.
B16/F10. s.c.75	CD11c+, MHCII+	-	All CD11b+; most F4/80+~23.5%, GR1+; few pDC	GR1+ less mature populations, fails to stimulate MLR, produce more IL-10; protein pulsed Gr1+ DC poorly activate OVA-specific CD4 and CD8 T cells in vivo
B16/F10 sec.c.77	CD11c+, MHCII+			Pre-DC (Lin-CD11c+MHCII-Flt3+) cells are recruited in the tumor, differentiate and activated CD8 T cells in vitro upon peptide pulsing
B16/F10 sec.c.92	CD11c+	-	-	TIDC express high levels of SOCS3 and have reduced M2-PK activity.
B16-OVA s.c.74	CD11c+, MHCII+	~30% of TIL	Mostly CD11b+,~5% pDC, hardly CD207+	Immature phenotype; fail to activate OVA-specific CD4 and CD8 T cells ex vivo
B16-OVA s.c.70	CD11c+	~20% of TIL	~33% CD11b+MHCIIhigh,rest CD11b- MHCIImedium	Partially mature; no in vitro activation of OVA-specific CD4 and poor activation of CD8 T cells
B16/F10 sec.c71,81	CD11c+, MHCII+	0.13 ± 0.07% of total cells	~3% pDC,~2.25% CD8αDC,> 95% non-pDC non CD8α	Decreased number compared with skin; Immature phenotype, particle uptake in vivo normal; protective upon transfer.
K17–3571	CD11c+, MHCII+	4.0 ± 0.22% of total cells	~15% pDC,~12% CD8αDC	Increased number compared with skin; immature phenotype; particle uptake in vivo normal
Tyr:N-RasQ61K+ DMBA/C3H6O71	CD11c+, MHCII+	0.02 ± 0.004 of total cells	~58% pDC,~40% non pDC non CD8αDC	Decreased number compared with skin; immature phenotype
MT/ret72	CD11c+, MHCII+	3–10% of TIL	-	Increasingly immature phenotype upon melanoma progression

The differences in the composition of TIDCs across models and species highlight the importance of model validation for each type of study. While all models have significantly contributed to the current understanding of melanoma immunology, pre-clinical DC targeting studies would benefit from models that more accurately resemble the TIDC composition seen in patients.

Mouse TIDC activation status

As in human melanoma, mature mouse TIDCs tend to reside in the peritumoral areas and total TIDCs seem to increase upon disease progression (Fig. 1B and C). Most studies assessing mouse TIDC activation and maturation status were based on the flowcytometric analysis of CD11c+ cells from the entire tumor. Consequently, most reports show a biphasic distribution of the maturation markers CD40/CD80 and CD86.,,, The differential analysis of the peritumoral and intratumoral zones of B16/F10 melanomas replicate histological observations, showing significantly more mature TIDCs in the peritumoral area as compared with the intratumoral one (Fig. 1D). It is thought that the tumor environment promotes the recruitment of DC precursors and immature DCs, but little is known on the ability of melanomas to support in situ DC differentiation. Diao, et al. showed that adoptively transferred immediate cDC precursors (Lin-CD11c+MHCII- cells) are recruited to B16/F10 tumors, where they proliferate and differentiate into cells with T-cell priming capacity in vitro, suggesting at least a partial acquisition of DC-like functions. On the other hand, in vivo data from Fainaru, et al. demonstrate that the recruitment of immature DCs promotes angiogenesis and tumor growth by enhancing endothelial cell migration and the subsequent formation of vascular networks. Moreover, the depletion of CD11c+ cells in CD11c-diphtheria toxin receptor (DTR) transgenic mice has been shown to significantly reduce the tumor mass of intraperitoneally injected B16/F10 melanoma cells. While other models suggest a role for an endothelial-like differentiation of DC precursors, VEGFA, β defensin, basic fibroblast growth factor (bFGF) and transformin growth factor β1 (TGFβ1) in this process, the mechanism underpinning DC-supported vasculogenesis in melanoma has not been clearly established.,

Mouse TIDC functionality

In order to operate as bona fide APCs, DCs need to acquire antigens through one of the phagocytic pathways, process and present them and communicate with T cells locally or upon migration to draining areas. Studies injecting beads into tumors revealed that a sizable fraction of TIDCs acquire one or more beads, indicating that that particulate uptake mechanisms is relatively intact., However, Gerner, et al. showed that TIDCs manifest a defect in the uptake of intratumorally injected proteins as compared with dDCs from healthy tissue. Separating peritumoral and intratumoral TIDCs, we found that the in vitro uptake of proteins and apoptotic cell material was higher for peritumoral, as compared with intratumoral, TIDCs (Fig. 2A). Similar observations were made when peritumoral and intratumoral TIDCs were analyzed 4 h after the intratumoral injection of proteins in vivo. Interestingly, the co-administration of lipopolysaccharide (LPS) appears to decrease the phagocytic uptake by peritumoral TIDCs, but not by their intratumoral counterparts (Fig. 2B).

Figure 2. Functionality of tumor-infiltrating dendritic cells. (A) In vitro phagocytic capacity of tumor-infiltrating dendritic cells (TIDCs). Peritumoral and intratumoral TIDCs were isolated from B16/F10 tumors growing in C57Bl/6 mice (as described in the legend of Figure 1) and cultured for 4 h with CFSE-labeled apoptotic splenocytes (1:3 ratio) or 100 µg/mL fluorochrome-conjugated ovalbumin (OVA) in the presence (black bar) or absence (gray bar) of 0.1 µg/mL lipopolysaccharide (LPS, from Salmonella minnesota R595) (n = 4–5 tumors per group). (B) In vivo phagocytic capacity of TIDCs. B16/F10 tumors (≈600 mm2) were injected with 1 × 106 CFSE-labeled apoptotic cells or 200 µg fluorochrome-conjugated OVA in the presence or absence of 10 µg LPS. Four hours later, peritumoral and intratumoral TIDCs were isolated and analyzed by flow cytometry (n = 4–5 tumors per group). (C) Effect of brefeldin A (BrefA) employed during TIDC isolation from B16-OVA melanomas on endogenous tumor-antigen presentation. BrefA was added during digestion, incubations and sorting at a concentration of 40 µg/mL. Peritumoral and intratumoral TIDCs from OVA-expressing B16/F10 tumors were cultured with OVA257–264-specific B3Z hybridoma cells and hybridoma activation was determined 20 h later by chlorophenol red-β-D-galactopyranoside (CPRG) conversion (n = 5–6 tumors per group). TIDC derived from B16/F10 parental tumors were used as negative control. (D,E) Peritumoral and intratumoral TIDCs (isolated in the presence or absence of BrefA) were co-cultured with CFSE-labeled OVA257–264-specific OT-1 T cells. After 24 h, activation was determined by CD69 expression in 7-AAD-CD8+Vα2+Vβ5+ cells. OT-1 T-cell proliferation was assessed by CFSE dilution after 72 h of culture with the indicated TIDCs (n = 5–6 tumors per group).

Most studies reveal a decreased CD4+ and CD8+ T-cell activating capacity of TIDCs isolated from antigen-expressing tumors or upon antigen pulsing in vivo.,, However, other studies indicate potent T-cell priming capacity of TIDCs, both in vitro or in vivo.,, This discrepancy can be partly explained by the fact that these studies differed relative to TIDC composition, TIDC localization, TIDC maturation state, TIDC isolation methods and in vitro functional assessment protocols. By separating TIDCs based on GR1 expression, Diao, et al. showed that GR1+ expressing TIDCs produce more interleukin (IL-10) and exhibit lower CD8+ and CD4+ T-cell priming capacity than GR1- TIDCs when loaded with antigens in vitro. In addition, CD8+ T cells primed by GR1+ TIDCs demonstrated significantly reduced cytokine production compared with CD8+ T cells primed by GR1- TIDCs. Gerner, et al. suggested that the decreased TIDC capacity for CD4+ T-cell activation results predominantly from reduced antigen uptake as they found antigen processing and presentation to be unaltered. To further dissect the antigen presenting and T-cell priming/activating potential of TIDCs, we isolated peritumoral and intratumoral TIDCs from ovalbumin (OVA)-expressing B16 tumor-bearing mice and cultured them with an OVA257–264-specific reporter cell line (B3Z) and CFSE-labeled OVA257–264-specific OT-1 T cells. We included brefeldin A in the isolation procedure to prevent the turnover of MHC-I-peptide complexes while preserving the TIDC maturation state. Importantly, significant antigen presentation was observed only when brefeldin A was present during the isolation period, illustrating the importance of optimizing and standardizing TIDC isolation protocols. The total TIDC fraction poorly activated B3Z cells (Fig. 2C), suggesting a low frequency of OVA257–264-MHC complexes. Consequently, total TIDC-mediated OT-1 T-cell activation and proliferation, as determined by CD69 upregulation and CFSE dilution assays, was relatively poor (Fig. 2D and E). However, peritumoral TIDCs displayed a comparatively higher frequency of OVA257–264-MHC complexes and activated (while inducing the proliferation) of a sizable fraction of OT-1 T cells (Fig. 2C-E). Intratumoral TIDCs exhibited less OVA257–264-MHC complexes and activated OT-1 T cells without inducing proliferation. This lack of proliferation could be restored by the addition of IL-2 but not upon the blockade of IL-10 or TGFβ, suggesting the induction of T-cell non-responsiveness. Importantly, the treatment of peritumoral TIDCs with TLR4 or TLR9 ligands significantly increased their potential to induce T-cell proliferation, while the same treatment did not improve the functionality of intratumoral TIDCs (data not shown). Altogether, these observations show that differences in isolation protocols, TIDC subsets, and functional assays significantly complicate the comparison between studies and the extrapolative value of their findings.

While many studies indicate a decrease in the maturation and functionality of melanoma TIDCs, the mechanisms that underpin such changes in APC functions are still unclear. Increased expression of immunosuppressive cytokines and membrane-associated molecules by TIDCs has been implicated in TIDC dysfunction., Other models suggest that tumor-derived cytokines or a reduction in the sensitivity of TIDCs to innate signals prevents maturation, migration and thereby impair TIDC function.- However, prolonged TIDC retention and the maintenance of an immature phenotype has recently been linked to lipid accumulation following increased scavenger receptor A expression and LXRα mediated CCR7 downregulation. Norian, et al. have linked TIDC dysfunction to increased l-arginine metabolism in a spontaneous model of mammary carcinoma. More importantly, Zhang, et al. have correlated the reduced functionality of B16 melanoma TIDCs to a decreased metabolic proficiency, resulting from increased SOCS3-pyruvate kinase M2 interactions. These observations clearly exemplify that the focus on basic immunological assays and parameters has become too restricted to determine the mechanisms of TIDC dysfunction. For a full appreciation of the developmental and functional defects in TIDC, research disciplines beyond classical immunology will have to be incorporated into the experimental approaches.

Scientific and Therapeutic Considerations

Mouse models have been extensively used to test topical therapeutic therapies. Comparable to human melanoma, the injection of GM-CSF, IFNα, imiquimod, or BCG has been shown to result in various degrees of therapeutic success in mice.,- In many of these approaches, either increased numbers of DCs or enhanced DC maturation was observed in the tumor or tumor-draining lymph node.- In addition, other purified TLR ligands including poly(I:C), CpG oligonucleotides, LPS, alone or coupled to additional immunomodulatory therapies have been used successfully.- The intratumoral administration of crude bacterial products, cytokines and stimulatory molecules delivered by viral vectors, microspheres or nanoparticles is well established in mouse models but has not been translated to the human system.,, While all these therapeutic approaches were suggested to target TIDCs or support TIDC functions, it is likely that they only partly activate TIDCs, as (1) some specifically targeted DC populations are absent or poorly represented in the tumor, and (2) some specifically targeted receptors are poorly expressed by TIDCs or rendered non-functional by the tumor microenvironment. In these cases, it is more likely that other cells in the tumor environment are stimulated to promote a DC activating/restoring microenvironment.

In order to improve the clinical relevance and translational potential of mouse melanoma models for the design, optimization, and identification of novel therapeutic interventions that target TIDCs we will have to overcome several hurdles. An improved identification and characterization of human TIDCs will be critical to identify and validate the best mouse models for each type of study. Eventually, the panel of DC specific markers used in human and mouse studies will have to be standardized, even as investigators continue to discover new markers and DC populations. Furthermore, the optimization and standardization of protocols for TIDC isolation and functional assessments will be essential for allowing study-to-study comparisons and the extrapolation of data across species as well as laboratories.

This said, a great gain might be made by an increased collaboration between different research disciplines. This could result, for instance, in the generation of better mouse models, such as humanized mice for xenograft transplantation studies and GEMMs with TIDC patterns that resemble human TIDC profiles at different stages of disease, as well as new analytical platforms for extended TIDC analyses.

Although it is unlikely that mouse melanoma models will ever completely recapitulate the complexity of human melanoma in clinical situations, so far we have only scratched the surface of the true potential of mouse models for the analysis of TIDC dysfunction and the development of therapeutic interventions. Combining and integrating current models, standardizing analytical methods and expanding the disciplines of research will be instrumental for significantly improving the clinical relevance of mouse models and the identification of novel therapeutic targets.