Abstract
Colorectal cancer (CRC) is the third most diagnosed malignancy and the second leading cause of cancer-related deaths worldwide. Locally advanced and metastatic disease exhibit resistance to therapy and are prone to recurrence. Despite significant advances in standard of care and targeted (immuno)therapies, the treatment effects in metastatic CRC patients have been modest. Untreatable cancer metastasis accounts for poor prognosis and most CRC deaths. The generation of a strong immunosuppressive tumor microenvironment (TME) by CRC constitutes a major hurdle for tumor clearance by the immune system. Dendritic cells (DCs), often impaired in the TME, play a critical role in the initiation and amplification of anti-tumor immune responses. Evidence suggests that tumor-mediated DC dysfunction is decisive for tumor growth and metastasis initiation, as well as for the success of immunotherapies. Unravelling and understanding the complex crosstalk between CRC and DCs holds promise for identifying key mechanisms involved in tumor progression and spread that can be exploited for therapy. The main goal of this review is to provide an overview of the current knowledge on the impact of CRC-driven immunosuppression on DCs phenotype and functionality, and its significance for disease progression, patient prognosis, and treatment response. Moreover, present knowledge gaps will be highlighted as promising opportunities to further understand and therapeutically target DC dysfunction in CRC. Given the complexity and heterogeneity of CRC, future research will benefit from the use of patient-derived material and the development of in vitro organoid-based co-culture systems to model and study DCs within the CRC TME.
Keywords: metastatic colorectal cancer, cancer immunity, dendritic cell defects, immunotherapy, tumor microenvironment, immunosuppression, patient-derived organoids
Introduction
Colorectal cancer (CRC) is one of the most common and deadliest cancers worldwide (1, 2). At early stages of localized disease, surgical resection leads to a good prognosis or even cure (3). Unfortunately, more than half of the CRC patients develop metastasis, either at the time of diagnosis or later as relapse (4). The most common metastatic site is the liver, but metastasis can also be found in the lungs, peritoneum, bones, and brain. Distant metastases are increasingly resected with curative intent (5, 6). For unresectable or recurrent metastatic disease, standard chemotherapies, as well as targeted treatments, have improved median overall survival to over 30 months (7–9). Despite these significant advances, metastatic CRC (mCRC) patients remain largely unresponsive to (immuno)therapy resulting in a 5-year survival rate of only 12% (1). At the moment, different therapeutic approaches are being actively investigated to fulfil the unmet need for therapies in mCRC (10, 11).
As with most cancers, CRC develops and spreads by evading immunosurveillance. To subvert the immune system, tumors evolved a number of escape mechanisms including loss of tumor antigens, upregulation of inhibitory molecules, and the generation of an immunosuppressive environment which recruits and corrupts stromal and immune cells (12). The CRC tumor microenvironment (TME) prevents immunosurveillance, supporting tumor growth and progression (13, 14). Besides hampering anti-tumor immunity, the generation of an immunosuppressive environment also hinders the success of immunotherapies (10, 14).
Dendritic cells (DCs), also known as professional antigen presenting cells, are a key immune cell type often impaired by the immunosuppressive TME. DCs are the central players in triggering, coordinating and amplifying anti-tumor immune responses, and in driving the clinical success of immunotherapies (15–17). However, in the presence of immunosuppressive signals, such as the ones released by tumor cells, DCs become dysfunctional and induce tolerance. Several studies suggest that tumor-mediated impairment of DC functions is decisive for immune evasion, tumor growth, metastasis initiation, and treatment resistance in different cancers including CRC (17–23). Despite the key role of functional DCs in anti-tumor immunity and treatment response, it is still largely unclear how CRC shapes DC fate.
The main aim of this review is to provide an overview of the current knowledge on how primary and metastatic CRC-driven immunosuppression affects DC phenotype and functionality. We will assess how this correlates with disease progression, mCRC patients’ prognosis and treatment response. Moreover, the potential of therapies to revert DC defects in CRC will be discussed. From there, knowledge gaps will be pinpointed as unexplored avenues to study and target DC dysfunction in CRC.
Colorectal Cancer
CRC comprises a highly complex, heterogenous, and lethal group of diseases. Several factors contribute to CRC development and have implications in treatment response. As mentioned, the survival and treatment options of CRC patients largely depend on the stage, i.e., the extent of tumor invasion and spread at the time of diagnosis. Outgrowth of metastasis is facilitated by synchronous undetectable disseminated metastatic cells, tumor shedding into circulation, and therapy-induced immune impairment. As such, early detection of CRC through screening becomes a crucial factor to reduce mortality of the disease. However, disease stage is not always predictive for patient response and outcome. CRC patients at the same stage might have different disease progression based on the molecular heterogeneity of the tumor and the composition of the TME (24–27).
Tumorigenesis
CRC develops from a multistep accumulation of genetic and epigenetic alterations (28). The majority of CRC cases arise from sporadic mutations due to an interplay of environmental and lifestyle factors, the remaining due to genetic predisposition (29, 30). CRC develops from abnormal proliferation of mucosal epithelial cells of the large intestine, named polyps or adenomas, which can evolve to adenocarcinomas. CRC can develop from adenoma to carcinoma through one or a combination of different molecular mechanisms, namely chromosomal instability, CpG island methylation, and DNA mismatch-repair deficiency (24). Different sequential driver mutations associated with tumorigenesis occur in the APC/β-catenin, KRAS, MAPK and BMP/TGF-β pathways, as well as in tumor suppressor genes, such as TP53, at later stages (31, 32). As mutations accumulate, adenocarcinomas become invasive and spread to distant sites in the body establishing metastasis.
Depending on the underlying driving mechanism of genomic instability, CRC tumors can be broadly classified into (1) microsatellite instability-high (MSI-H), which account for ~15% of tumors and (2) microsatellite stable (MSS) accounting for the remaining ~85% of the cases (33). MSI tumors are characterized by high frequency of replication errors due to defective DNA mismatch repair mechanisms, which lead to a hypermutated state. Typically, MSI tumors are highly immunogenic, present high percentage of immune infiltrates, and are associated with a more favorable prognosis (34). In contrast, MSS tumors, which account for the large majority of CRC cases, are poorly immunogenic with low mutational burden, and are linked to poor prognosis (31, 32).
In mCRC, treatment with immune checkpoint inhibitors presents promising responses only in a minority of patients, with MSI tumors, while MSS tumors do not respond to PD-1 or PD-L1 inhibitors (35, 36). Unresponsiveness of MSS tumors to immune checkpoint inhibition and other immunotherapies has been associated with the low number of tumor-specific neoantigens, lack of infiltrating immune cells, and tumor-mediated immunosuppression (37). This implies that, to date, the vast majority of mCRC patients does not qualify for immunotherapy.
Besides MSS/MSI stratification, a more comprehensive classification system for CRC has been developed. The Consensus Molecular Subtype system, which divides CRC patients in 4 subtypes based on transcriptome analysis of the tumor and associated stromal and immune cells (38, 39). This stratification system suggests that characterizing gene expression of not only tumor cells but also of surrounding tumor-associated cells (such as fibroblasts, leukocytes and endothelial cells) allows better stratification of patients and confers higher predictive value for prognosis, management, and selection of appropriate treatment (40). This emphasizes the importance of studying both the tumor and its surroundings.
The Tumor (Immune) Microenvironment
CRC initiation, progression, metastatic dissemination, and treatment resistance is not only driven by the accumulation of genomic and epigenomic aberrations but also by intricate and dynamic interactions between malignant and neighboring cells in the TME (41–44). Surrounding cells comprise endothelial cells, gut microbiota, cancer-associated fibroblasts (CAFs), and immune cells including tumor-associated macrophages (TAMs), myeloid-derived suppressor cells (MDSCs), natural killer (NK) cells, DCs, and T cells (45). Tumor cells are well-known for having a strong modulatory effect, for being able to recruit, corrupt or re-educate surrounding cells towards tumor-promoting phenotypes that foster tumor growth and spread.
Importantly, CRC generates a strong immunosuppressive TME that hampers immunosurveillance and allows immune evasion. To escape eradication by the immune system CRC recruits and polarizes immunosuppressive regulatory T cells (Tregs), TAMs, and MDSCs. In addition, CRC inhibits or excludes immune cells with anti-tumor potential such as DCs, NK cells, and effector T cells from the TME. By regulating local and systemic immune function, CRC creates immune impairments and an environment propitious for tumor growth and dissemination (46). Several studies have reported that CRC-induced local and systemic immune dysfunctions are closely associated with patient prognosis and sensitivity to therapy (47–51).
The intricate web of interactions within the TME is mediated by cell-to-cell contact and soluble factors, such as cytokines, chemokines, and growth factors, derived from the tumor and activated surrounding cells. These factors are constantly remodeling the TME and have not only local but also systemic effects, which are crucial for generalized immunosuppression enabling the generation of pre-metastatic niches and successful metastatic establishment (52).
One key immunosuppressive signaling molecule associated with CRC is transforming growth factor-β (TGF-β). High TGF-β expression in the TME of CRC has been linked to poor prognosis with a crucial role in successful tumor progression and metastasis development (40, 53–59). TGF-β modifies the TME by regulating infiltration and by suppressing or tweaking the phenotype of immune cells towards tolerance, impeding anti-tumor immunity (53, 60, 61). Consistent with these findings, neutralization of TGF-β signaling in the TME was found to impair liver metastasis establishment by unleashing T cell and NK cells anti-tumor responses, in different pre-clinical CRC models (14, 40, 54, 55, 58, 62). Promisingly, in a metastatic mouse model for CRC, treatment of established metastasis with anti-PD-L1 antibodies in combination with TGF-β blockade resulted in potent curative anti-tumor T cell-mediated immune responses (14). Besides TGF-β, other factors such as IL-6, IL-33, IL-8, IL-23, PGE2 and IDO-1 have shown similar immunomodulatory properties and impact in metastasis development and patient prognosis in CRC (63–74). These studies highlight the role and the potential of further exploring the interactions between malignant cells and immune cells, and combining current therapies with agents designed to target the TME (10, 13).
It is clear that regulation of immune cells by the immunosuppressive TME generated by CRC has a pivotal role in disease progression, not only by hampering immuno-surveillance but also by compromising the effectiveness of immunotherapies. Since, no effective treatment is available for the majority of mCRC patients, it becomes imperative to further understand how CRC interferes with immune activation for identification of new mechanisms for complementary therapies. DCs, as the main orchestrators of innate and adaptive anti-cancer immunity, appear as promising targets to unleash immune responses and immunotherapy efficacy.
Dendritic Cells: The Hub of Anti-Tumor Immunity
DCs comprise a heterogenous population of cells specialized in antigen capture, processing, and presentation. DCs act as hub of the immune system by initiating, linking and coordinating innate and adaptive immune responses (15, 16). DCs are key regulators of specific immune response owing to their unique capacity to (cross-)present antigens and prime T cells (15, 20). In anti-tumor immunity, DCs can promote T cell and NK cytotoxic activities, and also exert direct tumoricidal activity, sustaining cancer immunosurveillance. Consequently, DCs have been shown to have a crucial role in inhibiting local tumor growth, tumor dissemination, and metastatic establishment (17).
Tissue-resident DCs in steady-state conditions scan the environment for antigens and danger signals, acting as sentinels. In homeostatic conditions or under suppressive environmental cues, DCs present an immature and tolerogenic phenotype, characterized by low expression of co-stimulatory molecules and pro-inflammatory cytokines, inability to prime T cells, and secretion of immunosuppressive cytokines (e.g., IL-10 and TGFβ). This functional state ensures immune (self-)tolerance, through various mechanisms including T cell depletion and anergy, as well as generation of Tregs (15, 75–77).
If uptake and processing of (tumor) antigens occurs in the presence of danger signals and inflammatory cytokines, DCs undergo maturation (78). The maturation process encompasses several morphological, functional, and phenotypical changes, which include enhanced migration abilities through CCR7 expression, upregulation of co-stimulatory molecules CD80, CD83, and CD86, and secretion of pro-inflammatory cytokines such as IL-12, IL-6, TNF-α and IL1-β. All these signals, together with antigen presentation on major histocompatibility complexes (MHC), are required for proper priming, activation, and proliferation of T cells, and induction of an antigen-specific response (15, 75, 76). Upon maturation, DCs migrate to a lymph node, where they prime and activate antigen/tumor-specific T cells. Subsequently, T helper (Th) or cytotoxic T cells (CTL), migrate into the tumor site where they can perform their effector functions (15, 79).
Additionally, tumor-infiltrating DCs (TIDCs) have been reported to regulate the magnitude and duration of T cell responses within the TME, either through direct antigen presentation or establishment of a favorable cytokine environment, in different tumor models including breast cancer and melanoma (15, 20, 79–84). Antigen presentation within tumors might occur in ectopic tertiary lymphoid structures (TLS), which are hypothesized to play an important role in response to neoantigens that form during later stages of tumor progression (15). It seems that in the cancer setting, tumor-draining lymph node DCs might initially prime naïve T cells, while later intra-tumoral DCs further license and activate T cells in the tumor bed (85). Overall, these studies indicate that TIDCs are required for recruitment, re-priming, and re-stimulation of T cells to acquire full effector function in the TME (20).
DCs have an additional role in innate anti-tumor immunity, through modulation and enhancement of NK cell activity. On the one hand, mature DCs potentiate NK cytotoxicity against tumor cells by secreting pro-inflammatory cytokines (e.g., IL-12, IL15) and cell-to-cell contact. On the other hand, NK cells promote DC infiltration into tumors, as well as their maturation, cytokine-producing ability, migratory potential, and facilitate cross-presentation through the secretion of chemokines and growth factors such as CCL5, XCL1, and FLT3L. This interaction in turn results in enhanced and stronger anti-tumor T cell activation. The dynamic crosstalk between DC and NK takes place in both tumor-draining lymph nodes and in the TME (74, 86, 87). In fact, an optimal anti-tumor immune response appears to rely on effector T cells and NK cells, which are jointly induced and coordinated by DCs (86). DCs are thus essential mediators for the induction of powerful immune responses against cancer cells (88).
Notably, DCs encompass a highly complex and heterogenous population. Regarding their origin and differentiation pathway, four major lineages can be defined: myeloid or conventional DCs (cDC1 and cDC2), plasmacytoid DCs (pDC), inflammatory or monocyte-derived DCs (MoDC), and Langerhans cells (LC). Even though all DCs harbor antigen-presenting and T cell activating abilities, the different subsets present distinct phenotypes and specialized functions. This expands the range and flexibility of immune responses (21, 73, 89). For instance, cDC1 are specialized in cross-presentation and CD8+ T cell responses, cDC2 in CD4+ T cell priming, pDCs in type I interferon-mediated responses, and MoDCs perform different functions in inflammatory settings (15, 21, 89–93).
As such, the immunogenic or tolerogenic functions of DCs, T cell priming or tolerance, depend on their functional subset and their maturation status, which is dictated by environmental cues (75, 77, 79, 88, 94). The phenotypic and functional plasticity of DCs renders them susceptible targets for the evolution of tumor-mediated suppressive mechanisms (95).
Tumor-Induced DC Dysfunction
DCs can play either a regulatory, tolerogenic function or coordinate potent immune responses, depending on the local tumor milieu. Tumors take advantage of this functional plasticity by interfering with DC functions and shifting the balance towards immune evasion (22). As such, tumors employ a variety of mechanisms to disrupt DC functions, mainly mediated through the immunosuppressive TME, that compromise the development of anti-tumor immune responses and facilitate local and metastatic progression (79).
Quantitative and functional impairments of circulating and intra-tumoral DCs have been widely observed in several types of malignancies including melanoma, breast, pancreatic, ovarian, colorectal, prostate, and lung cancer (16). Several studies, have elucidated on escape mechanisms employed by tumors to disrupt DC functions at different levels ( Figure 1 ):
1) Impairing proper differentiation of DCs from hematopoietic and myeloid precursors leading to decreased local and circulating DC numbers. Instead, tumors favor differentiation of precursors into immunosuppressive populations, such as MDSCs, TAMs, and BDCA1+CD14+ cells, which further contribute to an immunosuppressive environment (23, 73, 96–104). 2) Inducing apoptosis or favoring exclusion of mature DCs from the TME, for instance, by blocking NK-mediated recruitment of DCs (74, 105). Furthermore, inhibiting proper DC maturation and activation, preventing expression of co-stimulatory molecules, and secretion of pro-inflammatory cytokines, blocking DCs at an immature state. Several tumor-derived factors have been shown to mediate DC defects including TGF-β, TNF-α, IDO-1, PGE2, IL-6, IL-10, VEGF, and GM-CSF (70, 106–116). These factors hinder DC migration, antigen presentation, and effective T cell and NK activation (105–108, 113, 116–128). 3) Directly and indirectly inhibiting anti-tumor T cell functions. The TME skews DCs from immunostimulatory into tolerogenic and immunosuppressive phenotypes and functions, affecting T cell survival and proliferation, or by inducing anergy (an hyporesponsive state) and the expansion of Treg cells. These processes are characterized by the increased expression of immunosuppressive factors such as TGF-β, IL-10, PGE2, IDO-1, and PD-L1 by DCs (104, 114, 115, 129–142).
Overall, the presence of an immunosuppressive TME induces DC-mediated tolerance rather than immunity, contributing to immune escape and dampening of anti-tumor T cell responses. In different studies, these effects on DCs have translated into accelerated tumor progression, increased tumor-draining lymph node metastasis, immunotherapy failure, systemic dysfunctional immune status, and poor prognosis (102, 116, 120, 143–146). In summary, evidence suggests that tumor-induced DC defects are decisive for tumor growth, metastasis initiation, and prognosis. This emphasizes the impact of a phenotype shift in DCs in driving either immunosurveillance or accelerated malignant growth.
Numerical and Functional Defects of DCs in CRC Patients
Given the existence of different DC subsets and functional states, their plasticity in regard to signals from the TME and the consequent impact on anti-tumor immunity, it is not surprising that DC phenotypical changes and defects have shown clinical relevance across different tumor types (22, 147, 148). DCs have been widely investigated in CRC patients with variations in number, phenotype, and function of both circulating and TIDCs reported ( Table 1 ).
Table 1.
CRC (n) | Experimental setup | DC characterization | Key conclusions | Reference |
---|---|---|---|---|
TIDCs – interactions with other immune cells and correlations with disease progression and prognosis | ||||
121 | Tissue IHC |
S100 | ↑ S100+ DCs ↔ good prognosis, higher survival, often without metastasis and ↑ lymphocyte infiltration | (Ambe, Mori, & Enjoji, 1989) (149) |
30 | Tissue IHC |
S100 | ↑ S100+ DCs ↔ good prognosis ↓ S100 +DCs ↔ lymph node and hepatic metastasis, >stage III |
(Nakayama et al., 2003) (150) |
104 | Tissue IHC |
S100 and HLA-II | ↑ S100+ DCs ↔ ↑ T cell infiltration and disease-free survival | (Dadabayev et al., 2004) (151) |
40 | Tissue IHC |
S100, CD11c, CD208, CD209, CD123, and CD1a | S100+ DCs ↔ Tregs ↑ S100+ DCs ↔ prolonged survival ↓ S100+ DCs ↔ worse prognosis |
(Nagorsen et al., 2007) (152) |
16 | Tissue IHC |
CD205 | ↓ CD205+ DCs and high HMGB1 expression by CRC ↔ lymph node metastasis | (Kusume et al., 2009) (153) |
52 | Tissue IHC |
CD11c+ | ↓ CD11c+ myeloid DCs ↑ Tregs ↔ tumor invasion, advanced stage, lymph node metastasis and poor prognosis | (Gai, Li, Song, Lei, & Yang, 2013) (154) |
63 | Tissue IHC |
CD123 (pDCs) |
↑ pDC/myeloid DC ratio and ↑ Tregs ↔ lymph node metastasis | (Gai, Song, Li, Lei, & Yang, 2013) (155) |
149 | Tissue IHC |
BDCA-2+ (pDCs) | ↑ pDC ↔ TLS and prolonged survival | (Kießler et al., 2021) (156) |
58 | Flow cytometry and RNA sequencing | BDCA-2+ (pDCs) | ↑ pDC ↓innate lymphoid cells ↔ advanced disease stage | (Wu et al., 2021) (157) |
TIDCs – maturation status and distribution | ||||
57 | Tissue IHC |
CD83, HLA-DR, CD40, and CD86 | Density of mDCs: Normal mucosa > primary CRC > metastatic CRC No association with TGF-β or IL-10 |
(Schwaab, Weiss, Schned, & Barth, 2001) (158) |
17 | Tissue IHC |
CD83 and CD1a |
CD83+ mDCs: present in the invasive margin and cluster with T cells CD1a+ iDCs: scattered in the tumor stroma |
(Suzuki et al., 2002) (159) |
60 | Tissue IHC |
CD1a, S100, CD83, and HLA-DR |
CD83+ mDCs: present around metastases and in the sinusoidal lumen CD1a+ iDCs: scattered in the tumor stroma |
(M. Gulubova, Manolova, Cirovski, & Sivrev, 2008) (160) |
26 | Tissue IHC and gene expression |
CD83 | Primary site and lymph nodes: ↓ CD83+ mDCs ↔ high COX2 and IL-6 | (Cui et al., 2007) (161) |
23 | Tissue IHC and gene expression |
CD1a, CD83, and CD208 | ↓ CD83+ CD208+ mDCs ↑ CD1a+ iDCs ↔ increasing COX2 expression | (Yuan et al., 2008) (162) |
69 | Tissue IHC |
S100, CD208 | In MSI tumors in comparison with MSS: ↑ CD208+ mDCs and ↓ Tregs | (Bauer et al., 2011) (163) |
133 | Tissue Gene expression |
Genes implicated in immune response | In MSI tumors in comparison with MSS: ↑ co-stimulatory molecules in DCs | (Banerjea et al., 2004) (164) |
TIDCs – maturation status and correlations with disease progression and prognosis | ||||
70 | Tissue IHC |
CD83 | ↓ CD83+ mDCs ↔ poor prognosis | (Miyagawa et al., 2004) (165) |
22 | Tissue IHC |
CD83 | ↓ CD83+ mDCs ↔ advanced disease and lymph node metastasis ↑ CD83+ mDCs and IL-12 expression ↔ better prognosis |
(Inoeu et al., 2005) (166) |
142 | Tissue IHC |
HLA-DR, CD1a, and CD83 | ↓ CD83+ mDCs ↔ shorter survival ↔ TGF-β expression by CRC | (Maya Gulubova et al., 2010) (56) |
86 | Tissue IHC |
HLA-DR, CD1a, and CD83 | Metastasis in comparison to metastasis-free samples: ↓ CD83+ mDCs and ↑TGF-β | (Maya Gulubova et al., 2013) (167) |
44 | Tissue IHC |
CD1a and DC-LAMP | ↓TILs ↑ CD1a+ iDCs/DC-LAMP+ mDCs ratio and KRAS mutation ↔ higher risk of disease recurrence | (Kocián et al., 2011) (168) |
145 | Tissue IHC |
CD1a, S100, CD83, and HLA-DR | ↓ CD83+ HLA-DR+ mDCs in invasive margin ↔ advanced stage (metastasis) and worse prognosis | (Maya V. Gulubova et al., 2012) (169) |
556 | Gene expression | Several DC-related genes | ↑ mDCs ↑ T cells ↔ low risk group | (M. Li et al., 2020) (170) |
473 | Gene expression | CD80, CD83, and CD86 | ↑ CD80+, CD83+, CD86+ mDCs ↔ CXCL8 expression by CRC | (E. Li et al., 2021) (171) |
326 | Gene expression | Several DC-related genes | ↑ DCs, IL-12 and in TLS ↔ strong Th1 and CTL response and more favorable prognostic | (Coppola et al., 2011) (19) |
104 | Tissue IHC |
S100, CD1a, CD208, and HLA- II | ↑CD208+ mDCs in the stroma ↔ shorter overall survival ↑CD1a+ iDCs in the advancing margin ↔ shorter disease-free survival |
(Sandel et al., 2005) (172) |
71 | Tissue IHC |
CD83 | ↑ mDCs ↔ tumor invasion and lymph node metastasis | (Pryczynicz et al., 2016) (173) |
221 | Tissue IHC |
CD11c and PD-L1 | ↑ CD11c+ PD-L1+ DCs ↔ good survival and ↑ CD8+ T cell density | (Miller et al., 2021) (174) |
Blood circulating DCs - Numerical defects | ||||
106 | Flow cytometry | HLA-DR and CD86 | ↓ Circulating DC ↔ ↑ TGF-β levels | (Huang et al., 2003) (175) |
54 | Flow cytometry | HLA-DR, CD11c, CD83, and CD86 | Numerical and functional impairment of DC progenitors ↔ stage of the disease and ↑ VEGF levels | (Della Porta et al., 2005) (176) |
27 | Flow cytometry | BDCA-1, BDCA-2, BDCA-3, CD80, CD86, and HLA-DR | DCs number: healthy > metastatic > non-metastatic > chemotherapy treated subjects | (Bellik et al., 2006) (177) |
26 | Flow cytometry | CD33 and CD123 | ↓ CD123+ pDCs ↔ advanced stage | (Orsini et al., 2014) (178) |
Blood circulating DCs - Functional defects | ||||
31 | Flow cytometry, functional assays | CD11c, CD123 HLA-DR, CD80, CD86, and CD83 |
↑ immature myeloid cell progenitors Defective DC maturation ex vivo ↔ ↑ VEGF Anti-VEGF antibody treatment: ↑ ex vivo stimulatory capacity of DC ↔ ↑ antigen-specific allogenic T cell proliferation |
(Osada et al., 2008) (179) |
23 | Flow cytometry, functional assays | CD40, CD80, and CD83 | Defective generation of mature and functional DC ex vivo ↔ advanced disease stage ↓ Ability to present antigens to allogeneic T cells ↑IL-10 ↓IL-12 and TNF-α |
(Orsini et al., 2013) (180) |
16 | Flow cytometry, functional assays | CD83 CD1a HLA-DR CD86 FITC, CD80, CD209, and CD206 | Defective DC maturation ex vivo | (Maciejewski et al., 2013) (181) |
30 | Flow cytometry, functional assays | CD80, CD11c, HLA-ABC, HLA-DR, CD14, CD133, CD11b, CD209, and CD86 | Defective DC maturation ex vivo
↓IL-12 |
(Hsu et al., 2018) (182) |
↔: correlation/association, ↑ higher infiltration/higher density/increase, ↓ lower infiltration/lower density/decrease. IHC, immunohistochemistry; mDCs, mature DCs; iDCs, immature DCs.
Several studies have investigated the prognostic value and distribution pattern of TIDCs in CRC patients’ tissues. DCs have been linked to both positive and negative effects on CRC prognosis, depending on their maturation status, location, and interaction with other immune tumor-infiltrating cells. Several studies have correlated a higher number of TIDCs with increased patient survival, lymphocyte infiltration, lower metastasis, and overall better prognosis (66, 149–154). In some of these studies, the S100 marker alone was used to identify DCs. These findings may be somewhat limited since S100 expression is restricted to only a few DC subsets, and is not a DC-specific marker being also expressed by other cell types including macrophages (183). Moreover, in these studies the maturation state of DCs was not assessed, which precludes information on DC pro- or anti-tumorigenic polarization and functions.
Further studies have investigated TIDCs distribution in CRC in correlation with their maturation status. Two studies report that the density of tumor-infiltrating mature DCs (mDCs) is lower in metastatic sites than in primary sites, which in turn is lower than in normal mucosa (158, 167). In addition, different studies have shown that mDCs are usually present in the invasive margin and cluster with T cells in lymphoid structures (TLS), whereas immature DCs (iDCs) are often more scattered through the tumor stoma (159, 160). These results suggest differential immune landscapes in primary and metastatic tumor sites and overall mDC exclusion from tumor sites.
Additionally, the maturation status of TIDCs has been correlated with disease progression and patient prognosis. Lower levels of mDC infiltrates have been linked to more advanced disease stage, higher metastatic burden, Treg infiltration, and poor prognosis. Conversely, higher levels of mDCs relative to iDCs, have been associated with stronger Th and CTL responses and better prognosis in general (19, 56, 165, 166, 168–171). These results are in agreement with the anti-tumorigenic potential of mDCs and the tolerogenic role of iDCs. In line with this, MSI tumors with better survival are characterized by an increase in mDCs and lower numbers of Tregs in comparison with MSS (163, 164). Two studies have shown somewhat contradicting results, implying a correlation between increased mDCs infiltration, and shorter survival and increased metastasis (172, 173). More recently, PD-L1+ DCs were clearly associated with CD8+ T cell infiltration and good survival in CRC (174). Interestingly, several studies have linked the observed defects of DCs and poorer survival with increased expression of COX-2, HMGB1, IL-6, and TGF-β by CRC (56, 66, 153, 161, 162, 167). Of note, a limitation of many of these studies is the use of a small set, and often non-DC specific markers to characterize DCs and their maturation status. Notwithstanding, these studies certainly provide valuable insight on TIDCs distribution and prognostic value in CRC patients.
Besides TIDCs, numerical and functional defects of circulating DCs in CRC patients have also been observed. In general and in relation to disease progression, a decreased number of circulating DCs, increased number of progenitors, and a higher iDC/mDC ratio in CRC patients have been reported (175–179). These defects have been associated with increased serum levels of TGF-β and VEGF (175, 176, 179). Furthermore, functional defects have been noted, including defective ex vivo differentiation and maturation of DCs from monocytes, tolerogenic phenotypes with decreased IL-12 and TNF-α release, increased release of IL-10 and TGF-β, and a compromised ability to induce allogenic T cell proliferation (179–182). These findings highlight the importance of systemic immunosuppression exerted by the CRC.
In addition, several studies have concluded that CRC explant tissue-conditioned medium inhibits LPS-induced in vitro DC maturation and function. In these assays, upregulation of co-stimulatory markers (CD80 and CD86) and PD-L1, and secretion of IL-12 and TNF-α was inhibited, while secretion of IL-10 was potentiated suggesting DCs acquire a tolerogenic phenotype (184–187). One study even correlated stronger inhibition of DC maturation by CRC-conditioned medium with poorer survival in patients (186). A variety of tumor-derived factors secreted by CRC including VEGF, CCL2, CXCL1, and CXCL5, were shown to mediate these effects synergistically (184, 185). Collectively, these studies demonstrate that CRC, mainly through soluble mediators, evades anti-tumor responses by exerting local and systemic immunosuppression and disabling both infiltrating and circulating DCs.
Strikingly, very few studies have focused on the different DC subsets, which present different functional specializations, in relation to CRC and to T cell function. For instance, infiltration by pDCs has yielded controversial results, with some studies associating pDCs infiltration with Treg development and poorer prognosis and others with increased survival, but without taking maturation status into account (155–157).
All in all, the reported findings illustrate the importance of local and systemic modulation of DCs in CRC. Currently, there are insufficient available data to elucidate on the complex mechanisms underlying DC dysfunction in CRC patients. To develop a more comprehensive picture of the implications of DC dysfunction in CRC, additional studies will be needed to determine the differential roles of the DC subsets in CRC, taking into account their functional specialization, maturation status and plasticity, which can have contrary impacts on tumor progression and prognosis (73). Moreover, further insight on the differences between metastatic and primary tumor sites will be of value.
Tumor-Induced DC Dysfunction and Immunotherapy Efficacy
As illustrated in the previous section, the CRC immunosuppressive TME shifts the delicate balance of DCs from inflammation to tolerance, fueling disease progression and spread. In addition, DC dysregulation has also been implicated in patients’ unresponsiveness to immunotherapies, further contributing to a poor prognosis. Current immunotherapeutic approaches for CRC have been mainly focused on targeting T cells, either by immune checkpoint inhibitors or by stimulating T cell activating receptors (188). However, only CRC patients harboring tumors with high mutational burden - MSI, accounting for less than 5% of the patients with mCRC - benefit from these treatments (35, 36).
Interestingly, in MSS CRC patients tumor-infiltrating neoantigen-specific T cells have been detected despite their low mutational burden and low responsiveness to immune checkpoint inhibitors (189). This and other data suggest that, upon treatment, tumor-specific T cells can be generated but are not functional (47, 189, 190). This low T cell reactivity has been linked to a TGF-β-rich TME (189). Importantly, this T cell-centric approach of immunotherapy does not account for DC impairments, despite their crucial role in T cell priming, activation, and recruitment in the tumor bed.
Indeed, several studies have emphasized a strong dependency of effective immune checkpoint inhibition on correctly functioning and activated TIDCs. These studies confirm that cross-priming, licensing, and recruitment of T cells by functional intratumoral DCs is required for successful responses to anti-PD-1 therapy and T cell adoptive therapy. And, that this is mainly mediated by CXCL9/10, IL-12, and IFN-γ secretion by DCs (85, 123, 191–195).
In line with this, one study in a melanoma model has shown that expansion and activation of TIDCs at the tumor site by recruiting and activating agents such as FLT3L and poly I:C, enhanced therapeutic response to immune checkpoint inhibitors (196). In addition, a recent study indicates that blocking CRC-induced WNT2 secretion by CAFs restores DC functions enhancing anti-PD-1 efficacy (197). These studies emphasize the importance of functional DCs in effective intra-tumoral DC-T cell crosstalk for immunotherapy response. Therefore, targeting T cells without taking into account and resolving DC dysfunction might hamper the success of T cell-centered immunotherapies in CRC (198, 199).
Additionally, other studies show that NK cell and DC reciprocal interactions are required for enhanced T cell responses and determine responsiveness to immune checkpoint inhibition treatment (200, 201). NK cell frequency correlates with enhanced DC infiltration in the tumor, which in turn correlates with patient responsiveness to immune checkpoint inhibitors and increased survival. Moreover, studies have shown that DC vaccine efficacy is strongly dependent on NK cell activity and DC-NK cell crosstalk (202–204). This highlights the importance of NK cells in tumor immunity not only by their ability to kill cancer cells directly, but also as promoters of DC activity.
In the clinic, studies with DC vaccines and other DC-targeting therapies in CRC have yielded modest results. DC vaccines consisting of ex vivo activated patient DCs, tailored against tumor-associated antigens, have the potential to trigger and boost T cell anti-tumor responses. This highly specific approach, combined with a relatively low risk of toxicity, makes DC vaccines particularly promising (10, 205). However, despite initial encouraging results including increased T cell responses and a good safety profile, DC vaccines have not shown strong therapeutic benefit in CRC patients (206–216). This is hypothesized to be linked to the strongly suppressive TME, particularly a TGF-β rich TME (10, 217, 218) and, consequently, defective and immunosuppressive DC populations. Besides suppressing administered DCs, these dysfunctional DC subsets can also limit T cell infiltration and effector function (96, 219). Current studies focus on improving vaccine platforms, increasing and expanding tumor specificity of vaccines, counteracting the host immunosuppressive mechanisms of resistance, and testing combinatorial therapies (220). Indeed, three ongoing or recently completed trials for mCRC aim to synergize DC vaccines with IL-2 (NCT02919644) or with immunological checkpoint inhibitors (NCT04912765 and NCT03152565). In conclusion, it seems that efficacy of immunotherapies is reliant on functional DCs for proper T cell-DC-NK cell crosstalk, which is disrupted by the strongly immunosuppressive TME.
Reverting DC Dysfunction to Unleash Anti-Tumor Immunity and Response to Immunotherapy
Mounting evidence highlights the central role of DCs in anti-tumor immunity and consequently on immunotherapeutic responsiveness and urges the development of DC- and TME-targeted therapies to tackle DC dysfunction in treatment-resistant CRC patients. Unleashing DCs emerges as a crucial step to make immune checkpoint inhibition and other immunotherapies available to all CRC patients. The development of combinatorial therapies for mCRC is being actively sought since monotherapies have not demonstrated effectiveness in improving patient’s outcome (10). Since tumors evolved multiple mechanisms to avoid immune evasion, a multi-faceted approach focusing on different mechanisms will most likely be needed to address current issues in CRC treatment (10, 199, 221–223).
To breach the strong immunosuppressive CRC microenvironment, a promising therapeutic venue seems to include combinatorial strategies to in concert: 1) foster DC activation and function, boosting antigen presentation or TIDC abundance, 2) stimulate and unleash NK or T cells by immune checkpoint inhibition, and 3) target tumor-mediated mechanisms and tumor-released immunosuppressive factors. This should in principle allow overcoming of the strong suppressive TME, trigger more efficient NK-DC-T cell crosstalk and lead to full unleashing of local and systemic anti-tumor immune responses. As a metaphor this approach can be described as not only releasing the brakes of the immune system by lifting the vail of immunosuppression but also pressing the gas pedal by stimulating the key coordinators and effectors of immune responses.
The main aim of DC-targeting strategies is to skew the TIDC phenotype from tolerogenic to inflammatory, and enhance DC-intrinsic abilities. Strategies that aim to restore and stimulate DC functions, although not powerful in the clinic alone, might have a key role in combinatorial treatments (10, 224–228). Approaches to circumvent tumor-mediated DC dysfunction can consist of DC vaccines or directly targeting and stimulating DCs in situ, by delivering DC-recruiting or promoting agents such as FLT3L, CpG, TLR and STING agonists (199). In addition, reverting DC dysfunction would break the positive feedback loop of immunosuppression, allowing wider reprogramming of the TME.
Thus far, overcoming the TME remains the most important and daunting challenge for CRC. Despite promising leads on the apparent key role of tumor-released suppressive factors such as TGF-β, VEGF, and PGE2, it is still largely unclear how CRC shapes DC fate. A more complete understanding of the complex web of interactions and elucidation on key mechanisms in play between CRC and DCs is required. Future studies will certainly provide new rationales and open doors for the design of novel therapies to unlock the full anti-tumor potential of DCs, while sensitizing previously unresponsive patients to immunotherapy.
Future Perspectives
There is abundant room for further progress in understanding CRC-DC interactions. In future studies, it is important to consider both the functional and phenotypical plasticity of DCs subsets, and the heterogeneity and complexity of CRC. It is well-established that different DC subsets can have distinct, either complementary or opposing, functions in anti-tumor immunity and hence affect tumor progression differently (73). To better dissect this heterogeneity, further research is required to characterize the functional status, quantify, and assess the distribution of the different DC populations present in the tumor sites and in circulation in CRC patients. Whether these are correlated to CRC molecular subtype, disease progression, prognosis, treatment response or immunosuppressive systemic factors needs to be determined. Possibly, different subsets have different predictive potential and might arise as novel biomarkers for disease progression and treatment response. To get a comprehensive overview, patient material from different disease stages and molecular subtypes, including tissue sections, fresh biopsies and blood samples, will be valuable.
Furthermore, future research should aim to explore and study both metastatic and primary sites. There are few studies with a comparative perspective lens between primary and metastatic CRC. It is important to address differences in DCs infiltration, phenotype and functionality, and tumor-mediated evasion mechanisms. Metastatic sites are often different not only at a molecular level but also in the immune landscape and the TME. Moreover, it is important to research metastases since these are often more resistant to therapy than their primary counterparts. As such, investigating and tackling the immunosuppressive environment of not only the primary tumor, but also the metastatic sites is of outermost importance (229).
At the molecular level, it is also important to gain insight on how CRC shapes the different DC subsets, what are the underlying mechanisms, and what are the local mediators of DC dysfunction. Also, many questions remain unanswered regarding how the different subsets correlate with each other and with T and NK cell effector function in CRC. To study in more detail these CRC-specific underlying molecular mechanisms, in vitro models are most suitable. Currently, there is a shortage of relevant and representative in vitro models to study the CRC TME.
Recently, patient-derived organoids (PDOs) are emerging as a powerful tool to study CRC heterogeneity and therapy responses by faithfully recapitulating many of the traits of patients’ disease. Moreover, studying DCs in a tumor organoid context is still a largely unexplored field with a lot of opportunities. As such, 3D co-culture systems of DCs and CRC PDOs seem a promising approach to more closely study their interactions. In order to more representatively model the biological context and the in vivo interactions, higher complexity 3D co-culture models including stroma cells and different immune infiltrates that mimic the complex structure and composition of a tumor and its microenvironment are sought after (104, 230–232). In this line of research, recently a complex organotypic skin model was successfully developed to study DCs in melanoma (104). Hopefully in the near future, similar organotypic or complex 3D organoid based co-culture systems can be developed to study the CRC TME, both primary and metastatic, and follow the behavior of different subsets of DCs.
In addition, these models can possibly achieve sufficient physiological relevance to serve as testing platforms for novel therapies. This would be valuable since there are many unexplored combinatorial opportunities including TME- and DC-targeting therapies for CRC. It also remains to be determined which DC targeting strategies are effective and synergize with other immunotherapies in CRC patients. Furthermore, co-culture systems with PDOs offer the opportunity to test and tailor combinatorial strategies in a patient-specific manner.
Conclusions
Metastatic CRC remains one of the most aggressive and lethal cancers, with the large majority of patients being refractory to therapy. Disease aggressiveness and resistance to therapy has been linked to the tumor genetic makeup and a highly immunosuppressive TME. DCs have key roles in anti-tumor immunity, making them crucial targets for tumor evasion mechanisms. Overall, literature suggests that CRC-induced DC dysfunction is decisive for: impairing anti-tumor immune responses, tumor progression, metastatic colonization and initiation, and unresponsiveness to immunotherapies such as immune checkpoint blockage.
Unravelling the complex crosstalk between CRC and DCs and determining its significance for patients holds promise for identifying and modulating key mechanisms involved in disease progression. This opens doors for the design of novel strategies to reverse DC dysfunction. In principle, restoring DC functions can unlock the full anti-tumor potential of DCs and hence, unleash systemic anti-tumor immunity mediated by T and NK cells against primary and metastatic CRC. This approach should make immunotherapies available for more patients. Therefore, reverting DC dysfunction emerges as a promising path for CRC treatment and a critical pillar for combinatorial strategies. In order to design novel therapies, a completer and more comprehensive overview of the CRC TME and the mechanisms driving tumor progression and induction of DC tolerizing properties is necessary. For futures studies, examining patients’ tissues and blood and development of in vitro TME co-culture models based on PDOs appear as promising tools to obtain the missing knowledge.
Author Contributions
BS performed literature searches and wrote the first version. All authors contributed to the article and approved the submitted version.
Funding
DT is funded by a Hypatia Tenure Track Fellowship grant from the Radboudumc and by the Netherlands Organisation for Scientific Research (NWO/ZonMW VIDI grant number 91719371). IV is funded by EU grant Oncobiome (825410) and Health Holland/SGF grant DC4Balance (LSHM18056-SGF).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We would like to thank all members of the Cambi, Tauriello, and De Vries labs (Radboudumc Nijmegen) for valuable discussions.
References
- 1. Rawla P, Sunkara T, Barsouk A. Epidemiology of Colorectal Cancer: Incidence, Mortality, Survival, and Risk Factors. Prz Gastroenterol (2019) 14:89–103. doi: 10.5114/pg.2018.81072 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2019. CA Cancer J Clin (2019) 69:7–34. doi: 10.3322/caac.21551 [DOI] [PubMed] [Google Scholar]
- 3. Siegel RL, Miller KD, Goding Sauer A, Fedewa SA, Butterly LF, Anderson JC, et al. Colorectal Cancer Statistics, 2020. CA Cancer J Clin (2020) 70:145–64. doi: 10.3322/caac.21601 [DOI] [PubMed] [Google Scholar]
- 4. Wang J, Li S, Liu Y, Zhang C, Li H, Lai B. Metastatic Patterns and Survival Outcomes in Patients With Stage IV Colon Cancer: A Population-Based Analysis. Cancer Med (2020) 9:361–73. doi: 10.1002/cam4.2673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Oki E, Ando K, Nakanishi R, Sugiyama M, Nakashima Y, Kubo N, et al. Recent Advances in Treatment for Colorectal Liver Metastasis. Ann Gastroenterol Surg (2018) 2:167–75. doi: 10.1002/ags3.12071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Gootjes EC, Stok EP, Buffart TE, Bakkerus L, Labots M, Zonderhuis BM, et al. Safety and Feasibility of Additional Tumor Debulking to First-Line Palliative Combination Chemotherapy for Patients With Multiorgan Metastatic Colorectal Cancer. Oncologist (2020) 25:e1195–201. doi: 10.1634/theoncologist.2019-0693 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Cremolini C, Loupakis F, Antoniotti C, Lupi C, Sensi E, Lonardi S, et al. FOLFOXIRI Plus Bevacizumab Versus FOLFIRI Plus Bevacizumab as First-Line Treatment of Patients With Metastatic Colorectal Cancer: Updated Overall Survival and Molecular Subgroup Analyses of the Open-Label, Phase 3 TRIBE Study. Lancet Oncol (2015) 16:1306–15. doi: 10.1016/S1470-2045(15)00122-9 [DOI] [PubMed] [Google Scholar]
- 8. Venook AP, Niedzwiecki D, Lenz H-J, Innocenti F, Fruth B, Meyerhardt JA, et al. Effect of First-Line Chemotherapy Combined With Cetuximab or Bevacizumab on Overall Survival in Patients With KRAS Wild-Type Advanced or Metastatic Colorectal Cancer. JAMA (2017) 317:2392. doi: 10.1001/jama.2017.7105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Heinemann V, von Weikersthal LF, Decker T, Kiani A, Vehling-Kaiser U, Al-Batran S-E, et al. FOLFIRI Plus Cetuximab Versus FOLFIRI Plus Bevacizumab as First-Line Treatment for Patients With Metastatic Colorectal Cancer (FIRE-3): A Randomised, Open-Label, Phase 3 Trial. Lancet Oncol (2014) 15:1065–75. doi: 10.1016/S1470-2045(14)70330-4 [DOI] [PubMed] [Google Scholar]
- 10. Janssen E, Subtil B, de la Jara Ortiz F, Verheul HMW, Tauriello DVF. Combinatorial Immunotherapies for Metastatic Colorectal Cancer. Cancers (Basel) (2020) 12:1875. doi: 10.3390/cancers12071875 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Kalyan A, Kircher S, Shah H, Mulcahy M, Benson A. Updates on Immunotherapy for Colorectal Cancer. J Gastrointest Oncol (2018) 9:160–9. doi: 10.21037/jgo.2018.01.17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Mittal D, Gubin MM, Schreiber RD, Smyth MJ. New Insights Into Cancer Immunoediting and its Three Component Phases-Elimination, Equilibrium and Escape. Curr Opin Immunol (2014) 27:16–25. doi: 10.1016/j.coi.2014.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Tauriello DVF, Batlle E. Targeting the Microenvironment in Advanced Colorectal Cancer. Trends Cancer (2016) 2:495–504. doi: 10.1016/j.trecan.2016.08.001 [DOI] [PubMed] [Google Scholar]
- 14. Tauriello DVF, Palomo-Ponce S, Stork D, Berenguer-Llergo A, Badia-Ramentol J, Iglesias M, et al. Tgfβ Drives Immune Evasion in Genetically Reconstituted Colon Cancer Metastasis. Nature (2018) 554:538–43. doi: 10.1038/nature25492 [DOI] [PubMed] [Google Scholar]
- 15. Gardner A, Ruffell B. Dendritic Cells and Cancer Immunity. Trends Immunol (2016) 37:855–65. doi: 10.1016/j.it.2016.09.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Wculek SK, Cueto FJ, Mujal AM, Melero I, Krummel MF, Sancho D. Dendritic Cells in Cancer Immunology and Immunotherapy. Nat Rev Immunol (2019) 20:7–24. doi: 10.1038/s41577-019-0210-z [DOI] [PubMed] [Google Scholar]
- 17. Headley MB, Bins A, Nip A, Roberts EW, Looney MR, Gerard A, et al. Visualization of Immediate Immune Responses to Pioneer Metastatic Cells in the Lung. Nature (2016) 531:513–7. doi: 10.1038/nature16985 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Goc J, Germain C, Vo-Bourgais TKD, Lupo A, Klein C, Knockaert S, et al. Dendritic Cells in Tumor-Associated Tertiary Lymphoid Structures Signal a Th1 Cytotoxic Immune Contexture and License the Positive Prognostic Value of Infiltrating CD8+ T Cells. Cancer Res (2014) 74:705–15. doi: 10.1158/0008-5472.CAN-13-1342 [DOI] [PubMed] [Google Scholar]
- 19. Coppola D, Nebozhyn M, Khalil F, Dai H, Yeatman T, Loboda A, et al. Unique Ectopic Lymph Node-Like Structures Present in Human Primary Colorectal Carcinoma Are Identified by Immune Gene Array Profiling. Am J Pathol (2011) 179:37–45. doi: 10.1016/j.ajpath.2011.03.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Broz ML, Binnewies M, Boldajipour B, Nelson AE, Pollack JL, Erle DJ, et al. Dissecting the Tumor Myeloid Compartment Reveals Rare Activating Antigen-Presenting Cells Critical for T Cell Immunity. Cancer Cell (2014) 26:638–52. doi: 10.1016/j.ccell.2014.09.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Tel J, Anguille S, Waterborg CEJ, Smits EL, Figdor CG, de Vries IJM. Tumoricidal Activity of Human Dendritic Cells. Trends Immunol (2014) 35:38–46. doi: 10.1016/j.it.2013.10.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Vicari AP, Caux C, Trinchieri G. Tumour Escape From Immune Surveillance Through Dendritic Cell Inactivation. Semin Cancer Biol (2002) 12:33–42. doi: 10.1006/scbi.2001.0400 [DOI] [PubMed] [Google Scholar]
- 23. Legitimo A, Consolini R, Failli A, Orsini G, Spisni R. Dendritic Cell Defects in the Colorectal Cancer. Hum Vaccines Immunother (2014) 10:3224–35. doi: 10.4161/hv.29857 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Nguyen H, Duong H. The Molecular Characteristics of Colorectal Cancer: Implications for Diagnosis and Therapy (Review). Oncol Lett (2018) 16:9–18. doi: 10.3892/ol.2018.8679 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Ganesh K, Stadler ZK, Cercek A, Mendelsohn RB, Shia J, Segal NH, et al. Immunotherapy in Colorectal Cancer: Rationale, Challenges and Potential. Nat Rev Gastroenterol Hepatol (2019) 16:361–75. doi: 10.1038/s41575-019-0126-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Sadanandam A, Lyssiotis CA, Homicsko K, Collisson EA, Gibb WJ, Wullschleger S, et al. A Colorectal Cancer Classification System That Associates Cellular Phenotype and Responses to Therapy. Nat Med (2013) 19:619–25. doi: 10.1038/nm.3175 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Marisa L, de Reynies A, Duval A, Selves J, Gaub MP, Vescovo L, et al. Gene Expression Classification of Colon Cancer Into Molecular Subtypes: Characterization, Validation, and Prognostic Value. PloS Med (2013) 10:e1001453. doi: 10.1371/journal.pmed.1001453 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Fridman WH, Miller I, Sautès-Fridman C, Byrne AT. Therapeutic Targeting of the Colorectal Tumor Stroma. Gastroenterology (2020) 158:303–21. doi: 10.1053/j.gastro.2019.09.045 [DOI] [PubMed] [Google Scholar]
- 29. Valle L, Vilar E, Tavtigian SV, Stoffel EM. Genetic Predisposition to Colorectal Cancer: Syndromes, Genes, Classification of Genetic Variants and Implications for Precision Medicine. J Pathol (2019) 247:574–88. doi: 10.1002/path.5229 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Kanth P, Grimmett J, Champine M, Burt R, Samadder NJ. Hereditary Colorectal Polyposis and Cancer Syndromes: A Primer on Diagnosis and Management. Am J Gastroenterol (2017) 112:1509–25. doi: 10.1038/ajg.2017.212 [DOI] [PubMed] [Google Scholar]
- 31. Tariq K, Ghias K. Colorectal Cancer Carcinogenesis: A Review of Mechanisms. Cancer Biol Med (2016) 13:120–35. doi: 10.28092/j.issn.2095-3941.2015.0103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Nguyen LH, Goel A, Chung DC. Pathways of Colorectal Carcinogenesis. Gastroenterology (2020) 158:291–302. doi: 10.1053/j.gastro.2019.08.059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Gupta R, Sinha S, Paul RN. The Impact of Microsatellite Stability Status in Colorectal Cancer. Curr Probl Cancer (2018) 42:548–59. doi: 10.1016/j.currproblcancer.2018.06.010 [DOI] [PubMed] [Google Scholar]
- 34. Westdorp H, Fennemann FL, Weren RDA, Bisseling TM, Ligtenberg MJL, Figdor CG, et al. Opportunities for Immunotherapy in Microsatellite Instable Colorectal Cancer. Cancer Immunol Immunother (2016) 65:1249–59. doi: 10.1007/s00262-016-1832-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Le DT, Uram JN, Wang H, Bartlett BR, Kemberling H, Eyring AD, et al. PD-1 Blockade in Tumors With Mismatch-Repair Deficiency. N Engl J Med (2015) 372:2509–20. doi: 10.1056/NEJMoa1500596 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Overman MJ, Kopetz S, McDermott RS, Leach J, Lonardi S, Lenz H-J, et al. Nivolumab ± Ipilimumab in Treatment (Tx) of Patients (Pts) With Metastatic Colorectal Cancer (mCRC) With and Without High Microsatellite Instability (MSI-H): CheckMate-142 Interim Results. J Clin Oncol (2016) 34:3501–1. doi: 10.1200/jco.2016.34.15_suppl.3501 [DOI] [Google Scholar]
- 37. Joyce JA, Fearon DT. T Cell Exclusion, Immune Privilege, and the Tumor Microenvironment. Sci (80- ) (2015) 348:74–80. doi: 10.1126/science.aaa6204 [DOI] [PubMed] [Google Scholar]
- 38. Borelli B, Fontana E, Giordano M, Antoniotti C, Lonardi S, Bergamo F, et al. Prognostic and Predictive Impact of Consensus Molecular Subtypes and CRCAssigner Classifications in Metastatic Colorectal Cancer: A Translational Analysis of the TRIBE2 Study. ESMO Open (2021) 6:100073. doi: 10.1016/j.esmoop.2021.100073 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Guinney J, Dienstmann R, Wang X, de Reyniès A, Schlicker A, Soneson C, et al. The Consensus Molecular Subtypes of Colorectal Cancer. Nat Med (2015) 21:1350–6. doi: 10.1038/nm.3967 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Calon A, Lonardo E, Berenguer-Llergo A, Espinet E, Hernando-Momblona X, Iglesias M, et al. Stromal Gene Expression Defines Poor-Prognosis Subtypes in Colorectal Cancer. Nat Genet (2015) 47:320–9. doi: 10.1038/ng.3225 [DOI] [PubMed] [Google Scholar]
- 41. Tauriello DVF, Calon A, Lonardo E, Batlle E. Determinants of Metastatic Competency in Colorectal Cancer. Mol Oncol (2017) 11:97–119. doi: 10.1002/1878-0261.12018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Balkwill FR, Capasso M, Hagemann T. The Tumor Microenvironment at a Glance. J Cell Sci (2012) 125:5591–6. doi: 10.1242/jcs.116392 [DOI] [PubMed] [Google Scholar]
- 43. Quail DF, Joyce JA. Microenvironmental Regulation of Tumor Progression and Metastasis. Nat Med (2013) 19:1423–37. doi: 10.1038/nm.3394 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Hanahan D, Coussens LM. Accessories to the Crime: Functions of Cells Recruited to the Tumor Microenvironment. Cancer Cell (2012) 21:309–22. doi: 10.1016/j.ccr.2012.02.022 [DOI] [PubMed] [Google Scholar]
- 45. Pietras K, Östman A. Hallmarks of Cancer: Interactions With the Tumor Stroma. Exp Cell Res (2010) 316:1324–31. doi: 10.1016/J.YEXCR.2010.02.045 [DOI] [PubMed] [Google Scholar]
- 46. McLean MH, Murray GI, Stewart KN, Norrie G, Mayer C, Hold GL, et al. The Inflammatory Microenvironment in Colorectal Neoplasia. PloS One (2011) 6:e15366. doi: 10.1371/journal.pone.0015366 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Galon J, Costes A, Sanchez-Cabo F, Kirilovsky A, Mlecnik B, Lagorce-Pagès C, et al. Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome. Sci (80- ) (2006) 313:1960–4. doi: 10.1126/science.1129139 [DOI] [PubMed] [Google Scholar]
- 48. Lasry A, Zinger A, Ben-Neriah Y. Inflammatory Networks Underlying Colorectal Cancer. Nat Immunol (2016) 17:230–40. doi: 10.1038/ni.3384 [DOI] [PubMed] [Google Scholar]
- 49. Croci DO, Zacarías Fluck MF, Rico MJ, Matar P, Rabinovich GA, Scharovsky OG. Dynamic Cross-Talk Between Tumor and Immune Cells in Orchestrating the Immunosuppressive Network at the Tumor Microenvironment. Cancer Immunol Immunother (2007) 56:1687–700. doi: 10.1007/s00262-007-0343-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Shi Y, Li Z, Zheng W, Liu X, Sun C, Laugsand JB, et al. Changes of Immunocytic Phenotypes and Functions From Human Colorectal Adenomatous Stage to Cancerous Stage: Update. Immunobiology (2015) 220:1186–96. doi: 10.1016/j.imbio.2015.06.003 [DOI] [PubMed] [Google Scholar]
- 51. Gessani S, Belardelli F. Immune Dysfunctions and Immunotherapy in Colorectal Cancer: The Role of Dendritic Cells. Cancers (Basel) (2019) 11:1491. doi: 10.3390/cancers11101491 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Fares J, Fares MY, Khachfe HH, Salhab HA, Fares Y. Molecular Principles of Metastasis: A Hallmark of Cancer Revisited. Signal Transduct Target Ther (2020) 5:1–17. doi: 10.1038/s41392-020-0134-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Batlle E, Massagué J. Transforming Growth Factor-β Signaling in Immunity and Cancer. Immunity (2019) 50:924–40. doi: 10.1016/j.immuni.2019.03.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Yang L, Pang Y, Moses HL. TGF-β and Immune Cells: An Important Regulatory Axis in the Tumor Microenvironment and Progression. Trends Immunol (2010) 31:220–7. doi: 10.1016/j.it.2010.04.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Zhang B, Halder SK, Zhang S, Datta PK. Targeting Transforming Growth Factor-β Signaling in Liver Metastasis of Colon Cancer. Cancer Lett (2009) 277:114–20. doi: 10.1016/j.canlet.2008.11.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Gulubova M, Manolova I, Ananiev J, Julianov A, Yovchev Y, Peeva K. Role of TGF-β1, Its Receptor Tgfβrii, and Smad Proteins in the Progression of Colorectal Cancer. Int J Colorectal Dis (2010) 25:591–9. doi: 10.1007/s00384-010-0906-9 [DOI] [PubMed] [Google Scholar]
- 57. Tsushima H, Ito N, Tamura S, Matsuda Y, Inada M, Yabuuchi I, et al. Circulating Transforming Growth Factor β1 as a Predictor of Liver Metastasis After Resection in Colorectal Cancer. Clin Cancer Res (2001) 7:1258–62. [PubMed] [Google Scholar]
- 58. Calon A, Espinet E, Palomo-Ponce S, Tauriello DVF, Iglesias M, Céspedes MV, et al. Dependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiation. Cancer Cell (2012) 22:571–84. doi: 10.1016/j.ccr.2012.08.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Calon A, Tauriello DVF, Batlle E. TGF-Beta in CAF-Mediated Tumor Growth and Metastasis. Semin Cancer Biol (2014) 25:15–22. doi: 10.1016/j.semcancer.2013.12.008 [DOI] [PubMed] [Google Scholar]
- 60. Flavell RA, Sanjabi S, Wrzesinski SH, Licona-Limón P. The Polarization of Immune Cells in the Tumour Environment by TGFÎ 2. Nat Rev Immunol (2010) 10:554–67. doi: 10.1038/nri2808 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Demaria O, Cornen S, Daëron M, Morel Y, Medzhitov R, Vivier E. Harnessing Innate Immunity in Cancer Therapy. Nature (2019) 574:45–56. doi: 10.1038/s41586-019-1593-5 [DOI] [PubMed] [Google Scholar]
- 62. Villalba M, Evans SR, Vidal-Vanaclocha F, Calvo A. Role of TGF-β in Metastatic Colon Cancer: It Is Finally Time for Targeted Therapy. Cell Tissue Res (2017) 370:29–39. doi: 10.1007/s00441-017-2633-9 [DOI] [PubMed] [Google Scholar]
- 63. Toyoshima Y, Kitamura H, Xiang H, Ohno Y, Homma S, Kawamura H, et al. IL6 Modulates the Immune Status of the Tumor Microenvironment to Facilitate Metastatic Colonization of Colorectal Cancer Cells. Cancer Immunol Res (2019) 7:1944–57. doi: 10.1158/2326-6066.CIR-18-0766 [DOI] [PubMed] [Google Scholar]
- 64. Zhang Y, Davis C, Shah S, Hughes D, Ryan JC, Altomare D, et al. IL-33 Promotes Growth and Liver Metastasis of Colorectal Cancer in Mice by Remodeling the Tumor Microenvironment and Inducing Angiogenesis. Mol Carcinog (2016) 56:272–87. doi: 10.1002/mc.22491 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Chang J, Vacher J, Yao B, Fan X, Zhang B, Harris RC, et al. Prostaglandin E Receptor 4 (EP4) Promotes Colonic Tumorigenesis. Oncotarget (2015) 6:33500–11. doi: 10.18632/oncotarget.5589 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Wendum D, Masliah J, Trugnan G, Fléjou JF. Cyclooxygenase-2 and Its Role in Colorectal Cancer Development. Virchows Arch (2004) 445:327–33. doi: 10.1007/s00428-004-1105-2 [DOI] [PubMed] [Google Scholar]
- 67. Schetter AJ, Giang HN, Bowman ED, Mathé EA, Siu TY, Hawkes JE, et al. Association of Inflammation-Related and microRNA Gene Expression With Cancer-Specific Mortality of Colon Adenocarcinoma. Clin Cancer Res (2009) 15:5878–87. doi: 10.1158/1078-0432.CCR-09-0627 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Liu X, Zhu L, Lu X, Bian H, Wu X, Yang W, et al. IL-33/ST2 Pathway Contributes to Metastasis of Human Colorectal Cancer. Biochem Biophys Res Commun (2014) 453:486–92. doi: 10.1016/j.bbrc.2014.09.106 [DOI] [PubMed] [Google Scholar]
- 69. Kortylewski M, Xin H, Kujawski M, Lee H, Liu Y, Harris T, et al. Regulation of the IL-23 and IL-12 Balance by Stat3 Signaling in the Tumor Microenvironment. Cancer Cell (2009) 15:114–23. doi: 10.1016/j.ccr.2008.12.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Brandacher G, Perathoner A, Ladurner R, Schneeberger S, Obrist P, Winkler C, et al. Prognostic Value of Indoleamine 2,3-Dioxygenase Expression in Colorectal Cancer: Effect on Tumor-Infiltrating T Cells. Clin Cancer Res (2006) 12:1144–51. doi: 10.1158/1078-0432.CCR-05-1966 [DOI] [PubMed] [Google Scholar]
- 71. Munn DH, Shafizadeh E, Attwood JT, Bondarev I, Pashine A, Mellor AL. Inhibition of T Cell Proliferation by Macrophage Tryptophan Catabolism. J Exp Med (1999) 189:1363–72. doi: 10.1084/jem.189.9.1363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Mezrich JD, Fechner JH, Zhang X, Johnson BP, Burlingham WJ, Bradfield CA. An Interaction Between Kynurenine and the Aryl Hydrocarbon Receptor Can Generate Regulatory T Cells. J Immunol (2010) 185:3190–8. doi: 10.4049/jimmunol.0903670 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Laoui D, Keirsse J, Morias Y, Van Overmeire E, Geeraerts X, Elkrim Y, et al. The Tumour Microenvironment Harbours Ontogenically Distinct Dendritic Cell Populations With Opposing Effects on Tumour Immunity. Nat Commun (2016) 7:13720. doi: 10.1038/ncomms13720 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Böttcher JP, Bonavita E, Chakravarty P, Blees H, Cabeza-Cabrerizo M, Sammicheli S, et al. NK Cells Stimulate Recruitment of Cdc1 Into the Tumor Microenvironment Promoting Cancer Immune Control. Cell (2018) 172:1022–1037.e14. doi: 10.1016/J.CELL.2018.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Carenza C, Calcaterra F, Oriolo F, Di Vito C, Ubezio M, Della PMG, et al. Bella S Della. Costimulatory Molecules and Immune Checkpoints Are Differentially Expressed on Different Subsets of Dendritic Cells. Front Immunol (2019) 10:1325. doi: 10.3389/fimmu.2019.01325 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Kim MK, Kim J. Properties of Immature and Mature Dendritic Cells: Phenotype, Morphology, Phagocytosis, and Migration. RSC Adv (2019) 9:11230–8. doi: 10.1039/C9RA00818G [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Dudek AM, Martin S, Garg AD, Agostinis P. Immature, Semi-Mature, and Fully Mature Dendritic Cells: Toward a DC-Cancer Cells Interface That Augments Anticancer Immunity. Front Immunol (2013) 4:438. doi: 10.3389/fimmu.2013.00438 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Cerboni S, Gentili M, Manel N. (2013). Diversity of Pathogen Sensors in Dendritic Cells. Adv Immunol 120:211–37. doi: 10.1016/B978-0-12-417028-5.00008-9 [DOI] [PubMed] [Google Scholar]
- 79. Tang M, Diao J, Cattral MS. Molecular Mechanisms Involved in Dendritic Cell Dysfunction in Cancer. Cell Mol Life Sci (2017) 74:761–76. doi: 10.1007/s00018-016-2317-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Ruffell B, Chang-Strachan D, Chan V, Rosenbusch A, Ho CMT, Pryer N, et al. Macrophage IL-10 Blocks CD8+ T Cell-Dependent Responses to Chemotherapy by Suppressing IL-12 Expression in Intratumoral Dendritic Cells. Cancer Cell (2014) 26:623–37. doi: 10.1016/j.ccell.2014.09.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Engelhardt JJ, Boldajipour B, Beemiller P, Pandurangi P, Sorensen C, Werb Z, et al. Marginating Dendritic Cells of the Tumor Microenvironment Cross-Present Tumor Antigens and Stably Engage Tumor-Specific T Cells. Cancer Cell (2012) 21:402–17. doi: 10.1016/j.ccr.2012.01.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Bennett CL, Chakraverty R. Dendritic Cells in Tissues: In Situ Stimulation of Immunity and Immunopathology. Trends Immunol (2012) 33:8–13. doi: 10.1016/j.it.2011.09.008 [DOI] [PubMed] [Google Scholar]
- 83. Sánchez-Paulete AR, Teijeira A, Cueto FJ, Garasa S, Pérez-Gracia JL, Sánchez-Arráez A, et al. Antigen Cross-Presentation and T-Cell Cross-Priming in Cancer Immunology and Immunotherapy. Ann Oncol (2017) 28:xii44–55. doi: 10.1093/annonc/mdx237 [DOI] [PubMed] [Google Scholar]
- 84. Roberts EW, Broz ML, Binnewies M, Headley MB, Nelson AE, Wolf DM, et al. Critical Role for CD103+/CD141+ Dendritic Cells Bearing CCR7 for Tumor Antigen Trafficking and Priming of T Cell Immunity in Melanoma. Cancer Cell (2016) 30:324–36. doi: 10.1016/j.ccell.2016.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Pfirschke C, Siwicki M, Liao HW, Pittet MJ. Tumor Microenvironment: No Effector T Cells Without Dendritic Cells. Cancer Cell (2017) 31:614–5. doi: 10.1016/j.ccell.2017.04.007 [DOI] [PubMed] [Google Scholar]
- 86. Calmeiro J, Carrascal M, Gomes C, Falcão A, Cruz MT, Neves BM. Highlighting the Role of DC-NK Cell Interplay in Immunobiology and Immunotherapy. In: Dendritic Cells. InTech; (2018). p. 25–45. doi: 10.5772/intechopen.78804 [DOI] [Google Scholar]
- 87. Gerosa F, Baldani-Guerra B, Nisii C, Marchesini V, Carra G, Trinchieri G. Reciprocal Activating Interaction Between Natural Killer Cells and Dendritic Cells. J Exp Med (2002) 195:327–33. doi: 10.1084/jem.20010938 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Banchereau J, Steinman RM. Dendritic Cells and the Control of Immunity. Nature (1998) 392:245–52. doi: 10.1038/32588 [DOI] [PubMed] [Google Scholar]
- 89. Collin M, Bigley V. Human Dendritic Cell Subsets: An Update. Immunology (2018) 154:3–20. doi: 10.1111/imm.12888 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Shin KS, Jeon I, Kim BS, Kim IK, Park YJ, Koh CH, et al. Monocyte-Derived Dendritic Cells Dictate the Memory Differentiation of CD8+ T Cells During Acute Infection. Front Immunol (2019) 10:1887. doi: 10.3389/fimmu.2019.01887 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Tang-Huau TL, Gueguen P, Goudot C, Durand M, Bohec M, Baulande S, et al. Human In Vivo-Generated Monocyte-Derived Dendritic Cells and Macrophages Cross-Present Antigens Through a Vacuolar Pathway. Nat Commun (2018) 9:1–12. doi: 10.1038/s41467-018-04985-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Rhodes JW, Tong O, Harman AN, Turville SG. Human Dendritic Cell Subsets, Ontogeny, and Impact on HIV Infection. Front Immunol (2019) 10:1088. doi: 10.3389/fimmu.2019.01088 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Kushwah R, Hu J. Complexity of Dendritic Cell Subsets and Their Function in the Host Immune System. Immunology (2011) 133:409–19. doi: 10.1111/j.1365-2567.2011.03457.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Lutz MB, Schuler G. Immature, Semi-Mature and Fully Mature Dendritic Cells: Which Signals Induce Tolerance or Immunity? Trends Immunol (2002) 23:445–9. doi: 10.1016/S1471-4906(02)02281-0 [DOI] [PubMed] [Google Scholar]
- 95. Hargadon KM. Tumor-Altered Dendritic Cell Function: Implications for Anti-Tumor Immunity. Front Immunol (2013) 4:192. doi: 10.3389/fimmu.2013.00192 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. van Ee TJ, Van Acker HH, van Oorschot TG, Van Tendeloo VF, Smits EL, Bakdash G, et al. BDCA1+CD14+ Immunosuppressive Cells in Cancer, a Potential Target? Vaccines (2018) 6:65. doi: 10.3390/vaccines6030065 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Kiertscher SM, Luo J, Dubinett SM, Roth MD. Tumors Promote Altered Maturation and Early Apoptosis of Monocyte-Derived Dendritic Cells. J Immunol (2000) 164:1269–76. doi: 10.4049/jimmunol.164.3.1269 [DOI] [PubMed] [Google Scholar]
- 98. Failli A, Legitimo A, Orsini G, Romanini A, Consolini R. Numerical Defect of Circulating Dendritic Cell Subsets and Defective Dendritic Cell Generation From Monocytes of Patients With Advanced Melanoma. Cancer Lett (2013) 337:184–92. doi: 10.1016/j.canlet.2013.05.013 [DOI] [PubMed] [Google Scholar]
- 99. Nefedova Y, Huang M, Kusmartsev S, Bhattacharya R, Cheng P, Salup R, et al. Hyperactivation of STAT3 Is Involved in Abnormal Differentiation of Dendritic Cells in Cancer. J Immunol (2004) 172:464–74. doi: 10.4049/jimmunol.172.1.464 [DOI] [PubMed] [Google Scholar]
- 100. Sciarra A, Lichtner M, Autran Gomez AM, Mastroianni C, Rossi R, Mengoni F, et al. Characterization of Circulating Blood Dendritic Cell Subsets DC123+ (Lymphoid) and DC11C+ (Myeloid) in Prostate Adenocarcinoma Patients. Prostate (2007) 67:1–7. doi: 10.1002/pros.20431 [DOI] [PubMed] [Google Scholar]
- 101. Almand B, Clark JI, Nikitina E, van Beynen J, English NR, Knight SC, et al. Increased Production of Immature Myeloid Cells in Cancer Patients: A Mechanism of Immunosuppression in Cancer. J Immunol (2001) 166:678–89. doi: 10.4049/jimmunol.166.1.678 [DOI] [PubMed] [Google Scholar]
- 102. Hegde S, Krisnawan VE, Herzog BH, Zuo C, Breden MA, Knolhoff BL, et al. Dendritic Cell Paucity Leads to Dysfunctional Immune Surveillance in Pancreatic Cancer. Cancer Cell (2020) 37:289–307.e9. doi: 10.1016/j.ccell.2020.02.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Hoffmann TK, Müller-Berghaus J, Ferris RL, Johnson JT, Storkus WJ, Whiteside TL. Alterations in the Frequency of Dendritic Cell Subsets in the Peripheral Circulation of Patients With Squamous Cell Carcinomas of the Head and Neck. Clin Cancer Res (2002) 8:1787–93. [PubMed] [Google Scholar]
- 104. Di Blasio S, van Wigcheren GF, Becker A, van Duffelen A, Gorris M, Verrijp K, et al. The Tumour Microenvironment Shapes Dendritic Cell Plasticity in a Human Organotypic Melanoma Culture. Nat Commun (2020) 11:2749. doi: 10.1038/s41467-020-16583-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Lin JH, Huffman AP, Wattenberg MM, Walter DM, Carpenter EL, Feldser DM, et al. Type 1 Conventional Dendritic Cells Are Systemically Dysregulated Early in Pancreatic Carcinogenesis. J Exp Med (2020) 217:e20190673. doi: 10.1084/jem.20190673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Brown RD, Pope B, Murray A, Esdale W, Sze DM, Gibson J, et al. Dendritic Cells From Patients With Myeloma Are Numerically Normal But Functionally Defective as They Fail to Up-Regulate CD80 (B7-1) Expression After Hucd40lt Stimulation Because of Inhibition by Transforming Growth Factor-β1 and Interleukin-10. Blood (2001) 98:2992–8. doi: 10.1182/blood.V98.10.2992 [DOI] [PubMed] [Google Scholar]
- 107. Ratta M, Fagnoni F, Curti A, Vescovini R, Sansoni P, Oliviero B, et al. Dendritic Cells Are Functionally Defective in Multiple Myeloma: The Role of Interleukin-6. Blood (2002) 100:230–7. doi: 10.1182/blood.V100.1.230 [DOI] [PubMed] [Google Scholar]
- 108. Shurin MR, Yurkovetsky ZR, Tourkova IL, Balkir L, Shurin GV. Inhibition of CD40 Expression and CD40-Mediated Dendritic Cell Function by Tumor-Derived IL-10. Int J Cancer (2002) 101:61–8. doi: 10.1002/ijc.10576 [DOI] [PubMed] [Google Scholar]
- 109. Bharadwaj U, Li M, Zhang R, Chen C, Yao Q. Elevated Interleukin-6 and G-CSF in Human Pancreatic Cancer Cell Conditioned Medium Suppress Dendritic Cell Differentiation and Activation. Cancer Res (2007) 67:5479–88. doi: 10.1158/0008-5472.CAN-06-3963 [DOI] [PubMed] [Google Scholar]
- 110. Bekeredjian-Ding I, Schäfer M, Hartmann E, Pries R, Parcina M, Schneider P, et al. Tumour-Derived Prostaglandin E 2 and Transforming Growth Factor-β Synergize to Inhibit Plasmacytoid Dendritic Cell-Derived Interferon-α. Immunology (2009) 128:439–50. doi: 10.1111/j.1365-2567.2009.03134.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Beckebaum S, Zhang X, Chen X, Yu Z, Frilling A, Dworacki G, et al. Increased Levels of Interleukin-10 in Serum From Patients With Hepatocellular Carcinoma Correlate With Profound Numerical Deficiencies and Immature Phenotype of Circulating Dendritic Cell Subsets. Clin Cancer Res (2004) 10:7260–9. doi: 10.1158/1078-0432.CCR-04-0872 [DOI] [PubMed] [Google Scholar]
- 112. Zong J, Keskinov AA, Shurin GV, Shurin MR. Tumor-Derived Factors Modulating Dendritic Cell Function. Cancer Immunol Immunother (2016) 65:821–33. doi: 10.1007/s00262-016-1820-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Sisirak V, Vey N, Goutagny N, Renaudineau S, Malfroy M, Thys S, et al. Breast Cancer-Derived Transforming Growth Factor-β and Tumor Necrosis Factor-α Compromise Interferon-α Production by Tumor-Associated Plasmacytoid Dendritic Cells. Int J Cancer (2013) 133:771–8. doi: 10.1002/ijc.28072 [DOI] [PubMed] [Google Scholar]
- 114. Dumitriu IE, Dunbar DR, Howie SE, Sethi T, Gregory CD. Human Dendritic Cells Produce TGF-β1 Under the Influence of Lung Carcinoma Cells and Prime the Differentiation of CD4 + CD25 + Foxp3 + Regulatory T Cells. J Immunol (2009) 182:2795–807. doi: 10.4049/jimmunol.0712671 [DOI] [PubMed] [Google Scholar]
- 115. Song S, Yuan P, Wu H, Chen J, Fu J, Li P, et al. Dendritic Cells With an Increased PD-L1 by TGF-β Induce T Cell Anergy for the Cytotoxicity of Hepatocellular Carcinoma Cells. Int Immunopharmacol (2014) 20:117–23. doi: 10.1016/j.intimp.2014.02.027 [DOI] [PubMed] [Google Scholar]
- 116. Imai K, Minamiya Y, Koyota S, Ito M, Saito H, Sato Y, et al. Inhibition of Dendritic Cell Migration by Transforming Growth Factor-1 Increases Tumor-Draining Lymph Node Metastasis. J Exp Clin Cancer Res (2012) 31:1–9. doi: 10.1186/1756-9966-31-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Della Bella S, Gennaro M, Vaccari M, Ferraris C, Nicola S, Riva A, et al. Altered Maturation of Peripheral Blood Dendritic Cells in Patients With Breast Cancer. Br J Cancer (2003) 89:1463–72. doi: 10.1038/sj.bjc.6601243 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Orsini E, Guarini A, Chiaretti S, Mauro FR, Foa R. The Circulating Dendritic Cell Compartment in Patients With Chronic Lymphocytic Leukemia is Severely Defective and Unable to Stimulate an Effective T-Cell Response. Cancer Res (2003) 63:4497–506. [PubMed] [Google Scholar]
- 119. Ormandy LA, Färber A, Cantz T, Petrykowska S, Wedemeyer H, Hörning M, et al. Direct Ex Vivo Analysis of Dendritic Cells in Patients With Hepatocellular Carcinoma. World J Gastroenterol (2006) 12:3275–82. doi: 10.3748/wjg.v12.i20.3275 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Clavijo-Salomon MA, Ramos RN, Crippa A, Pizzo CR, Bergami-Santos PC, Barbuto JAM. Monocyte-Derived Dendritic Cells Reflect the Immune Functional Status of a Chromophobe Renal Cell Carcinoma Patient: Could it be a General Phenomenon? Cancer Immunol Immunother (2015) 64:161–71. doi: 10.1007/s00262-014-1625-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Sakakura K, Chikamatsu K, Takahashi K, Whiteside TL, Furuya N. Maturation of Circulating Dendritic Cells and Imbalance of T-Cell Subsets in Patients With Squamous Cell Carcinoma of the Head and Neck. Cancer Immunol Immunother (2006) 55:151–9. doi: 10.1007/s00262-005-0697-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Aalamian M, Pirtskhalaishvili G, Nunez A, Esche C, Shurin GV, Huland E, et al. Human Prostate Cancer Regulates Generation and Maturation of Monocyte-Derived Dendritic Cells. Prostate (2001) 46:68–75. doi: [DOI] [PubMed] [Google Scholar]
- 123. Binnewies M, Mujal AM, Pollack JL, Combes AJ, Hardison EA, Barry KC, et al. Unleashing Type-2 Dendritic Cells to Drive Protective Antitumor CD4+ T Cell Immunity. Cell (2019) 177:556–71.e16. doi: 10.1016/j.cell.2019.02.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Cui G, Goll R, Olsen T, Steigen SE, Husebekk A, Vonen B, et al. Reduced Expression of Microenvironmental Th1 Cytokines Accompanies Adenomas-Carcinomas Sequence of Colorectum. Cancer Immunol Immunother (2007) 56:985–95. doi: 10.1007/s00262-006-0259-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125. Perrot I, Blanchard D, Freymond N, Isaac S, Guibert B, Pachéco Y, et al. Dendritic Cells Infiltrating Human Non-Small Cell Lung Cancer Are Blocked at Immature Stage. J Immunol (2007) 178:2763–9. doi: 10.4049/jimmunol.178.5.2763 [DOI] [PubMed] [Google Scholar]
- 126. Toniolo PA, Liu S, Yeh JE, Ye DQ, Barbuto JAM, Frank DA. Deregulation of SOCS5 Suppresses Dendritic Cell Function in Chronic Lymphocytic Leukemia. Oncotarget (2016) 7:46301–14. doi: 10.18632/oncotarget.10093 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Brown S, Hutchinson CV, Aspinall-O’Dea M, Whetton AD, Johnson SM, Rees-Unwin K, et al. Monocyte-Derived Dendritic Cells From Chronic Myeloid Leukaemia Have Abnormal Maturation and Cytoskeletal Function That is Associated With Defective Localisation and Signalling by Normal ABL1 Protein. Eur J Haematol (2014) 93:96–102. doi: 10.1111/ejh.12306 [DOI] [PubMed] [Google Scholar]
- 128. Lopes AMM, Michelin MA, Murta EFC. Monocyte-Derived Dendritic Cells From Patients With Cervical Intraepithelial Lesions. Oncol Lett (2017) 13:1456–62. doi: 10.3892/ol.2017.5595 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Shurin GV, Ma Y, Shurin MR. Immunosuppressive Mechanisms of Regulatory Dendritic Cells in Cancer. Cancer Microenviron (2013) 6:159–67. doi: 10.1007/s12307-013-0133-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Hwu P, Du MX, Lapointe R, Do M, Taylor MW, Young HA. Indoleamine 2,3-Dioxygenase Production by Human Dendritic Cells Results in the Inhibition of T Cell Proliferation. J Immunol (2000) 164:3596–9. doi: 10.4049/jimmunol.164.7.3596 [DOI] [PubMed] [Google Scholar]
- 131. Jonuleit H, Schmitt E, Schuler G, Knop J, Enk AH. Induction of Interleukin 10–Producing, Nonproliferating Cd4+ T Cells With Regulatory Properties by Repetitive Stimulation With Allogeneic Immature Human Dendritic Cells. J Exp Med (2000) 192:1213–22. doi: 10.1084/jem.192.9.1213 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Kubsch S, Graulich E, Knop J, Steinbrink K. Suppressor Activity of Anergic T Cells Induced by IL-10-Treated Human Dendritic Cells: Association With IL-2- and CTLA-4-Dependent G1 Arrest of the Cell Cycle Regulated by p27Kip1. Eur J Immunol (2003) 33:1988–97. doi: 10.1002/eji.200323600 [DOI] [PubMed] [Google Scholar]
- 133. Kuang D-M, Zhao Q, Xu J, Yun J-P, Wu C, Zheng L. Tumor-Educated Tolerogenic Dendritic Cells Induce Cd3ϵ Down-Regulation and Apoptosis of T Cells Through Oxygen-Dependent Pathways. J Immunol (2008) 181:3089–98. doi: 10.4049/jimmunol.181.5.3089 [DOI] [PubMed] [Google Scholar]
- 134. Norian LA, Rodriguez PC, O’Mara LA, Zabaleta J, Ochoa AC, Cella M, et al. Tumor-Infiltrating Regulatory Dendritic Cells Inhibit CD8+ T Cell Function via L-Arginine Metabolism. Cancer Res (2009) 69:3086–94. doi: 10.1158/0008-5472.CAN-08-2826 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135. Bracho-Sanchez E, Hassanzadeh A, Brusko MA, Wallet MA, Keselowsky BG. Dendritic Cells Treated With Exogenous Indoleamine 2,3-Dioxygenase Maintain an Immature Phenotype and Suppress Antigen-Specific T Cell Proliferation. J Immunol Regener Med (2019) 5:100015. doi: 10.1016/j.regen.2019.100015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Ramos RN, Chin LS, dos Santos APSA, Bergami-Santos PC, Laginha F, Barbuto JAM. Monocyte-Derived Dendritic Cells From Breast Cancer Patients Are Biased to Induce CD4+CD25+Foxp3+ Regulatory T Cells. J Leukoc Biol (2012) 92:673–82. doi: 10.1189/jlb.0112048 [DOI] [PubMed] [Google Scholar]
- 137. Ghiringhelli F, Puig PE, Roux S, Parcellier A, Schmitt E, Solary E, et al. Tumor Cells Convert Immature Myeloid Dendritic Cells Into TGF-β-Secreting Cells Inducing CD4 +CD25 + Regulatory T Cell Proliferation. J Exp Med (2005) 202:919–29. doi: 10.1084/jem.20050463 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138. Zhong M, Zhong C, Cui W, Wang G, Zheng G, Li L, et al. Induction of Tolerogenic Dendritic Cells by Activated TGF-β/Akt/Smad2 Signaling in RIG-I-Deficient Stemness-High Human Liver Cancer Cells. BMC Cancer (2019) 19:439. doi: 10.1186/s12885-019-5670-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Demoulin S, Herfs M, Delvenne P, Hubert P. Tumor Microenvironment Converts Plasmacytoid Dendritic Cells Into Immunosuppressive/Tolerogenic Cells: Insight Into the Molecular Mechanisms. J Leukoc Biol (2013) 93:343–52. doi: 10.1189/jlb.0812397 [DOI] [PubMed] [Google Scholar]
- 140. McCarter MD, Baumgartner J, Escobar GA, Richter D, Lewis K, Robinson W, et al. Immunosuppressive Dendritic and Regulatory T Cells Are Upregulated in Melanoma Patients. Ann Surg Oncol (2007) 14:2854–60. doi: 10.1245/s10434-007-9488-3 [DOI] [PubMed] [Google Scholar]
- 141. Harimoto H, Shimizu M, Nakagawa Y, Nakatsuka K, Wakabayashi A, Sakamoto C, et al. Inactivation of Tumor-Specific CD8+CTLs by Tumor-Infiltrating Tolerogenic Dendritic Cells. Immunol Cell Biol (2013) 91:545–55. doi: 10.1038/icb.2013.38 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142. Conrad C, Gregorio J, Wang YH, Ito T, Meller S, Hanabuchi S, et al. Plasmacytoid Dendritic Cells Promote Immunosuppression in Ovarian Cancer via ICOS Costimulation of Foxp3+ T-Regulatory Cells. Cancer Res (2012) 72:5240–9. doi: 10.1158/0008-5472.CAN-12-2271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143. Scarlett UK, Rutkowski MR, Rauwerdink AM, Fields J, Escovar-Fadul X, Baird J, et al. Ovarian Cancer Progression is Controlled by Phenotypic Changes in Dendritic Cells. J Exp Med (2012) 209:495–506. doi: 10.1084/jem.20111413 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144. Papaspyridonos M, Matei I, Huang Y, do Rosario Andre M, Brazier-Mitouart H, Waite JC, et al. Id1 Suppresses Anti-Tumour Immune Responses and Promotes Tumour Progression by Impairing Myeloid Cell Maturation. Nat Commun (2015) 6:6840. doi: 10.1038/ncomms7840 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145. Mastelic-Gavillet B, Sarivalasis A, Lozano LE, Wyss T, Inoges S, de Vries IJM, et al. Quantitative and Qualitative Impairments in Dendritic Cell Subsets of Patients With Ovarian or Prostate Cancer. Eur J Cancer (2020) 135:173–82. doi: 10.1016/j.ejca.2020.04.036 [DOI] [PubMed] [Google Scholar]
- 146. Yamamoto T, Yanagimoto H, Satoi S, Toyokawa H, Yamao J, Kim S, et al. Circulating Myeloid Dendritic Cells as Prognostic Factors in Patients With Pancreatic Cancer Who Have Undergone Surgical Resection. J Surg Res (2012) 173:299–308. doi: 10.1016/j.jss.2010.09.027 [DOI] [PubMed] [Google Scholar]
- 147. Lin A, Schildknecht A, Nguyen LT, Ohashi PS. Dendritic Cells Integrate Signals From the Tumor Microenvironment to Modulate Immunity and Tumor Growth. Immunol Lett (2010) 127:77–84. doi: 10.1016/j.imlet.2009.09.003 [DOI] [PubMed] [Google Scholar]
- 148. Fridman WH, Galon J, Pagès F, Tartour E, Sautès-Fridman C, Kroemer G. Prognostic and Predictive Impact of Intra- and Peritumoral Immune Infiltrates. Cancer Res (2011) 71:5601–5. doi: 10.1158/0008-5472.CAN-11-1316 [DOI] [PubMed] [Google Scholar]
- 149. Ambe K, Mori M. Enjoji M. S-100 Protein-Positive Dendritic Cells in Colorectal Adenocarcinomas. Distribution and Relation to the Clinical Prognosis. Cancer (1989) 63:496–503. doi: [DOI] [PubMed] [Google Scholar]
- 150. Nakayama Y, Inoue Y, Minagawa N, Katsuki T, Nagashima N, Onitsuka K, et al. Relationships Between S-100 Protein-Positive Cells and Clinicopathological Factors in Patients With Colorectal Cancer. Anticancer Res (2003) 23:4423–6. [PubMed] [Google Scholar]
- 151. Dadabayev AR, Sandel MH, Menon AG, Morreau H, Melief CJM, Offringa R, et al. Dendritic Cells in Colorectal Cancer Correlate With Other Tumor-Infiltrating Immune Cells. Cancer Immunol Immunother (2004) 53:978–86. doi: 10.1007/s00262-004-0548-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152. Nagorsen D, Voigt S, Berg E, Stein H, Thiel E, Loddenkemper C. Tumor-Infiltrating Macrophages and Dendritic Cells in Human Colorectal Cancer: Relation to Local Regulatory T Cells, Systemic T-Cell Response Against Tumor-Associated Antigens and Survival. J Transl Med (2007) 5:62. doi: 10.1186/1479-5876-5-62 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153. Kusume A, Sasahira T, Luo Y, Isobe M, Nakagawa N, Tatsumoto N, et al. Suppression of Dendritic Cells by HMGB1 is Associated With Lymph Node Metastasis of Human Colon Cancer. Pathobiology (2009) 76:155–62. doi: 10.1159/000218331 [DOI] [PubMed] [Google Scholar]
- 154. Gai X-D, Li C, Song Y, Lei Y-M, Yang B-X. In Situ Analysis of FOXP3+ Regulatory T Cells and Myeloid Dendritic Cells in Human Colorectal Cancer Tissue and Tumor-Draining Lymph Node. BioMed Rep (2013) 1:207–12. doi: 10.3892/br.2012.35 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155. Gai XD, Song Y, Li C, Lei YM, Yang B. Potential Role of Plasmacytoid Dendritic Cells for FOXP3+ Regulatory T Cell Development in Human Colorectal Cancer and Tumor Draining Lymph Node. Pathol Res Pract (2013) 209:774–8. doi: 10.1016/j.prp.2013.08.011 [DOI] [PubMed] [Google Scholar]
- 156. Kießler M, Plesca I, Sommer U, Wehner R, Wilczkowski F, Müller L, et al. Tumor-Infiltrating Plasmacytoid Dendritic Cells Are Associated With Survival in Human Colon Cancer. J Immunother Cancer (2021) 9:1813. doi: 10.1136/jitc-2020-001813 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Wu J, Cheng H, Wang H, Zang G, Qi L, Lv X, et al. Correlation Between Immune Lymphoid Cells and Plasmacytoid Dendritic Cells in Human Colon Cancer. Front Immunol (2021) 12:601611. doi: 10.3389/fimmu.2021.601611 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158. Schwaab T, Weiss JE, Schned AR, Barth J. Dendritic Cell Infiltration in Colon Cancer. J Immunother (2001) 24:130–7. doi: 10.1097/00002371-200103000-00007 [DOI] [PubMed] [Google Scholar]
- 159. Suzuki A, Masuda A, Nagata H, Kameoka S, Kikawada Y, Yamakawa M, et al. Mature Dendritic Cells Make Clusters With T Cells in the Invasive Margin of Colorectal Carcinoma. J Pathol (2002) 196:37–43. doi: 10.1002/path.1018 [DOI] [PubMed] [Google Scholar]
- 160. Gulubova M, Manolova I, Cirovski G, Sivrev D. Recruitment of Dendritic Cells in Human Liver With Metastases. Clin Exp Metastasis (2008) 25:777–85. doi: 10.1007/s10585-008-9191-1 [DOI] [PubMed] [Google Scholar]
- 161. Cui G, Yuan A, Goll R, Olsen T, Husebekk A, Vonen B, et al. Distinct Changes of Dendritic Cell Number and IL-12 mRNA Level in Adjacent Mucosa Throughout the Colorectal Adenoma-Carcinoma Sequence. Cancer Immunol Immunother (2007) 56:1993–2001. doi: 10.1007/s00262-007-0345-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. Yuan A, Steigen SE, Goll R, Vonen B, Husbekk A, Cui G, et al. Dendritic Cell Infiltration Pattern Along the Colorectal Adenoma-Carcinoma Sequence. APMIS (2008) 116:445–56. doi: 10.1111/j.1600-0463.2008.00879.x [DOI] [PubMed] [Google Scholar]
- 163. Bauer K, Michel S, Reuschenbach M, Nelius N, Von Knebel Doeberitz M, Kloor M. Dendritic Cell and Macrophage Infiltration in Microsatellite-Unstable and Microsatellite-Stable Colorectal Cancer. Familial Cancer (Fam Cancer) (2011) 10:557–65. doi: 10.1007/s10689-011-9449-7 [DOI] [PubMed] [Google Scholar]
- 164. Banerjea A, Ahmed S, Hands RE, Huang F, Han X, Shaw PM, et al. Colorectal Cancers With Microsatellite Instability Display mRNA Expression Signatures Characteristic of Increased Immunogenicity. Mol Cancer (2004) 3:1–11. doi: 10.1186/1476-4598-3-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165. Miyagawa S, Soeda J, Takagi S, Miwa S, Ichikawa E, Noike T. Prognostic Significance of Mature Dendritic Cells and Factors Associated With Their Accumulation in Metastatic Liver Tumors From Colorectal Cancer. Hum Pathol (2004) 35:1392–6. doi: 10.1016/j.humpath.2004.07.018 [DOI] [PubMed] [Google Scholar]
- 166. Inoue Y, Nakayama Y, Minagawa N, Katsuki T, Nagashima N, Matsumoto K, et al. Relationship Between Interleukin-12-Expressing Cells and Antigen-Presenting Cells in Patients With Colorectal Cancer. Anticancer Res (2005) 25:3541–6. [PubMed] [Google Scholar]
- 167. Gulubova M, Manolova I, Ananiev J, Kjurkchiev D, Julianov A, Altunkova I. Relationship of TGF-β1 and Smad7 Expression With Decreased Dendritic Cell Infiltration in Liver Gastrointestinal Cancer Metastasis. Apmis (2013) 121:967–75. doi: 10.1111/apm.12096 [DOI] [PubMed] [Google Scholar]
- 168. Kocián P, Šedivcová M, Drgáč J, Černá K, Hoch J, Kodet R, et al. Tumor-Infiltrating Lymphocytes and Dendritic Cells in Human Colorectal Cancer: Their Relationship to KRAS Mutational Status and Disease Recurrence. Hum Immunol (2011) 72:1022–8. doi: 10.1016/j.humimm.2011.07.312 [DOI] [PubMed] [Google Scholar]
- 169. Gulubova MV, Ananiev JR, Vlaykova TI, Yovchev Y, Tsoneva V, Manolova IM. Role of Dendritic Cells in Progression and Clinical Outcome of Colon Cancer. Int J Colorectal Dis (2012) 27:159–69. doi: 10.1007/s00384-011-1334-1 [DOI] [PubMed] [Google Scholar]
- 170. Li M, Wang H, Li W, Peng Y, Xu F, Shang J, et al. Identification and Validation of an Immune Prognostic Signature in Colorectal Cancer. Int Immunopharmacol (2020) 88:106868. doi: 10.1016/j.intimp.2020.106868 [DOI] [PubMed] [Google Scholar]
- 171. Li E, Yang X, Du Y, Wang G, Chan DW, Wu D, et al. CXCL8 Associated Dendritic Cell Activation Marker Expression and Recruitment as Indicators of Favorable Outcomes in Colorectal Cancer. Front Immunol (2021) 12:667177. doi: 10.3389/fimmu.2021.667177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. Sandel MH, Dadabayev AR, Menon AG, Morreau H, Melief CJM, Offringa R, et al. Prognostic Value of Tumor-Infiltrating Dendritic Cells in Colorectal Cancer: Role of Maturation Status and Intratumoral Localization. Clin Cancer Res (2005) 11:2576–82. doi: 10.1158/1078-0432.CCR-04-1448 [DOI] [PubMed] [Google Scholar]
- 173. Pryczynicz A, Cepowicz D, Zaręba K, Gryko M, Hołody-Zaręba J, Kędra B, et al. Dysfunctions in the Mature Dendritic Cells Are Associated With the Presence of Metastases of Colorectal Cancer in the Surrounding Lymph Nodes. Gastroenterol Res Pract (2016) 2016:1–5. doi: 10.1155/2016/2405437 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Miller TJ, Anyaegbu CC, Lee-Pullen TF, Spalding LJ, Platell CF, McCoy MJ. PD-L1+ Dendritic Cells in the Tumor Microenvironment Correlate With Good Prognosis and CD8+ T Cell Infiltration in Colon Cancer. Cancer Sci (2021) 112:1173–83. doi: 10.1111/cas.14781 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175. Huang A, Gilmour JW, Imami N, Amjadi P, Henderson DC, Allen-Mersh TG. Increased Serum Transforming Growth Factor-β1 in Human Colorectal Cancer Correlates With Reduced Circulating Dendritic Cells and Increased Colonic Langerhans Cell Infiltration. Clin Exp Immunol (2003) 134:270–8. doi: 10.1046/j.1365-2249.2003.02295.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176. Della Porta M, Danova M, Rigolin GM, Brugnatelli S, Rovati B, Tronconi C, et al. Dendritic Cells and Vascular Endothelial Growth Factor in Colorectal Cancer: Correlations With Clinicobiological Findings. Oncology (2005) 68:276–84. doi: 10.1159/000086784 [DOI] [PubMed] [Google Scholar]
- 177. Bellik L, Gerlini G, Parenti A, Ledda F, Pimpinelli N, Neri B, et al. Role of Conventional Treatments on Circulating and Monocyte-Derived Dendritic Cells in Colorectal Cancer. Clin Immunol (2006) 121:74–80. doi: 10.1016/j.clim.2006.06.011 [DOI] [PubMed] [Google Scholar]
- 178. Orsini G, Legitimo A, Failli A, Ferrari P, Nicolini A, Spisni R, et al. Quantification of Blood Dendritic Cells in Colorectal Cancer Patients During the Course of Disease. Pathol Oncol Res (2014) 20:267–76. doi: 10.1007/s12253-013-9691-4 [DOI] [PubMed] [Google Scholar]
- 179. Osada T, Chong G, Tansik R, Hong T, Spector N, Kumar R, et al. The Effect of Anti-VEGF Therapy on Immature Myeloid Cell and Dendritic Cells in Cancer Patients. Cancer Immunol Immunother (2008) 57:1115–24. doi: 10.1007/s00262-007-0441-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180. Orsini G, Legitimo A, Failli A, Ferrari P, Nicolini A, Spisni R, et al. Defective Generation and Maturation of Dendritic Cells From Monocytes in Colorectal Cancer Patients During the Course of Disease. Int J Mol Sci (2013) 14:22022–41. doi: 10.3390/ijms141122022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181. Maciejewski R, Radej S, Furmaga J, Chrościcki A, Rudzki S, Roliński J, et al. Evaluation of Immature Monocyte-Derived Dendritic Cels Generated From Patients With Colorectal Cancer. Pol Prz Chir Polish J Surg (2013) 85:714–20. doi: 10.2478/pjs-2013-0109 [DOI] [PubMed] [Google Scholar]
- 182. Hsu YL, Chen YJ, Chang WA, Jian SF, Fan HL, Wang JY, et al. Interaction Between Tumor-Associated Dendritic Cells and Colon Cancer Cells Contributes to Tumor Progression via CXCL1. Int J Mol Sci (2018) 19:2427. doi: 10.3390/ijms19082427 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183. Xia C, Braunstein Z, Toomey AC, Zhong J, Rao X. S100 Proteins as an Important Regulator of Macrophage Inflammation. Front Immunol (2018) 8:1908. doi: 10.3389/fimmu.2017.01908 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184. Michielsen AJ, Hogan AE, Marry J, Tosetto M, Cox F, Hyland JM, et al. Tumour Tissue Microenvironment Can Inhibit Dendritic Cell Maturation in Colorectal Cancer. PLoS One (2011) 6:e27944. doi: 10.1371/journal.pone.0027944 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Michielsen AJ, O’Sullivan JN, Ryan EJ. Tumor Conditioned Media From Colorectal Cancer Patients Inhibits Dendritic Cell Maturation. Oncoimmunology (2012) 1:751–3. doi: 10.4161/onci.19570 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186. Michielsen AJ, Noonan S, Martin P, Tosetto M, Marry J, Biniecka M, et al. Inhibition of Dendritic Cell Maturation by the Tumor Microenvironment Correlates With the Survival of Colorectal Cancer Patients Following Bevacizumab Treatment. Mol Cancer Ther (2012) 11:1829–37. doi: 10.1158/1535-7163.MCT-12-0162 [DOI] [PubMed] [Google Scholar]
- 187. Morrissey ME, Byrne R, Nulty C, McCabe NH, Lynam-Lennon N, Butler CT, et al. The Tumour Microenvironment of the Upper and Lower Gastrointestinal Tract Differentially Influences Dendritic Cell Maturation. BMC Cancer (2020) 20:1–13. doi: 10.1186/s12885-020-07012-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188. Topalian SL, Drake CG, Pardoll DM. Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy. Cancer Cell (2015) 27:450–61. doi: 10.1016/j.ccell.2015.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189. Van Den Bulk J, Verdegaal EME, Ruano D, Ijsselsteijn ME, Visser M, van der Breggen R, et al. Neoantigen-Specific Immunity in Low Mutation Burden Colorectal Cancers of the Consensus Molecular Subtype 4. Genome Med (2019) 11:87. doi: 10.1186/s13073-019-0697-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190. Yost KE, Satpathy AT, Wells DK, Qi Y, Wang C, Kageyama R, et al. Clonal Replacement of Tumor-Specific T Cells Following PD-1 Blockade. Nat Med (2019) 25:1251–9. doi: 10.1038/s41591-019-0522-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191. Sánchez-Paulete AR, Cueto FJ, Martínez-López M, Labiano S, Morales-Kastresana A, Rodríguez-Ruiz ME, et al. Cancer Immunotherapy With Immunomodulatory Anti-CD137 and Anti–PD-1 Monoclonal Antibodies Requires BATF3-Dependent Dendritic Cells. Cancer Discovery (2016) 6:71–9. doi: 10.1158/2159-8290.CD-15-0510 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192. Garris CS, Arlauckas SP, Kohler RH, Trefny MP, Garren S, Piot C, et al. Successful Anti-PD-1 Cancer Immunotherapy Requires T Cell-Dendritic Cell Crosstalk Involving the Cytokines IFN-γ and IL-12. Immunity (2018) 49:1148–61.e7. doi: 10.1016/j.immuni.2018.09.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193. Spranger S, Dai D, Horton B, Gajewski TF. Tumor-Residing Batf3 Dendritic Cells Are Required for Effector T Cell Trafficking and Adoptive T Cell Therapy. Cancer Cell (2017) 31:711–23.e4. doi: 10.1016/J.CCELL.2017.04.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194. Diao J, Gu H, Tang M, Zhao J, Cattral MS. Tumor Dendritic Cells (DCs) Derived From Precursors of Conventional DCs Are Dispensable for Intratumor CTL Responses. J Immunol (2018) 201:1306–14. doi: 10.4049/jimmunol.1701514 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195. Chow MT, Ozga AJ, Servis RL, Frederick DT, Lo JA, Fisher DE, et al. Intratumoral Activity of the CXCR3 Chemokine System Is Required for the Efficacy of Anti-PD-1 Therapy. Immunity (2019) 50:1498–512.e5. doi: 10.1016/j.immuni.2019.04.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Salmon H, Idoyaga J, Rahman A, Leboeuf M, Remark R, Jordan S, et al. Expansion and Activation of CD103 + Dendritic Cell Progenitors at the Tumor Site Enhances Tumor Responses to Therapeutic PD-L1 and BRAF Inhibition. Immunity (2016) 44:924–38. doi: 10.1016/j.immuni.2016.03.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197. Huang T-X, Tan X-Y, Huang H-S, Li Y-T, Liu B-L, Liu K-S, et al. Targeting Cancer-Associated Fibroblast-Secreted WNT2 Restores Dendritic Cell-Mediated Antitumour Immunity. Gut (2021) 70:1–12. doi: 10.1136/gutjnl-2020-322924 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198. Kather JN, Halama N. Harnessing the Innate Immune System and Local Immunological Microenvironment to Treat Colorectal Cancer. Br J Cancer (2019) 120:871–82. doi: 10.1038/s41416-019-0441-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199. Murgaski A, Bardet PMR, Arnouk SM, Clappaert EJ, Laoui D. Unleashing Tumour-Dendritic Cells to Fight Cancer by Tackling Their Three A’s: Abundance, Activation and Antigen-Delivery. Cancers (Basel) (2019) 11:670. doi: 10.3390/cancers11050670 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200. Lee SC, Srivastava RM, López-Albaitero A, Ferrone S, Ferris RL. Natural Killer (NK):dendritic Cell (DC) Cross Talk Induced by Therapeutic Monoclonal Antibody Triggers Tumor Antigen-Specific T Cell Immunity. Immunol Res (2011) 50:248–54. doi: 10.1007/s12026-011-8231-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201. Barry KC, Hsu J, Broz ML, Cueto FJ, Binnewies M, Combes AJ, et al. A Natural Killer–Dendritic Cell Axis Defines Checkpoint Therapy–Responsive Tumor Microenvironments. Nat Med (2018) 24:1178–91. doi: 10.1038/s41591-018-0085-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202. Pampena MB, Levy EM. Natural Killer Cells as Helper Cells in Dendritic Cell Cancer Vaccines. Front Immunol (2015) 6:13. doi: 10.3389/fimmu.2015.00013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203. Bouwer AL, Saunderson SC, Caldwell FJ, Damani TT, Pelham SJ, Dunn AC, et al. NK Cells Are Required for Dendritic Cell–Based Immunotherapy at the Time of Tumor Challenge. J Immunol (2014) 192:2514–21. doi: 10.4049/jimmunol.1202797 [DOI] [PubMed] [Google Scholar]
- 204. Karimi K, Boudreau JE, Fraser K, Liu H, Delanghe J, Gauldie J, et al. Enhanced Antitumor Immunity Elicited by Dendritic Cell Vaccines is a Result of Their Ability to Engage Both CTL and Ifnγ-Producing NK Cells. Mol Ther (2008) 16:411–8. doi: 10.1038/sj.mt.6300347 [DOI] [PubMed] [Google Scholar]
- 205. Saxena M, Bhardwaj N. Re-Emergence of Dendritic Cell Vaccines for Cancer Treatment. Trends Cancer (2018) 4:119–37. doi: 10.1016/j.trecan.2017.12.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206. Lu L, Yan H, Shyam-Sundar V, Janowitz T. Cross-Sectional and Longitudinal Analysis of Cancer Vaccination Trials Registered on the US Clinical Trials Database Demonstrates Paucity of Immunological Trial Endpoints and Decline in Registration Since 2008. Drug Des Devel Ther (2014) 8:1539–53. doi: 10.2147/DDDT.S65963 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207. Constantino J, Gomes C, Falcão A, Cruz MT, Neves BM. Antitumor Dendritic Cell–Based Vaccines: Lessons From 20 Years of Clinical Trials and Future Perspectives. Transl Res (2016) 168:74–95. doi: 10.1016/j.trsl.2015.07.008 [DOI] [PubMed] [Google Scholar]
- 208. Lesterhuis WJ, de Vries IJM, Schuurhuis DH, Boullart ACI, Jacobs JFM, de Boer AJ, et al. Vaccination of Colorectal Cancer Patients With CEA-Loaded Dendritic Cells: Antigen-Specific T Cell Responses in DTH Skin Tests. Ann Oncol (2006) 17:974–80. doi: 10.1093/annonc/mdl072 [DOI] [PubMed] [Google Scholar]
- 209. Ueda Y, Itoh T, Nukaya I, Kawashima I, Okugawa K, Yano Y, et al. Dendritic Cell-Based Immunotherapy of Cancer With Carcinoembryonic Antigen-Derived, HLA-A24-Restricted CTL Epitope: Clinical Outcomes of 18 Patients With Metastatic Gastrointestinal or Lung Adenocarcinomas. Int J Oncol (2004) 24:909–17. doi: 10.3892/ijo.24.4.909 [DOI] [PubMed] [Google Scholar]
- 210. Kavanagh B, Ko A, Venook A, Margolin K, Zeh H, Lotze M, et al. Vaccination of Metastatic Colorectal Cancer Patients With Matured Dendritic Cells Loaded With Multiple Major Histocompatibility Complex Class I Peptides. J Immunother (2007) 30:762–72. doi: 10.1097/CJI.0b013e318133451c [DOI] [PubMed] [Google Scholar]
- 211. Barth RJ, Fisher DA, Wallace PK, Channon JY, Noelle RJ, Gui J, et al. A Randomized Trial of Ex Vivo CD40L Activation of a Dendritic Cell Vaccine in Colorectal Cancer Patients: Tumor-Specific Immune Responses Are Associated With Improved Survival. Clin Cancer Res (2010) 16:5548–56. doi: 10.1158/1078-0432.CCR-10-2138 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212. Liu Y, Zhang W, Zhang B, Yin X, Pang Y. DC Vaccine Therapy Combined Concurrently With Oral Capecitabine in Metastatic Colorectal Cancer Patients. Hepatogastroenterology (2013) 60:23–7. doi: 10.5754/12522 [DOI] [PubMed] [Google Scholar]
- 213. Caballero-Baños M, Benitez-Ribas D, Tabera J, Varea S, Vilana R, Bianchi L, et al. Phase II Randomised Trial of Autologous Tumour Lysate Dendritic Cell Plus Best Supportive Care Compared With Best Supportive Care in Pre-Treated Advanced Colorectal Cancer Patients. Eur J Cancer (2016) 64:167–74. doi: 10.1016/j.ejca.2016.06.008 [DOI] [PubMed] [Google Scholar]
- 214. Liu KJ, Chao TY, Chang JY, Cheng AL, Ch’Ang HJ, Kao WY, et al. A Phase I Clinical Study of Immunotherapy for Advanced Colorectal Cancers Using Carcinoembryonic Antigen-Pulsed Dendritic Cells Mixed With Tetanus Toxoid and Subsequent IL-2 Treatment John T Kung. J BioMed Sci (2016) 23:1–11. doi: 10.1186/s12929-016-0279-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215. Rodriguez J, Castañón E, Perez-Gracia JL, Rodriguez I, Viudez A, Alfaro C, et al. A Randomized Phase II Clinical Trial of Dendritic Cell Vaccination Following Complete Resection of Colon Cancer Liver Metastasis. J Immunother Cancer (2018) 6:1–7. doi: 10.1186/s40425-018-0405-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216. Snook AE, Baybutt TR, Xiang B, Abraham TS, Flickinger JC, Hyslop T, et al. Split Tolerance Permits Safe Ad5-GUCY2C-PADRE Vaccine-Induced T-Cell Responses in Colon Cancer Patients. J Immunother Cancer (2019) 7:1–12. doi: 10.1186/s40425-019-0576-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217. Kobie JJ, Wu RS, Kurt RA, Lou S, Adelman MK, Whitesell LJ, et al. Transforming Growth Factor β Inhibits the Antigen-Presenting Functions and Antitumor Activity of Dendritic Cell Vaccines. Cancer Res (2003) 63:1860–4. [PubMed] [Google Scholar]
- 218. Vasaturo A, Di Blasio S, Peeters DGA, de Koning CCH, de Vries JM, Figdor CG, et al. Clinical Implications of Co-Inhibitory Molecule Expression in the Tumor Microenvironment for DC Vaccination: A Game of Stop and Go. Front Immunol (2013) 4:417. doi: 10.3389/fimmu.2013.00417 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219. Bakdash G, Buschow SI, Gorris MAJ, Halilovic A, Hato SV, Sköld AE, et al. Expansion of a BDCA1 + CD14 + Myeloid Cell Population in Melanoma Patients May Attenuate the Efficacy of Dendritic Cell Vaccines. Cancer Res (2016) 76:4332–46. doi: 10.1158/0008-5472.CAN-15-1695 [DOI] [PubMed] [Google Scholar]
- 220. Saxena M, van der Burg SH, Melief CJM, Bhardwaj N. Therapeutic Cancer Vaccines. Nat Rev Cancer (2021) 21:360–78. doi: 10.1038/s41568-021-00346-0 [DOI] [PubMed] [Google Scholar]
- 221. Li H, Yu J, Wu Y, Shao B, Wei X. In Situ Antitumor Vaccination: Targeting the Tumor Microenvironment. J Cell Physiol (2020) 235:5490–500. doi: 10.1002/jcp.29551 [DOI] [PubMed] [Google Scholar]
- 222. Sheen MR, Fiering S. In Situ Vaccination: Harvesting Low Hanging Fruit on the Cancer Immunotherapy Tree. Wiley Interdiscip Rev Nanomed Nanobiotechnol (2019) 11:1–12. doi: 10.1002/wnan.1524 [DOI] [PubMed] [Google Scholar]
- 223. Tang T, Huang X, Zhang G, Hong Z, Bai X, Liang T. Advantages of Targeting the Tumor Immune Microenvironment Over Blocking Immune Checkpoint in Cancer Immunotherapy. Signal Transduct Target Ther (2021) 6:72. doi: 10.1038/s41392-020-00449-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224. Heckelsmiller K, Rall K, Beck S, Schlamp A, Seiderer J, Jahrsdörfer B, et al. Peritumoral CpG DNA Elicits a Coordinated Response of CD8 T Cells and Innate Effectors to Cure Established Tumors in a Murine Colon Carcinoma Model. J Immunol (2002) 169:3892–9. doi: 10.4049/jimmunol.169.7.3892 [DOI] [PubMed] [Google Scholar]
- 225. Braunstein MJ, Kucharczyk J, Adams S. Targeting Toll-Like Receptors for Cancer Therapy. Target Oncol (2018) 13:583–98. doi: 10.1007/s11523-018-0589-7 [DOI] [PubMed] [Google Scholar]
- 226. Kerr WG, Chisholm JD. The Next Generation of Immunotherapy for Cancer: Small Molecules Could Make Big Waves. J Immunol (2019) 202:11–9. doi: 10.4049/jimmunol.1800991 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227. Schmoll HJ, Wittig B, Arnold D, Riera-Knorrenschild J, Nitsche D, Kroening H, et al. Maintenance Treatment With the Immunomodulator MGN1703, a Toll-Like Receptor 9 (TLR9) Agonist, in Patients With Metastatic Colorectal Carcinoma and Disease Control After Chemotherapy: A Randomised, Double-Blind, Placebo-Controlled Trial. J Cancer Res Clin Oncol (2014) 140:1615–24. doi: 10.1007/s00432-014-1682-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228. Chon HJ, Kim H, Noh JH, Yang H, Lee WS, Kong SJ, et al. STING Signaling is a Potential Immunotherapeutic Target in Colorectal Cancer. J Cancer (2019) 10:4932–8. doi: 10.7150/jca.32806 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229. Kamal Y, Schmit SL, Frost HR, Amos CI. The Tumor Microenvironment of Colorectal Cancer Metastases: Opportunities in Cancer Immunotherapy. Immunotherapy (2020) 12:1083–100. doi: 10.2217/imt-2020-0026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230. Lee JY, Chaudhuri O. Modeling the Tumor Immune Microenvironment for Drug Discovery Using 3D Culture. APL Bioeng (2021) 5:10903. doi: 10.1063/5.0030693 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231. Yuki K, Cheng N, Nakano M, Kuo CJ. Organoid Models of Tumor Immunology. Trends Immunol (2020) 41:652–64. doi: 10.1016/j.it.2020.06.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232. Fiorini E, Veghini L, Corbo V. Modeling Cell Communication in Cancer With Organoids: Making the Complex Simple. Front Cell Dev Biol (2020) 8:166. doi: 10.3389/fcell.2020.00166 [DOI] [PMC free article] [PubMed] [Google Scholar]