| Literature DB >> 34691029 |
Beatriz Subtil1, Alessandra Cambi1, Daniele V F Tauriello1, I Jolanda M de Vries2.
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.Entities:
Keywords: cancer immunity; dendritic cell defects; immunosuppression; immunotherapy; metastatic colorectal cancer; patient-derived organoids; tumor microenvironment
Mesh:
Year: 2021 PMID: 34691029 PMCID: PMC8527179 DOI: 10.3389/fimmu.2021.724883
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Overview of Dendritic cell (dys)functions in cancer. Upon detection of tumor antigens and danger signals, dendritic cells (DCs) become activated, upregulate co-stimulatory surface molecules and secrete pro-inflammatory cytokines. Mature DCs can (cross)-present antigens, trigger tumor-specific T cell responses, and stimulate natural killer (NK) cell activity to unleash cytotoxic anti-tumor immunity (left). During tumor development and progression, the release of tumor-derived suppressive factors prevents DC progenitors from properly differentiating ①, and differentiated DCs from fulfilling their functions ②. Resulting immature, tolerogenic and/or dysfunctional DCs, characterized by the expression of TGF-β, IL-10, IDO-1, PGE2, and PD-L1, can inhibit T cell anti-tumor responses ③. Furthermore, they can differentiate into and favor the expansion of immunosuppressive populations such as myeloid-derived suppressor cells (MDSCs), BDCA1+CD14+ cells, and tumor-associated macrophages (TAMs). Overall, the impairment of DCs is a crucial step for tumor immune evasion, triggering a cascade of immunosuppression that hampers anti-tumor immunity and creates a propitious environment for tumor growth and metastasis initiation.
Overview of studies investigating tumor-infiltrating (TIDCs) and circulating dendritic cells (DCs) in colorectal cancer (CRC) patients.
| CRC (n) | Experimental setup | DC characterization | Key conclusions | Reference |
|---|---|---|---|---|
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| 121 | Tissue | S100 | ↑ S100+ DCs ↔ good prognosis, higher survival, often without metastasis and ↑ lymphocyte infiltration | (Ambe, Mori, & Enjoji, 1989) |
| 30 | Tissue | S100 | ↑ S100+ DCs ↔ good prognosis | (Nakayama et al., 2003) |
| 104 | Tissue | S100 and HLA-II | ↑ S100+ DCs ↔ ↑ T cell infiltration and disease-free survival | (Dadabayev et al., 2004) |
| 40 | Tissue | S100, CD11c, CD208, CD209, CD123, and CD1a | S100+ DCs ↔ Tregs | (Nagorsen et al., 2007) |
| 16 | Tissue | CD205 | ↓ CD205+ DCs and high HMGB1 expression by CRC ↔ lymph node metastasis | (Kusume et al., 2009) |
| 52 | Tissue | CD11c+ | ↓ CD11c+ myeloid DCs ↑ Tregs ↔ tumor invasion, advanced stage, lymph node metastasis and poor prognosis | (Gai, Li, Song, Lei, & Yang, 2013) |
| 63 | Tissue | CD123 | ↑ pDC/myeloid DC ratio and ↑ Tregs ↔ lymph node metastasis | (Gai, Song, Li, Lei, & Yang, 2013) |
| 149 | Tissue | BDCA-2+ (pDCs) | ↑ pDC ↔ TLS and prolonged survival | (Kießler et al., 2021) |
| 58 | Flow cytometry and RNA sequencing | BDCA-2+ (pDCs) | ↑ pDC ↓innate lymphoid cells ↔ advanced disease stage | (Wu et al., 2021) |
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| 57 | Tissue | CD83, HLA-DR, CD40, and CD86 | Density of mDCs: Normal mucosa > primary CRC > metastatic CRC | (Schwaab, Weiss, Schned, & Barth, 2001) |
| 17 | Tissue | CD83 and | CD83+ mDCs: present in the invasive margin and cluster with T cells | (Suzuki et al., 2002) |
| 60 | Tissue | CD1a, | CD83+ mDCs: present around metastases and in the sinusoidal lumen | (M. Gulubova, Manolova, Cirovski, & Sivrev, 2008) |
| 26 | Tissue | CD83 | Primary site and lymph nodes: ↓ CD83+ mDCs ↔ high COX2 and IL-6 | (Cui et al., 2007) |
| 23 | Tissue | CD1a, CD83, and CD208 | ↓ CD83+ CD208+ mDCs ↑ CD1a+ iDCs ↔ increasing COX2 expression | (Yuan et al., 2008) |
| 69 | Tissue | S100, CD208 | In MSI tumors in comparison with MSS: ↑ CD208+ mDCs and ↓ Tregs | (Bauer et al., 2011) |
| 133 | Tissue | Genes implicated in immune response | In MSI tumors in comparison with MSS: ↑ co-stimulatory molecules in DCs | (Banerjea et al., 2004) |
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| 70 | Tissue | CD83 | ↓ CD83+ mDCs ↔ poor prognosis | (Miyagawa et al., 2004) |
| 22 | Tissue | CD83 | ↓ CD83+ mDCs ↔ advanced disease and lymph node metastasis | (Inoeu et al., 2005) |
| 142 | Tissue | HLA-DR, CD1a, and CD83 | ↓ CD83+ mDCs ↔ shorter survival ↔ TGF-β expression by CRC | (Maya Gulubova et al., 2010) |
| 86 | Tissue | HLA-DR, CD1a, and CD83 | Metastasis in comparison to metastasis-free samples: ↓ CD83+ mDCs and ↑TGF-β | (Maya Gulubova et al., 2013) |
| 44 | Tissue | CD1a and DC-LAMP | ↓TILs ↑ CD1a+ iDCs/DC-LAMP+ mDCs ratio and KRAS mutation ↔ higher risk of disease recurrence | (Kocián et al., 2011) |
| 145 | Tissue | 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) |
| 556 | Gene expression | Several DC-related genes | ↑ mDCs ↑ T cells ↔ low risk group | (M. Li et al., 2020) |
| 473 | Gene expression | CD80, CD83, and CD86 | ↑ CD80+, CD83+, CD86+ mDCs ↔ CXCL8 expression by CRC | (E. Li et al., 2021) |
| 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) |
| 104 | Tissue | S100, CD1a, CD208, and HLA- II | ↑CD208+ mDCs in the stroma ↔ shorter overall survival | (Sandel et al., 2005) |
| 71 | Tissue | CD83 | ↑ mDCs ↔ tumor invasion and lymph node metastasis | (Pryczynicz et al., 2016) |
| 221 | Tissue | CD11c and PD-L1 | ↑ CD11c+ PD-L1+ DCs ↔ good survival and ↑ CD8+ T cell density | (Miller et al., 2021) |
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| 106 | Flow cytometry | HLA-DR and CD86 | ↓ Circulating DC ↔ ↑ TGF-β levels | (Huang et al., 2003) |
| 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) |
| 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) |
| 26 | Flow cytometry | CD33 and CD123 | ↓ CD123+ pDCs ↔ advanced stage | (Orsini et al., 2014) |
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| 31 | Flow cytometry, functional assays | CD11c, CD123 | ↑ immature myeloid cell progenitors | (Osada et al., 2008) |
| 23 | Flow cytometry, functional assays | CD40, CD80, and CD83 | Defective generation of mature and functional DC | (Orsini et al., 2013) |
| 16 | Flow cytometry, functional assays | CD83 CD1a HLA-DR CD86 FITC, CD80, CD209, and CD206 | Defective DC maturation | (Maciejewski et al., 2013) |
| 30 | Flow cytometry, functional assays | CD80, CD11c, HLA-ABC, HLA-DR, CD14, CD133, CD11b, CD209, and CD86 | Defective DC maturation | (Hsu et al., 2018) |
↔: correlation/association, ↑ higher infiltration/higher density/increase, ↓ lower infiltration/lower density/decrease. IHC, immunohistochemistry; mDCs, mature DCs; iDCs, immature DCs.