| Literature DB >> 36211808 |
Rebecca Adams1, Gabriel Osborn1, Bipashna Mukhia1, Roman Laddach1,2, Zena Willsmore1, Alicia Chenoweth1,3, Jenny L C Geh1,4, Alastair D MacKenzie Ross4, Ciaran Healy4, Linda Barber5, Sophia Tsoka2, Victoria Sanz-Moreno6, Katie E Lacy1, Sophia N Karagiannis1,3.
Abstract
The application of monoclonal antibodies (mAbs) for the treatment of melanoma has significantly improved the clinical management of this malignancy over the last decade. Currently approved mAbs for melanoma enhance T cell effector immune responses by blocking immune checkpoint molecules PD-L1/PD-1 and CTLA-4. However, more than half of patients do not benefit from treatment. Targeting the prominent myeloid compartment within the tumor microenvironment, and in particular the ever-abundant tumor-associated macrophages (TAMs), may be a promising strategy to complement existing therapies and enhance treatment success. TAMs are a highly diverse and plastic subset of cells whose pro-tumor properties can support melanoma growth, angiogenesis and invasion. Understanding of their diversity, plasticity and multifaceted roles in cancer forms the basis for new promising TAM-centered treatment strategies. There are multiple mechanisms by which macrophages can be targeted with antibodies in a therapeutic setting, including by depletion, inhibition of specific pro-tumor properties, differential polarization to pro-inflammatory states and enhancement of antitumor immune functions. Here, we discuss TAMs in melanoma, their interactions with checkpoint inhibitor antibodies and emerging mAbs targeting different aspects of TAM biology and their potential to be translated to the clinic.Entities:
Keywords: Fc receptors; checkpoint inhibitors; immunotherapy; macrophages; melanoma; monoclonal antibodies; polarization; tumor microenvironment
Mesh:
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Year: 2022 PMID: 36211808 PMCID: PMC9543025 DOI: 10.1080/2162402X.2022.2127284
Source DB: PubMed Journal: Oncoimmunology ISSN: 2162-4011 Impact factor: 7.723
Figure 1.Defining macrophage subsets in the melanoma tumor microenvironment includes (1) using the classical/alternatively activated spectrum model (far left); (2) using differentially expressed genes to define subsets from single cell data (top); (3) understanding how the TME can promote subsets with specific functions (right); and (4) understanding how macrophage origin can determine phenotype and function (bottom left).
Figure 2.TAMs can promote melanoma growth and progression by creating an immunosuppressive immune environment by recruiting and maintaining immunosuppressive cells, such as Tregs, M2-like TAMs and MDSCs and reducing effector cells activation; promoting angiogenesis directly by secreting VEGF and MIF and indirectly through TNF-α and IL-1 α promoting angiogenesis by melanoma cells; enabling invasion by secreting metalloproteinases; and enabling metastasis by promoting the secretion of factors which increase phenotype switching (TGF-β), increase motility (IL-8), and increase invasion (IL-6). Created with BioRender.com.
Fc receptors expressed by human monocytic cells, showing FcR structure, mouse orthologue, downstream signaling response, expression across different human immune cells and affinity to different immunoglobulin isotypes. Adapted from Bruhns et al.,[67,68] Hogarth et al.,[69] Bianchini et al.,[64] and Chenoweth et al.[70] Created with BioRender.com.
Figure 3.Current techniques to therapeutically target TAMs include (a) involvement of TAMs in current immune checkpoint inhibition; (b) reducing recruitment of macrophages to the TME, e.g. by blocking CCR2/CCL2 and CSF-1/CSFR1 pathways; (c) inhibiting pro-tumor functions of TAMS; (d) promoting antitumor functions of TAMS; (e) depleting specific pro-tumor subsets of TAMs; (f) repolarizing TAMs through the engagement of their FcRs, triggering downstream activation, increased secretion of pro-inflammatory cytokines and enhanced cancer cell death. Created with BioRender.com.
Examples of current and ongoing clinical trials targeting macrophages in melanoma.
| Drug Name | Type | Target | Cancer Type | Phase | Status | Study Design | Route of Drug | Reference |
|---|---|---|---|---|---|---|---|---|
| Imalumab | mAb | MIF | Solid tumors | 1 | Complete | Anti-MIF antibody monotherapy | Intravenous | NCT01765790 |
| PLX3397 | KIT inhibitor | CSF1R | Melanoma | 1/2 | Active | PLX3397 monotherapy | Oral | NCT02975700 |
| PLX3397 | KIT inhibitor | CSF1R | Mucosal and acral melanoma | 2 | Complete | PLX3397 monotherapy | Oral | NCT02071940 |
| LY3022855 | mAb | CSF1R | Melanoma | 1/2 | Active | LY3022855 + BRAFi + MEKi | Intravenous | NCT03101254 |
| APX005M | mAb (IgG1) | CD40 | Melanoma | 1/1b | Active | AP005M + Cabiralizumab + nivolumab | Intravenous | NCT03502330 |
| APX005M | mAb (IgG1) | CD40 | Melanoma | 1/2 | Active | APX005M + Pembrolizumab | Intratumoral | NCT02706353 |
| APX005M | mAb (IgG1) | CD40 | Melanoma | 2 | Active | APX005M + /- radiotherapy | Intravenous | NCT04337931 |
| SEA-CD40 | mAb (IgG1) | CD40 | Melanoma | 2 | Active | SEA-CD40 + pembrolizumab | Intravenous | NCT04993677 |
| CDX-1140 | mAb (IgG2) | CD40 | Melanoma | 1/2 | Active | Melanoma mutated neoantigen peptide vaccine + CD40 agonist + TLR3 agonist | Intratumoral subcutaneous/intradermal | NCT04364230 |
| PolyICLC | TLR3 agonist | TLR3 | Melanoma | 1/2 | Active | Peptide vaccine + tetanus vaccine ± PolyICLC ± resiquimod +/1 IFA | Intratumoral subcutaneous/intradermal | NCT02126579 |
| MGN1703 | TLR9 agonist | TLR9 | Melanoma | 1 | Active | MGN1703 + Ipilimumab | Subcutaneous and intratumoural | NCT02668770 |
| CMP-001 | TLR9 agonist | TLR9 | Melanoma | 2 | Active | CMP-001 + Nivolumab | Intratumoural subcutaneous/intradermal | NCT04698187 |
| CMP-001 | TLR9 agonist | TL9 | Melanoma | 2 | Active | CMP-001 + Nivolumab | Intratumoural subcutaneous/intradermal | NCT03618641 |
| CMP-001 | TLR9 agonist | TLR9 | Melanoma | 2/3 | Active | CMP-001 + Nivolumab vs nivolumab monotherapy | Intratumoral | NCT04695977 |
Data extracted from ClinicalTrials.gov.
Abbreviations: mAb, monoclonal antibody; KIT, receptor tyrosine kinase; TLR, toll like receptor; MIF, migration inhibitory factor; CSF1R, colony-stimulating factor 1 receptor; BRAFi, BRAF inhibitor; MEKi, MEK inhibitor.