| Literature DB >> 35053449 |
Huey-Jen Lin1, Yingguang Liu2, Denene Lofland3, Jiayuh Lin4.
Abstract
Breast cancer is the most common malignancy among females in western countries, where women have an overall lifetime risk of >10% for developing invasive breast carcinomas. It is not a single disease but is composed of distinct subtypes associated with different clinical outcomes and is highly heterogeneous in both the molecular and clinical aspects. Although tumor initiation is largely driven by acquired genetic alterations, recent data suggest microenvironment-mediated immune evasion may play an important role in neoplastic progression. Beyond surgical resection, radiation, and chemotherapy, additional therapeutic options include hormonal deactivation, targeted-signaling pathway treatment, DNA repair inhibition, and aberrant epigenetic reversion. Yet, the fatality rate of metastatic breast cancer remains unacceptably high, largely due to treatment resistance and metastases to brain, lung, or bone marrow where tumor bed penetration of therapeutic agents is limited. Recent studies indicate the development of immune-oncological therapy could potentially eradicate this devastating malignancy. Evidence suggests tumors express immunogenic neoantigens but the immunity towards these antigens is frequently muted. Established tumors exhibit immunological tolerance. This tolerance reflects a process of immune suppression elicited by the tumor, and it represents a critical obstacle towards successful antitumor immunotherapy. In general, immune evasive mechanisms adapted by breast cancer encompasses down-regulation of antigen presentations or recognition, lack of immune effector cells, obstruction of anti-tumor immune cell maturation, accumulation of immunosuppressive cells, production of inhibitory cytokines, chemokines or ligands/receptors, and up-regulation of immune checkpoint modulators. Together with altered metabolism and hypoxic conditions, they constitute a permissive tumor microenvironment. This article intends to discern representative incidents and to provide potential innovative therapeutic regimens to reinstate tumoricidal immunity.Entities:
Keywords: antigen presentation and recognition; breast cancer; hypoxia; immune evasion; immune-oncological targeted therapy; tumor microenvironment and metabolism; tumor-infiltrating lymphocytes
Year: 2022 PMID: 35053449 PMCID: PMC8774102 DOI: 10.3390/cancers14020285
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Representative aberrations in breast cancer cell (A), tumoricidal cells (B), cancer-promoting cells and metabolites (C) lead to immune evasion. This crosstalk map indicates the tumoricidal cells and factors (in green) and the pro-tumorigenic counterparts and factors (in red). Rectangular boxes represent cell surface molecules; plain lines indicate binding; solid arrows represent activation; and dashed lines show inhibition between modulators. Abbreviations used include cluster of differentiated (CD), CTL-associated protein 4 (CTLA-4), cyclooxygenase-2 (COX2), cytotoxic T lymphocyte (CTL), dendritic cell (DC), human leukocyte antigen G (HLA-G), hypoxia-inducible factor (HIF), indoleamine 2,3-dioxygenase (IDO), inducible nitric oxide synthase (iNOS), interleukin (IL), lymphocyte activation gene-3 (LAG-3), lectin-like transcript-1 (LLT1), M2 macrophage (M2), myelin and lymphocyte protein 2 (MAL2), major histocompatibility complex class I (MHC-I), myeloid-derived suppressor cells (MDSC), macrophage c-mer tyrosine kinase (Mertk), major histocompatibility complex (MHC), MHC-I related chain A (MICA), mucin 1 C-terminal (MUC1-C), natural killer cell (NK), nitric oxide (NO), reactive oxygen species (ROS), regulatory T cell (Treg), programmed death receptor-1 (PD-1), programmed death-ligand 1 (PD-L1), sialic acid binding Ig like lectin-10 (Siglec-10), signal regulatory protein α (SIRPA), T-cell immunoglobulin and mucin domain-containing molecule 3 (TIM-3), transforming growth factor β (TGF-β), and UL16 binding protein 2 (ULBP2). It is worth mentioning the sizes of various cells may be disproportional to their actual dimensions.
Representative therapeutic targets combat immune evasion of breast cancer.
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| miR-148a mimic | HLA-G | Non-classical HLA promotes immune escape | [ |
| avβ6 antibody | αvβ6-TGFβ-SOX4 pathway | SOX4 inhibits CTL | [ |
| shRNA silences | MUC1-C | MUC1-C enhances IFN-γ signaling that inhibits CTL | [ |
| αCTLA4 | CTLA-4 receptor | Immune checkpoint blockade | [ |
| αPD-1 or αPD-L1 | PD-1/PDL-1 | Immune checkpoint blockade | [ |
| PD-L1 acetyltransferase inhibitor | PD-L1 | Palmitoylation of PD-L1 stabilizes intracellular PD-L1 | [ |
| STAT1 or STAT3 inhibitor | STAT1/STAT3 | The heterodimer activates transcription of PD-L1 | [ |
| shRNA silences Syntenin1 | Syntenin1 | Syntenin1 upregulates PD-L1 | [ |
| αLAG-3 | LAG-3 | Immune checkpoint blockade | [ |
| αTIM-3 | TIM-3 | Immune checkpoint blockade | [ |
| miR-149-3p mimic | TIM-3 | miR149-3p downregulates PD-1 and TIM-3 | [ |
| αLLT1 | LLT1 | LLT1 is a tumor ligand to engage inhibitory receptors on NK cells | [ |
| 519a-3p antagonist | Enhances ULBP2 & MICA expression | Reinstate recognition of BC by NK cells | [ |
| αCD24, αCD47, αSIRPA, αSiglec-10 | CD24, CD47, SIRPA, Siglec-10 | Impede bindings between BC cells and M2 | [ |
| αB7-H3 | B7-H3 | B7-H3 is an immune checkpoint modulator on tumor cells and TAMs | [ |
| αMertk | Mertk | Mertk is an immunosuppressive receptor on TAMs | [ |
| Syndecan 2 peptide | Syndecan-2 | Syndecan-2 secreted by the stroma is immunosuppressive | [ |
| Galectin inhibitor | Galectin-3 | Galectin-3 produced by tumor cells inactivates multiple glycosylated cytokines and chemokines | [ |
| MEK inhibitor | Ras/MAPK pathway | Overactivated MAPK pathway is immunosuppressive | [ |
| GPR81 blockade | GPR81 | Lactate enhances expression of PD-L1 through the GPR81 receptor | [ |
| A2a inhibitor | A2a | Adenosine inhibits CTL and NK through membrane receptors such as A2a and A2b | [ |
| HIF-1 inhibitor | HIF | HIF has broad immunosuppressive activities | [ |
The past, current, and future potential immunotherapeutic targets with respects to their rationales are exemplified. Treatment antibodies against respective target antigens are abbreviated as α. Additional abbreviations can be referred to legend for Figure 1.