The Role of Immunoproteasomes in Tumor-Immune Cell Interactions in Melanoma and Colon Cancer.
Hanna LeisterFelix F KrauseRouzbeh MahdaviUlrich SteinhoffAlexander VisekrunaPublished in: Archivum immunologiae et therapiae experimentalis (2022)
The participation of proteasomes in vital cellular and metabolic processes that are involved in tumor growth has made this protease complex an attractive target for cancer treatment. In contrast to ubiquitously available constitutive proteasome, the increased enzymatic activity of immunoproteasome is associated with tumor-infiltrating immune cells, such as antigen-presenting cells and T lymphocytes. In various tumors, an effective anti-tumor immunity is provided through generation of tumor-associated antigens by proteasomes, contributing crucially to cancer eradication by T lymphocytes. The knowledge regarding the role of immunoproteasomes in the communication between tumor cells and infiltrating immune cells is limited. Novel data suggest that the involvement of immunoproteasomes in tumorigenesis is more complex than previously thought. In the intestine, in which diverse signals from commensal bacteria and food can contribute to the onset of chronic inflammation and inflammation-driven cancer, immunoproteasomes exert tumorigenic properties by modulating the expression of pro-inflammatory factors. In contrast, in melanoma and non-small cell lung cancer, the immunoproteasome acts against cancer development by promoting an effective anti-tumor immunity. In this review, we highlight the potential of immunoproteasomes to either contribute to inflammatory signaling and tumor development, or to support anti-cancer immunity. Further, we discuss novel therapeutic options for cancer treatments that are associated with modulating the activity of immunoproteasomes in the tumor microenvironment.
Keyphrases
- papillary thyroid
- squamous cell
- oxidative stress
- magnetic resonance
- signaling pathway
- healthcare
- physical activity
- magnetic resonance imaging
- poor prognosis
- squamous cell carcinoma
- machine learning
- helicobacter pylori
- hydrogen peroxide
- big data
- childhood cancer
- nitric oxide
- immune response
- young adults
- artificial intelligence
- human health
- long non coding rna
- helicobacter pylori infection
- data analysis