Title |
A Role for Naturally Occurring Alleles of Endoplasmic Reticulum Aminopeptidases in Tumor Immunity and Cancer Pre-Disposition
|
---|---|
Published in |
Frontiers in oncology, December 2014
|
DOI | 10.3389/fonc.2014.00363 |
Pubmed ID | |
Authors |
Efstratios Stratikos, Athanasios Stamogiannos, Efthalia Zervoudi, Doriana Fruci |
Abstract |
Endoplasmic reticulum aminopeptidase 1 and 2 (ERAP1 and ERAP2) are key components on the pathway that generates antigenic epitopes for presentation to cytotoxic T-lymphocytes (CTLs). Coding single nucleotide polymorphisms (SNPs) in these enzymes have been associated with pre-disposition to several major human diseases including inflammatory diseases with autoimmune etiology, viral infections, and virally induced cancer. The function of these enzymes has been demonstrated to affect CTL and natural killer cell responses toward healthy and malignant cells as well as the production of inflammatory cytokines. Recent studies have demonstrated that SNPs in ERAP1 and ERAP2 can affect their ability to generate or destroy antigenic epitopes and define the immunopeptidome. In this review, we examine the potential role of these enzymes and their polymorphic states on the generation of cytotoxic responses toward malignantly transformed cells. Given the current state-of-the-art, it is possible that polymorphic variation in these enzymes may contribute to the individual's pre-disposition to cancer through altered generation or destruction of tumor antigens that can facilitate tumor immune evasion. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 25% |
Researcher | 5 | 10% |
Student > Bachelor | 4 | 8% |
Other | 4 | 8% |
Student > Master | 4 | 8% |
Other | 5 | 10% |
Unknown | 14 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 25% |
Biochemistry, Genetics and Molecular Biology | 10 | 21% |
Medicine and Dentistry | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 4 | 8% |
Unknown | 16 | 33% |