| Literature DB >> 33023239 |
Francesco Sabbatino1,2, Luigi Liguori3, Giovanna Polcaro1, Ilaria Salvato1,4, Gaetano Caramori4, Francesco A Salzano1, Vincenzo Casolaro1, Cristiana Stellato1, Jessica Dal Col1, Stefano Pepe1,2.
Abstract
Recent advances in cancer immunotherapy have clearly shown that checkpoint-based immunotherapy is effective in a small subgroup of cancer patients. However, no effective predictive biomarker has been identified so far. The major histocompatibility complex, better known in humans as human leukocyte antigen (HLA), is a very polymorphic gene complex consisting of more than 200 genes. It has a crucial role in activating an appropriate host immune response against pathogens and tumor cells by discriminating self and non-self peptides. Several lines of evidence have shown that down-regulation of expression of HLA class I antigen derived peptide complexes by cancer cells is a mechanism of tumor immune escape and is often associated to poor prognosis in cancer patients. In addition, it has also been shown that HLA class I and II antigen expression, as well as defects in the antigen processing machinery complex, may predict tumor responses in cancer immunotherapy. Nevertheless, the role of HLA in predicting tumor responses to checkpoint-based immunotherapy is still debated. In this review, firstly, we will describe the structure and function of the HLA system. Secondly, we will summarize the HLA defects and their clinical significance in cancer patients. Thirdly, we will review the potential role of the HLA as a predictive biomarker for checkpoint-based immunotherapy in cancer patients. Lastly, we will discuss the potential strategies that may restore HLA function to implement novel therapeutic strategies in cancer patients.Entities:
Keywords: biomarker; cancer immunotherapy; carcinogenesis; major histocompatibility complex (MHC), human leukocyte antigen (HLA), antigen processing machinery (APM) molecules; tumor predisposition
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Year: 2020 PMID: 33023239 PMCID: PMC7582904 DOI: 10.3390/ijms21197295
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Defects in tumor antigen processing, translocation and loading on HLA class I. Normally tumor antigens (TAs) are degraded by proteasome/immunoproteasome into TA peptides and translocated into the endoplasmic reticulum (ER) through ATP-dependent activation of TAP transporters. Then, different chaperones: tapasin, calnexin (CNX), calreticulin (CRT) and ERp57 form a multimeric complex that provides for the correct assembly of HLA class I and for peptide loading. The lack of TA presentation during tumor development can be determined by different defective mechanisms depicted in the cartoon. 1. Mutations in genes coding for proteasome subunits or deregulation of their expression implicate an incorrect TA degradation and the production of modified TA peptides. 2. Mutations in TAP genes, associated with down-regulation of their expression or to their dysfunction, reduce the translocation of TA peptides into the ER. 3. Defects in the expression of chaperones reduce the stable assembly of the “peptide-free” HLA class I molecule and of the HLA class I molecule-TA peptide complexes inhibiting a correct and efficient TA peptide presentation. 4. Defects in HLA class I gene expression involve the total loss of these genes or mechanisms that control their transcription resulting in HLA class I molecule down-regulation.
Figure 2Mechanisms for restoring HLA class I expression. IFN binding to IFNR triggers Jak/STAT transduction pathway. STAT1/STAT2/IRF complex translocates to the nucleus where it binds to ISRE motifs located in HLA promoter region, inducing HLA gene transcription. EGFR and MAPK down-stream pathways suppress HLA class I surface expression. EGFR inhibitors, such as nimotuzumab, cetuximab and erlotinib, BRAF inhibitors, vemurafenib and dabrafenib, and MEK inhibitor trametinib can increase expression of both HLA class I antigens and APM components. DNMT inhibitors (azacytidine and guadecitabine) and HDAC inhibitors (vorinostat, belinostat, panobinostat, OKI-179, romidepsin and tubastatin A) avoid hypermethylation of HLA promoter region and histones hypoacetylation that cause HLA genes silencing. Abbreviations: HLA, human leukocyte antigen; IFNs, interferons; IFNR, interferon receptor; IRF, IFN regulatory factor; ISRE, IFN-sensitive response element; EGF, epidermal growth factor; EGFR, epidermal growth factor receptor; DNMT, DNA methyltransferase; HDAC, histone deacetylase; APM, antigen-processing machinery.
Drugs for restoring MHC class I expression [228,230,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253].
| Name | Target | Combination Therapy | Cancer Type | References |
|---|---|---|---|---|
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| Nimotuzumab | EGFR | IFN-γ | epidermoid carcinoma | Garrido G. et al. 2017 [ |
| Trametinib | MEK1/2 | IFN-γ | mesothelioma | Brea et al. 2016 [ |
| Vemurafenib | BRAFV600E | IFN-γ | Melanoma | Sapkota et al. 2013 [ |
| Dabrafenib | Trametinib | Hu-Lieskovan et al. 2015 [ | ||
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| Vorinostat | HDAC class I, II, and IV | Mithramycin A | Merkel cell carcinoma | Ritter et al. 2017 [ |
| B-cell lymphoma | Chacon et al. 2016 [ | |||
| Belinostat | peripheral T-cell lymphoma | Banik et al. 2019 [ | ||
| Panobinostat | multiple myeloma | Banik et al. 2019 [ | ||
| OKI-179 | diffuse large B-cell lymphoma | Wang et al. 2019 [ | ||
| Romidepsin | HDAC 1-2 | B-cell lymphoma | Banik et al. 2019 [ | |
| Tubastatin A | HDAC 6 | Melanoma | Woan et al. 2015 [ | |
| Azacytidine | DNMT | lung carcinoma | Fonsatti et al. 2007 [ | |
| Guadecitabine | breast cancer | Luo et al. 2018 [ | ||
| Tazemetostat | EZH2 | diffuse large B-cell lymphoma | Ennishi et al. 2019 [ | |
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| Cisplatin | DNA | Vinorelbine or5-fluorouracil | lung cancer | De Biasi et al. 2014 [ |
| Epothilone B | Microtubules | ovarian cancer | Pellicciotta et al. 2011 [ | |
| Doxorubicin | Topoisomerase | nasopharyngeal carcinoma | Faè et al. 2016 [ | |
| Topotecan Etoposide | breast cancer | Wan et al. 2012 [ | ||