| Literature DB >> 29209433 |
Paolo Boscolo-Rizzo1, Carlo Furlan2, Valentina Lupato3, Jerry Polesel4, Elisabetta Fratta5.
Abstract
In the last years, the explosion of high throughput sequencing technologies has enabled epigenome-wide analyses, allowing a more comprehensive overview of the oropharyngeal squamous cell carcinoma (OPSCC) epigenetic landscape. In this setting, the cellular pathways contributing to the neoplastic phenotype, including cell cycle regulation, cell signaling, DNA repair, and apoptosis have been demonstrated to be potential targets of epigenetic alterations in OPSCC. Of note, it has becoming increasingly clear that HPV infection and OPSCC lifestyle risk factors differently drive the epigenetic machinery in cancer cells. Epigenetic changes, including DNA methylation, histone modifications, and non-coding RNA expression, can be used as powerful and reliable tools for early diagnosis of OPSCC patients and improve prognostication. Since epigenetic changes are dynamic and reversible, epigenetic enzymes may also represent suitable targets for the development of more effective OPSCC therapeutic strategies. Thus, this review will focus on the main known epigenetic modifications that can occur in OPSCC and their exploitation as potential biomarkers and therapeutic targets. Furthermore, we will address epigenetic alterations to OPSCC risk factors, with a particular focus on HPV infection, tobacco exposure, and heavy alcohol consumption.Entities:
Keywords: Environmental risk factors; Epigenetics; Human papillomavirus; Oropharyngeal cancer
Mesh:
Year: 2017 PMID: 29209433 PMCID: PMC5704592 DOI: 10.1186/s13148-017-0424-5
Source DB: PubMed Journal: Clin Epigenetics ISSN: 1868-7075 Impact factor: 6.551
Fig. 1Epigenetic regulation of gene expression involves the crosstalk of DNA methylation, histone modifications, and non-coding RNA (ncRNAs). In normal cells (a), CpG within promoter regions of tumor suppressor genes (TSG) are not methylated and are occupied by complexes including RNA polymerase (RNA pol) and transcription factors (TF), thus allowing gene transcription. Histones undergo several post-translational modifications on their N-terminal tails, including acetylation and methylation. Histone acetylation is the result of the dynamic interplay between histone acetyltransferases (HATs) and histone deacetylases (HDACs), and acetylated histones have been associated with actively expressed genes. Unlike histone acetylation, methylation of histone proteins can result in both repressive or promoting effects on transcription, depending on which residue is modified. NcRNAs, which are involved in almost all major cellular functions, may function either as oncogenes or as TSG. NcRNAs whose expression is increased in tumors may be considered as oncogenes, whereas ncRNAs whose expression is decreased in tumor cells are considered TSG. NcRNAs can also regulate the expression and/or the activity of the epigenetic enzymes, such as DNA methyltransferases (DNMTs). In oropharyngeal squamous cell carcinoma (b), the epigenetic state of cells changes in response to HPV infection and environmental-lifestyle factors (i.e., tobacco smoke and/or excessive alcohol intake). The result is the accumulation of several aberrant epigenetic modifications that lead to inappropriate activation or inhibition of key signaling pathways. For example, E6 and E7 HPV oncoproteins and carcinogens from cigarettes and alcohol have been demonstrated to affect histone acetylation and methylation patterns either by directly interacting with epigenetic enzymes [i.e., DNMT, enhancer of zeste homolog 2 (EZH2)] or by modulating the ncRNA landscape
Genes hypermethylated in OPSCC
| Pathway | Gene | Name | Hypermethylated in | Region analyzed | Reference |
|---|---|---|---|---|---|
| Apoptosis | DAPK | Death-associated protein kinase 1 | HPV-negative/positive | Promoter region | [ |
| RASSF1 | Ras association domain-containing protein 1 | HPV-negative | − 244 from TSSa | [ | |
| Promoter region | [ | ||||
| STAT5 | Signal transducer and activator of transcription 5 | HPV-negative | + 42 from TSS | [ | |
| Cell cycle | CCNA1 | Cyclin A1 | HPV-positive | Promoter region | [ |
| + 7 from TSS | [ | ||||
| CDKN2A | Cyclin-dependent kinase inhibitor-2A | HPV-negative | Promoter region | [ | |
| HPV-positive | Three loci within the CpG island of CDKN2A gene | [ | |||
| CHFRb | Checkpoint with forkhead and ring finger domains | HPV-negative | Promoter region | [ | |
| TP73 | Tumor protein p73 | HPV-negative/positive | Promoter region | [ | |
| Cell fate determination | APC | Adenomatous polyposis coli | HPV-negative/positive | Promoter region | [ |
| DNA repair | MGMT | O6-methylguanine-DNA methyltransferases | HPV-negative | − 272 from TSS | [ |
| Protein glycosylation | TUSC3 | Tumor suppressor candidate 3 | HPV-positive | + 29 from TSS | [ |
| Inflammation | JAK3 | Janus kinase 3 | HPV-positive | + 64 from TSS | [ |
| Invasion and metastasis | CADM1 | Cell Adhesion Molecule 1 | HPV-positive | Promoter region | [ |
| CDH11 | Cadherin 11 | HPV-positive | − 354 from TSS | [ | |
| CDH13a | Cadherin 13 | HPV-negative/positive | Promoter region | [ | |
| IGSF4 | Immunoglobulin superfamily member 4 | HPV-positive | Promoter region | [ | |
| SPDEF | SAM pointed domain-containing Ets transcription factor | HPV-negative | + 116 from TSS | [ | |
| TIMP3 | TIMP metallopeptidase inhibitor 3 | HPV-positive | Promoter region | [ | |
| SYBL1 | Synaptobrevin-like 1 | HPV-positive | − 349 from TSS | [ | |
| Signaling | ESR1 | Estrogen receptor 2 | HPV-negative/positive | Promoter region | [ |
| ESR2 | Estrogen receptor 2 | HPV-negative | + 66 from TSS | [ | |
| GALR1 | Galanin receptor type 1/2 | HPV-positive | Two loci within the CpG island of the GALR1 gene | [ | |
| GRB7 | Growth factor receptor-bound protein 7 | HPV-positive | − 160 from TSS | [ | |
| RARβa | Retinoic acid receptor β | HPV-negative/positive | Promoter region | [ | |
| Transcription | RUNX1T1 | RUNX1 translocation partner 1 | HPV-positive | + 145 from TSS | [ |
| TCF21 | Transcription factor 21 | HPV-positive | Promoter region | [ | |
| WNT signaling | SFRP1 | Soluble frizzled receptor protein 1 | Drinkers | Promoter region | [ |
| SFRP4 | Soluble frizzled receptor protein 4 | HPV-positive | Promoter region | [ | |
| WIF1 | WNT inhibitory factor 1 | NA | Promoter region | [ |
NA not applicable
a TSS transcription start site
bHypermethylation of these genes is associated with development of radioresistance in other tumor types
NcRNAs altered in OPSCC
| MiRNA | Up-/downregulation or polymorphism | HPV-associated | Environmental factors associated | Epigenetic regulation | References |
| Let-7c | Down | No | [ | ||
| MiR-9 | Down | No | Promoter methylation | [ | |
| Up | Yes | [ | |||
| MiR-18a | Down | Yes | [ | ||
| Up | No | [ | |||
| MiR-20a | Up | No | [ | ||
| MiR-20b | Up | Yes | [ | ||
| MiR-21 | Up | No | [ | ||
| MiR-26b | Down | Yes | [ | ||
| MiR-30a | Up | No | Alcohol | [ | |
| MiR-30d | Up | No | [ | ||
| MiR-31 | Down | Yes | [ | ||
| MiR-93 | Up | Yes | [ | ||
| MiR-101 | Down | Yes | [ | ||
| Up | No | Alcohol | [ | ||
| MiR-103 | Up | No | [ | ||
| MiR-106b | Up | Yes | [ | ||
| MiR-125a | Down | Yes | [ | ||
| MiR-126 | Down | Yes | [ | ||
| MiR-127 | Down | Yes | [ | ||
| MiR-130a | Up | No | [ | ||
| MiR-137 | Down | No | Promoter methylation | [ | |
| MiR-143 | Down | Yes | [ | ||
| MiR-145 | Down | Yes | [ | ||
| MiR-146 | Polymorphism | Yes | [ | ||
| MiR-149 | Polymorphism | Yes | [ | ||
| MiR-155 | Up | No | [ | ||
| Yes | [ | ||||
| MiR-181b/d | Up | No | [ | ||
| MiR-191 | Up | No | [ | ||
| MiR-195 | Up | Yes | [ | ||
| MiR-196 | Polymorphism | Yes | [ | ||
| MiR-198 | Down | No | [ | ||
| MiR-199a/b | Down | Yes | [ | ||
| MiR-200c | Up | No | [ | ||
| MiR-222 | Up | Yes | [ | ||
| MiR-223 | Down | Yes | [ | ||
| MiR-320 | Up | Yes | [ | ||
| MiR-363 | Up | Yes | [ | ||
| MiR-372 | Up | No | [ | ||
| MiR-375 | Up | Alcohol | [ | ||
| MiR-379 | Down | Yes | [ | ||
| MiR-381 | Down | Yes | [ | ||
| MiR-409 | Down | Yes | [ | ||
| Up | No | [ | |||
| MiR-432 | Down | Yes | [ | ||
| MiR-433 | Down | Yes | [ | ||
| MiR-499 | Up | No | [ | ||
| Polymorphism | Yes | [ | |||
| MiR-517 | Down | Yes | [ | ||
| MiR-675 | Up | No | Alcohol | [ | |
| MiR-934 | Up | No | Alcohol | [ | |
| MiR-1201 | Down | Yes | [ | ||
| MiR-1266 | Up | No | Alcohol | [ | |
| MiR-3164 | Up | No | Alcohol | [ | |
| MiR-3178 | Up | No | Alcohol | [ | |
| MiR-3690 | Up | No | Alcohol | [ | |
| LncRNA | Up-/downregulation | HPV-associated | Environmental factors associated | Epigenetic regulation | References |
| CDKN2B-AS | Up | Yes | [ | ||
| EGOT | Up | Yes | [ | ||
| LINC00152 | Down | Yes | [ | ||
| NCRNA00185 | Down | Yes | [ | ||
| PRINS | Up | Yes | [ | ||
| TTTY14 | Up | Yes | [ | ||
| TTTY15 | Up | Yes | [ | ||
| XIST | Up | Yes | [ |
Association of aberrant DNA methylation and clinical outcome in OPSCC patients
| Gene | Hyper-/hypomethylation | Cohort | Clinical outcome | References |
|---|---|---|---|---|
| MGMT | Hyper | 88 OPSCC | Poorer PFS and OS | [ |
| ALDH3A1 | Hyper | 76 HNSCC, including 15 OPSCC | Decreased OS | [ |
| TAP1 | Hyper | |||
| SMG1 | Hypo | 40 OPSCC | Improved OS in HPV-positive OPSCC | [ |
| ALDH1A2 | Hypo | 170 OPSCC (3 independent cohorts) | Improved clinical outcome in HPV-positive OPSCC | [ |
| GATA4 | Hyper | |||
| GRIA4 | Hyper | |||
| IRX4 | Hyper | |||
| OSR2 | Hypo | |||
| DAPK1 | Hyper | 70 HNSCC, including 9 OPSCC | Lymph node metastasis | [ |
| MGMT | Hyper | |||
| WIF1 | Hyper | 43 HNSCC, including 19 OPSCC | Decreased OS | [ |
| GALR1/2 | Hyper | 202 HNSCC, including 58 OPSCC | Poor survival with the highest association in HPV-negative OPSCC | [ |
| LINE-1 | Hypo | 110 OPSCC (2 independent cohorts) | Increased risk of early relapse in HPV-negative OPSCC | [ |
ALDH aldehyde dehydrogenase, DAPK death-associated protein kinase, GALR galanin receptor, GATA GATA binding protein, GRIA glutamate receptor, IRX iroquois homeobox, LINE long interspersed nuclear element, MGMT O-6-methylguanine-DNA methyltransferases, OSR odd-skipped-related, SMG nonsense mediated mRNA decay associated PI3K-related kinase, TAP transporter associated with antigen processing, WIFI WNT inhibitory factor
Association of ncRNAs profiles and clinical outcome in OPSCC patients
| NcRNA | Conclusion | Cohort | References |
|---|---|---|---|
| MiR-221 | MiR-21 expression correlated with poor prognosis in HNSCC patients | 147 HNSCC, including 31 OPSCC | [ |
| Let-7d | Reduced expression of let-7d and miR-205 is a significant predictor of HNSCC progression independent of anatomical site, tumor stage, treatment, or HPV | 104 HNSCC, including 32 OPSCC | [ |
| MiR-205 | |||
| MiR-107 | Associated with overall survival (OS), independent of HPV status | 88 OPSCC | [ |
| MiR-151 | |||
| MiR-492 | |||
| MiR-20b | Associated with disease-free survival, independent of HPV status | ||
| MiR-107 | |||
| MiR-151 | |||
| MiR-182 | |||
| MiR-361 | |||
| MiR-151 | Associated with distant metastasis, independent of HPV status | ||
| MiR-152 | |||
| MiR-324-5p | |||
| MiR-361 | |||
| MiR-492 | |||
| MiR-9 | Associated with OS in HPV-positive patients | 150 OPSCC | [ |
| MiR-18a | |||
| MiR-31 | |||
| MiR-155 | |||
| MiR-223 | |||
| MiR-146 | Single nucleotide polymorphisms in these miRNAs were associated with reduced and increased risk of OPSCC recurrence, respectively | 1008 OPSCC | [ |
| MiR-196 | |||
| MiR-193b-3p | Positively associated with OS | 81 OPSCC obtained from “The Cancer Genome Atlas”, and 95 OPSCC patients included for validation | [ |
| MiR-455-5p | |||
| MiR-92a-3p | Negatively associated with OS | ||
| MiR-497-5p | |||
| PiR-30506 | Associated with OS in HPV-positive patients | 498 non-malignant and HNSCC tissues, including 66 OPSCC | [ |
| PiR-35953 | |||
| PiR-36715 | |||
| PiR-36984 | |||
| PiR-39592 |