Human papillomavirus (HPV) DNA methylation changes in HPV-associated head and neck cancer.

Despite the rising incidence, currently, there are no early detection methods for HPV-driven HNC (HPV-HNC). Cervical cancer studies suggest that HPV DNA methylation changes can be used as a biomarker to discriminate cancer patients from HPV-infected individuals. As such, this study was designed to establish a protocol to evaluate DNA methylation changes in HPV late genes and long control region (LCR) in saliva samples of HPV-HNC patients and HPV-positive controls. Higher methylation levels were detected in HPV late genes (L1 and L2) in both tumour and saliva samples of HPV-HNC patients compared with HPV-positive controls. Moreover, methylation patterns between tumours and corresponding saliva samples were observed to have a strong correlation (Passing-Bablok regression analysis; τ = 0.7483, P < 0.0001). Considering the differences between HNC and controls in methylation levels in late genes, and considering primer amplification efficiencies, 13 CpG sites located at L1 and L2 genes were selected for further evaluation. A total of 18 HNC saliva samples and 10 control saliva samples were assessed for the methylation levels in the selected sites. From the CpG sites evaluated statistically significant differences were identified for CpG sites at L2-CpG 6 (P = 0.0004), L1-CpG 3 (P = 0.0144), L1-CpG 2 (P = 0.0395) and L2-CpG 19 (P = 0.0455). Our pilot data indicate that higher levels of DNA methylation in HPV late genes are indicative of HPV-HNC risk, and it is a potential supplementary biomarker for salivary HPV detection-based HPV-HNC screening.

Analysis of human leukocyte antigen associations in human papillomavirus-positive and -negative head and neck cancer: Comparison with cervical cancer.

BACKGROUND: Although the majority of human papillomavirus (HPV) infections are cleared by the immune system, a small percentage of them progress to develop HPV-driven cancers. Cervical cancer studies highlight that HPV persistence and cancer risk are associated with genetic factors, especially at the human leukocyte antigen (HLA) genes. This study was conducted to investigate such associations in head and neck cancer (HNC). METHODS: In all, 192 patients with HNC and 384 controls were genotyped with the Infinium Global Screening Array (Illumina, Inc). HLA variants were imputed with SNP2HLA, and an association analysis was performed by logistic regression. RESULTS: HPV-positive HNCs were significantly associated with single-nucleotide polymorphisms (SNPs) at DRB1_32660090 (P = 1.728 × 10-6 ) and DRB1_32660116 (P = 1.728 × 10-6 ) and with the amino acid variant DRB1_11_32660115 (P = 1.728 × 10-6 ). None of these associations were observed in the HPV-negative cohort, and this suggested their specificity to convey risk for HPV-associated HNCs. In general, associations observed for HPV-negative HNC were relatively weak, and variants in the HLA-DPA1 region were the strongest among them (P = 4.531 × 10-4 ). Several lead signals reported by previous HNC genome-wide association studies, including SNPs rs3135001 (P = .012), rs1049055 (P = .012), and rs34518860 (P = .029) and allele HLA-DQB1*06 (P = .009), were replicated in the current study. However, these associations were limited to the HPV-positive HNC group. Several cervical cancer-associated HLA variants, including SNPs rs9272143 (P = .002) and rs9271858 (P = .002) and alleles HLA-B-1501 (P = .009) and HLA-B-15 (P = .015), were also exclusively associated with HPV-positive HNC. CONCLUSIONS: HPV-positive HNC risk is associated with distinct HLA variants, and some of them are shared by both cervical cancer and HPV-positive HNC. Human papillomavirus (HPV)-positive head and neck cancer (HNC) risk is associated with distinct human leukocyte antigen variants, and some of them are shared by both cervical cancer and HPV-positive HNC. LAY SUMMARY: Cervical cancer studies highlight that human papillomavirus (HPV)-driven cancer risk is linked with human leukocyte antigen (HLA) polymorphism. Hence, the current study was designed to investigate the HLA associations in HPV-positive and HPV-negative head and neck cancer (HNC) and compare these associations with cervical cancer. Several lead signals reported by previous HNC and cervical genome-wide association studies were replicated in the current study. However, these associations were limited to the HPV-positive HNC group, and this suggests that HPV-positive HNC risk is associated with distinct HLA variants, and some of them are shared by both cervical cancer and HPV-positive HNC.

A novel saliva-based miRNA profile to diagnose and predict oral cancer.

Oral cancer (OC) is the most common form of head and neck cancer. Despite the high incidence and unfavourable patient outcomes, currently, there are no biomarkers for the early detection of OC. This study aims to discover, develop, and validate a novel saliva-based microRNA signature for early diagnosis and prediction of OC risk in oral potentially malignant disorders (OPMD). The Cancer Genome Atlas (TCGA) miRNA sequencing data and small RNA sequencing data of saliva samples were used to discover differentially expressed miRNAs. Identified miRNAs were validated in saliva samples of OC (n = 50), OPMD (n = 52), and controls (n = 60) using quantitative real-time PCR. Eight differentially expressed miRNAs (miR-7-5p, miR-10b-5p, miR-182-5p, miR-215-5p, miR-431-5p, miR-486-3p, miR-3614-5p, and miR-4707-3p) were identified in the discovery phase and were validated. The efficiency of our eight-miRNA signature to discriminate OC and controls was: area under curve (AUC): 0.954, sensitivity: 86%, specificity: 90%, positive predictive value (PPV): 87.8% and negative predictive value (NPV): 88.5% whereas between OC and OPMD was: AUC: 0.911, sensitivity: 90%, specificity: 82.7%, PPV: 74.2% and NPV: 89.6%. We have developed a risk probability score to predict the presence or risk of OC in OPMD patients. We established a salivary miRNA signature that can aid in diagnosing and predicting OC, revolutionising the management of patients with OPMD. Together, our results shed new light on the management of OC by salivary miRNAs to the clinical utility of using miRNAs derived from saliva samples.

Salivary micro RNAs as biomarkers for oropharyngeal cancer.

BACKGROUND: Despite the rising incidence, particularly of the human papillomavirus (HPV)-associated fraction of oropharyngeal cancer (OPC), there are no early detection methods for OPC. Considering the close association between saliva and head and neck cancers, this study was designed to investigate salivary micro RNA (miRNAs) associated with OPC, especially focusing on HPV-positive OPC. METHODS: Saliva was collected from OPC patients at diagnosis and patients were clinically followed up ≤5 years. Salivary small RNA isolated from HPV-positive OPC patients (N = 6), and HPV-positive (N = 4) and negative controls (N = 6) were analysed by next-generation sequencing to identify dysregulated miRNAs. Discovered miRNAs were validated by quantitative PCR using two different assays in a separate cohort of patients (OPC = 91, controls = 92). The relative expression was calculated considering SNORD-96A as the normalizer. Candidate miRNAs with diagnostic and prognostic potential were evaluated by generalized logistic regression. RESULTS: A panel consisting of nine miRNAs was identified to have the best diagnostic performance to discriminate HPV-positive OPC from HPV-positive controls (AUC- validation-1 = 94.8%, validation-2 = 98%). Further, a panel consisting of six miRNAs were identified to discriminate OPC from controls regardless of the HPV status (AUC- validation-1 = 77.2%, validation-2 = 86.7%). In addition, the downregulation of hsa-miR-7-5p was significantly associated with poor overall survival of OPC patients (HR = 0.638). A panel consisting of nine miRNAs were identified for the prediction of the overall survival of the OPC patients (log-rank test-p = 0.0008). CONCLUSION: This study highlights that salivary miRNAs can play an essential role in the detection and prognostication of OPC.

Application of circulating tumour cells to predict response to treatment in head and neck cancer.

BACKGROUND: Local recurrence and metastasis remain the major causes of death in head and neck cancer (HNC) patients. Circulating tumour cells (CTCs) are shed from primary and metastatic sites into the circulation system and have been reported to play critical roles in the metastasis and recurrence of HNC. Here, we explored the use of CTCs to predict the response to treatment and disease progression in HNC patients. METHODS: Blood samples were collected at diagnosis from HNC patients (n = 119). CTCs were isolated using a spiral microfluidic device and were identified using immunofluorescence staining. Correlation of baseline CTC numbers to 13-week PET-CT data and multidisciplinary team consensus data were conducted. RESULTS: CTCs were detected in 60/119 (50.4%) of treatment naïve HNC patients at diagnosis. Baseline CTC numbers were higher in stage III vs. stage I-II p16-positive oropharyngeal cancers (OPCs) and other HNCs (p = 0.0143 and 0.032, respectively). In addition, we found that baseline CTC numbers may serve as independent predictors of treatment response, even after adjusting for other conventional prognostic factors. CTCs were detected in 10 out of 11 patients exhibiting incomplete treatment responses. CONCLUSIONS: We found that baseline CTC numbers are correlated with treatment response in patients with HNC. The expression level of cell-surface vimentin (CSV) on CTCs was significantly higher in patients with persistent or progressive disease, thus providing additional prognostic information for stratifying the risk at diagnosis in HNC patients. The ability to detect CTCs at diagnosis allows more accurate risk stratification, which in the future may be translated into better patient selection for treatment intensification and/or de-intensification strategies.

Salivary High-Risk Human Papillomavirus (HPV) DNA as a Biomarker for HPV-Driven Head and Neck Cancers.

High-risk human papillomavirus (HR-HPV) infection is a major risk factor of head and neck cancers (HNCs). Despite the rising prevalence of HPV-driven HNC (HPV-HNC), biomarkers for detection, prognostication, and disease monitoring are lacking. To evaluate the capacity of salivary HR-HPV DNA as a biomarker of HPV-HNC, the salivary HR-HPV statuses of 491 and 10 patients with primary and recurrent HNC, respectively, were determined at diagnosis, using quantitative real-time PCR and MassARRAY. Tumor cyclin-dependent kinase inhibitor 2A (p16) expression was determined by IHC analysis. Patients with oropharyngeal cancer (OPC) (n = 215) were followed up for ≤5 years. Survival characteristics were evaluated in terms of event-free and cause-specific survival. Of the primary-HNC cohort, 43.2% were positive for salivary HR-HPV DNA, with most having OPC. Salivary HR-HPV DNA was detected in 81.4% of tumor p16-positive OPC patients at diagnosis. Prognosis in salivary HR-HPV-positive OPC patients was favorable compared with that in salivary HR-HPV-negative patients (event-free survival, hazard ratio = 0.42 [95% CI, 0.21-0.81, P = 0.010]; cause-specific survival, hazard ratio = 0.39 [95% CI, 0.18-0.86, P = 0.019]). In the recurrent-HNC cohort, salivary HR-HPV DNA was detected in 83.3% of those who previously had tumor p16-positive HNC. These findings indicate that this liquid biopsy-based, noninvasive biomarker can play an essential role in the detection and management of HPV-HNC.

DNA Methylation Changes in Human Papillomavirus-Driven Head and Neck Cancers.

Disruption of DNA methylation patterns is one of the hallmarks of cancer. Similar to other cancer types, human papillomavirus (HPV)-driven head and neck cancer (HNC) also reveals alterations in its methylation profile. The intrinsic ability of HPV oncoproteins E6 and E7 to interfere with DNA methyltransferase activity contributes to these methylation changes. There are many genes that have been reported to be differentially methylated in HPV-driven HNC. Some of these genes are involved in major cellular pathways, indicating that DNA methylation, at least in certain instances, may contribute to the development and progression of HPV-driven HNC. Furthermore, the HPV genome itself becomes a target of the cellular DNA methylation machinery. Some of these methylation changes appearing in the viral long control region (LCR) may contribute to uncontrolled oncoprotein expression, leading to carcinogenesis. Consistent with these observations, demethylation therapy appears to have significant effects on HPV-driven HNC. This review article comprehensively summarizes DNA methylation changes and their diagnostic and therapeutic indications in HPV-driven HNC.