L1 Gene Methylation in High-Risk Human Papillomaviruses for the Prognosis of Cervical Intraepithelial Neoplasia:

Spontaneous regression of cervical intraepithelial neoplasia 3 in women with a biopsy-cone interval of greater than 11 weeks

Background

Although there is broad consensus that only a subset of CIN3 will progress to cancer, there is currently no surefire way to predict which CIN3 will regress. Understanding the natural history of CIN3 is important, and finding markers for progression or regression could improve treatment strategies. According to the guidelines of the American Society for Colposcopy and Cervical Pathology of 2006, positive CIN3 p16 in women should be managed with excisional treatment (LEEP). For ethical reasons we cannot fail to treat women with CIN3 in order to study their regression capacity so we conducted a retrospective study to evaluate the regression rate of CIN3 diagnosed with a biopsy by studying the histological result of the cone removed by LEEP. We also investigated age, HPV genotypes and biopsy-cone interval distance as possible regression factors.

Methods

We selected 171 women with a histological diagnosis of positive CIN3 p16 as an entry criterion. All patients underwent LEEP / biopsy. A histological diagnosis of the cone of CIN3 or higher was considered as persistence or progression, the diagnosis of CIN1 or lower was considered as regression of the lesion.

We used out a logistic model to study the probability of spontaneous regression of CIN3 as a function of the patient’s age, the time elapsed between the biopsy and the cone (in weeks) and the HPV genotype.

Results

We found that the spontaneous regression rate of CIN3 was 15,8%, which was strongly associated with the biopsy-cone interval > 11 weeks. Genotype 16, the most represented, was present both in cases of regression (77.8%) and in persistence (83.3%). Regarding age, the estimated odds ratio of the probability of observing a regression in women over 25 years of age was 0.0045 times that of women under 25 years of age (CI: 0.00020, 0.036). Neither age nor viral genotype are significant as predictors of regression.

Conclusion

To wait at least 11 weeks from the biopsy before subjecting the woman to LEEP could prevent unnecessary LEEP procedures, considering also that from CIN3 to carcinoma it takes years before the neoplastic transformation takes place.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-10179-1.

Possible role of negative human papillomavirus E6/E7 mRNA as a predictor of regression of cervical intraepithelial neoplasia 2 lesions in hr-HPV positive women

Background

The aim of this study was to evaluate the regression rate of CIN2 p16 positive lesions in women over 25 years of age and identify possible predictors of regression.

Methods

A total of 128 CIN2 p16 positive patients over 25 years old were considered. The women met the following inclusion criteria: HPV genotype 16, 18, 31, 33, 45 positive, HPV E6 / E7 mRNA test positive, without immune system pathologies, not pregnant and had completed at least two years of follow-up. At each follow-up examination patients were examined by colposcopy, HPV test, E6/E7mRNA, targeted biopsy and p16 protein detection. The final state after the two years of follow-up was classified as progression if the histology showed a CIN3, persistence if the lesion was a CIN2, regression if negative or LSIL. The predicted regression factors evaluated were: HPV E6/E7mRNA, protein p16.

Results

Overall, we had 35.1% (45 cases) of progression to CIN3, 41.4% (53 cases) of persistence and 23.4% (30 cases) of regression. The regression rate was higher in women with negative mRNA 92.8% (26/28), OR 312 (34.12–1798.76) p = 0.0001, while women with p16 negative had a regression of 22.6% (7/31), OR 0.94 (95% CI 0.36–2.46), p was not significant. We found no significant difference in regression between p16 positive (23.7%) and p16 negative (22.6%) CIN2 p16 lesions. p16 had a VPN of 22.6 (CI 95% 0.159–0.310), indicating that a p16 negative lesion does not exclude a CIN2 + .

Conclusions

We had a regression rate of 23.4%, which was low if we consider that in the literature the regression rates vary from 55 to 63%. The discrepancy in the results may indeed be explained by the fact that all lesions in our study were hr-HPV positive and belonged to “older women” reflecting a more "high-risk" population. As regression factors we studied p16 and HPV E6/E7 mRNA. The results of our study show that HPV mRNA, if negative, appears to be able to identify CIN2 lesions with a higher probability of regression and underlines how a p16 negative is not an indicator of regression.

Human papillomavirus 16 L1 gene methylation as a potential biomarker for predicting anal intraepithelial neoplasia in men who have sex with men (MSM)

The human papillomavirus (HPV) 16 early promoter and L1 gene methylation were quantitatively measured using pyrosequencing assay in anal cells collected from men who have sex with men (MSM) to determine potential biomarkers for HPV-related anal cancer. The methylation patterns of HPV16 genes, including the early promoter (CpG 31, 37, 43, 52, and 58) and L1 genes (CpG 5600, 5606, 5609, 5615, 7136, and 7145), were analyzed in 178 anal samples. The samples were diagnosed as normal, anal intraepithelial neoplasia (AIN) 1, AIN2, and AIN3. Low methylation levels of the early promoter (< 10%) and L1 genes (< 20%) were found in all detected normal anal cells. In comparison, medium to high methylation (≥ 20–60%) in the early promoter was found in 1.5% (1/67) and 5% (2/40) of AIN1 and AIN2-3 samples, respectively. Interestingly, slightly increased L1 gene methylation levels (≥ 20–60%), especially at the HPV16 5’L1 regions CpGs 5600 and 5609, were demonstrated in AIN2-3 specimen. Moreover, a negative correlation between high HPV16 L1 gene methylation at CpGs 5600, 5609, 5615, and 7145 and a percentual CD4 count was found in AIN3 HIV positive cases. When comparing the methylation status of AIN2-3 to that of normal/AIN1 lesions, the results indicated the potential of using HPV16 L1 gene methylation as a biomarker for HPV-related cancer screening.

Mucosal and Cutaneous Human Papillomavirus Infections and Cancer Biology

Papillomaviridae is a family of small non-enveloped icosahedral viruses with double-stranded circular DNA. More than 200 different human papillomaviruses (HPVs) have been listed so far. Based on epidemiological data, a subgroup of alphapapillomaviruses (alpha HPVs) was referred to as high-risk (HR) HPV types. HR HPVs are the etiological agents of anogenital cancer and a subset of head and neck cancers. The cutaneous HPV types, mainly from beta and gamma genera, are widely present on the surface of the skin in the general population. However, there is growing evidence of an etiological role of betapapillomaviruses (beta HPVs) in non-melanoma skin cancer (NMSC), together with ultraviolet (UV) radiation. Studies performed on mucosal HR HPV types, such as 16 and 18, showed that both oncoproteins E6 and E7 play a key role in cervical cancer by altering pathways involved in the host immune response to establish a persistent infection and by promoting cellular transformation. Continuous expression of E6 and E7 of mucosal HR HPV types is essential to initiate and to maintain the cellular transformation process, whereas expression of E6 and E7 of cutaneous HPV types is not required for the maintenance of the skin cancer phenotype. Beta HPV types appear to play a role in the initiation of skin carcinogenesis, by exacerbating the accumulation of UV radiation-induced DNA breaks and somatic mutations (the hit-and-run mechanism), and they would therefore act as facilitators rather than direct actors in NMSC. In this review, the natural history of HPV infection and the transforming properties of various HPV genera will be described, with a particular focus on describing the state of knowledge about the role of cutaneous HPV types in NMSC.

A prospective study on the predictive value of DNA methylation in cervical intraepithelial neoplasia prognosis

PURPOSE

To study the predictive value of the DNA methylation levels of JAM3, SOX1, SLIT2, C13ORF18, and TERT in the cervical intraepithelial neoplasia prognosis.

METHOD

In the present study, 139 cases were collected and followed up for 24 months. The DNA methylation levels of JAM3, SOX1, SLIT2, C13ORF18, and TERT were tested from their exfoliated cells. One-way ANOVA, receiver operating characteristic (ROC) curve analyses were conducted to analyze the data.

RESULTS

The DNA methylation of the five genes was associated with prognosis of CIN. The levels of methylation increased as the progression of lesion for the prognosis. For CIN1, difference between DNA methylation of JAM3, SOX1, SLIT2, and C13ORF18 had significance statistically (P < 0.001). Sensitivity (95.2%) and specificity (93.1%) of JAM3 were the highest compared with other genes for the prognosis of CIN1. In addition, for CIN2/3, DNA methylation of JAM3, SOX1, SLIT2, TERT, and C13ORF18 had difference statistically (P < 0.001). JAM3 were also the highest in sensitivity (95.2%) and specificity (93.1%) compared with other genes for the prognosis of CIN2/3.

CONCLUSIONS

Our data suggest for the first time that DNA methylation levels are associated with prognosis of CIN significantly. DNA methylation levels of some genes, especially JAM3, may serve as markers for the prediction of the CIN prognosis, including CIN1 nature prognosis and CIN2/3 after treatment.

Identification of reliable biomarkers of human papillomavirus 16 methylation in cervical lesions based on integration status using high-resolution melting analysis

Background

The dynamic methylation of human papillomavirus (HPV) 16 DNA is thought to be associated with the progression of cervical lesions. Previous studies that did not consider the physical status of HPV 16 may have incorrectly mapped HPV 16 methylomes. In order to identify reliable biomarkers for squamous cervical cancer (SCC), we comprehensively evaluated the methylation of HPV 16 depending on the integration incidence of each sample.

Methods

Based on the integration status of 115 HPV 16-infected patients (50 SCC, 30 high-grade squamous intraepithelial lesion [HSIL], and 35 low-grade squamous intraepithelial lesion [LSIL]) and HPV 16-infected Caski cell lines by PCR detection of integrated papillomavirus sequences, we designed a series of primers that would not be influenced by breakpoints for a high-resolution melting (HRM) PCR method to detect the genome methylation.

Results

A few regions with recurrent interruptions were identified in E1, E2/E4, L1, and L2 despite scattering of breakpoints throughout all eight genes of HPV 16. Frequent integration sites often occurred concomitantly with methylated CpG sites. The HRM PCR method showed 100% agreement with pyrosequencing when 3% was set as the cutoff value. A panel of CpG sites such as nt5606, nt5609, nt5615, and nt5378 can be combined in reweighing calculations to distinguish SCC from HSIL and LSIL patients which have high sensitivity and specificity (88% and 92.31%, respectively).

Conclusions

Our research shows that combination of CpG sites nt5606, nt5609, nt5615, and nt5378 can be used as potential diagnosis biomarkers for SCC, and the HRM PCR method is suitable for clinical methylation analysis.

Electronic supplementary material

The online version of this article (10.1186/s13148-018-0445-8) contains supplementary material, which is available to authorized users.

Methylation of the L1 gene and integration of human papillomavirus 16 and 18 in cervical carcinoma and premalignant lesions

High-risk human papillomavirus (HPV) is the primary cause of cervical carcinoma (CC). Viral integration into the host chromosomes is associated with neoplastic progression, and epigenetic changes may occur as a result. The objective of the present study was to analyze HPV L1 gene methylation and to compare the use of quantitative polymerase chain reaction (qPCR), in situ hybridization (ISH) and L1 methylation analysis as methods for detecting HPV integration. Cervical scrapes or biopsy samples positive for HPV 16 or 18, from 187 female patients with CC, squamous intraepithelial lesions (SILs) or no intraepithelial lesion (non-IL) were analyzed. Methylation of the L1 gene was determined using bisulfite modification followed by PCR, and HPV integration was subsequently analyzed. HPV 16 L1 gene methylation was revealed to increase with histological grade, with statistically significant differences observed as follows: Low-grade SIL vs. CC, P<0.0001 and non-IL vs. CC, P<0.0001. HPV 18 L1 gene methylation also increased according to histological grade, however, no statistically significant differences were observed. Methylation at CpG site 5608 of the HPV 16 L1 gene was associated with all grades of cervical lesions, whereas methylation at CpG site 5617 demonstrated the strongest association with CC (odds ratio, 42.5; 95% confidence interval, 4.7-1861; P<0.0001). The concordance rates between the various methods for the detection of the physical status of HPV 16 and HPV 18 were 96.1% for qPCR and ISH, 76.7% for qPCR and L1 gene methylation, and 84.8% for ISH and L1 gene methylation. In conclusion, methylation of the HPV 16 L1 gene increases significantly according to the grade of the cervical lesion, and methylation at CpG sites 5608 and 5617 of this gene may be used as prognostic biomarkers. ISH and L1 gene methylation have good concordance with qPCR with regards to the detection of HPV integration. Therefore, these are useful methods in determining the physical state of HPV.

Human Papillomavirus DNA Methylation Predicts Response to Treatment Using Cidofovir and Imiquimod in Vulval Intraepithelial Neoplasia 3

Purpose: Response rates to treatment of vulval intraepithelial neoplasia (VIN) with imiquimod and cidofovir are approximately 57% and 61%, respectively. Treatment is associated with significant side effects and, if ineffective, risk of malignant progression. Treatment response is not predicted by clinical factors. Identification of a biomarker that could predict response is an attractive prospect. This work investigated HPV DNA methylation as a potential predictive biomarker in this setting.Experimental Design: DNA from 167 cases of VIN 3 from the RT3 VIN clinical trial was assessed. HPV-positive cases were identified using Greiner PapilloCheck and HPV 16 type-specific PCR. HPV DNA methylation status was assessed in three viral regions: E2, L1/L2, and the promoter, using pyrosequencing.Results: Methylation of the HPV E2 region was associated with response to treatment. For cidofovir (n = 30), median E2 methylation was significantly higher in patients who responded (P ≤ 0.0001); E2 methylation >4% predicted response with 88.2% sensitivity and 84.6% specificity. For imiquimod (n = 33), median E2 methylation was lower in patients who responded to treatment (P = 0.03; not significant after Bonferroni correction); E2 methylation <4% predicted response with 70.6% sensitivity and 62.5% specificity.Conclusions: These data indicate that cidofovir and imiquimod may be effective in two biologically defined groups. HPV E2 DNA methylation demonstrated potential as a predictive biomarker for the treatment of VIN with cidofovir and may warrant investigation in a biomarker-guided clinical trial. Clin Cancer Res; 23(18); 5460-8. ©2017 AACR.

Association between PD-L1 and HPV status and the prognostic value for HPV treatment in premalignant cervical lesion patients

The difference of PD-L1 expression between only HPV-positive patients and premalignant cervical lesion patients did not be reported in present studies. And to test the PD-L1 expression in some cervical cell lesion studies using cervical exfoliated cells sample also was ignored. Meanwhile, the PD-L1 expression as a predictive biomarker still existed controversy. So in the study, first to compare the expression of PD-L1 between only HPV-positive patients and premalignant cervical lesion patients, then to research the association between PD-L1 and HPV status, lastly to explore the possible prognostic value for HPV treatment in premalignant cervical lesion patients.Cervical exfoliated cells samples of 54 premalignant cervical lesion patients with HPV16 infection were collected; meanwhile the cervical exfoliated cells samples from 20 healthy women without HPV infection and 20 patients with only HPV16 infection but cervical cytology normal were collected as 2 control groups. Flow-through hybridization and gene chip (FHGC) was used to detect the HPV type, the PD-L1 expression was tested by Flow cytometry analysis, the methylation-sensitive high-resolution melting (MS-HRM) was used to test the HPV16 L1 gene methylation. The 54 premalignant cervical lesion patients were followed up in 18 months to assess the prognostic value of PD-L1 for HPV treatment.The PD-L1 positive cell rate and mean fluorescence intensity of PD-L1 positive cell in premalignant cervical lesion patients with HPV16 infection were higher than 2 control groups. Mean fluorescence intensity of PD-L1 positive cell were increased in 54 cases when existing multiple HPV status and high HPV16-L1 gene methylation (L1 gene methylation more than 50%). High PD-L1 expression (PD-L1 positive cell rate more than 10%), high HPV16-L1 gene methylation, and multiple HPV infection status could prolong the time to clean HPV infection by Kaplan-Meier analysis. Multivariate Cox proportional hazards analysis also showed that all of high PD-L1 expression, high HPV-L1 methylation, and multiple HPV infection status should increase the risk of HPV unclearance in premalignant cervical lesion patients; the hazard ratio (HR) was 2.043 (CI: 1.050-3.973), 2.797 (CI: 1.277-6.122), and 3.050 (CI: 1.406-6.615).PD-L1 expression only was correction with HPV infection when the infection induced the cervical cells to create the lesion. PD-L1 was the risk factor of HPV unclearance in premalignant cervical lesion patients, so anti-PD-L1 therapy could be a potential effectiveness way of HPV infection in premalignant cervical lesion patients.

Increased HPV L1 gene methylation and multiple infection status lead to the difference of cervical epithelial cell lesion in different ethnic women of Xinjiang, China

Human papillomavirus (HPV) L1 gene methylation deeply involved in the progression and heterogeneity of cervical cell epithelial lesions. The DNA ploidy also represented the early lesions of cervical cell, and it was associated with different HPV infection status in different ethnic women. So, the research was to explore whether it was possible that HPV L1 gene methylation and HPV infection status as the risk factors to lead to the differences of cervical epithelial cells' lesions in different ethnics women.The flow-through hybridization and gene chip for HPV genotypes test, general characteristics, and cervical exfoliated cell samples were collected from 94 Uygur and 79 Han women with HPV-16 infection. The cases were divided into the single HPV-16 (sHPV-16) infection group and multiple HPV-16 (mHPV-16) infection group in each ethnic women. The DNA ploidy was analyzed by flow cytometry, and the methylation-sensitive high resolution melting (MS-HRM) was used to test the HPV-16 L1 gene methylation, the results of methylation was segmented into mild methylation, moderate methylation, and severe methylation groups. Multifactor logistic analysis explored the relation between DNA heteroploid and HPV-16 infection status, HPV-16 L1 gene methylation in different ethnic women.The higher proportion of mHPV-16 infection in Uygur than Han women (61.7% vs 38.0%). L1 gene methylation had statistic difference between single and mHPV-16 infection under the same ethnic women. The proportion of DNA heteroploid had statistic difference between different HPV-16 infection status or different L1 gene methylation grades in Han or Uygur women. Both L1 gene methylation and HPV infection status were the risk factors of DNA heteroploid. Compared to the sHPV-16 infection, the odds ratio (OR) of mHPV-16 infection were 4.409 (CI: 1.398-13.910) and 3.279 (CI: 1.069-10.060) in Han and Uygur women. Compared the mild L1 gene methylation, the OR of moderate L1 gene methylation were 3.313 (CI: 1.002-10.952) and 5.075 (CI: 1.385-18.603) in Han and Uygur women, the OR of severe L1 gene methylation were 20.592 (CI: 3.691-114.880) and 63.634 (CI: 10.400-389.368) in Han and Uygur women.The study first reported that HPV L1 gene methylation and HPV infection status were the risk factors to the DNA heteroploid of cervical cell in different ethnics women, HPV L1 gene methylation and infection status should be recommended to the existing system of cervical lesion screening in order to provide better serves for the HPV infected women, especially for the ethnic women with high proportion of severe L1 gene methylation and multiple infection status.

Biological implications and therapeutic significance of DNA methylation regulated genes in cervical cancer

Cervical cancer is the second most common cancer among women worldwide. About 528,000 women are diagnosed with cervical cancer contributing to around 266,000 deaths, across the globe every year. Out of these, the burden of 226,000 (85%) deaths occurs in the developing countries, who are less resource intensive to manage the disease. This is despite the fact that cervical cancer is amenable for early detection due to its long and relatively well-known natural history prior to its culmination as invasive disease. Infection with high risk human papillomavirus (hrHPVs) is essential but not sufficient to cause cervical cancer. Although it was thought that genetic mutations alone was sufficient to cause cervical cancer, the current epidemiological and molecular studies have shown that HPV infection along with genetic and epigenetic changes are frequently associated and essential for initiation, development and progression of the disease. Moreover, aberrant DNA methylation in host and HPV genome can be utilized not only as biomarkers for early detection, disease progression, diagnosis and prognosis of cervical cancer but also to design effective therapeutic strategies. In this review, we focus on recent studies on DNA methylation changes in cervical cancer and their potential role as biomarkers for early diagnosis, prognosis and targeted therapy.

High-resolution melting analysis of HPV-16L1 gene methylation: A promising method for prognosing cervical cancer

OBJECTIVE

Methylation-sensitive high-resolution melting (MS-HRM) is a new technique for DNA methylation analysis, but it is rarely used for the detection of viral DNA methylation. In this study, we investigated the HPV-16L1 gene methylation that is detected by MS-HRM as a potential biomarker for prognosing cervical dysplasia and cancer.

DESIGN AND METHODS

A total of 114 HPV-16 infected patients (normal (17), CIN1 (25), CIN2 (29), CIN3 (32), SCC (11)) who underwent liquid-based cytology test and biopsy were included in this study. 17 cases with HPV-16 infection and negative cytologic and histologic results served as the control group. The HPV-16L1 gene methylation statuses of these samples were investigated using a methylation-sensitive high-resolution melting (MS-HRM) assay after bisulfite modification.

RESULTS

The HPV-16L1 gene methylation statuses of all the 114 specimens were successfully detected by MS-HRM, and we observed increasing methylation levels in severe lesions, as determined using histologic assays. In addition, the methylation levels of CIN2+ (CIN2, CIN3 and SCC) were significantly higher than that of CIN2- (normal and CIN1, P<0.001). When taking CIN2+ as the reference, our HPV-16L1 DNA methylation assay achieved 91.7% sensitivity and 59.5% specificity, respectively.

CONCLUSIONS

The results of the present work demonstrated that HPV-16L1 gene methylation was closely associated with cervical precancerosis and cancer. Moreover, using MS-HRM to detect HPV-16L1 gene methylation may be a powerful assay for the triage of HPV-16-positive females, which could identify patients with high risk of invasive cancer.

Natural history of high-grade cervical intraepithelial neoplasia: a review of prognostic biomarkers

The natural history of high-grade cervical intraepithelial neoplasia (CIN) is largely unpredictable and current histopathological examination is unable to differentiate between lesions that will regress and those that will not. Therefore, most high-grade lesions are currently treated by surgical excision, leading to overtreatment and unnecessary complications. Prognostic biomarkers may differentiate between lesions that will regress and those that will not, making individualized treatment of high-grade CIN possible. This review identifies several promising prognostic biomarkers. These biomarkers include viral genotype and viral DNA methylation (viral factors), human leukocyte antigen-subtypes, markers of lymphoproliferative response, telomerase amplification and human papillomavirus-induced epigenetic effects (host factors) and Ki-67, p53 and pRb (cellular factors). All identified biomarkers were evaluated according to their role in the natural history of high-grade CIN and according to established criteria for evaluation of biomarkers (prospective-specimen-collection, retrospective-blinded-evaluation [PROBE] criteria). None of the biomarkers meets the PROBE criteria for clinical applicability and more research on prognostic biomarkers in high-grade CIN is necessary.

Tumour suppressor gene methylation and cervical cell folate concentration are determinants of high-risk human papillomavirus persistence: a nested case control study

Background

Persistent infection with one or more high-risk human papillomavirus [HR-HPV] types increases the risk of intraepithelial neoplasia and cervical cancer. A nested case–control study was conducted to investigate the importance of cervical cell folate concentration and tumour suppressor gene methylation as risk factors for HR-HPV persistence.

Methods

Cervical cell samples from 955 women with HR-HPV infection and normal, borderline or mild dyskaryosis were retrieved from the archive of a population-based screening trial. Women were classified as cases or controls, reflecting the presence or absence [respectively] of any HR-HPV infection at a follow-up clinic at least 6 months from baseline. Cervical cell folate concentration and promoter methylation of five tumour suppressor genes were measured in independent samples from cases and controls.

Results

A higher cervical cell folate concentration [P = 0.015] was an independent predictor of infection at follow-up, together with infection with HPV-16 or infection with multiple HR-HPV types. Methylation of the tumour suppressor gene DAPK was associated with a 2.64-fold [95% CI, 1.35-5.17] increased likelihood of HPV infection whilst CDH1 methylation was associated with a 0.53-fold [95% CI, 0.331-0.844] likelihood of HR-HPV infection at follow-up. When considering women with normal or abnormal cytology, the predictive effect of higher cervical cell folate was only seen in women with mild cytology [P = 0.021]; similarly the effect of DAPK methylation was seen in women with mild or borderline cytology [P < 0.05].

Conclusions

Higher cervical cell folate concentration and promoter methylation of the tumour suppressor gene, DAPK, in women with cervical cell dyskaryosis, are associated with increased risk of HR-HPV persistence.

Cancer diagnostic classifiers based on quantitative DNA methylation

Epigenetic change is part of the carcinogenic process and a deep reservoir for biomarker discovery. Reversible methylation of cytosines is noteworthy because it can be measured accurately and easily by various molecular methods and DNA methylation patterns are linked to important tumourigenic pathways. Clinically relevant methylation changes are known in common human cancers such as cervix, prostate, breast, colon, bladder, stomach and lung. Differential methylation may have a central role in the development and outcome of most if not all human malignancies. The advent of deep sequencing holds great promise for epigenomics, with bioinformatics tools ready to reveal large numbers of new targets for prognosis and therapeutic intervention. This review focuses on two selected cancers, namely cervix and prostate, which illustrate the more general themes of epigenetic diagnostics in cancer. Also discussed is differential methylation of specific human and viral DNA targets and laboratory methods for measuring methylation biomarkers.

Genome-wide methylation profiling reveals Zinc finger protein 516 (ZNF516) and FK-506-binding protein 6 (FKBP6) promoters frequently methylated in cervical neoplasia, associated with HPV status and ethnicity in a Chilean population

Cervical cancer is a major health concern among women in Latin America due to its high incidence and mortality. Therefore, the discovery of molecular markers for cervical cancer screening and triage is imperative. The aim of this study was to use a genome wide DNA methylation approach to identify novel methylation biomarkers in cervical cancer. DNA from normal cervical mucosa and cervical cancer tissue samples from Chile was enriched with Methylated DNA Immunoprecipitation (MeDIP), hybridized to oligonucleotide methylation microarrays and analyzed with a stringent bioinformatics pipeline to identify differentially methylated regions (DMRs) as candidate biomarkers. Quantitative Methylation Specific PCR (qMSP) was used to study promoter methylation of candidate DMRs in clinical samples from two independent cohorts. HPV detection and genotyping were performed by Reverse Line Blot analysis. Bioinformatics analysis revealed GGTLA4, FKBP6, ZNF516, SAP130, and INTS1 to be differentially methylated in cancer and normal tissues in the Discovery cohort. In the Validation cohort FKBP6 promoter methylation had 73% sensitivity and 80% specificity (AUC = 0.80). ZNF516 promoter methylation was the best biomarker, with both sensitivity and specificity of 90% (AUC = 0.92), results subsequently corroborated in a Prevalence cohort. Together, ZNF516 and FKBP6 exhibited a sensitivity of 84% and specificity of 81%, when considering both cohorts. Our genome wide DNA methylation assessment approach (MeDIP-chip) successfully identified novel biomarkers that differentiate between cervical cancer and normal samples, after adjusting for age and HPV status. These biomarkers need to be further explored in case-control and prospective cohorts to validate them as cervical cancer biomarkers.