RASSF1A Methylation Research Articles

RASSF1A methylation as a biomarker for detection of colorectal cancer and hepatocellular carcinoma.

BACKGROUNDStudies have validated the potential of methylated cell-free DNA as a biomarker in various tumors, and methylated DNA in plasma may be a potential biomarker for cancer.AIMTo evaluate the diagnostic value of RASSF1A methylation in plasma for colorectal cancer (CRC) and hepatocellular carcinoma (HCC). METHODSA total of 92 CRC patients, 67 colorectal polyp (CRP) patients, 63 HCC patients, and 66 liver cirrhosis (LC) patients were enrolled. The plasma DNA was subjected to DNA extraction, double-strand DNA concentration determination, bisulfite conversion, purification, single-strand DNA concentration determination, and digital polymerase chain reaction (PCR) detection. The methylation rate was calculated. The diagnostic value was evaluated by the area under the curve (AUC).RESULTSThe age and sex in the CRC and CRP groups and the HCC and LC groups were also matched. The DNA methylation rate of RASSF1A in plasma in the CRC group was 2.87 ± 1.80, and that in the CRP group was 1.50 ± 0.64. DNA methylation of RASSF1A in plasma showed a significant difference between the CRC and CRP groups. The AUC of RASSF1A methylation for discriminating the CRC and CRP groups was 0.82 (0.76-0.88). The AUCs of T1, T2, T3 and T4 CRC and CRP were 0.83 (0.72-0.95), 0.87 (0.78-0.95), 0.86 (0.77-0.95), and 0.75 (0.64-0.85), respectively. The DNA methylation rate of RASSF1A in plasma in the HCC group was 4.45 ± 2.93, and that in the LC group was 2.46 ± 2.07. DNA methylation of RASSF1A in plasma for the HCC and LC groups showed a significant difference. The AUC of RASSF1A methylation for discriminating the HCC and LC groups was 0.70 (0.60-0.79). The AUCs of T1, T2, T3 and T4 HCC and LC were 0.80 (0.61, 1.00), 0.74 (0.59-0.88), 0.60 (0.42-0.79), and 0.68 (0.53-0.82), respectively.CONCLUSIONRASSF1A methylation in plasma detected by digital PCR may be a potential biomarker for CRC and HCC.

Cromolyn chitosan nanoparticles reverse the DNA methylation of RASSF1A and p16 genes and mitigate DNMT1 and METTL3 expression in breast cancer cell line and tumor xenograft model in mice

BackgroundDeveloping epigenetic drugs for breast cancer (BC) remains a novel therapeutic approach. Cromolyn is a mast cell stabilizer emerging as an anticancer drug; its encapsulation in chitosan nanoparticles (CSNPs) improves its effect and bioavailability. However, its effect on DNA and RNA methylation machineries has not been previously tackled. MethodsThe possible anticancer effect of cromolyn CSNPs and its potential as an epigenetic drug was investigated in vitro using MCF-7 human BC cell line and in vivo using Ehrlich ascites carcinoma-xenograft model in mice symbolizing murine mammary adenocarcinoma. Mice were injected with a single dose of Ehrlich ascites carcinoma cells subcutaneously for the induction of tumor mass, and then randomized into three groups: control, cromolyn CSNPs (equivalent to 5 mg cromolyn/kg, i.p.) and plain CSNPs twice/week for 2 weeks. ResultsCromolyn CSNPs showed prominent anticancer effect in MCF-7 cells by reducing the cell viability percent and enhancing DNA damage in the comet assay demonstrating its apoptotic actions. Mechanistically, cromolyn CSNPs influenced potential epigenetic processes through mitigating DNA methyltransferase 1 (DNMT1) expression, reversing the hypermethylation pattern of the tumor suppressor RASSF1A and p16 genes and attenuating the expression of the RNA N6-methyladenosine writer, methyltransferase-like 3 (METTL3). Cromolyn CSNPs diminished ERK1/2 phosphorylation, a possible arm influencing DNMT1 expression. In vivo, cromolyn CSNPs lessened the tumor volume and halted DNMT1 and METTL3 expression in Ehrlich carcinoma mice. ConclusionsCromolyn CSNPs have the premise as an epigenetic drug through inhibiting ERK1/2 phosphorylation/DNMT1/DNA methylation and possibly impacting the RNA methylation machinery via mitigating METTL3 expression.

Methylation of PCDH17 and NEFH as prognostic biomarker for nonmetastatic RCC: A cohort study.

DNA methylation makes up a main part of the molecular mechanism of cancer evolution and has shown promising results in the prognosis of renal cell cancer (RCC). In this study, we investigated the possible association of promoter methylation of PCDH17, NEFH, RASSF1A, and FHIT, genes with the prognosis of nonmetastatic RCC patients. Cancerous and normal adjacent tissues from surgical specimens of 41 patients with long follow-up were treated for DNA isolation and bisulfite conversion. The gene promoter methylation was determined with quantitative methylation-specific PCR (qMSP). Wilcoxon signed-rank test was used for paired methylation comparisons, while univariate linear regression and Mann-Whitney test were applied for associating methylation status with clinical and disease characteristics. Cox regression proportional hazards models and Kaplan-Meier plots were used for survival analyses in reference to methylation status. Paired comparisons showed tissue-specific hypermethylation for PCDH17 (P < .001), NEFH (P < .001), RASSF1A (P = .032), while a positive association of methylation in normal tissues with age was demonstrated for PCDH17 (P < .001), RASSF1A (P < .001), FHIT (P < .001). PCDH17 was more methylated in cases with clear cell RCC (P = .015) and high-grade tumor (P = .013), while NEFH methylation was higher in locally advanced cases (P = .032). PCDH17 hypermethylation in cancerous and normal tissues was linked to shorter disease-specific survival (DSS, P = .026, P = .004), disease-free survival (DFS, P = .004, P = .019) while NEFH hypermethylation in cancerous tissues was related to shorter DSS (P = .032). Increased methylation difference of NEFH was also associated with shorter DSS (P = .041) and DFS (P = .020), while the corresponding parameter for PCDH17 was associated with poor DFS (P = .014). Kaplan-Meier curves for hypermethylation in cancer tissues demonstrated different clinical courses for PCDH17 (P = .017), NEFH (P = .023) regarding DSS, and PCDH17 (P = .001) regarding DFS. Our study not only highlights the prognostic value of promoter methylation of PCDH17 and NEFH in cancer tissues but also is the first report of the prognostic value of methylation alterations in normal tissues. Our findings are the first report of the prognostic value of methylation alterations in normal tissues, which can contribute to improved assessment of recurrence risk.

Evaluation of Methylation Panel in the Promoter Region of p16INK4a , RASSF1A, and MGMT as a Biomarker in Sputum for Lung Cancer.

Lung cancer is the most common cause of cancer death in the world. Effective early detection and appropriate medications can help treat this deadly cancer. Therefore, early detection of lung cancer is of utmost importance, especially in screening high-risk populations (such as smokers) with an urgent need to identify new biomarkers. The present study aimed to demonstrate the potential of using the panel of DNA methylation as a biomarker for the early diagnosis of lung cancer from sputum samples. The methylated promoter of p16INK4a , RASSF1A, and MGMT genes was estimated by the methylation-specific polymerase chain reaction in a sample of 84 lung cancer patients (65 smokers and 19 non-smokers). Based on the results, p16INK4a promoter methylation was significantly associated with smoking habit and lung cancer progression in terms of histological grading and patient staging. The sensitivity and specificity of the p16INK4a gene as a biomarker for lung cancer were 71% and 90%, respectively. The methylated promoter of RASSF1A was less sensitive (48%) as a biomarker for lung cancer with 83%. The results demonstrated a strong association between promoter methylation of RASSF1A and late stages of lung cancer (P=0.0007). The sensitivity of the MGMT gene as a biomarker for lung cancer was 61% with high specificity (92%), compared to other candidate genes in this study. The epigenetic alteration in the promoter region of p16INK4a , RASSF1A, and MGMT genes is highly associated with cancer cell development. It is suggested that the use of these candidate biomarkers can be used as an adjunct to computed tomography screening to diagnose patients at high risk for lung cancer after validation.

Correlation of RASSF1A gene methylation with gastric cancer and its clinical features: a meta-analysis

IntroductionThis study was to confirm the relationship between RASSF1A methylation and gastric cancer, and effects of gender, age, stage, differentiation, pathological type and metastasis of gastric cancer on RASSF1A methylation.Material and methodsThe database was searched for case-control studies of RASSF1A gene methylation associated with gastric cancer, and suitable literature was selected according to pre-defined inclusion and exclusion criteria. The quality of the included literature was evaluated, and finally forest plots and funnel plots were performed to analyse sensitivity and publication bias.ResultsFinally, 13 papers met the requirements and were included in this study. Meta-analysis showed that RASSF1A gene methylation was associated with gastric cancer (effect size[ES]=17.13,95% confidence interval[CI]= 6.94-27.32,P=0.001; P for heterogeneity=0.183, I2=25.8% ). Age (OR=0.67, 95% CI 0.47-0.95,P=0.025; P for heterogeneity=0.257, I2=22.5%), gastric cancer stage (OR=0.62, 95% CI 0.44-0.88,P=0.008; P for heterogeneity=0.615, I2=0%) and gastric cancer metastasis (OR=2.60, 95% CI 1.04-6.46,P=0.040; P for heterogeneity=0.904, I2=0%) had an effect on RASSF1A gene methylation. Gender (OR=1.16, 95% CI 0.84-1.62,P=0.369; P for heterogeneity=0.704, I2=0%),degree of gastric cancer differentiation (OR=0.96, 95% CI 0.60-1.52,P=0.860; P for heterogeneity=0.077, I2=47.3%) and pathological type of gastric cancer (OR=1.15, 95% CI 0.64-2.09,P=0.635; P for heterogeneity=0.276, I2=22.5%) on RASSF1A gene methylation No effect. No significant publication bias was found in this study.ConclusionsGastric carcinogenesis is associated with RASSF1A gene methylation. Age, gastric cancer stage and gastric cancer metastasis affect RASSF1A gene methylation. Gender, degree of gastric cancer differentiation and type of gastric cancer pathology do not affect RASSF1A gene methylation, which may be an important direction for gastric cancer treatment.

Correlation between RASSF1A Methylation in Cell-Free DNA and the Prognosis of Cancer Patients: A Systematic Review and Meta-Analysis.

Background Although the effects of methylation of the Ras association domain-containing protein 1 isoform A (RASSF1A) gene in cell-free DNA on the outcomes of patients with different types of cancer have been reported, the results are inconsistent. Objective: To explore the relationships between RASSF1A methylation in cell-free DNA and the outcomes of cancer patients. Methods The PubMed, Embase, and Web of Science databases were searched for papers related to this topic on December 8, 2021. The retrieved articles were screened by two independent researchers, following which the methodological quality of the selected studies was evaluated using the Newcastle-Ottawa Scale. Additionally, hazard ratios were calculated, and publication bias of the studies was determined using Egger's test. Results Nine relevant publications involving a combined total of 1254 patients with different types of cancer were included in this study. The combined results of the random effects models yielded a hazard ratio of 1.73 (95% confidence interval: 1.31, 2.29; P < 0.001), which suggested there was a significant association between RASSF1A methylation and overall survival, and patients with an RASSF1A methylation status had a significantly increased risk of total death. Moreover, the Egger test result suggested there was no significant publication bias among the included studies. Conclusions The methylation of RASSF1A in cell-free DNA in cancer patients was observably associated with an increased risk of poor overall survival.

Methylation analysis of APC, AXIN2, DACT1, RASSF1A and MGMT gene promoters in non-small cell lung cancer

Silencing of tumour-suppressor genes through promoter methylation is frequently observed in carcinogenesis. In this study, we determined the methylation status of RASSF1A, MGMT, APC, AXIN2 and DACT1 genes in 73 cases of non-small cell lung cancer. Methylation-sensitive high-resolution melting analysis (MS-HRM) was used to analyse the promoter methylation, which was further validated with Bisulfite pyrosequencing or Sanger sequencing. Promoter methylation of RASSF1A and APC was frequently found (56% and 49% of cases, respectively), while methylation of MGMT, AXIN2, DACT1 was observed in 30%, 19% and 16%, respectively. Concurrent gene methylation of at least two genes was observed in 55% of the examined cases, with a total of 89% of samples displaying methylation in one or more of the investigated genes. Further analysis of concurrent methylation revealed a positive correlation between AXIN2-DACT1 and an inverse correlation of APC-MGMT. Associations of methylated genes and clinicopathological features were emerged. In more detail, APC promoter methylation was correlated with smoking status (p= 0.020) and non-metastatic cases (p= 0.003). Moreover, MGMT methylation was preferentially found in TTF1-negative cases (p= 0.049). Interestingly, correlation occurred between AXIN2/DACT1 methylation and smoking status (p= 0.009) as well as tumour grade (p= 0.013), as none of these genes was methylated in the majority of smokers and one of the genes was methylated in high-grade tumours. We conclude that aberrant promoter methylation was observed in our cohort while concurrent methylation patterns were also determined. APC, MGMT and AXIN2/DACT1 methylation are potentially of clinical importance regarding prognosis and histological subtyping of NSCLC.

CpG site-specific methylation as epi-biomarkers for the prediction of health risk in PAHs-exposed populations

Environmental insults can lead to alteration in DNA methylation of specific genes. To address the role of altered DNA methylation in prediction of polycyclic aromatic hydrocarbons (PAHs) exposure-induced genetic damage, we recruited two populations, including diesel engine exhausts (low-level) and coke oven emissions (high-level) exposed subjects. The positive correlation was observed between the internal exposure marker (1-hydroxypyrene) and the extents of DNA damage (P < 0.05). The methylation of representative genes, including TRIM36, RASSF1a, and MGMT in peripheral blood lymphocytes was quantitatively examined by bisulfite-pyrosequencing assay. The DNA methylation of these three genes in response to PAHs exposure were changed in a CpG-site-specific manner. The identified hot CpG site-specific methylation of three genes exhibited higher predictive power for DNA damage than the respective single genes in both populations. Furthermore, the dose-response relationship analysis revealed a nonlinear U-shape curve of TRIM36 or RASSF1a methylation in combined population, which led to determination of the threshold of health risk. Furthermore, we established a prediction model for genetic damage based on the unidirectional-alteration MGMT methylation levels. In conclusion, this study provides new insight into the application of multiple epi-biomarkers for health risk assessment upon PAHs exposure.

Significance of promoter methylation of multiple tumor suppressor genes in hepatocellular carcinoma

BackgroundMethylation of the promoter at CpG islands is a mechanism of silencing tumor suppressor genes and therefore enhances cancer progression. The study aimed to examine promoter methylation frequencies of five tumor suppressor genes in hepatocellular carcinoma and their implication on the first-year outcome of surgical resection of the tumor. Fifty specimens of hepatocellular carcinoma and the adjacent non-tumorous liver tissue were collected from the surgically resected hepatic tumor. The status of promoter methylation of tumor suppressor genes RASSF1A, CHFR, MGMT, GSTP1, and hMLH1 was investigated using methylation-specific polymerase chain reaction.ResultsThe frequency of promoter methylation of these tumor suppressors genes (TSG) genes in hepatocellular carcinoma was significantly higher than non-tumorous tissue all, P < 0.05, with a methylation rate of 80% in RASSF1A, 70% in CHFR, 46% in GSTP1, 56% in MGMT, and 10% in hMLH1. Methylation of RASSF1A, CHFR, and MGMT promoter genes was significantly associated with decreased first-year postoperative survival and increased recurrence of hepatocellular carcinoma, P < 0.05.ConclusionMethylated RASSF1A, CHRF, and MGMT promoters indicated poor prognosis among patients with hepatocellular carcinoma and may serve as potential prognostic indicators in patients with hepatocellular carcinoma.

Dysregulated HIC1 and RassF1A expression in vitro alters the cell cytoskeleton and exosomal Piwi-interacting RNA

HIC1 and RassF1A methylation, which cause loss of gene function, are found in various cancers, including renal cell carcinoma (RCC), and could alter cell stiffness and the content of extracellular vesicles (EVs). These physiological changes may provide a tumoral survival advantage and thus could serve as cellular biomarkers for monitoring cell transformation, although direct associations between these changes and cell transformation remain to be established. As we found HIC1 and RassF1A methylation and expression changes in RCC samples, we examined the effects of gain and loss of HIC1 and RassF1A expression on cell DNA content, cytoskeletal structure, and Piwi-interacting RNA (piRNA) expression in EVs. We found HIC1 and RassF1A hypermethylation and abnormal expression in RCC patient samples was independent of the somatic mutations found in publicly available data. Cell stiffness was reduced in accordance with disrupted cytoskeleton conformation after knockdown of HIC1 or RassF1A. Gain or loss of HIC1 expression induced instability in genomic content, abnormal RassF1A expression disturbed cytoskeletal structure, and the abnormal expression of either gene altered piRNA content in EVs. These results suggest a causal relationship between abnormal tumor suppressor gene expression, cell stiffness, and piRNA expression.

Relevance of gene mutations and methylation to the growth of pancreatic intraductal papillary mucinous neoplasms based on pyrosequencing

We aimed to assess some of the potential genetic pathways for cancer development from non-malignant intraductal papillary mucinous neoplasm (IPMN) by evaluating genetic mutations and methylation. In total, 46 dissected regions in 33 IPMN cases were analyzed and compared between malignant-potential and benign cases, or between malignant-potential and benign tissue dissected regions including low-grade IPMN dissected regions accompanied by malignant-potential regions. Several gene mutations, gene methylations, and proteins were assessed by pyrosequencing and immunohistochemical analysis. RASSF1A methylation was more frequent in malignant-potential dissected regions (p = 0.0329). LINE-1 methylation was inversely correlated with GNAS mutation (r = − 0.3739, p = 0.0105). In cases with malignant-potential dissected regions, GNAS mutation was associated with less frequent perivascular invasion (p = 0.0128), perineural invasion (p = 0.0377), and lymph node metastasis (p = 0.0377) but significantly longer overall survival, compared to malignant-potential cases without GNAS mutation (p = 0.0419). The presence of concordant KRAS and GNAS mutations in the malignant-potential and benign dissected regions were more frequent among branch-duct IPMN cases than among the other types (p = 0.0319). Methylation of RASSF1A, CDKN2A, and LINE-1 and GNAS mutation may be relevant to cancer development, IPMN subtypes, and cancer prognosis.

RASSF1A and p16 promoter methylation and treatment response in chronic hepatitis C genotype 1b patients treated with pegylated interferon/ribavirin

Prevention of chronic hepatitis C (CHC) and its complications is based on antiviral therapy and early detection of reliable molecular markers in persons under risk. We investigated whether the methylation status of RASSF1A and p16 genes, alone or in combination with host and viral factors, affects the response to therapy with pegylated interferon/ribavirin (PEG-IFN/RBV). Methylation-specific polymerase chain reaction (MSP) was used to determine the methylation status of the target promoter sequences of RASSF1A and p16 in circulating-free DNA from the peripheral blood of 49 patients with CHC genotype 1b. The methylation status of the examined genes did not affect the response to therapy. However, the simultaneous presence of either RASSF1A or p16 methylation and the CC genotype of IL28B was significantly related to a sustained virologic response (P=0.009 and P=0.032, respectively). After Bonferroni correction, only the result concerning the RASSF1A gene remained significant (P&lt;0.0125). Methylation of RASSF1A was associated with the CC genotype of the IL28B gene (P=0.024) and a higher viral load (?400 000 IU/mL, P=0.009). Our results suggest that combined analysis of RASSF1A gene methylation and IL28B rs12979860 polymorphism could potentially help in the prediction of therapy response in CHC genotype 1b patients.

Diagnostic performance of RASSF1A and CDKN2A gene methylation versus α-fetoprotein in hepatocellular carcinoma.

This study aimed to evaluate the methylation status of two genes in the peripheral blood as possible non-invasive biomarkers for hepatocellular carcinoma (HCC) development in Egyptian patients with hepatitis C virus (HCV)-related liver cirrhosis, compare them with α-fetoprotein (AFP), and assess their relationship with the clinicopathological characteristics of the tumor. Thirty healthy volunteers, forty patients with HCC on top of HCV-associated liver cirrhosis, and forty patients with HCV-associated liver cirrhosis participated in this study. Using methylation-specific polymerase chain reaction (MSP), the methylation status of RASSF1A and CDKN2A was assessed. The tumor group was significantly more methylated in both genes than the cirrhosis and the control groups. The RASSF1A gene was highly methylated in advanced tumor characteristics. There was no association between AFP levels in the blood and the methylation state of both genes. The combined diagnostic performance of the methylation status of both genes in predicting HCC in cirrhotic patients was high but not to the degree of that of AFP. Methylated RASSF1A and CDKN2A levels in the blood may be employed as a non-invasive biomarker for the detection of HCC, especially in high-risk individuals.

Hypermethylation of the RASSF1A gene promoter as the tumor DNA marker for nasopharyngeal carcinoma.

RASSF1A is a tumor suppressor gene. The methylation of RASSF1A has been reported to be associated with nasopharyngeal tumorigenesis. However, the heterogeneity was high among different studies. A meta-analysis was performed to evaluate the value of RASSF1A methylation for the diagnosis and early screening of nasopharyngeal carcinoma. Relevant articles were identified by searching the MEDLINE database. Frequency and odds ratio (OR) were applied to estimate the effect of CDH-1 methylation based on random-/fixed-effect models. The meta-analysis was performed by using MedCalc® software. Subgroup analyses were performed by test method, ethnicity, and source of nasopharyngeal carcinoma samples to determine likely sources of heterogeneity. A total of 17 studies, including 1688 samples (1165 nasopharyngeal carcinoma samples, and 523 from non-cancerous samples) were used for the meta-analysis. The overall frequencies of RASSF1A methylation were 59.68% and 2.65% in case-group and control-group, respectively. By removing the poor relative studies, the heterogeneity was not observed among the studies included. The association between RASSF1A gene methylation and the risk of nasopharyngeal carcinoma was also confirmed by calculating the OR value of 30.32 (95%CI = 18.22-50.47) in the fixed-effect model (Q = 16.41, p = 0.36,I2 = 8.62, 95% CI = 0.00-45.27). Additionally, the significant association was also found between the methylation of the RASSF1A gene and the subgroups. This is the first meta-analysis that has provided scientific evidence that the methylation of RASSF1A is the potential diagnosis, prognosis, and early screening biomarker for nasopharyngeal carcinoma.

Increased Sensitivity of Detection of RASSF1A and GSTP1 DNA Fragments in Serum of Prostate Cancer Patients: Optimisation of Diagnostics Using OBBPA-ddPCR.

Simple SummaryProstate carcinoma (PCa) incidence rates have continued to increase over the last 3 decades worldwide and PCa is the most common cancer in men in Germany. Classical tumour markers exhibit unsatisfactory sensitivity and specificity, leading to unnecessary prostate biopsies and associated clinical complications. New, minimally invasive biomarkers with high sensitivity and specificity are required for an early diagnosis and a better prognosis. In the present study, we evaluated the performance of a previously developed analytical method to detect trace amounts of aberrant methylated tumour DNA. The optimised method which was developed in this study evaluates DNA methylation changes of RASSF1A and GSTP1 in the blood of PCa patients at different stages compared to benign prostatic hyperplasia patients and healthy individuals. RASSF1A methylation analysis was found to be beneficial as a complementary biomarker for PCa diagnosis in combination with classical PCa markers. Both RASSF1A and GSTP1 exhibited pathological DNA methylation levels in all metastatic PCa patients, which may improve early detection of PCa metastases and therapeutic outcomes.Identification of aberrant DNA methylation is a promising tool in prostate cancer (PCa) diagnosis and treatment. In this study, we evaluated a two-step method named optimised bias-based preamplification followed by digital PCR (OBBPA-dPCR). The method was used to identify promoter hypermethylation of 2 tumour suppressor genes RASSF1A and GSTP1 in the circulating cell-free DNA (cfDNA) from serum samples of PCa patients (n = 75), benign prostatic hyperplasia (BPH, n = 58), and healthy individuals (controls, n = 155). The PCa cohort was further subdivided into subgroups comprising (I) patients with Gleason Scores (GS) ≤ 7 (n = 55), (II) GS ≥ 8 (n = 10), and (III) patients with metastatic PCa diagnosis (n = 10). We found that RASSF1A methylation levels were significantly increased in all 3 PCa subgroups compared to the controls and BPH cohorts (p < 0.01 for all comparisons). Fractional abundances of methylated GSTP1 DNA fragments were significantly increased in subgroup III of metastatic PCa patients (p < 0.001). RASSF1A methylation analysis was found to be beneficial as a complementary biomarker where further diagnostic validation is most crucial. In combination with free PSA, RASSF1A methylation status helps to identify PCa patients with GS ≥ 8 and grey-zone total PSA values between 2–10 ng/mL. In our study, PCR biases between 80–90% were sufficient to detect minute amounts of tumour DNA with high signal-to-noise ratios as well as high analytical sensitivity and specificity. Both RASSF1A and GSTP1 exhibited strongly increased DNA methylation levels in all metastatic PCa patients. Our data indicates a superior sensitivity of epigenetic biomarker analyses in early detection of PCa metastases that should also help to improve PCa therapy.

Intratumor Epigenetic Heterogeneity-A Panel Gene Methylation Study in Thyroid Cancer.

BackgroundThyroid cancer (TC) is the most common endocrine malignancy, and the incidence is increasing very fast. Surgical resection and radioactive iodine ablation are major therapeutic methods, however, around 10% of differentiated thyroid cancer and all anaplastic thyroid carcinoma (ATC) are failed. Comprehensive understanding the molecular mechanisms may provide new therapeutic strategies for thyroid cancer. Even though genetic heterogeneity is rigorously studied in various cancers, epigenetic heterogeneity in human cancer remains unclear.MethodsA total of 405 surgical resected thyroid cancer samples were employed (three spatially isolated specimens were obtained from different regions of the same tumor). Twenty-four genes were selected for methylation screening, and frequently methylated genes in thyroid cancer were used for further validation. Methylation specific PCR (MSP) approach was employed to detect the gene promoter region methylation.ResultsFive genes (AP2, CDH1, DACT2, HIN1, and RASSF1A) are found frequently methylated (>30%) in thyroid cancer. The five genes panel is used for further epigenetic heterogeneity analysis. AP2 methylation is associated with gender (P < 0.05), DACT2 methylation is associated with age, gender and tumor size (all P < 0.05), HIN1 methylation is associated to tumor size (P < 0.05) and extra-thyroidal extension (P < 0.01). RASSF1A methylation is associated with lymph node metastasis (P < 0.01). For heterogeneity analysis, AP2 methylation heterogeneity is associated with tumor size (P < 0.01), CDH1 methylation heterogeneity is associated with lymph node metastasis (P < 0.05), DACT2 methylation heterogeneity is associated with tumor size (P < 0.01), HIN1 methylation heterogeneity is associated with tumor size and extra-thyroidal extension (all P < 0.01). The multivariable analysis suggested that the risk of lymph node metastasis is 2.5 times in CDH1 heterogeneous methylation group (OR = 2.512, 95% CI 1.135, 5.557, P = 0.023). The risk of extra-thyroidal extension is almost 3 times in HIN1 heterogeneous methylation group (OR = 2.607, 95% CI 1.138, 5.971, P = 0.023).ConclusionFive of twenty-four genes were found frequently methylated in human thyroid cancer. Based on 5 genes panel analysis, epigenetic heterogeneity is an universal event. Epigenetic heterogeneity is associated with cancer development and progression.

Methylation status of eight tumor suppressors in neuroendocrine pancreatic tumors.

e16197 Background: Aberrant DNA methylation is a characteristic feature of cancer, affecting gene expression and tumor phenotype. In this study, we quantified the methylation of promoters of eight tumor suppressor genes in pancreatic neuroendocrine tumors (Pan-NET). Methods: The method of pyrosequencing was used to quantity level (Met,%) of methylation of gene promoters - tumor suppressors AHRR, APC1A, DAPK, MGMT, MLH1, P16, RASSF1A, RUNX3 in tumor samples from 55 patients with pancreatic NET (G1-G3) and in the blood of 10 healthy donors. Met for each sample was calculated as the median methylation of CpG sites in triplicate. Results: Hypermethylation was observed for AHRR (75%), APC1A (25%), RASSF1A (30%). In contrast, DAPK, MGMT, MLH1, P16, RUNX3 had low methylation levels ( &lt; 20%). The median of methylation in the blood of healthy donors for AHRR was 91% (76-98); for all other loci it did not exceed 6%. A high incidence of methylation in excess of blood levels in healthy donors was identified for RASSF1A (0.96); AHRR (0.75); MGMT (0.65); RUNX3 (0.41), APC1A (0.25). For tumor suppressor P16, only one case of increased methylation was recorded (Met = 15%), despite the fact that this phenomenon is not uncommon for NETs of other localizations. In 66% of pancreatic NET cases, hypermethylation of more than two promoters of tumor suppressor genes was noted. An association tendency was found between the presence of MEN1 mutations and the RASSF1A methylation level (p = 0.08). Correlation analysis revealed a significant level of negative association between changes in methylation of MLH1 and AHRR (p &lt; 0.01); for the latter, the prognostic value of a high methylation status and a better prognosis for many malignant neoplasms were described. Conclusions: In the present study, significant methylation of the promoters of the APC1A, DAPK, MGMT, RASSF1A, and RUNX3 genes in well-differentiated pancreatic NETs was identified with a high frequency. At the same time, isolated cases of hypermethylation were noted for the well-known tumor suppressors MLH1 and P16.

Development of a prognostic risk model for clear cell renal cell carcinoma by systematic evaluation of DNA methylation markers

BackgroundCurrent risk models for renal cell carcinoma (RCC) based on clinicopathological factors are sub-optimal in accurately identifying high-risk patients. Here, we perform a head-to-head comparison of previously published DNA methylation markers and propose a potential prognostic model for clear cell RCC (ccRCC).Patients and methodsPromoter methylation of PCDH8, BNC1, SCUBE3, GREM1, LAD1, NEFH, RASSF1A, GATA5, SFRP1, CDO1, and NEURL was determined by nested methylation-specific PCR. To identify clinically relevant methylated regions, The Cancer Genome Atlas (TCGA) was used to guide primer design. Formalin-fixed paraffin-embedded (FFPE) tissue samples from 336 non-metastatic ccRCC patients from the prospective Netherlands Cohort Study (NLCS) were used to develop a Cox proportional hazards model using stepwise backward elimination and bootstrapping to correct for optimism. For validation purposes, FFPE ccRCC tissue of 64 patients from the University Hospitals Leuven and a series of 232 cases from The Cancer Genome Atlas (TCGA) were used.ResultsMethylation of GREM1, GATA5, LAD1, NEFH, NEURL, and SFRP1 was associated with poor ccRCC-specific survival, independent of age, sex, tumor size, TNM stage or tumor grade. Moreover, the association between GREM1, NEFH, and NEURL methylation and outcome was shown to be dependent on the genomic region. A prognostic biomarker model containing GREM1, GATA5, LAD1, NEFH and NEURL methylation in combination with clinicopathological characteristics, performed better compared to the model with clinicopathological characteristics only (clinical model), in both the NLCS and the validation population with a c-statistic of 0.71 versus 0.65 and a c-statistic of 0.95 versus 0.86 consecutively. However, the biomarker model had limited added prognostic value in the TCGA series with a c-statistic of 0.76 versus 0.75 for the clinical model.ConclusionIn this study we performed a head-to-head comparison of potential prognostic methylation markers for ccRCC using a novel approach to guide primers design which utilizes the optimal location for measuring DNA methylation. Using this approach, we identified five methylation markers that potentially show prognostic value in addition to currently known clinicopathological factors.

Prognostic Significance of Gene Expression and DNA Methylation Markers in Circulating Tumor Cells and Paired Plasma Derived Exosomes in Metastatic Castration Resistant Prostate Cancer

Simple Summary“Liquid biopsy”, based on the analysis of circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), provides non-invasive real-time monitoring of tumor evolution and therapeutic efficacy. We performed for the first time a direct comparison study on gene expression and DNA methylation markers in CTCs and paired plasma-derived exosomes and evaluated their prognostic significance in metastatic castration resistant prostate cancer. Our results revealed for the first time a significantly higher positivity of all markers in EpCAM-positive CTCs compared to plasma-derived exosomes. We report that in EpCAM-positive CTCs, CK-19, PSMA, TWIST1 expression and GSTP1 methylation are significantly correlated with worse overall survival (OS), while in exosomes, CK-8 expression and GSTP1 and RASSF1A methylation status were significantly correlated with a lower OS. We also enumerated CTC and tumor-derived extracellular vesicles (tdEVs) using CellSearch (CS) and found a correlation between the CTC and tumor-derived extracellular vesicles (tdEVs) enumeration values.Liquid biopsy, based on the analysis of circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), provides non-invasive real-time monitoring of tumor evolution and therapeutic efficacy. We performed for the first time a direct comparison study on gene expression and DNA methylation markers in CTCs and paired plasma-derived exosomes and evaluated their prognostic significance in metastatic castration resistant prostate cancer. This prospective liquid biopsy (LB) study was based on a group of 62 metastatic castration resistant prostate cancer (mCRPC) patients and 10 healthy donors (HD) as controls. Identical blood draws were used to: (a) enumerate CTC and tumor-derived extracellular vesicles (tdEVs) using CellSearch (CS) and (b) analyze CTCs and paired plasma-derived exosomes at the gene expression and DNA methylation level. CTCs were enumerated using CellSearch in 57/62 patients, with values ranging from 5 to 854 cells/7.5 mL PB. Our results revealed for the first time a significantly higher positivity of gene expression markers (CK-8, CK-18, TWIST1, PSMA, AR-FL, AR-V7, AR-567 and PD-L1 mRNA) in EpCAM-positive CTCs compared to plasma-derived exosomes. GSTP1, RASSF1A and SCHLAFEN were methylated both in CTC and exosomes. In CTCs, Kaplan–Meier analysis revealed that CK-19 (p = 0.009), PSMA (p = 0.001), TWIST1 (p = 0.001) expression and GSTP1 (p = 0.001) methylation were correlated with OS, while in exosomes GSTP1 (p = 0.007) and RASSF1A (p = 0.001) methylation was correlated with OS. Our direct comparison study of CTCs and exosomes at gene expression and DNA methylation level, revealed for the first time a significantly higher positivity in EpCAM-positive CTCs compared to plasma-derived exosomes. Future perspective of this study should be the evaluation of clinical utility of molecular biomarkers in CTCs and exosomes on independent multicentric cohorts with mCRPC patients.

Dynamic Changes of Fetal-Derived Hypermethylated RASSF1A and Septin 9 Sequences in Maternal Plasma.

DNA methylation has a tissue-specific feature, and placenta has distinct methylation patterns from peripheral blood cells. Although fetal/placental-derived cell free DNA (cfDNA) in the maternal blood has been reported in recent decades, systematic exploration of dynamic changes of the placental epigenetic signatures across gestation is lacking. The primary goal of this study was to characterize prenatal and postnatal methylation levels of placental-sourced RASSF1A and Septin 9 sequences in maternal plasma. Here, we used a quantitative methylation-sensitive PCR (qMS-PCR) assay to check the methylation status of RASSF1A and Septin 9 in placental tissues of pregnant women and plasma samples from non-pregnant individuals. Then, we examined the methylation levels of the two targets in maternal plasma from expectant women at different gestational ages and postdelivery. Hypermethylated RASSF1A and Septin 9 were identified in placental samples but undetectable in peripheral blood of healthy non-pregnant women. Further, hypermethylated RASSF1A sequence was found in all three trimesters of pregnancy except for early gestation (8weeks). Moreover, methylation scores of the two targets increased as pregnancy progressed. In addition, hypermethylated RASSF1A sequence was detectable in maternal plasma from 12h (one case) to 24h postdelivery (three cases) in 18 pregnant women. Our data on the variation of fetal-sourced methylated RASSF1A levels in maternal plasma in relation to gestational age provide a useful basis for improving the reliability of the methylation assay for non-invasive prenatal diagnosis (NIPD) in clinical practice.