Exploring TSPAN4 promoter methylation as a diagnostic biomarker for tuberculosis

Background

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), is a persistent infectious disease threatening human health. The existing diagnostic methods still have significant shortcomings, including a low positivity rate in pathogen-based diagnoses and the inability of immunological diagnostics to detect active TB. Hence, it is urgent to develop new techniques to detect TB more accurate and earlier. This research aims to scrutinize and authenticate DNA methylation markers suitable for tuberculosis diagnosis. Concurrently, Providing a new approach for tuberculosis diagnosis.

Methods

Blood samples from patients with newly diagnosed tuberculosis and healthy controls (HC) were utilized in this study. Examining methylation microarray data from 40 whole blood samples (22TB + 18HC), we employed two procedures: signature gene methylated position analysis and signature region methylated position analysis to pinpoint distinctive methylated positions. Based on the screening results, diagnostic classifiers are constructed through machine learning, and validation was conducted through pyrosequencing in a separate queue (22TB + 18HC). Culminating in the development of a new tuberculosis diagnostic method via quantitative real-time methylation specific PCR (qMSP).

Results

The combination of the two procedures revealed a total of 10 methylated positions, all of which were located in the promoter region. These 10 signature methylated positions facilitated the construction of a diagnostic classifier, exhibiting robust diagnostic accuracy in both cross-validation and external test sets. The LDA model demonstrated the best classification performance, achieving an AUC of 0.83, specificity of 0.8, and sensitivity of 0.86 on the external test set. Furthermore, the validation of signature methylated positions through pyrosequencing demonstrated high agreement with screening outcomes. Additionally, qMSP detection of 2 potential hypomethylated positions (cg04552852 and cg12464638) exhibited promising results, yielding an AUC of 0.794, specificity of 0.720, and sensitivity of 0.816.

Conclusion

Our study demonstrates that the validated signature methylated positions through pyrosequencing emerge as plausible biomarkers for tuberculosis diagnosis. The specific methylation markers in the TSPAN4 gene, identified in whole blood samples, hold promise for improving tuberculosis diagnosis. This approach could significantly enhance diagnostic accuracy and speed, offering a new avenue for early detection and treatment.

Hypermethylation Loci of ZNF671, IRF8, and OTX1 as Potential Urine-Based Predictive Biomarkers for Bladder Cancer

Bladder cancer (BCa) is a significant health issue and poses a healthcare burden on patients, highlighting the importance of an effective detection method. Here, we developed a urine DNA methylation diagnostic panel for distinguishing between BCa and non-BCa. In the discovery stage, an analysis of the TCGA database was conducted to identify BCa-specific DNA hypermethylation markers. In the validation phase, DNA methylation levels of urine samples were measured with real-time quantitative methylation-specific PCR (qMSP). Comparative analysis of the methylation levels between BCa and non-BCa, along with the receiver operating characteristic (ROC) analyses with machine learning algorithms (logistic regression and decision tree methods) were conducted to develop practical diagnostic panels. The performance evaluation of the panel shows that the individual biomarkers of ZNF671, OTX1, and IRF8 achieved AUCs of 0.86, 0.82, and 0.81, respectively, while the combined yielded an AUC of 0.91. The diagnostic panel using the decision tree algorithm attained an accuracy, sensitivity, and specificity of 82.6%, 75.0%, and 90.9%, respectively. Our results show that the urine-based DNA methylation diagnostic panel provides a sensitive and specific method for detecting and stratifying BCa, showing promise as a standard test that could enhance the diagnosis and prognosis of BCa in clinical settings.

Lack of Methylation Changes in GJB2 and RB1 Non-coding Regions of Cochlear Implant Patients with Sensorineural Hearing Loss

Objective

Recent advances in epigenetic studies continue to reveal novel mechanisms of gene regulation and control, however little is known on the role of epigenetics in sensorineural hearing loss (SNHL) in humans. We aimed to investigate the methylation patterns of two regions, one in RB1 and another in GJB2 in Filipino patients with SNHL compared to hearing control individuals.

Methods

We investigated an RB1 promoter region that was previously identified as differentially methylated in children with SNHL and lead exposure. Additionally, we investigated a sequence in an enhancer-like region within GJB2 that contains four CpGs in close proximity. Bisulfite conversion was performed on salivary DNA samples from 15 children with SNHL and 45 unrelated ethnically-matched individuals. We then performed methylation-specific real-time PCR analysis (qMSP) using TaqMan® probes to determine percentage methylation of the two regions.

Results

Using qMSP, both our cases and controls had zero methylation at the targeted GJB2 and RB1 regions.

Conclusion

Our study showed no changes in methylation at the selected CpG regions in RB1 and GJB2 in the two comparison groups with or without SNHL. This may be due to a lack of environmental exposures to these target regions. Other epigenetic marks may be present around these regions as well as those of other HL-associated genes.

Hypermethylation of DNA Methylation Markers in Non-Cirrhotic Hepatocellular Carcinoma

Aberrant DNA methylation changes have been reported to be associated with carcinogenesis in cirrhotic HCC, but DNA methylation patterns for these non-cirrhotic HCC cases were not examined. Therefore, we sought to investigate DNA methylation changes on non-cirrhotic HCC using reported promising DNA methylation markers (DMMs), including HOXA1, CLEC11A, AK055957, and TSPYL5, on 146 liver tissues using quantitative methylation-specific PCR and methylated DNA sequencing. We observed a high frequency of aberrant methylation changes in the four DMMs through both techniques in non-cirrhotic HCC compared to cirrhosis, hepatitis, and benign lesions (p < 0.05), suggesting that hypermethylation of these DMMs is specific to non-cirrhotic HCC development. Also, the combination of the four DMMs exhibited 78% sensitivity at 80% specificity with an AUC of 0.85 in discriminating non-cirrhotic HCC from hepatitis and benign lesions. In addition, HOXA1 showed a higher aberrant methylation percentage in non-cirrhotic HCC compared to cirrhotic HCC (43.3% versus 13.3%, p = 0.039), which was confirmed using multivariate linear regression (p < 0.05). In summary, we identified aberrant hypermethylation changes in HOXA1, CLEC11A, AK055957, and TSPYL5 in non-cirrhotic HCC tissues compared to cirrhosis, hepatitis, and benign lesions, providing information that could be used as potentially detectable biomarkers for these unusual HCC cases in clinical practice.

A Comparison of MGMT Testing by MSP and qMSP in Paired Snap-Frozen and Formalin-Fixed Paraffin-Embedded Gliomas

Comparative analysis of the conventional methylation-specific PCR (MSP) vs. the quantitative MSP (qMSP) assessment of the O⁶-methylguanine-DNA methyltransferase (MGMT) promoter methylation status in 34 snap-frozen (SF) glioma samples was performed. The accuracy of the semi-quantitative MSP was compared with the corresponding qMSP semi-quantitative values using two semi-quantitative cut-off values (0-unmethylated and 1-weakly methylated) to discriminate methylated from unmethylated samples. In the case of the cut-off value 0, MSP test showed 80.0% sensitivity and 78.9% specificity compared to the reference qMSP analysis. However, when using the cut-off value 1, the diagnostic accuracy of the MSP test was significantly higher (85.7% sensitivity, 85.2% specificity). Fleiss' Kappa statistical analyses indicated moderate agreement (Fleiss' Kappa Coefficient = 0.509; 70.59% agreement) between MSP and qMSP semi-quantitative measurements of MGMT promoter methylation in glioma patients, justifying the conventional MSP use in diagnostics and confirming its high reliability. Further, we aimed to compare the validity of SF and formalin-fixed paraffin-embedded (FFPE) glioma samples for MGMT testing. Statistical analyses indicated moderate overall agreement of FFPE glioma samples and SF MSP semi-quantitative measurements (Fleiss' Kappa Coefficient = 0.516/0.509; 70.0% agreement) and emphasized their low reliability in the assessment of highly methylated MGMT promoter samples.

The Significance of MGMT Promoter Methylation Status in Diffuse Glioma

A single-institution observational study with 43 newly diagnosed diffuse gliomas defined the isocitrate dehydrogenase 1 and 2 (IDH1/2) gene mutation status and evaluated the prognostic relevance of the methylation status of the epigenetic marker O6-methylguanine-DNA methyltransferase (MGMT). Younger patients (<50 years) with surgically resected glioma and temozolomide (TMZ) adjuvant chemotherapy were associated with better prognosis, consistent with other studies. The methylation status depends on the chosen method and the cut-off value determination. Methylation-specific PCR (MSP) established the methylation status for 36 glioma patients (19 (52.8%) positively methylated and 17 (47.2%) unmethylated) without relevancy for the overall survival (OS) (p = 0.33). On the other side, real-time methylation-specific PCR (qMSP) revealed 23 tumor samples (54%) that were positively methylated without association with OS (p = 0.15). A combined MSP analysis, which included the homogenous cohort of 24 patients (>50 years with surgical resection and IDH1/2-wildtype diffuse glioma), distinguished 10 (41.6%) methylated samples from 14 (58.4%) unmethylated samples. Finally, significant correlation between OS and methylation status was noticed (p ≈ 0.05). The OS of the hypermethylated group was 9.6 ± 1.77 months, whereas the OS of the unmethylated group was 5.43 ± 1.04 months. Our study recognized the MGMT promoter methylation status as a positive prognostic factor within the described homogenous cohort, although further verification in a larger population of diffuse gliomas is required.

DYSF promotes monocyte activation in atherosclerotic cardiovascular disease as a DNA methylation-driven gene

Dysferlin (DYSF) has drawn much attention due to its involvement in dysferlinopathy and was reported to affect monocyte functions in recent studies. However, the role of DYSF in the pathogenesis of atherosclerotic cardiovascular diseases (ASCVD) and the regulation mechanism of DYSF expression have not been fully studied. In this study, Gene Expression Omnibus (GEO) database and epigenome-wide association study (EWAS) literatures were searched to find the DNA methylation-driven genes (including DYSF) of ASCVD. The hub genes related to DYSF were also identified through weighted correlation network analysis (WGCNA). Regulation of DYSF expression through its promoter methylation status was verified using peripheral blood leucocytes (PBLs) from ASCVD patients and normal controls, and experiments on THP1 cells and Apoe^-/- mice. Similarly, the expressions of DYSF related hub genes, mainly contained SELL, STAT3 and TMX1, were also validated. DYSF functions were then evaluated by phagocytosis, transwell and adhesion assays in DYSF knock-down and overexpressed THP1 cells. The results showed that DYSF promoter hypermethylation up-regulated its expression in clinical samples, THP1 cells and Apoe^-/- mice, confirming DYSF as a DNA methylation-driven gene. The combination of DYSF expression and methylation status in PBLs had a considerable prediction value for ASCVD. Besides, DYSF could enhance the phagocytosis, migration and adhesion ability of THP1 cells. Among DYSF related hub genes, SELL was proven to be the downstream target of DYSF by wet experiments. In conclusion, DYSF promoter hypermethylation upregulated its expression and promoted monocytes activation, which further participated in the pathogenesis of ASCVD.

Improved urine DNA methylation panel for early bladder cancer detection

BACKGROUND

Bladder cancer is one of the most common malignancies but the corresponding diagnostic methods are either invasive or limited in specificity and/or sensitivity. This study aimed to develop a urine-based methylation panel for bladder cancer detection by improving published panels and validate performance of the new panel with clinical samples.

METHODS

Related researches were reviewed and 19 potential panels were selected. RRBS was performed on a cohort with 45 samples to reassess these panels and a new panel inherited best markers was developed. The new panel was applied with qMSP platform to 33 samples from the RRBS cohort and the results were compared to those of RRBS. Lastly, another larger cohort with 207 samples was used to validate new panel performance with qMSP.

RESULTS

Three biomarkers (PCDH17, POU4F2 and PENK) were selected to construct a new panel P3. P3 panel achieved 100% specificity and 71% sensitivity with RRBS in corresponding cohort and then showed a better performance of 100% specificity and 84% sensitivity with qMSP platforms in a balanced cohort. When validated with 207-sample cohort, P3 with qMSP showed a performance of 97% specificity and 87% sensitivity which was modestly improved compared to the panels it derided from.

CONCLUSIONS

Overall, the P3 panel achieved relatively high sensitivity and accuracy in bladder cancer detection.

The values of AHCY and CBS promoter methylation on the diagnosis of cerebral infarction in Chinese Han population

BACKGROUND

The goal of our study is to investigate whether the methylation levels of AHCY and CBS promoters are related to the risk of cerebral infarction by detecting the methylation level of AHCY and CBS genes.

METHODS

We extracted peripheral venous blood from 152 patients with cerebral infarction and 152 gender- and age-matched healthy controls, and determined methylation levels of AHCY and CBS promoters using quantitative methylation-specific polymerase chain reaction. We used the percentage of methylation reference (PMR) to indicate gene methylation level.

RESULTS

We compared the promoter methylation levels of two genes (AHCY and CBS) in peripheral blood DNA between the cerebral infarction case group and the control group. Our study showed no significant difference in AHCY promoter methylation between case and control. Subgroup analysis by gender showed that the methylation level of AHCY in males in the case group was lower than that in the control group, but the difference was not statistically significant in females. In a subgroup analysis by age, there was no significant difference in the AHCY methylation level between the case and control in the young group (≤44 years old). However, the level of AHCY gene methylation in the middle-aged group (45-59 years old) was significantly higher and the aged group (≥60 years old) was significantly lower than that in the control groups. However, CBS promoter methylation levels were significantly lower in the case group than in the control group (median PMR: 70.20% vs 104.10%, P = 3.71E-10). In addition, the CBS methylation levels of males and females in the case group were significantly lower than those in the control group (male: 64.33% vs 105%, P = 2.667E-08; female: 78.05% vs 102.8%, P = 0.003). We also found that the CBS levels in the young (23-44), middle-aged (45-59), and older (60-90) groups were significantly lower than those in the control group (young group: 69.97% vs 114.71%; P = 0.015; middle-aged group: 56.04% vs 91.71%; P = 6.744E-06; older group: 81.6% vs 119.35%; P = 2.644E-04). Our ROC curve analysis of CBS hypomethylation showed an area under the curve of 0.713, a sensitivity of 67.4%, and a specificity of 74.0%.

CONCLUSION

Our study suggests that hypomethylation of the CBS promoter may be closely related to the risk of cerebral infarction and may be used as a non-invasive diagnostic biomarker for cerebral infarction.

High Detection Rate for Non-Muscle-Invasive Bladder Cancer Using an Approved DNA Methylation Signature Test

INTRODUCTION

Cystoscopy and transurethral resection are the current reference standard tests to diagnose and histologically confirm non-muscle-invasive bladder cancer (NMIBC). In other tumor entities (ie, colon carcinoma, cervical cancer), DNA methylation markers have been approved as diagnostic tests with high diagnostic power. In our case-control study, we used an approved molecular cervical cancer diagnostics test that includes 6 DNA methylation markers (GynTect) for the detection of bladder cancer.

PATIENTS AND METHODS

We included samples from 40 patients with bladder cancer and 34 control subjects. In a pilot study, we analyzed DNA methylation in 38 tumor tissues and 4 healthy ureters using methylation-specific polymerase chain reaction. Subsequently, we determined the sensitivity and specificity of the GynTect for the detection of bladder cancer in urine sediments from 40 patients with bladder cancer and 30 control subjects with benign prostatic hyperplasia or urolithiasis.

RESULTS

The markers showed very different methylation rates in the NMIBC tissues, ranging from 2.6% to 78.9%. No methylation of any of the markers was detectable in the healthy ureters. Using the urine sediments from the patients with cancer and control subjects, we found surprisingly high sensitivity and specificity for the GynTect assay (60% and 96.7%, respectively). The application of different algorithms for evaluation of the markers included in GynTect resulted in a sensitivity of ≤ 90% and specificity of ≤ 100%.

CONCLUSION

The GynTect assay, originally designed for cervical cancer diagnostics, showed unexpectedly high diagnostic accuracy for bladder cancer detection. The inclusion of additional methylation markers might allow for the development of a suitable diagnostic marker set based on the GynTect test for NMIBC diagnostics.

DNA Methylation Validation Methods: a Coherent Review with Practical Comparison

Here, we present a practical overview of four commonly used validation methods for DNA methylation assessment: methylation specific restriction endonucleases (MSRE) analysis, pyrosequencing, methylation specific high-resolution DNA melting (MS-HRM) and quantitative methylation specific polymerase chain reaction (qMSP). Using these methods, we measured DNA methylation levels of three loci in human genome among which one was highly methylated, one intermediately methylated and one unmethylated. We compared the methods in terms of primer design demands, methods' feasibility, accuracy, time and money consumption, and usability for clinical diagnostics. Pyrosequencing and MS-HRM proved to be the most convenient methods. Using pyrosequencing, it is possible to analyze every CpG in a chosen region. The price of the instrument may represent the main limitation of this methodology. MS-HRM is a simple PCR-based method. The measurement was quick, cheap and very accurate. MSRE analysis is based on a methylation specific digestion of DNA. It does not require a bisulfite conversion of DNA as the other methods. MSRE analysis was very easy to perform, however, it was not suitable for intermediately methylated regions and it was also quite expensive. qMSP is a qPCR-based method that uses primers designed specifically for methylated and unmethylated alleles of a chosen region. This was the least accurate method and also the primer design and optimization of PCR conditions were highly demanding.

Significant association between KDM1A promoter hypomethylation and colorectal cancer in Han Chinese

Lysine-specific histone demethylase 1A gene (KDM1A) promotes tumorigenesis. The aim of this study was to investigate the association between KDM1A methylation and colorectal cancer (CRC). Currently, we collected 37 paired CRC tissues and adjacent non-tumor tissues from Jiangsu province and 75 paired CRC tissues and adjacent non-tumor tissues from Zhejiang province to conduct a two-stage experiment to study the association between KDM1A methylation and CRC. We used qMSP to measure the KDM1A promoter methylation, and the percentage of methylation reference (PMR) to quantify the KDM1A promoter methylation level. To investigate the effect of the selected KDM1A fragment on gene expression regulation, we also performed a dual luciferase reporter gene assay. In the stage I study, the KDM1A promoter methylation level in CRC tumor tissues was significantly lower than that in adjacent non-tumor tissues (median PMR: 6.93% vs 10.25%, P =  0.033). The results of the stage II study were similar to those of the stage I study (mean PMR: 12.94% versus 17.42%, P =  0.016). In addition, a clinical pathology subgroup analysis found that KDM1A hypomethylation was associated with CRC only in patients with well-differentiated CRC (stage I: P =  0.047; stage II: P =  0.040). The dual luciferase reporter assay showed that the transcriptional activity of the recombinant pGL3-KDM1A plasmid was significantly higher (fold change = 2, P =  0.0009). In conclusion, our results suggest that KDM1A hypomethylation is significantly associated with CRC.

Methylation-Specific PCR

Cytosine methylation is a DNA modification generally associated with transcriptional silencing. Factors that regulate methylation have been linked to human disease, yet how they contribute to malignancies remains largely unknown. Methylation of DNA can change the functional state of regulatory regions, but does not change the Watson-Crick base pairing of cytosine. Moreover, sequence symmetry of CpGs enables propagation of the methyl mark through cell division. This potential for inheritance coupled with the fact that DNA methylation patterns change during development and disease partially explains the interest in DNA methylation as a memory module. DNA methylation analysis also provides an opportunity to discover new and more powerful biomarkers that can help in clinical practice.Methylation-Specific PCR (MSP) is likely the most widely used technique to study DNA methylation of a locus of interest. MSP can rapidly detect the methylation status of any group of CpG sites within a CpG island, not requiring methylation-sensitive restriction enzymes. It also requires minute amounts of DNA, is very sensitive as it can detect <0.1% of methylated alleles in a specific locus, and can be used in different samples, including bodily fluids, and paraffin-embedded samples.

An epigenetic biomarker combination of PCDH17 and POU4F2 detects bladder cancer accurately by methylation analyses of urine sediment DNA in Han Chinese

To develop a routine and effectual procedure of detecting bladder cancer (BlCa), an optimized combination of epigenetic biomarkers that work synergistically with high sensitivity and specificity is necessary. In this study, methylation levels of seven biomarkers (EOMES, GDF15, NID2, PCDH17, POU4F2, TCF21, and ZNF154) in 148 individuals—which including 58 urothelial cell carcinoma (UCC) patients, 20 infected urinary calculi (IUC) patients, 20 kidney cancer (KC) patients,20 prostate cancer (PC) patients, and 30 healthy volunteers (HV)—were quantified by qMSP using the urine sediment DNA. Receiver operating characteristic (ROC) curves were generated for each biomarker. The combining predictors of possible combinations were calculated through logistic regression model. Subsequently, ROC curves of the three best performing combinations were constructed. Then, we validated the three best performing combinations and POU4F2 in another 72 UCC, 21 IUC, 26 KC and 22 PC, and 23 HV urine samples. The combination of POU4F2/PCDH17 has yielded the highest sensitivity and specificity of 90.00% and 93.96% in all the 312 individuals, showing the capability of detecting BlCa effectively among pathologically varied sample groups.

Comparing the performance of FAM19A4 methylation analysis, cytology and HPV16/18 genotyping for the detection of cervical (pre)cancer in high-risk HPV-positive women of a gynecologic outpatient population (COMETH study)

Recently, DNA methylation analysis of FAM19A4 in cervical scrapes has been shown to adequately detect high-grade cervical intraepithelial neoplasia and cervical cancer (≥ CIN3) in high-risk HPV (hrHPV)-positive women. Here, we compared the clinical performance of FAM19A4 methylation analysis to cytology and HPV16/18 genotyping, separately and in combination, for ≥ CIN3 detection in hrHPV-positive women participating in a prospective observational multi-center cohort study. The study population comprised hrHPV-positive women aged 18-66 years, visiting a gynecological outpatient clinic. From these women, cervical scrapes and colposcopy-directed biopsies (for histological confirmation) were obtained. Cervical scrapes were analyzed for FAM19A4 gene promoter methylation, cytology and HPV16/18 genotyping. Methylation analysis was performed by quantitative methylation-specific PCR (qMSP). Sensitivities and specificities for ≥ CIN3 were compared between tests. Stratified analyses were performed for variables that potentially influence marker performance. Of all 508 hrHPV-positive women, the sensitivities for ≥ CIN3 of cytology, FAM19A4 methylation analysis, and cytology combined with HPV16/18 genotyping were 85.6, 75.6 and 92.2%, respectively, with corresponding specificities of 49.8, 71.1 and 29.4%, respectively. Both sensitivity and specificity of FAM19A4 methylation analysis were associated with age (p ≤ 0.001 each). In women ≥ 30 years (n = 287), ≥ CIN3 sensitivity of FAM19A4 methylation analysis was 88.3% (95%CI: 80.2-96.5) which was noninferior to that of cytology [85.5% (95%CI: 76.0-94.0)], at a significantly higher specificity [62.1% (95%CI: 55.8-68.4) compared to 47.6% (95%CI: 41.1-54.1)]. In conclusion, among hrHPV-positive women from an outpatient population aged ≥ 30 years, methylation analysis of FAM19A4 is an attractive marker for the identification of women with ≥ CIN3.

Methylation marker analysis of self-sampled cervico-vaginal lavage specimens to triage high-risk HPV-positive women for colposcopy

Methylation markers were studied for their suitability to triage human papillomavirus (HPV)-positive women by testing self-collected cervico-vaginal lavage specimens. For this purpose, we analyzed 355 hrHPV-positive self-collected specimens with three methylation markers, that is, CADM1-m18, MAL-m1 and miR-124-2 by quantitative methylation-specific PCR. The areas under the receiver-operating characteristic (ROC) curve for end-point cervical intraepithelial neoplasia grade 3 or worse (CIN3+) were 0.637 for CADM1-m18, 0.767 for MAL-m1 and 0.762 for miR-124-2. This indicates that CADM1-m18 is not suitable as single marker. By varying the thresholds of both markers in the bi-marker panels CADM1-m18/MAL-m1, CADM1-m18/miR-124-2 and MAL-m1/miR-124-2 upper and lower ROC curves were obtained, depicting the maximum and minimum CIN3+ sensitivity, respectively, at given specificity. For all these bi-marker combinations, the upper curves were similar. However, for the MAL-m1/miR-124-2 panel, the distance between upper and lower ROC curves was closest and this panel displayed the highest assay thresholds, indicating that this combination was most robust. At clinical specificities of 50 and 70%, the MAL-m1/miR-124-2 sensitivity for detection of CIN3+ ranged from 77.0 to 87.8% and from 64.9 to 71.6%, respectively. At 70% specificity thresholds no carcinomas were missed. By comparison, the CIN3+ sensitivity of HPV16/18 genotyping on the self-sampled lavage specimens was 58.1% (95%CI: 46.6-68.8) at a specificity of 87.7% (95%CI: 83.2-91.2). In conclusion, methylation analysis is a promising triage tool that in combination with HPV-DNA testing offers feasible, full molecular screening on self-collected cervico-vaginal lavage specimens.

Evaluation of the methylation profile of exfoliated cell samples from patients with head and neck squamous cell carcinoma

BACKGROUND

Silencing of tumor suppressor genes plays a vital role in head and neck carcinogenesis. The purposes of this study were to determine the methylation profile of exfoliated tumors cells collected from patients with head and neck squamous cell carcinoma (HNSCC) and to evaluate its prognostic significance.

METHODS

The methylation profile and level of a 20-gene panel were evaluated by quantitative methylation-specific polymerase chain reaction (qMSP) in exfoliated tumor cell samples from 96 patients with HNSCC.

RESULTS

CCNA1 (60.4%), DCC (54.2%), and TIMP3 (35.4%) were frequently methylated in these samples. Patients with exfoliated tumors cells positive for DCC methylation showed a trend toward a lower local recurrence-free survival.

CONCLUSION

These findings indicate that a low invasive method could be used to access the methylation profile of exfoliated cells from patients with HNSCC. Moreover, our data provide evidence that hypermethylation of DCC could be useful as prognostic indicator for this malignancy.