Genome-wide DNA methylation in cervical tissue
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE46306 | GEO | 2014/01/06
SECONDARY ACCESSION(S): PRJNA198713
REPOSITORIES: GEO
Similar Datasets
Project description:The aim of this study was to identify new candidate genes that are differentially methylated in squamous cell carcinoma compared to the DNA samples from cervical intraepithelial neoplasia grade 3 (CIN3) and normal cervical scrapes. The Illumina Infinium Human Methylation 450 K BeadChip method identifies genome-wide DNA methylation changes in CpG islands, CpG shores and shelves. In this study 20 normal cervical samples (HPV negative), 18 samples with CIN3 lesions (HPV positive) and 6 cervical cancer tissues (HPV positive) were included.
2014-01-06 | E-GEOD-46306 | biostudies-arrayexpress
Project description:Genome-wide DNA methylation profiles in liquid based cytology (LBC) cervical scrapes samples was assessed using the Illumina Infinium Methylation850 BeadChip V1.0B4. The purpose of this study was to identify new candidate genes that are differentially methylated in squamous cell carcinoma compared to the DNA samples from cervical intraepithelial neoplasia grade (CIN) and normal cervical scrapes.
2019-08-14 | GSE134772 | GEO
Project description:Using the pools of DNA from squamous cervical carcinomas (SCC) and DNA from normal scraping cells discovered the abnormal changes of genomic wide methylation by methylation BeadChip. The 61 genes were selected to validate by quantitative methylation specific PCR (qMSP) and bisulfite pyrosequencing in further processes. A CpG islands methylator phenotype (CIMP) was confirmed at 14 candidates in an independent set contained a spectrum of scraping cells form abnormal cervical lesions. In addition, we found among of 7 genes were announced to imply to potentially biological functions of β-catenin signal. A pool DNA collected from equal amount of DNA of 38 SCC, and the other pool collected from equal amount of DNA of 19 normal cervical scraping cells. Based on 40 percent of different methylation in two pools of samples, we selected 91 genes showed abnormal methylation in SCC. After the confirmation of gene restored expression in cervical cell lines, there 61 genes showed upregulation in the treatment with demethylating drug. In addition, gel based of MSP were contributed to confirm in a small size of samples, and quantitative MSP was contributed to validated in an independent set. The methylation status of qMSP was also confirmed by bisulfite pyrosequence. Finally, we selected 14 genes demonstrated clinical relevance in the high methylation of CIMP associated to a risk factor in cervical intraepithelial neoplasia grade 3 (CIN3) and worse lesions. isk factor in cervical intraepithelial neoplasia grade 3 (CIN3) and worse lesions.
2014-06-26 | E-GEOD-47351 | biostudies-arrayexpress
Project description:Women persistently infected with human papillomavirus (HPV) type 16 are at high risk for development of cervical intraepithelial neoplasia grade 3 or cervical cancer (CIN3+). We aimed to identify biomarkers for progression to CIN3+ in women with persistent HPV16 infection. In this prospective study, 11,088 women aged 20–29 years were enrolled during 1991-1993, and re-invited for a second visit two years later. Cervical cytology samples obtained at both visits were tested for HPV DNA by Hybrid Capture 2 (HC2), and HC2-positive samples were genotyped by INNO-LiPA. The cohort was followed for up to 19 years via a national pathology register. To identify markers for progression to CIN3+, we performed microarray analysis on RNA extracted from cervical swabs of 30 women with persistent HPV16-infection and 11 HPV-negative women. After further validation, we found that high mRNA expression levels of TMEM45A, SERPINB5 and p16INK4a were associated with increased risk of CIN3+ in persistently HPV16-infected women.
2016-01-01 | GSE75132 | GEO
Project description:Women persistently infected with human papillomavirus (HPV) type 16 are at high risk for development of cervical intraepithelial neoplasia grade 3 or cervical cancer (CIN3+). We aimed to identify biomarkers for progression to CIN3+ in women with persistent HPV16 infection. In this prospective study, 11,088 women aged 20â29 years were enrolled during 1991-1993, and re-invited for a second visit two years later. Cervical cytology samples obtained at both visits were tested for HPV DNA by Hybrid Capture 2 (HC2), and HC2-positive samples were genotyped by INNO-LiPA. The cohort was followed for up to 19 years via a national pathology register. To identify markers for progression to CIN3+, we performed microarray analysis on RNA extracted from cervical swabs of 30 women with persistent HPV16-infection and 11 HPV-negative women. After further validation, we found that high mRNA expression levels of TMEM45A, SERPINB5 and p16INK4a were associated with increased risk of CIN3+ in persistently HPV16-infected women. We aimed at identifying genes differentially expressed in women with persistent HPV16 infection that either progressed to CIN3+ or not. As a test of principle we first compared HPV16 persistently infected women with HPV-negative women.
2016-07-03 | E-GEOD-75132 | biostudies-arrayexpress
Project description:High-grade cervical intraepithelial neoplasia (CIN2/3) represents a heterogeneous disease both with respect to clinical behaviour and chromosomal aberrations detected. We hypothesized that the extent of chromosomal aberrations reflects the duration of their existence. Chromosomal profiles were determined of CIN3 of women with a known 5 year history of high-risk human papillomavirus virus (hrHPV) infection, in which duration of prior hrHPV infection was considered a proxy for duration of CIN3 existence. Eleven women had a <5 year preceding hrHPV infection (CIN3<5yrPHI) and 24 had a PHI lasting ≥5 years (CIN3≥5yrPHI). For comparison, 6 CIN3 adjacent to squamous cell carcinomas (CIN3-SCC), the corresponding SCCs, and 6 CIN1 were included. Unsupervised hierarchical clustering analysis of the chromosomal profiles revealed two clusters. One was characterized by a low number of chromosomal aberrations and included all CIN1, 81.8% of CIN3<5yrPHI and 33.3% of CIN3≥5yrPHI. Samples in the second cluster, displaying multiple aberrations, included 18.2% of CIN3<5yrPHI, 66.7% CIN3≥5yrPHI, all except one CIN3-SCC and all SCCs. The number of genomic aberrations increased according to lesion grade and also with longer duration of PHI. The increase in aberrations in CIN3≥5yrPHI compared to <5yrPHI was highly significant (p=0.001), suggesting that CIN3≥5yrPHI represent more severe lesions. A longer duration of preceding hrHPV infection is associated with an increased number of chromosomal aberrations. Hence, CIN3 with a longer duration of existence are likely more prone to have an increased short-term risk of cervical cancer.
2012-01-25 | GSE30155 | GEO
Project description:Background: Offering self-sampling of cervico-vaginal material for human papillomavirus (HPV) testing is an effective method to increase the coverage in cervical screening programmes. Molecular triage directly on HPV-positive self-samples for colposcopy referral opens the way to full molecular cervical screening. Here, we set out to identify a methylation classifier for detection of precancer (CIN3) or cancer, applicable to self-samples obtained by different devices. Findings: Genome-wide DNA methylation profiling of HPV-positive self-samples revealed 12 methylation targets for CIN3 detection. Multiplex quantitative methylation-specific PCR of these targets yielded a 3-gene methylation classifier (ASCL1, LHX8 and ST6GALNAC5), showing a very good clinical performance for CIN3 detection in both lavage (AUC=0.88; sensitivity=74%; specificity=79%) and brush (AUC=0.90; sensitivity=88%; specificity=81%) self-samples in the validation set. All self-samples from women with cervical cancer scored methylation-positive. Conclusion: By genome-wide DNA methylation profiling on self-samples, we identified a highly effective 3-gene methylation classifier for direct triage on self-samples from HPV-positive women.
2018-01-01 | GSE99511 | GEO
Project description:Offering self-sampling for HPV testing improves the effectiveness of current cervical screening programs. Molecular triage markers directly applicable on self-samples are needed to further stratify HPV-positive women at risk of cervical cancer (so-called triage) and to avoid over-referral and overtreatment. MicroRNAs (miRNAs) deregulation has been implicated in the development of cervical cancer, and represents a potential class of triage markers. However, it is unknown whether deregulated miRNA expression is reflected in self-samples. This study is the first to establish genome-wide miRNA profiles in HPV-positive self-samples to identify miRNAs that can predict the presence of CIN3 and cervical cancer in self-samples. Small RNA sequencing (sRNA-Seq) was conducted to determine genome-wide miRNA expression profiles in 73 HPV-positive self-samples of women with and without cervical precancer (CIN3). The optimal miRNA marker panel for CIN3 detection was determined by GRidge, a penalized method on logistic regression. Classification of sRNA-Seq data yielded a panel of 9 miRNAs with a combined Area Under the Curve (AUC) of 0.89 for CIN3 detection. Six out of nine miRNAs were validated by qPCR in 165 independent HPV-positive self-samples and resulted in a combined AUC of 0.72 for CIN3+ detection. This study shows that deregulated miRNA expression associated with CIN3 and cervical cancer development can be detected in HPV-positive self-samples using genome-wide miRNA profiling. Further validation by qPCR indicates that miRNA expression analysis offers a promising novel molecular triage strategy for CIN3 and cervical cancer detection applicable to self-samples.
2018-01-01 | GSE104758 | GEO
Project description:Epigenetic modifications, such as aberrant DNA promoter methylation is frequently observed in cervical cancer. Identification of hypermethylated regions maybe useful for discrimination between normal cervical epithelium and high-grade cervical intraepithelial neoplasia (CIN2/3) or worse may improve current cervical cancer population-based screening programs. In this study, the DNA methylome of high-grade CIN lesions were characterised using genome-wide methylation screening to identify potential biomarkers for early diagnosis of cervical neoplasia. Methyl-DNA Immunoprecipitation (MeDIP) combined with DNA microarray was used to compare DNA methylation profiles of epithelial cells derived from high-grade CIN lesions with normal cervical epithelium resulting in the identification of hypermethylated differentially methylated regions (DMRs). Validation of 9 selected DMRs by MSP or BSP in cervical tissue revealed methylation in 63.2-94.7% high-grade CIN and in 59.3-100% cervical carcinomas. QMSP for the two most significant high-grade CIN-specific methylation markers was applied exploring test performance in a large series of cervical scrapings. Frequency and relative level of methylation were significantly different between normal and cancer samples (p<0.001). Clinical validation of both markers in cervical scrapings from patients referred with an abnormal cervical smear, confirmed that frequency and relative level of methylation were related with increasing severity of the underlying CIN lesion (p<0.001) and the ROC analysis was discriminative (p<0.005). These possible methylation markers represent COL25A1 and KATNAL2 promoters and their observed increased methylation upon progression is in agreement with their biological function (cytoskeleton regulation). In conclusion, our newly identified hypermethylated DMRs represent specific DNA methylation patterns in high-grade CIN lesions and could be potential biomarkers for early detection. Epigenetic modifications, such as aberrant DNA promoter methylation is frequently observed in cervical cancer. Identification of hypermethylated regions maybe useful for discrimination between normal cervical epithelium and high-grade cervical intraepithelial neoplasia (CIN2/3) or worse may improve current cervical cancer population-based screening programs. In this study, the DNA methylome of high-grade CIN lesions were characterised using genome-wide methylation screening to identify potential biomarkers for early diagnosis of cervical neoplasia. Methyl-DNA Immunoprecipitation (MeDIP) combined with DNA microarray was used to compare DNA methylation profiles of epithelial cells derived from high-grade CIN lesions with normal cervical epithelium resulting in the identification of hypermethylated differentially methylated regions (DMRs). Validation of 9 selected DMRs by MSP or BSP in cervical tissue revealed methylation in 63.2-94.7% high-grade CIN and in 59.3-100% cervical carcinomas. QMSP for the two most significant high-grade CIN-specific methylation markers was applied exploring test performance in a large series of cervical scrapings. Frequency and relative level of methylation were significantly different between normal and cancer samples (p<0.001). Clinical validation of both markers in cervical scrapings from patients referred with an abnormal cervical smear, confirmed that frequency and relative level of methylation were related with increasing severity of the underlying CIN lesion (p<0.001) and the ROC analysis was discriminative (p<0.005). These possible methylation markers represent COL25A1 and KATNAL2 promoters and their observed increased methylation upon progression is in agreement with their biological function (cytoskeleton regulation). In conclusion, our newly identified hypermethylated DMRs represent specific DNA methylation patterns in high-grade CIN lesions and could be potential biomarkers for early detection. MeDIP with subsequent microarray analysis was performed on DNA isolated from frozen macrodissected epithelial tissue of CIN3 lesions (n=15) and normal cervices (n=10).
2012-11-01 | E-GEOD-36319 | biostudies-arrayexpress
Project description:Genome-wide DNA methylation analysis of cervical scrapes samples
| PRJNA556379 | ENA