Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1126028 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Comparable plasma lipid changes in patients with high-grade cervical intraepithelial neoplasia and patients with cervical cancer
2020-10-22 | MSV000086351 | GNPS
Project description:Comparative analysis of gene expression prodfiles of cervical biopsy from two (2) patients with pre-invasive neoplastic lesions (carcinonma in citu, or high-grade cervical intraepithelial neoplasia) and 2 patients with earliest stage of invasive cancer
2018-12-22 | GSE124288 | GEO
Project description:Cervical cancer is characterized by a well-defined pre-malignant phase, cervical intraepithelial neoplasia (CIN). Identification of high grade CIN lesions by population-based screening programs and their subsequent treatment has led to a significant reduction of the incidence and mortality of cervical cancer. Cytology-based testing of cervical smears is the most widely used cervical cancer screening method, but is not ideal, as the sensitivity for detection of CIN2 and higher (CIN2+) is only ~55%. Therefore, more sensitive and specific biomarkers for cervical cancer and its precancerous stages are needed.
2018-05-03 | PXD008723 | Pride
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: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: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:Cervical mucus was collected from 86 patients with a normal cervix, cervical intraepithelial neoplasia (CIN), squamous cell carcinoma (SCC), or adenocarcinoma (AD). 76 candidates of miRNAs were selected according to criteria such as absolute value of the signal intensity included more than 20 and the ratio of the SCC/normal or AD/normal included more than four.
2018-05-09 | GSE105409 | GEO
Project description:Serum was collected from 63 patients of Group A with a normal cervix, cervical intraepithelial neoplasia (CIN), squamous cell carcinoma (SCC), or adenocarcinoma (AD) and 33 patients of Group B with a normal cervix or SCC. Three miRNAs (miR-16-5p, -223-3p and -451a) were commonly down-regulated in the Group A and the Group B.
2024-04-18 | GSE229935 | 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.
2012-11-01 | GSE36319 | GEO
Project description:Using RNA-sequencing analysis of peripheral blood cells from 11 cervical cancer patients, 21 cervical intraepithelial neoplasia patients and 19 healthy controls, we identified a group of differentially expressed genes. A real time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was applied to the validation of candidate markers in the blood of 115 patients and 46 healthy controls. The results suggest that a six-gene predictor set (GZMB, NDUFA1, GPR84, NUAK1, AGAP1 and CIR1) can be used as candidate genes for the detection of cervical cancer.
2018-10-02 | GSE120691 | GEO