Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CpG island methylation profile in non-invasive oral rinse samples is predictive of oral and pharyngeal carcinoma

ABSTRACT: Epigenome-wide association study (EWAS) of oral rinse samples from a case-control study of 154 cases and 72 controls. The Illumina Infinium HumanMethylation450 Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in oral rinse samples.

ORGANISM(S): Homo sapiens

PROVIDER: GSE70977 | GEO | 2016/07/13

SECONDARY ACCESSION(S): PRJNA290086

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Novel DNA methylation targets in oral rinse samples predict survival of patients with oral squamous cell carcinoma

Project description:Epigenome-wide association study (EWAS) of oral rinse samples from a cohort of 82 oral squamous cell carcinoma (OSCC) patients. The Illumina Infinium HumanMethylation450 Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in oral rinse samples. Bisulphite lsconverted DNA from the 82 oral rinse samples were hybridized to the Illumina Infinium HumanMethylation450 Beadchip

2014-11-25 | E-GEOD-52793 | biostudies-arrayexpress

Novel DNA methylation targets in oral rinse samples predict survival of patients with oral squamous cell carcinoma

2014-11-25 | GSE52793 | GEO

CpG island methylation profile in non-invasive oral rinse samples is predictive of oral and pharyngeal carcinoma.

Project description:There are currently no screening tests in routine use for oral and pharyngeal cancer beyond visual inspection and palpation, which are provided on an opportunistic basis, indicating a need for development of novel methods for early detection, particularly in high-risk populations. We sought to address this need through comprehensive interrogation of CpG island methylation in oral rinse samples.We used the Infinium HumanMethylation450 BeadArray to interrogate DNA methylation in oral rinse samples collected from 154 patients with incident oral or pharyngeal carcinoma prior to treatment and 72 cancer-free control subjects. Subjects were randomly allocated to either a training or a testing set. For each subject, average methylation was calculated for each CpG island represented on the array. We applied a semi-supervised recursively partitioned mixture model to the CpG island methylation data to identify a classifier for prediction of case status in the training set. We then applied the resultant classifier to the testing set for validation and to assess the predictive accuracy.We identified a methylation classifier comprised of 22 CpG islands, which predicted oral and pharyngeal carcinoma with a high degree of accuracy (AUC?=?0.92, 95 % CI 0.86, 0.98).This novel methylation panel is a strong predictor of oral and pharyngeal carcinoma case status in oral rinse samples and may have utility in early detection and post-treatment follow-up.

| S-EPMC4668652 | biostudies-literature

Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias

Project description:Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias Comparison of 10 samples from non-progressive leukoplakias (did not turn into oral squamous cell carcinoma), with 10 samples from progressive leukoplakias (turned into oral squamous cell carcinoma w/in 5 yrs)

2015-02-01 | E-GEOD-62809 | biostudies-arrayexpress

Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias

Project description:Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias

2015-02-01 | GSE62809 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (methylation)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured methylation of 42 OSCC tumors, 2 normal oral epithelial tissues, and 2 normal blood samples with Illumina HumanMethylation450 arrays

2013-01-01 | E-GEOD-41114 | biostudies-arrayexpress

DNA methylation in the malignant transformation of meningiomas

Project description:Genome wide DNA methylation profiling of malignant, atypical and benign meningiomas samples. The Illumina infinium HumanMethylation450 beadchip kit was used, which assayed 450,000 potential methylation sites.

2013-01-10 | GSE42882 | GEO

A gene signature in histologically normal surgical margins is predictive of oral carcinoma recurrence

Project description:Samples were prospectively collected from patients with histologically normal surgical resection margins. 96 tissue samples (histologically normal margins, oral carcinoma and adjacent normal tissues) from 24 patients comprised the training set. Our study design was guided by the hypothesis that the expression of genes present in oral squamous cell carcinoma (OSCC) but not in healthy oral tissues would be indicative of recurrence in advance of histological alteration. We used meta-analysis of five published microarray data sets (GEO accession GDS2520, Kuriakose et al. 2004; GDS1584, Toruner et al. 2004; GSE6791, Pyeon et al. 2007; GSE9844, Ye et al. 2008; and GSE10121, Sticht et al. 2008), in conjunction with the current training set, to identify genes reliably over-expressed in OSCC. This reduced gene set was used to train a risk model to predict recurrence based on over-expression of a subset of these genes in histologically normal surgical resection margins. Validation of the risk signature was performed using quantitative real-time reverse-transcription PCR in an independent set of 136 samples from an independent cohort of 30 patients.

2011-08-03 | GSE31056 | GEO

A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies

Project description:We developed a comprehensive analysis pipeline to conduct Epigenome-wide Association Studies (EWAS) using the Illumina Infinium HumanMethylation450 BeadChip, based on data from 2,664 individuals, and 36 samples measured in duplicate. We propose new approaches to quality control, data normalisation and batch correction through control-probe adjustment, and demonstrate that these improve data-quality. Using permutation testing we establish a null hypothesis for EWAS, show how it can be affected by correlation between individual methylation markers and present methods to restore statistical independence.

2015-01-22 | GSE55763 | GEO

A gene signature in histologically normal surgical margins is predictive of oral carcinoma recurrence

2011-08-02 | E-GEOD-31056 | biostudies-arrayexpress