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Series GSE33839 Query DataSets for GSE33839
Status Public on May 01, 2012
Title Identification of a novel set of DNA methylation markers in bladder cancer using MBD-methylCap/seq and urine DNA screening in a Chinese population
Organism Homo sapiens
Experiment type Methylation profiling by high throughput sequencing
Summary The aim of the present study was to identify novel DNA methylation markers in bladder cancer (BCa) through genome-wide profiling of bladder cancer cell lines and subsequent MSP screening in urine samples. Experimental Design: MBD methylCap/seq was carried out to screen differentially methylated CpG islands using two BCa cell lines (5637 and T24) and two normal bladder mucosa (BM) samples. The top one hundred most hypermethylated targets were screened using Methylation Specific PCR (MSP) in small and big cohort of urine samples from BCa patients and normal controls. The diagnostic performance of the gene panel was further evaluated in different clinical scenarios. Results: In total, 1,627 gene promoter regions hypermethylated in BCa cell line were identified in genomic level methylation profiling. The followed screening procedure in clinical urine sample generated eight genes (VAX1, KCNV1, ECEL1, TMEM26, TAL1, PROX1, SLC6A20, and LMX1A) capable of differentiating BCa from normal control. Subsequent validation in a large sample size enabled the optimisation of 5 methylation targets (VAX1, KCNV1, TAL1, PPOX1 and CFTR) for BCa diagnosis with sensitivity and specificity of 86.32% and 87.13%, respectively. In addition, VAX1 and LMX1A methylation could predict the tumour recurrence. Conclusions: Tumor specific biomarkers of BCa could be established by first performing genome level methylation profiling with cell lines and then screening the potential targets in urine samples. The panel of methylated genes identified was promising for the early non-invasive detection and surveillance of BCa.
 
Overall design MBD methylCap/seq was carried out to screen differentially methylated CpG islands using two BCa cell lines (5637 and T24), and two normal bladder tissue mix as control.
 
Contributor(s) Yu J, Zhao Y, Guo S
Citation(s) 22529986
Submission date Nov 21, 2011
Last update date May 15, 2019
Contact name jian yu
E-mail(s) gyujian@hotmail.com
Organization name Shanghai Cancer Institute
Department The State-key Laboratory for Oncogenes and Relatead Genes
Lab Cancer Epigenetics and Gene Therapy Program
Street address LN 2200/25, Xietu Road
City shanghai
ZIP/Postal code 200032
Country China
 
Platforms (1)
GPL9052 Illumina Genome Analyzer (Homo sapiens)
Samples (2)
GSM837618 Cancer_MBD_seq
GSM837619 Normals_MBD_seq
Relations
SRA SRP009396
BioProject PRJNA148095

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Supplementary file Size Download File type/resource
GSE33839_RAW.tar 233.9 Mb (http)(custom) TAR (of WIG)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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