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Series GSE99511 Query DataSets for GSE99511
Status Public on Jan 01, 2018
Title Identification and validation of a novel 3-gene methylation classifier for HPV-based cervical screening on self-samples
Organism Homo sapiens
Experiment type Methylation profiling by array
Summary 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.
 
Overall design 68 self-sampled cervico-vaginal specimens were analysed by Illumina Infinium HumanMethylation450 BeadChip. This series comprised 28 HPV-positive controls, 36 from women with a CIN3 (precancer) and 4 from women with cervical squamous cell carcinoma.
 
Contributor(s) Verlaat W, Snoek BC, Heideman DA, Wilting SM, Snijders PJ, Novianti PW, van Splunter AP, Peeters CF, van Trommel NE, Massuger LF, Bekkers RL, Melchers WJ, van Kemenade FJ, Berkhof J, van de Wiel MA, Meijer CJ, Steenbergen RD
Citation(s) 29632006
Submission date May 31, 2017
Last update date Jul 25, 2021
Contact name Daoud Sie
E-mail(s) d.sie@vumc.nl
Phone +31 20 4442428
Organization name Vrije Universiteit Medical Center
Department Pathology
Lab Microarray Core Facility
Street address De Boelelaan 1117
City Amsterdam
ZIP/Postal code 1081 HV
Country Netherlands
 
Platforms (1)
GPL13534 Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Samples (68)
GSM2644971 Normal_1
GSM2644972 Normal_2
GSM2644973 Normal_3
Relations
BioProject PRJNA388677

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE99511_RAW.tar 739.3 Mb (http)(custom) TAR (of IDAT)
Processed data included within Sample table

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