ID

45496

Description

Principal Investigator: Dr. Arul M. Chinnaiyan, MD,PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000597 Aberrant DNA methylation changes are known to occur during prostate cancer progression beginning with precursor lesions. Utilizing fifty nanograms of genomic DNA in Methylplex-Next Generation Sequencing (M-NGS) we mapped the global DNA methylation patterns in prostate tissues (n=17) and cells (n=2). Peaks were located from mapped reads obtained in each sequencing run using a Hidden Markov Model (HMM)-based algorithm previously used for Chip-Seq data analysis(http://www.sph.umich.edu/csg/qin/HPeak). The total methylation events in intergenic/intronic regions between benign adjacent and cancer tissues were comparable. Promoter CGI methylation gradually increased from -12.6% in benign samples to 19.3% and 21.8% in localized and metastatic cancer tissues and approximately 20% of all CpG islands (CGIs) (68,508) were methylated in tissues. We observed distinct patterns in promoter methylation around transcription start sites, where methylation occurred directly on the CGIs, flanking regions and on CGI sparse promoters. Among the 6,691 methylated promoters in prostate tissues, 2481 differentially methylated regions (DMRs) are cancer specific and several previously studied targets were among them. A novel cancer specific DMR in WFDC2 promoter showed 77% methylation in cancer (17/22), 100% methylation in transformed prostate cell lines (6/6), none in the benign tissues (0/10) and normal PrEC cells. Integration of LNCaP DNA methylation and H3K4me3 data suggested a role for DNA methylation in alternate transcription start site utilization. While methylated promoters containing CGIs had mutually exclusive H3K4me3 modification, the histone mark was absent in CGI sparse promoters. Finally, we observed difference in methylation of LINE-1 elements between transcription factor ERG positive and negative cancers. The comprehensive methylome map presented here will further our understanding of epigenetic regulation of the prostate cancer genome. Overall Design: We mapped the global DNA methylation patterns in prostate tissues (n=17) and cells (n=2) from fifty nanograms of genomic DNA using Methylplex-Next Generation Sequencing (M-NGS). For replicate analysis in cell lines, a total of 4 runs were completed for PrEC prostate normal cell line, and 5 runs were completed for LNCaP prostate cancer cell line. For tissue samples, 2 benign prostate samples were sequenced twice on Illumina next generation sequencing platform to access overall repeatability of M-NGS.

Link

dbGap study = phs000597

Keywords

  1. 11/14/22 11/14/22 - Dr. med. Lucy Kessler
  2. 12/13/22 12/13/22 - Kristina Keller
Copyright Holder

Dr. Arul M. Chinnaiyan, MD,PhD, University of Michigan, Ann Arbor, MI, USA

Uploaded on

December 13, 2022

DOI

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License

Creative Commons BY 4.0

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dbGaP phs000597 DNA Methylation Analysis of Prostate Cancer

Subject ID, age, sex, race, gene fusion status in ETS family of participants with or without prostate cancer and involved in the "DNA Methylation Analysis of Prostate Cancer Cell Lines and Tissues Using Next Generation Sequencing" project.

pht003201
Description

pht003201

Alias
UMLS CUI [1,1]
C3846158
De-identified subject ID
Description

SUBJID

Data type

string

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
Age of the subject
Description

age

Data type

text

Measurement units
  • years
Alias
UMLS CUI [1,1]
C0001779
years
Gender of subject
Description

sex

Data type

string

Alias
UMLS CUI [1,1]
C0079399
Race of subject
Description

race

Data type

string

Alias
UMLS CUI [1,1]
C0034510
Gene Fusion Status in ETS family
Description

ETS

Data type

string

Alias
UMLS CUI [1,1]
C1517513

Similar models

Subject ID, age, sex, race, gene fusion status in ETS family of participants with or without prostate cancer and involved in the "DNA Methylation Analysis of Prostate Cancer Cell Lines and Tissues Using Next Generation Sequencing" project.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht003201
C3846158 (UMLS CUI [1,1])
SUBJID
Item
De-identified subject ID
string
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
age
Item
Age of the subject
text
C0001779 (UMLS CUI [1,1])
sex
Item
Gender of subject
string
C0079399 (UMLS CUI [1,1])
race
Item
Race of subject
string
C0034510 (UMLS CUI [1,1])
ETS
Item
Gene Fusion Status in ETS family
string
C1517513 (UMLS CUI [1,1])

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