NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE129374 Query DataSets for GSE129374
Status Public on Aug 16, 2019
Title Genome-wide discovery and validation of diagnostic DNA methylation-based biomarkers for hepatocellular cancer detection in circulating cell free DNA
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary Background & Aims. Hepatocellular carcinoma (HCC), the most prevalent form of liver cancer, is growing in incidence but treatment options remain limited, particularly for late stage disease. As liver cirrhosis is the principal risk state for HCC development, markers to detect early HCC within this patient population are urgently needed. Perturbation of epigenetic marks, such as DNA methylation (5mC), is a hallmark of human cancers, including HCC. Identification of regions with consistently altered 5mC levels in circulating cell free DNA (cfDNA) during progression from cirrhosis to HCC could therefore serve as markers for development of minimally-invasive screens of early HCC diagnosis and surveillance.
Methods. To discover DNA methylation derived biomarkers of HCC in the background of liver cirrhosis, we profiled genome-wide 5mC landscapes in patient cfDNA using the Infinium HumanMethylation450k BeadChip Array. We further linked these findings to primary tissue data available from TCGA and other public sources. Using biological and statistical frameworks, we selected CpGs that robustly differentiated cirrhosis from HCC in primary tissue and cfDNA followed by validation in an additional independent cohort.
Results. We identified CpGs that segregate patients with cirrhosis, from patients with HCC within a cirrhotic liver background, through genome-wide analysis of cfDNA 5mC landscapes. Lasso regression analysis pinpointed a panel of probes in our discovery cohort that were validated in two independent datasets. A panel of five CpGs (cg04645914, cg06215569, cg23663760, cg13781744, and cg07610777) yielded AUROCs of 0.9525, 0.9714, and 0.9528 in cfDNA discovery and tissue validation cohorts 1 and 2, respectively.
Conclusions. 5mC markers derived from cfDNA robustly identify HCC within a cirrhotic liver background indicating that further validation is warranted. Our finding that 5mC markers derived from primary tissue did not perform well in cfDNA, compared to those identified directly from cfDNA, reveals potential advantages of starting with cfDNA to discover high performing markers for liquid biopsy development.
 
Overall design Infinium 450k profiling of cfDNA for DNA methylation-based biomarkers of HCC in cirrhotic patients
 
Contributor(s) Hlady RA, Robertson KD
Citation(s) 31695765
NIH grant(s)
Grant ID Grant title Affiliation Name
R01 AA027179 Epigenetic Heterogeneity as a Driver of Liver Disease and Cancer MAYO CLINIC Keith D Robertson
R01 DK110024 Epigenetic Mechanisms Underlying Hepatitis C-Induced Hepatocarcinogenesis MAYO CLINIC Keith D Robertson
Submission date Apr 05, 2019
Last update date Nov 15, 2019
Contact name Keith D Robertson
E-mail(s) robertson.keith@mayo.edu
Phone 507-266-4886
Organization name Mayo Clinic
Department Molecular Pharmacology & Experimental Therapeutics
Lab Epigenetic Etiology of Human Disease Laboratory
Street address 200 First Street SW, Stabile 12-70
City Rochester
State/province MN
ZIP/Postal code 55905
Country USA
 
Platforms (1)
GPL13534 Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Samples (44)
GSM3711985 cfDNA_6427323_Cirrhosis_alone
GSM3711986 cfDNA_8867406_Cirrhosis_alone
GSM3711987 cfDNA_7382358_Cirrhosis_with_HCC
Relations
BioProject PRJNA531089

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
GSE129374_RAW.tar 535.9 Mb (http)(custom) TAR (of IDAT)
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap