Absence of an embryonic stem cell DNA methylation signature in human cancer

Abstract Background Differentiated cells that arise from stem cells in early development contain DNA methylation features that provide a memory trace of their fetal cell origin (FCO). The FCO signature was developed to estimate the proportion of cells in a mixture of cell types that are of fetal ori...

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Main Authors: Ze Zhang, John K. Wiencke, Devin C. Koestler, Lucas A. Salas, Brock C. Christensen, Karl T. Kelsey
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-019-5932-6
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spelling doaj-92864af323504df7b7f36e19ade0cbb02020-11-25T02:18:22ZengBMCBMC Cancer1471-24072019-07-0119111210.1186/s12885-019-5932-6Absence of an embryonic stem cell DNA methylation signature in human cancerZe Zhang0John K. Wiencke1Devin C. Koestler2Lucas A. Salas3Brock C. Christensen4Karl T. Kelsey5Department of Epidemiology, School of Public Health, Brown UniversityDepartment of Neurological Surgery, Institute for Human Genetics, University of California San FranciscoDepartment of Biostatistics, University of Kansas Medical CenterDepartment of Epidemiology, Geisel School of Medicine, Dartmouth CollegeDepartment of Epidemiology, Geisel School of Medicine, Dartmouth CollegeDepartment of Epidemiology, School of Public Health, Brown UniversityAbstract Background Differentiated cells that arise from stem cells in early development contain DNA methylation features that provide a memory trace of their fetal cell origin (FCO). The FCO signature was developed to estimate the proportion of cells in a mixture of cell types that are of fetal origin and are reminiscent of embryonic stem cell lineage. Here we implemented the FCO signature estimation method to compare the fraction of cells with the FCO signature in tumor tissues and their corresponding nontumor normal tissues. Methods We applied our FCO algorithm to discovery data sets obtained from The Cancer Genome Atlas (TCGA) and replication data sets obtained from the Gene Expression Omnibus (GEO) data repository. Wilcoxon rank sum tests, linear regression models with adjustments for potential confounders and non-parametric randomization-based tests were used to test the association of FCO proportion between tumor tissues and nontumor normal tissues. P-values of < 0.05 were considered statistically significant. Results Across 20 different tumor types we observed a consistently lower FCO signature in tumor tissues compared with nontumor normal tissues, with 18 observed to have significantly lower FCO fractions in tumor tissue (total n = 6,795 tumor, n = 922 nontumor, P < 0.05). We replicated our findings in 15 tumor types using data from independent subjects in 15 publicly available data sets (total n = 740 tumor, n = 424 nontumor, P < 0.05). Conclusions The results suggest that cancer development itself is substantially devoid of recapitulation of normal embryologic processes. Our results emphasize the distinction between DNA methylation in normal tightly regulated stem cell driven differentiation and cancer stem cell reprogramming that involves altered methylation in the service of great cell heterogeneity and plasticity.http://link.springer.com/article/10.1186/s12885-019-5932-6Human embryonic stem cellsCell differentiationDNA methylationCancer EpigenomicsBiomarkers
collection DOAJ
language English
format Article
sources DOAJ
author Ze Zhang
John K. Wiencke
Devin C. Koestler
Lucas A. Salas
Brock C. Christensen
Karl T. Kelsey
spellingShingle Ze Zhang
John K. Wiencke
Devin C. Koestler
Lucas A. Salas
Brock C. Christensen
Karl T. Kelsey
Absence of an embryonic stem cell DNA methylation signature in human cancer
BMC Cancer
Human embryonic stem cells
Cell differentiation
DNA methylation
Cancer Epigenomics
Biomarkers
author_facet Ze Zhang
John K. Wiencke
Devin C. Koestler
Lucas A. Salas
Brock C. Christensen
Karl T. Kelsey
author_sort Ze Zhang
title Absence of an embryonic stem cell DNA methylation signature in human cancer
title_short Absence of an embryonic stem cell DNA methylation signature in human cancer
title_full Absence of an embryonic stem cell DNA methylation signature in human cancer
title_fullStr Absence of an embryonic stem cell DNA methylation signature in human cancer
title_full_unstemmed Absence of an embryonic stem cell DNA methylation signature in human cancer
title_sort absence of an embryonic stem cell dna methylation signature in human cancer
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2019-07-01
description Abstract Background Differentiated cells that arise from stem cells in early development contain DNA methylation features that provide a memory trace of their fetal cell origin (FCO). The FCO signature was developed to estimate the proportion of cells in a mixture of cell types that are of fetal origin and are reminiscent of embryonic stem cell lineage. Here we implemented the FCO signature estimation method to compare the fraction of cells with the FCO signature in tumor tissues and their corresponding nontumor normal tissues. Methods We applied our FCO algorithm to discovery data sets obtained from The Cancer Genome Atlas (TCGA) and replication data sets obtained from the Gene Expression Omnibus (GEO) data repository. Wilcoxon rank sum tests, linear regression models with adjustments for potential confounders and non-parametric randomization-based tests were used to test the association of FCO proportion between tumor tissues and nontumor normal tissues. P-values of < 0.05 were considered statistically significant. Results Across 20 different tumor types we observed a consistently lower FCO signature in tumor tissues compared with nontumor normal tissues, with 18 observed to have significantly lower FCO fractions in tumor tissue (total n = 6,795 tumor, n = 922 nontumor, P < 0.05). We replicated our findings in 15 tumor types using data from independent subjects in 15 publicly available data sets (total n = 740 tumor, n = 424 nontumor, P < 0.05). Conclusions The results suggest that cancer development itself is substantially devoid of recapitulation of normal embryologic processes. Our results emphasize the distinction between DNA methylation in normal tightly regulated stem cell driven differentiation and cancer stem cell reprogramming that involves altered methylation in the service of great cell heterogeneity and plasticity.
topic Human embryonic stem cells
Cell differentiation
DNA methylation
Cancer Epigenomics
Biomarkers
url http://link.springer.com/article/10.1186/s12885-019-5932-6
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