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

• Published in: BMC cancer Vol. 19; no. 1; pp. 711 - 12
• Main Authors: Zhang, Ze, Wiencke, John K., Koestler, Devin C., Salas, Lucas A., Christensen, Brock C., Kelsey, Karl T.
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 19.07.2019; BioMed Central; BMC
• Subjects: Adult; Algorithms; Analysis; Biological markers; Biomarkers; Cancer; Cancer Epigenomics; Cancer genetics; Cancer research; Cell differentiation; Cell Plasticity; Cellular Reprogramming - genetics; CpG Islands; DNA; DNA methylation; DNA Methylation - genetics; Embryonic stem cells; Epigenesis, Genetic; Female; Gene expression; Genetic Heterogeneity; Genetic Loci; Genomes; Genomics; Human embryonic stem cells; Human Embryonic Stem Cells - metabolism; Humans; Linear Models; Male; Methylation; Neoplasms - genetics; Neoplasms - pathology; Neoplastic Stem Cells - metabolism; Pregnancy; Regression analysis; Statistics, Nonparametric; Stem cells; Transcriptome; Tumors; Human embryonic stem cells; Biomarkers; DNA methylation; Cancer Epigenomics; Cell differentiation
• ISSN: 1471-2407; 1471-2407
• DOI: 10.1186/s12885-019-5932-6

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. 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. 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). 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.