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DNA methylation patterns separate senescence from malignant transformation potential in human cells

ABSTRACT: DNA methylation patterns separate senescence from malignant transformation potential in human cells

PROVIDER: PRJNA356777 | ENA |

REPOSITORIES: ENA

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DNA methylation patterns separate senescence from malignant transformation potential in human cells [methylation]

Project description:Replicative senescent cells reportedly share similar DNA methylation changes with cancer cells, which are purported to facilitate tumorigenesis in cells bypassing senescence. However, we now report biologically critical and distinct patterns of DNA methylation evolution between replicative and oncogene-induced senescence and transformation in a classic human cell transformation model. While overall DNA methylation losses and gains occur in both replicative senescent and transformed cells, the patterns evolve more programmatically for the former and stochastically for the latter. Oncogene-induced senescence is an acute process involving minimal changes to DNA methylation. The stochastic DNA methylation alterations in transformation mainly involve a set of pro-survival promoter CpG-island methylation events targeting genes controlling development and differentiation processes, while the senescence-specific promoter changes occur in genes involved in positive regulation of cellular biosynthesis and macromolecular metabolism. The above set of pro-survival promoter CpG-island hypermethylation events, but not the senescence-specific events, are prone to occur in primary tumors and aging tissues. Importantly, cells manifest senescence-specific epigenomic patterns very early during commitment to senescence, and while these “near-senescent” cells can be immortalized, they are refractory to transformation by H-Ras oncoprotein (H-rasV12). The senescence-specific methylation is retained during immortalization and transformation attempts, suggesting it does not function to promote tumorigenesis. Thus, abnormalities in cancer-related methylation has their origins in aging and not replicative senescence, and senescence-associated methylation potentially prevents malignant transformation.

2018-01-31 | GSE91069 | GEO

DNA methylation patterns separate senescence from malignant transformation potential in human cells [gene expression]

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DNA methylation patterns separate senescence from malignant transformation potential in human cells

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-01-31 | GSE91071 | GEO

Patterns of aberrant DNA methylation after toxicant-induced malignant transformation

Project description:This SuperSeries is composed of the following subset Series: GSE38926: Patterns of aberrant DNA methylation after toxicant-induced malignant transformation (MeDIP-chip dataset 1) GSE38928: Patterns of aberrant DNA methylation after toxicant-induced malignant transformation (MeDIP-chip dataset 2) GSE38929: Patterns of aberrant DNA methylation after toxicant-induced malignant transformation (miRNA dataset) Refer to individual Series

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DNA Methylation Patterns Separate Senescence from Transformation Potential and Indicate Cancer Risk.

Project description:Overall shared DNA methylation patterns between senescence (Sen) and cancers have led to the model that tumor-promoting epigenetic patterns arise through senescence. We show that transformation-associated methylation changes arise stochastically and independently of programmatic changes during senescence. Promoter hypermethylation events in transformation involve primarily pro-survival and developmental genes, similarly modified in primary tumors. Senescence-associated hypermethylation mainly involves metabolic regulators and appears early in proliferating "near-senescent" cells, which can be immortalized but are refractory to transformation. Importantly, a subset of transformation-associated hypermethylated developmental genes exhibits highest methylation gains at all age-associated cancer risk states across tissue types. These epigenetic changes favoring cell self-renewal and survival, arising during tissue aging, are fundamentally important for stratifying cancer risk and concepts for cancer prevention.

| S-EPMC5813821 | biostudies-literature

Patterns of aberrant DNA methylation after toxicant-induced malignant transformation (miRNA dataset)

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Patterns of aberrant DNA methylation after toxicant-induced malignant transformation (miRNA dataset)

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Gene expression changes associated with malignant transformation of oral potentially malignant disorders

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