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Epigenetic Regulation

Epigenetic Regulation

Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.

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Related Experiment Video

Updated: May 27, 2025

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Epigenetic Signatures and Prognostic Biomarkers Analysis of Methylation-Driven Genes in Uterine Endometrial

Na Zhang¹, Wangshu Li², Fang Wang¹

¹Department of Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, China 750002.

Critical Reviews in Eukaryotic Gene Expression

|February 17, 2025

Summary

This summary is machine-generated.

Epigenetic changes in uterine corpus endometrial carcinoma (UCEC) impact gene expression and patient survival. Specific genes like PTX3 and TNK1 show prognostic value, offering potential biomarkers for UCEC diagnosis and treatment.

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Last Updated: May 27, 2025

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Methyl-binding DNA capture Sequencing for Patient Tissues

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LINE-1 Methylation Analysis in Mesenchymal Stem Cells Treated with Osteosarcoma-Derived Extracellular Vesicles

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Published on: February 1, 2020

Area of Science:

Genomics and Epigenetics
Oncology
Molecular Biology

Background:

Uterine corpus endometrial carcinoma (UCEC) is a common gynecological malignancy.
Understanding molecular mechanisms, including epigenetic modifications like DNA methylation, is crucial for UCEC diagnosis and treatment.
The role of DNA methylation in UCEC prognosis and treatment strategies is underexplored.

Purpose of the Study:

To analyze differential DNA methylation and gene expression patterns in UCEC.
To identify genes with methylation-driven expression changes relevant to UCEC pathogenesis.
To investigate the prognostic significance of selected genes in UCEC patients.

Main Methods:

Utilized The Cancer Genome Atlas (TCGA) datasets and bioinformatics tools.
Analyzed differential methylation and mRNA expression of six selected genes (TP53, PTEN, PTX3, TNK1, PPP2R1A, KLRG2).
Integrated DNA methylation and expression data using the MethylMix method; performed Kaplan-Meier survival analysis and pathway enrichment analysis.

Main Results:

Identified distinct differential expression and methylation patterns for the six genes in UCEC.
TP53, TNK1, PPP2R1A, and KLRG2 were upregulated, while PTX3 was downregulated in tumors; PTEN showed no significant change.
Expression of PTX3, TNK1, and KLRG1 significantly correlated with overall survival, with higher expression linked to poorer outcomes.

Conclusions:

DNA methylation and gene expression are significantly altered in UCEC, influencing pathogenesis.
Selected genes, particularly PTX3, TNK1, and KLRG1, show potential as prognostic biomarkers for UCEC.
Integrating epigenetic and transcriptomic data is vital for understanding UCEC and developing novel diagnostic and therapeutic strategies.