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Updated: Jul 20, 2025

Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors
Published on: August 5, 2022
A role for SETD2 loss in tumorigenesis through DNA methylation dysregulation
Hira Javaid1, Alessandro Barberis2, Olga Chervova3
1Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK.
Abstract:
SETD2-dependent H3 Lysine-36 trimethylation (H3K36me3) has been recently linked to the deposition of de-novo DNA methylation. SETD2 is frequently mutated in cancer, however, the functional impact of SETD2 loss and depletion on DNA methylation across cancer types and tumorigenesis is currently unknown. Here, we perform a pan-cancer analysis and show that both SETD2 mutation and reduced expression are associated with DNA methylation dysregulation across 21 out of the 24 cancer types tested. In renal cancer, these DNA methylation changes are associated with altered gene expression of oncogenes, tumour suppressors, and genes involved in neoplasm invasiveness, including TP53, FOXO1, and CDK4. This suggests a new role for SETD2 loss in tumorigenesis and cancer aggressiveness through DNA methylation dysregulation. Moreover, using a robust machine learning methodology, we develop and validate a 3-CpG methylation signature which is sufficient to predict SETD2 mutation status with high accuracy and correlates with patient prognosis.
Insights
Loss of SETD2, an enzyme regulating H3K36me3, disrupts DNA methylation in most cancers. This DNA methylation dysregulation impacts gene expression and cancer aggressiveness, suggesting a new role for SETD2 in tumorigenesis.
Area of Science:
- Epigenetics
- Cancer Biology
- Genomics
Background:
- SETD2 enzyme catalyzes H3K36me3, a histone modification linked to DNA methylation.
- SETD2 mutations are common in various cancers, but their impact on DNA methylation and tumorigenesis remains unclear.
Purpose of the Study:
- To investigate the functional consequences of SETD2 loss on DNA methylation across diverse cancer types.
- To explore the association between SETD2-dependent DNA methylation changes and cancer aggressiveness, particularly in renal cancer.
Main Methods:
- Pan-cancer analysis of SETD2 mutation and expression data alongside DNA methylation profiles.
- Correlation analysis of DNA methylation changes with gene expression, including oncogenes, tumor suppressors, and invasion-related genes.
- Machine learning approach to develop a DNA methylation signature for predicting SETD2 mutation status and patient prognosis.
Main Results:
- SETD2 mutation or reduced expression correlates with DNA methylation dysregulation in 21 of 24 cancer types.
- In renal cancer, altered DNA methylation due to SETD2 loss impacts expression of key genes like TP53, FOXO1, and CDK4, affecting neoplasm invasiveness.
- A 3-CpG methylation signature accurately predicts SETD2 mutation status and patient prognosis.
Conclusions:
- SETD2 loss contributes to tumorigenesis and cancer aggressiveness through DNA methylation dysregulation.
- SETD2-dependent epigenetic alterations represent a potential therapeutic target in cancer.
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