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  5. A role for SETD2 loss in tumorigenesis through DNA methylation dysregulation.

A role for SETD2 loss in tumorigenesis through DNA methylation dysregulation.

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Resource type
Journal article
Creator (person)
Javaid, Hira
Barberis, Alessandro
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Chervova, Olga
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Nassiri, Isar
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Voloshin, Vitaly
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Sato, Yusuke
Ogawa, Seishi
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Fairfax, Benjamin
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Buffa, Francesca
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Humphrey, Timothy C.
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Date published
August 1, 2023
Abstract
SETD2-dependent H3 Lysine-36 trimethylation (H3K36me3) has been recently linked to the deposition of DNA methylation. is frequently mutated in cancer, however, the functional impact of 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 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 , and . This suggests a new role for 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 mutation status with high accuracy and correlates with patient prognosis.
Funder
Funder nameAwards
Clarendon Fund, United Kingdom
Cancer Research UK, United Kingdom
Project CBIG:23969
H2020 Excellent Science, European Union
Project ‘CETOCOEN Excellence’ (857560)
Wellcome Trust, United Kingdom
Intermediate Clinical Fellowship to B.P.F. (no. 201488/Z/16/Z)
Kyoto University, Japan
European Research Council, European Union
Project MICROC:772970
Medical Research Council, United Kingdom
MC_PC_12003
UK Research and Innovation, United Kingdom
Grant number: MC_PC_12003
Journal title
BMC Cancer
Volume
23
Article number
721
Publisher
Springer Science and Business Media LLC
Place of publication
Berlin/Heidelberg, Germany
eISSN
1471-2407
Date accepted
July 7, 2023
Official URL
https://doi.org/10.1186/s12885-023-11162-0
Rights statement
In Copyright
Licence
https://creativecommons.org/licenses/by/4.0/
DOI
10.1186/s12885-023-11162-0
Keywords
H3K36me3
SETD2
Renal cancer biomarker
Machine learning biomarker
DNA methylation
Additional information
IF = 4.638 (2022-2023)
Managed by the British Library and supported by the AHRC

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