Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism

Altered DNA methylation is a feature of cancer and between-patient variability is prevalent. Here, the authors integrate data on thousands of human tumours, and find that expression levels of methionine metabolism genes are predictive of methylation features, and that the breakdown of this relations...

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Autores principales: Mahya Mehrmohamadi, Lucas K. Mentch, Andrew G. Clark, Jason W. Locasale
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
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Acceso en línea:https://doaj.org/article/102b2e6f459e45a7a7d09cd07fb3d589
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Sumario:Altered DNA methylation is a feature of cancer and between-patient variability is prevalent. Here, the authors integrate data on thousands of human tumours, and find that expression levels of methionine metabolism genes are predictive of methylation features, and that the breakdown of this relationship is a negative prognostic marker.