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Leveraging public data reveals new information about genetic and epigenetic changes and their role in cancer-ScienceDaily

Leveraging public data reveals new information about genetic and epigenetic changes and their role in cancer-ScienceDaily

 


A new study led by researchers at the University of California, Irvine, provides a better understanding of epigenetic mechanisms in tumorigenesis and reveals a previously undetected repertoire of cancer driver genes.The study was published this week Science Advances..

Using a new predictive algorithm called DORGE (discovery of oncogenes and tumor suppressor genes using genetic and epigenetic features), researchers have found new tumor suppressor genes (TSGs) and tumor suppressor genes (OGs), especially It could be identified by integrating those with rare mutations. The most comprehensive collection of genetic and epigenetic data.

“Existing bioinformatics algorithms are not able to take full advantage of epigenetic features to predict cancer driver genes, even though epigenetic changes are known to be associated with cancer driver genes. “No,” said Dr. Wei Li, senior author and chairman and professor of Grace B. Bell. Bioinformatics in the Department of Biochemistry, UCI School of Medicine. “Our computational algorithms integrate public data on epigenetic and genetic alternation to improve prediction of cancer driver genes.”

Cancer results from the accumulation of important genetic changes that upset the balance between cell division and apoptosis. Genes with “driver” mutations that affect cancer progression are known as cancer driver genes and can be classified as TSG and oncogene OG based on their role in cancer progression.

This study showed how the cancer driver genes predicted by DORGE contained both known and novel driver genes not reported in the current literature. In addition, researchers found that the novel dual-function genes that DORGE predicted as both TSG and OG are highly enriched at the protein-protein interaction (PPI) and drug / compound gene network hubs. did.

“Our DORGE algorithm leveraged public data to discover genetic and epigenetic changes that play an important role in gene dysregulation in cancer drivers,” explained Li. “These findings may help improve future cancer prevention, diagnosis, and treatment efforts.”

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material Provided by University of California-Irvine.. Note: The content can be edited in style and length.

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