Page URL: https://www.bionews.org.uk/page_153335

Novel cancer driver genes discovered by prediction algorithm

23 November 2020
Appeared in BioNews 1073

A new algorithm has exploited epigenetic and genetic cancer data to enable the discovery of novel cancer driver genes.

'Discovery of oncogenes and tumor suppressor genes using genetic and epigenetic features' (DORGE) is a novel data analysis algorithm developed by researchers at the University of California, Irvine. The technique integrates multiple datasets to use both genetic mutations and epigenetic changes (reversible chemical modifications to DNA) as markers for oncogenes (cancer-promoting genes) and tumour suppressor genes.

'Existing bioinformatics algorithms do not sufficiently leverage epigenetic features to predict cancer driver genes, despite the fact that epigenetic alterations are known to be associated with cancer driver genes,' explained Professor Wei Li, senior author of the paper published in Science Advances. 'Our computational algorithm integrates public data on epigenetic and genetic alterations to improve the prediction of cancer driver genes.'

Genetic data from cancer cells and patients are a rich source of discovery of new cancer-related genes. However, existing methods do not always have the sensitivity to detect cancer-associated mutations against the natural background rate of mutation in cancer cells. This means that many potentially important cancer driver genes can be missed in these analyses.

It was previously shown that certain epigenetic changes often occur at cancer driver gene sites in the genome. This gave the researchers a new way to look for important cancer-related genes.

The DORGE algorithm predicted a number of cancer driver genes which were already known, as well as ones which had not been identified before. The researchers found that some of these genes are important parts of known protein interaction and drug-gene networks, meaning that they have a good likelihood of being effective targets in cancer research and treatment.

'Our DORGE algorithm, successfully leveraged public data to discover the genetic and epigenetic alterations that play significant roles in cancer driver gene dysregulation,' said Professor Li. 'These findings could be instrumental in improving cancer prevention, diagnosis and treatment efforts in the future.'

SOURCES & REFERENCES
DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features
Science Advances |  11 November 2020
New prediction algorithm identifies previously undetected cancer driver genes
Eurek Alert |  12 November 2020
Novel cancer-driving genes are discovered
Lab Roots |  15 November 2020
RELATED ARTICLES FROM THE BIONEWS ARCHIVE
8 February 2021 - by Christina Burke 
Disrupting a specific protein interaction causes tumours to shrink, researchers in the US have found...
27 April 2020 - by Dr Jay Stone 
CRISPR has been used, for the first time, to identify novel genes that are key drivers of aggressive chronic myeloid leukaemia...
22 July 2019 - by Dr Yvonne Collins 
Researchers have identified a gene, active in the early stages of development, that may help conceal cancers from common immunotherapy treatment...
21 October 2013 - by Dr Naqash Raja 
Common gene mutations link 12 cancer types such as blood, colon and kidney, research from Washington University School of Medicine, USA, has shown...
HAVE YOUR SAY
to add a Comment.

By posting a comment you agree to abide by the BioNews terms and conditions


Syndicate this story - click here to enquire about using this story.