Sign In

Communications of the ACM

ACM TechNews

Researchers Use Computer Model to Predict Prostate Cancer Progression


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
A DNA model.

Danish and German researchers have trained a computer model to predict the progression of prostate cancer.

Credit: healthsciences.ku.dk

Researchers from Denmark and Germany have trained a computer model on prostate cancer patient data to predict disease progression.

The model's dataset was culled from about 300 patients who had undergone complete genome sequencing; the focus on early-onset prostate cancer revealed a mutational mechanism involving an enzyme called APOBEC, which may help induce initial mutations in the disease.

The researchers also used the model to demonstrate that a putative novel oncogene in prostate cancer, ESRP1, may be used as a potential biomarker to detect whether the disease will be aggressive in a specific patient. This finding was validated on a cohort of 12,000 other patients with the same type of cancer.

The model is being deployed at a German clinic, and the team said full implementation should take two to three years, after which it may be rolled out to hospitals in other countries.

From University of Copenhagen
View Full Article

 

Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA


 

No entries found