Computational Analysis of Prostate Cancer Networks Points Way to Patient-Specific Therapies

Computational Analysis of Prostate Cancer Networks Points Way to Patient-Specific Therapies
Researchers have created a detailed map showing of how genes and proteins interact and cause prostate cancer cells to multiply and escape treatment. They then developed a computational tool to analyze patient-specific information, helping clinicians to choose the most effective treatments for individual prostate cancer patients. The study, by cancer researchers at the University of California Santa Cruz (UCSC) and colleagues at the University of California, Los Angeles (UCLA), is titled “Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer” and published in the journal Cell. Working with autopsy tissue samples
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