Published in Nature · View the paper (DOI)
Researchers have developed a framework to analyze chromosomal instability in human cancers, characterizing 17 different types of signatures. These signatures can predict how tumors respond to drugs and help identify future drug targets. The discovery aims to improve survival rates for millions of cancer patients worldwide.
Coverage from 2 institutions
- Tumor ‘signatures’ could provide key to more accurate treatment for deadliest cancers University of Cambridge · Jun 15, 2022 · first to report
- New biomarkers unlock potential for more effective treatment of deadly cancers Centro Nacional de Investigaciones Oncológicas (CNIO) · Jun 23, 2022