Personalized cancer therapy is making progress.
Being able to predict the resistance or sensitivity of a tumour cell to a drug is a key success-factor of cancer precision therapy. But such a prediction is made difficult by the fact that genetic alterations in tumours change dynamically over time and are often interdependent, following a pattern that is poorly understood. A recent study led by researchers at the SIB Swiss Institute of Bioinformatics, University of Lausanne and EPFL provides a promising framework to anticipate drug resistance in cancer, by predicting the co-occurrence of about 500 known tumour alterations, as well as their response to over 200 common cancer drugs. The research, published in Cancer Cell, showed that while some co-occurrences between genomic alterations confer a resistance to tumour cells against particular drugs, they also make them sensitive to other unexpected drugs.
Read full article: SIBWeb – From cancer evolution to personalized therapies
|Read Full Article: SIBWeb – From cancer evolution to personalized therapies|