Researchers use information theory to monitor resistance mechanisms to targeted cancer therapy
One of the major challenges in modern cancer therapy is the adaptive response of cancer cells to targeted therapies: initially, these therapies are very often effective, then adaptive resistance occurs, allowing the tumor cells to proliferate again. Although this adaptive response is theoretically reversible, such a reversal is hampered by numerous molecular mechanisms that allow the cancer cells to adapt to the treatment.
The analysis of these mechanisms is limited by the complexity of cause and effect relationships that are extremely difficult to observe
in vivo in tumor samples. In order to overcome this challenge, a team from the University of Geneva (UNIGE) and the University Hospitals of Geneva (HUG), Switzerland, has used information theory for the first time, in order to objectify
Cancer: information theory to fight resistance to treatments
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How to make biomedical research data able to interact?
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