The topic is interesting because as our treatment strategies or our availability of different treatments has evolved over time and our ability to monitor the disease, with more sensitive tools, and all that, the goals of therapy have changed, the patient’s goals have changed. So I’m going to try to review how the evolution has gone and how we integrate the different elements that we have, not only the different drugs, but also the different ways in which we now, for example, aim more and more towards better quality of life and treatment discontinuation, whereas in the past it was just better survival...
The topic is interesting because as our treatment strategies or our availability of different treatments has evolved over time and our ability to monitor the disease, with more sensitive tools, and all that, the goals of therapy have changed, the patient’s goals have changed. So I’m going to try to review how the evolution has gone and how we integrate the different elements that we have, not only the different drugs, but also the different ways in which we now, for example, aim more and more towards better quality of life and treatment discontinuation, whereas in the past it was just better survival. So because we have so many more tools and many more approaches, I think it is important to see how, and it’s interesting because what we have informs our algorithms and then our algorithms inform what else we need. So that’s kind of the discussion we’re going to have and see how we are, if we’re focusing on survival we’re done, if we’re focusing on the new needs we’re definitely not done and why we need additional studies, of course, additional drugs, additional concepts, additional strategies, on what to focus. I think it is very important to recognize that there are still many, many gaps that we haven’t covered in CML that we still need to focus on.
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