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An approach to combat this is to treat a cancer with one target drug, and if the cancer returns with newly developed resistance, identify how that resistance occurred and target that with another drug, and so on, until the cancer and its resistances are beaten.  This is similar to accepting that a local traffic jam may be bypassed, and finding and blocking all the ways around the jam.
 
Another approach is to target and block something critical for the survival of a specific cancer. This is similar to blocking a strategic point that controls all the traffic coming in and leaving a city. For example, taxi drivers clogging up Trafalgar Square and bringing London to a standstill. But scientists are a long way from achieving this because researchers don't know whether such targets in relations to cancers exists, and even if they did, they don't know whether they can be blocked effectively. And, even if such targets were discovered and were blocked, scientists still don't know what would be the side effects of doing so. 
 
Takeaways
For personalised medicine to be successful, clinicians and scientists need to track the evolutionary trajectories of cancers in patients through sequential episodes of treatment and relapse. Besides being a major clinical and scientific challenge, this is also a significant informational and communication challenge, which networks such as EUTROC are addressing.