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Designing personalised cancer treatments

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Figure 2.  The difference between a prognostic and a predictive test.  Prognostic assays  distinguish groups according to their risk of an adverse outcome, while predictive tests define a group in which treatment will improve outcome
Figure 3.  Simpler PCR based methods such as melt curve analysis can be an effective and  inexpensive  way of showing the presence of mutations, in this case an EGFR mutation in a patient with non-small cell lung cancer
Figure 4.  Comparison of ATP-TCA index results with predicted index from gene expression in a series of 25 breast cancers exposed to FEC (5-fluorouracil, epirubicin, and cyclofosfamide) in primary cell culture

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