Advances in analytical methods, imaging techniques and an increased understanding of the influence of pharmacogenetic factors have added to our knowledge of the pharmacology of many chemotherapeutic agents. Extending the use of these approaches to pharmacodynamic end-points, together with the application of population-based modelling techniques, offers the potential to develop truly individualized therapy in the future.The concept that major improvements in cancer treatment could come about simply by increasing our knowledge of the systemic pharmacology of cytotoxic drugs has not been borne out by many of the studies performed in the last 20 years. Data on plasma concentrations of drug and metabolites have allowed the successful development of a number of novel agents and has been useful in guiding dosage regimens and the design of novel prodrugs. However, the goal of using clinical pharmacology to individualize therapy in order to optimize the treatment of each tumour in every patient has not been achieved. Clinical pharmacology studies continue to generate more detailed data on classical cytotoxic drugs. However, to date only for carboplatin [1,2] and possibly for methotrexate [3] and etoposide [4] is there any rationale for individualized dosing based solely on a knowledge of systemic pharmacology. In this review, I will focus on the methodological and conceptual developments that have augmented our understanding of 'classical cytotoxic' drugs, beyond simple measurements of total drug or metabolites in plasma. These developments include new technologies, integration of genetic and other biological determinants of pharmacology and novel statistical and data analysis approaches.