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Progress in the treatment of acute lymphoblastic leukemia (ALL) in children has been remarkable, from a disease being lethal four decades ago to current cure rates exceeding 80%. This exemplary progress is largely due to the optimization of existing treatment modalities rather than the discovery of new antileukemic agents. However, despite these high cure rates, the annual number of children whose leukemia relapses after their initial therapy remains greater than that of new cases of most types of childhood cancers. The aim of pharmacogenetics is to develop strategies to personalize treatment and tailor therapy to individual patients, with the goal of optimizing efficacy and safety through better understanding of human genome variability and its influence on drug response. In this review, we summarize recent pharmacogenomic studies related to the treatment of pediatric ALL. These studies illustrate the promise of pharmacogenomics to further advance the treatment of human cancers, with childhood leukemia serving as a paradigm.
Polymorphism, Genetic, Gene Expression Profiling, Computational Biology, Antineoplastic Agents, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Pharmacogenetics, Child, Preschool, Mutation, Humans, Child
Polymorphism, Genetic, Gene Expression Profiling, Computational Biology, Antineoplastic Agents, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Pharmacogenetics, Child, Preschool, Mutation, Humans, Child
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 58 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |