Pharmacogenetics of acute lymphoblastic leukemia

Personalized Cancer Therapy Considering Cytochrome P450 Variability

The individual variability of pharmacokinetics is underestimated and few systematic studies exist in this field. In most cases, this leads to unwanted side effects or toxicity. In polychemotherapy, prodrugs (like ifosfamide), which have to be activated by cytochrome P450 enzymes (CYPs), play an important role. If patients are poor metabolizers for these drugs, the therapy will be ineffective. Furthermore, CYPs and transporters can be (over)expressed in target tissues, which is also not examined and considered in clinical routine. Here, we present a body map showing relevant enzymes in some organs and tissues. Finally, a typical case of a Caucasian chemotherapy patient with breast cancer is presented and discussed regarding a personalized cancer therapy considering the single nucleotide polymorphisms found via genotyping.

Drug cocktail optimization in chemotherapy of cancer

BACKGROUND

In general, drug metabolism has to be considered to avoid adverse effects and ineffective therapy. In particular, chemotherapeutic drug cocktails strain drug metabolizing enzymes especially the cytochrome P450 family (CYP). Furthermore, a number of important chemotherapeutic drugs such as cyclophosphamide, ifosfamide, tamoxifen or procarbazine are administered as prodrugs and have to be activated by CYP. Therefore, the genetic variability of these enzymes should be taken into account to design appropriate therapeutic regimens to avoid inadequate drug administration, toxicity and inefficiency.

OBJECTIVE

The aim of this work was to find drug interactions and to avoid side effects or ineffective therapy in chemotherapy.

DATA SOURCES AND METHODS

Information on drug administration in the therapy of leukemia and their drug metabolism was collected from scientific literature and various web resources. We carried out an automated textmining approach. Abstracts of PubMed were filtered for relevant articles using specific keywords. Abstracts were automatically screened for antineoplastic drugs and their synonyms in combination with a set of human CYPs in title or abstract.

RESULTS

We present a comprehensive analysis of over 100 common cancer treatment regimens regarding drug-drug interactions and present alternatives avoiding CYP overload. Typical concomitant medication, e.g. antiemetics or antibiotics is a preferred subject to improvement. A webtool, which allows drug cocktail optimization was developed and is publicly available on http://bioinformatics.charite.de/chemotherapy.

Pharmacogenetics influence treatment efficacy in childhood acute lymphoblastic leukemia

Pharmacogenetics covers the genetic variation affecting pharmacokinetics and pharmacodynamics, and their influence on drug-response phenotypes. The genetic variation includes an estimated 15 million single nucleotide polymorphisms (SNPs) and is a key determinator for the interindividual differences in treatment resistance and toxic side effects. As most childhood acute lymphoblastic leukemia treatment protocols include up to 13 different chemotherapeutic agents, the impact of individual SNPs has been difficult to evaluate. So far focus has mainly been on the widely used glucocorticosteroids, methotrexate, and thiopurines, or on metabolic pathways and transport mechanisms that are common to several drugs, such as the glutathione S-transferases. However, beyond the thiopurine methyltransferase polymorphisms, the candidate-gene approach has not established clear associations between polymorphisms and treatment response. In the future, high-throughput, low-cost, genetic platforms will allow screening of hundreds or thousands of targeted SNPs to give a combined gene-dosage effect (=individual SNP risk profile), which may allow pharmacogenetic-based individualization of treatment.

Pharmacogenomics of acute lymphoblastic leukemia

PURPOSE OF REVIEW

The cure rate in children with acute lymphoblastic leukemia now exceeds almost 80% in most treatment protocols in industrialized countries. This has mainly been achieved empirically through carefully controlled, randomized clinical trials. Due to relative nonspecific action and narrow therapeutic indices of antileukemic medications, however, current therapy can be associated with significant short and long-term adverse effects, and around 20% of patients will not be cured despite intensified treatment. Pharmacogenomics, which studies the role of inheritance in individual variation in drug disposition and response, could be a useful tool to further improve outcome in this heterogeneous disease by individualization of therapy based on information gained from the genetic 'make-up' of normal host cells and lymphoblastic leukemia cells.

RECENT FINDINGS

The focus of this review is on recent progress in the field by discussing the results of selected studies in which information from functional genomics, high-throughput molecular analyses, and pharmacodynamics has been integrated to establish pharmacogenomic models. These models may be used to both maximize efficacy and minimize toxicity of existing antileukemic medications, or to identify novel therapeutic targets in lymphoblasts that are resistant to conventional antileukemic drugs.

SUMMARY

The findings from recent pharmacogenomic studies can be integrated into decision-making in future clinical trials. Thus there is great promise for advancing event-free survival in childhood leukemia in the future.