Using mRNA expression profiling to determine anticancer drug efficacy.

Pharmacogenomics is a fast-growing field of investigations that aims to further elucidate the inherited nature of interindividual differences in drug disposition and effects, with the ultimate goal of providing a stronger scientific basis for selecting the optimal drug therapy. Providing the right drug for the right patient is an important problem in the treatment of cancer. This is mainly due to the lack of information about the sensitivity of the tumor for a specific treatment modality, such as either chemotherapy or radiation treatment. This presentation highlights two approaches to identify responsiveness to treatment. Both approaches are based on the identification of expression profiles. The first approach concentrates on drug resistance and the second on the signaling pathways leading up to the death of the cell. Both approaches provide expression profiles; however, the more dynamic expression profiling as used to determine the signaling in damage cells promises to be a better determinant for the pharmacogenomic changes in expression profiles and, consequently, a potential better determinant for drug efficacy.     

Genetically modified mouse models for pharmacogenomic research

It is now evident that differences in the DNA sequence of genes involved with drug action can lead to interindividual differences in effectiveness and adverse reactions to therapeutic drugs. Pharmacogenomics raises the possibility that drug discovery and patient management could move from a 'one drug fits all' approach to one in which therapy is tailored to patients' genomes. Genetically modified mice that mimic human variation in drug response can provide one of the tools to move the field towards these goals.     

Cancer Pharmacogenomics May Require Both Qualitative and Quantitative Approaches

Resistance to chemotherapy is a major cause of mortality in patients receiving treatment for most types of cancer, and overcoming drug resistance has become an important focus of current research. A major clinical challenge is the fact that most anticancer drugs have a narrow therapeutic range, that is, their effective dose is relatively close to that associated with substantial toxicity. Significant advances have been achieved in event-free survival of patients with many types of cancer (most dramatically childhood acute lymphoblastic leukemia, ALL) through a better understanding of the pathobiology of human cancers, the cellular mechanisms of cancer chemotherapy, and the determinants of inter-individual differences in drug effects and treatment response. It is anticipated that expanding our knowledge of these areas will lead to the development of new anticancer agents and to more effective use of existing cancer chemotherapy. Pharmacogenomics research aims to elucidate the genetics determinants of drug efficacy and toxicity. Results of recent studies indicate that both qualitative and quantitative genomic analyses may be required for precise pharmacogenomic characterization of some types of human cancer.     

Pharmacogenetics of cancer chemotherapy

Significant heterogeneity in the efficacy and toxicity of chemotherapeutic agents is observed within cancer populations. Pharmacogenetics (PGx) is the study of inheritance in interindividual variation in drug disposition. The allure of pharmacogenetics, in the treatment of cancer patients, comes from the potential for individualisation of cancer therapy, minimizing toxicity, while maximizing efficacy. In this review we will focus on the current and potential clinical applications of pharmacogenetics in cancer therapy by citing relevant examples and discussing the possible approaches which may be used to establish a reliable, reproducible and cost-effective test for clinically relevant genetic polymorphisms, using easily accessible biological samples (e.g., blood and tumour samples). Ideally, routine management of patients would include analysis of their single nucleotide polymorphism linkage disequilibrium (SNP-LD) profile prior to treatment, allowing stratification of patients into treatment groups, thus individualising their therapy. In order to achieve this ambition, a combination of different approaches (candidate gene, genome-wide and pathway driven) will be required from scientists and clinician scientists, as well as an increased understanding and incorporation of pharmacogenetic aims and endpoints into current and future clinical trials.     

Cancer pharmacogenomics: role of DNA repair genetic polymorphisms in individualizing cancer therapy

The evolving field of cancer pharmacogenomics uses genetic profiling to predict the response of tumor and normal tissue to therapy. The narrow therapeutic index and heterogeneity of patient responses to chemotherapy and radiotherapy implies that the efficacy of these treatments could, potentially, be significantly enhanced by improving our understanding of the genetic bases for interindividual differences in their effects. The cytotoxicity of both chemotherapy and radiotherapy is to a large extent directly related to their ability to induce DNA damage. The ability of cancer cells to recognize and repair this damage contributes to therapeutic resistance. On the other hand, suboptimal DNA repair in normal tissue may negatively impact on normal tissue tolerance.More than 130 genes have been identified that are associated with human DNA repair, and single nucleotide polymorphisms of several of the DNA repair genes have been described recently. In this article, we present the current evidence implicating variations within DNA repair genes as important predictive and prognostic markers in cancer. We review evidence suggesting DNA repair genetic polymorphisms may significantly influence the clinical response to chemotherapy and radiotherapy, and may influence normal tissue tolerance to cancer treatments.     

Pharmacogenomics: out of the lab and into the community

Pharmacogenomics is the study of the inherited basis of differences in response to drugs. These interindividual differences are often more than tenfold; a ‘slow metabolizer’ or ‘low-responsive’ individual might therefore require ten times less than the recommended dose of a drug than a ‘rapid metabolizer’ or ‘high-responsive’ person, and the slow metabolizer is often more likely to experience drug toxicity than a rapid metabolizer. Our knowledge is developing rapidly to the point that the physician will soon use DNA-based tests to aid in decision-making with respect to the most appropriate drug and dosage given to each patient. If the patient's DNA is available, however, what boundaries should be placed on that DNA? If the patient's genotype becomes known to the physician (and presumably to the patient him- or herself), what ethical questions might arise and how will they be resolved? This article discusses these issues and outlines some of the possible solutions.     

药物基因组学在新药临床试验及个体化用药中的应用

药物安全性和有效性评价是药物临床试验和个体化用药的核心,也是药物基因组学研究的主要内容。药物基因组学研究贯穿于药物 研发、上市评价和临床应用整个过程, 根据药物代谢酶、转运体、受体相关基因多态性对用药者进行分层分析,评价与药物体内的处置过程、 安全性、有效性个体差异的相关性。综述药物基因组学在新药临床试验、个体化用药中的应用研究新进展。     

药物基因组学对癌症化疗的启示

药物基因组学的研究任务是阐明个体差异的遗传基础,并利用这些遗传信息来预测药物的疗效、毒性和安全性。绝大多数的癌症化疗药物在治疗效果及正常组织毒性上的个体差异一直广为关注。不仅诸多临床因素(如年龄、性别、饮食、药物相互作用等)与药物反应和治疗效果有关,而且药物分布(转运和代谢)和药物靶标的遗传变异同样可导致癌症治疗上的差异。本篇综述主要讨论当前和将来药物基因组学在临床癌症治疗和抗癌药物研制方面的应用。     

Pharmacogenomics of Drug Metabolizing Enzymes and Transporters:Relevance to Precision Medicine

The interindividual genetic variations in drug metabolizing enzymes and transporters influence the efficacy and toxicity of numerous drugs. As a fundamental element in precision med-icine, pharmacogenomics, the study of responses of individuals to medication based on their genomic information, enables the evaluation of some specific genetic variants responsible for an individual’s particular drug response. In this article, we review the contributions of genetic polymorphisms to major individual variations in drug pharmacotherapy, focusing specifically on the pharmacoge-nomics of phase-I drug metabolizing enzymes and transporters. Substantial frequency differences in key variants of drug metabolizing enzymes and transporters, as well as their possible functional consequences, have also been discussed across geographic regions. The current effort illustrates the common presence of variability in drug responses among individuals and across all geographic regions. This information will aid health-care professionals in prescribing the most appropriate treatment aimed at achieving the best possible beneficial outcomes while avoiding unwanted effects for a particular patient.     

小细胞肺癌患者铂类化疗所致周围神经毒性与SNP相关性

小细胞肺癌（SCLC）患者的治疗正在发生改变,但含铂双药联合化疗仍然是大多数SCLC患者的治疗基础。SCLC患者在接受化学治疗同时,还需忍受药物毒性引起的周围神经毒性（peripheral neurotoxicity,PN）等相关毒副作用。周围神经毒性主要表现为刺痛、麻木、虚弱或灼痛,且呈剂量依赖性。药物基因组学现已发展为一种有效的研究方法,目前可以利用基因组学获得关于药物反应的个体间差异的相关遗传信息,从而避免周围神经毒性的发生,以达到精准治疗的目的。单核苷酸多态性（single nucleotide polymorphism,SNP）定义为在基因组水平上由于单个核苷酸的变异而导致的DNA序列多态性。人类可遗传变异中最多的就是SNP,甚至在已知的所有多态性中90%以上都是单核苷酸变异。本文就小细胞肺癌患者铂类药物引起的周围神经毒性与相关GSTP1和GSTM1基因、ERCC1基因、ABCC2和ABCC4基因、SCNAs基因、CYP2C8基因、AGXT基因的SNP之间的关系作一简要综述。     

微小RNA与肺癌耐药

肺癌细胞对化疗药物产生耐药性是目前肺癌化疗过程中遇到的主要问题。微小RNA（miRNA）是一类内源性非编码短链小分子RNA,它能调节细胞生长、凋亡和信号转导。miRNA的多态性与药物代谢和耐药形成密切相关,异常表达的miRNA对预测肺癌化疗药物敏感性有重要作用。调节特异miRNA的表达,将为克服肺癌耐药和选择个体化治疗开辟新的途径。     

Current and proposed biomarkers of anthracycline cardiotoxicity in cancer: emerging opportunities in oxidative damage and autophagy

A biomarker is defined as "a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or biological responses to a therapeutic intervention". Biomarkers can be utilized to detect disease, evaluate treatment risks, or determine treatment effectiveness. In the case of cancer, anthracyclines such as doxorubicin are front-line therapy to treat a number of different malignancies including breast cancer. However, a significant fraction of patients experience drug-induced cardiotoxicity. This toxicity is dose-limiting and can cause long-term morbidity or mortality. There is an unmet medical need to identify patients who are at risk for doxorubicin-induced cardiotoxicity, to detect cardiac damage early so that patient risk can be minimized, and to monitor the success of cardioprotective strategies. Therefore, doxorubicin treatment of cancer is an excellent example of the need for biomarkers to indicate drug safety in addition to drug efficacy. In this review we will discuss the mechanism of doxorubicinassociated cardiotoxicity, as well as other cancer therapies that induce cardiac toxicity by causing oxidative damage. We will also evaluate established and proposed biomarkers for cardiotoxicity based on our evolving knowledge of oxidative damage and subsequent autophagy. Finally, we will discuss advantages of combining oxidative damage- and autophagy-based protein biomarkers with current biomarkers such as troponins to facilitate early detection and mitigation of cardiotoxicity induced by cancer therapeutic agents.     

Genotyping panel for assessing response to cancer chemotherapy

Background

Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival (e.g., cell cycle, DNA repair, and apoptosis). The purpose of the current study is to establish a flexible, cost-effective, high-throughput genotyping platform for candidate genes involved in chemoresistance and -sensitivity, and treatment outcomes.

Methods

We have adopted SNPlex for genotyping 432 single nucleotide polymorphisms (SNPs) in 160 candidate genes implicated in response to anticancer chemotherapy.

Results

The genotyping panels were applied to 39 patients with chronic lymphocytic leukemia undergoing flavopiridol chemotherapy, and 90 patients with colorectal cancer. 408 SNPs (94%) produced successful genotyping results. Additional genotyping methods were established for polymorphisms undetectable by SNPlex, including multiplexed SNaPshot for CYP2D6 SNPs, and PCR amplification with fluorescently labeled primers for the UGT1A1 promoter (TA)nTAA repeat polymorphism.

Conclusion

This genotyping panel is useful for supporting clinical anticancer drug trials to identify polymorphisms that contribute to interindividual variability in drug response. Availability of population genetic data across multiple studies has the potential to yield genetic biomarkers for optimizing anticancer therapy.     

药物基因组学相关P450和ABCB1多态性及SNP检测技术

药物基因组学（phamacogenomics）是临床检测遗传差异引起药物应答个体性差异的学科,它涉及药物代谢和有害的药物反应的预测等方面的内容。个性化药物和个性化治疗发展的关键条件是能够快速简便的检测出病人的遗传多态性。文章综述了药物基因相关问题,细胞色素酶1）450和ABCB1转运蛋白的遗传多态性以及检测遗传多态性的相关技术。     

Detoxification of electrophilic compounds by glutathione S-transferase catalysis: determinants of individual response to chemical carcinogens and chemotherapeutic drugs?

The glutathione S-transferases (GSTs) catalyze the GSH-dependent detoxification of reactive electrophiles such as genotoxic chemical carcinogens and cytotoxic chemotherapeutic agents. Allelic polymorphism in the GSTs has been used to investigate the hypothesis that GSTs are involved in susceptibility to human cancers. Such studies have resulted in low penetrance, high prevalence associations between cancer risk and GST polymorphisms. By examination of interindividual variation of GST expression it becomes clear that GST genotype alone is not an accurate predictor of GST expression. GST expression is tissue specific and interindividual variation of expression is at least 7-fold in normal tissues. Thus, populations of the same genotype are actually heterogeneous as regards expression. Similarly, polymorphisms are not effective in all tissues and GST induction is not independent of genotype. Mechanistic models for chemical aspects of colorectal cancer and chemotherapy for breast cancer demonstrate some of the ways by which such interactions can be studied and the potential for future studies.     

From humble beginnings to success in the clinic: Chimeric antigen receptor-modified T-cells and implications for immunotherapy

In the past 50 years, disease burden has steadily shifted from infectious disease to cancer. Standard chemotherapy has long been the mainstay of cancer medical management, and despite vast efforts towards more targeted and personalized drug therapy, many cancers remain refractory to treatment, with high rates of relapse and poor prognosis. Recent dramatic immunotherapy clinical trials have demonstrated that engineering T-cells with chimeric antigen receptors (CARs) to target CD19 can lead to complete remission in relapsed or refractory B-cell malignancies, generating a great deal of enthusiasm in the field. Here we provide a comprehensive overview of the history of adoptive T-cell therapy, including CARs, in solid tumors as well as hematologic malignancies. CAR therapy has the potential to fundamentally transform cancer treatment with specific and even personalized targeting of tissue- and tumor-specific antigens. However, before CARs become standard first-line treatment modalities, critical issues regarding efficacy, combinatorial regimens, and mechanisms of treatment failure and toxicity will need to be addressed.     

Pharmacogenomics and systems biology of membrane transporters

Membrane transporters are essential for fundamental cellular functions and normal physiological processes. These molecules influence drug absorption and distribution, and play key roles in drug therapeutic effects. A primary goal of current research in drug discovery and development is to fully understand the interaction between transporters and drugs at both system level and individual level for personalized therapy. Pharmacogenomics studies the genetic basis of the individual variations in response to drug therapy, whereas systems biology provides the understanding of biological processes at the system level. The integration of pharmacogenomics with systems biology in membrane transporter study is necessary to solve complex problems in diseases and drug effects. Such integration provides insight to key issues of pharmacogenomics and systems biology of membrane transporters. These key issues include the correlations between structure and function, genotype and phenotype, and systematic interactions between different transporters, between transporters and other proteins, and between transporters and drugs. The exploration in these key issues may ultimately contribute to the personalized medicine with high efficacy but less toxicity, which is the overall goal of pharmacogenomics and systems biology.     

生物相容透皮给药微针治疗浅表肿瘤

复杂的肿瘤微环境导致抗肿瘤药物在肿瘤组织内递送效率低下，严重阻碍了药物对浅表肿瘤的治疗效果。生物相容透皮给药微针凭借较高的机械强度，刺穿皮肤角质层，将微针内的药物递送至浅表肿瘤组织内，提高生物利用度，改善静脉注射、口服给药的肝肾毒性等问题。本文介绍了生物相容透皮给药微针的设计及其在癌症化疗、光动力治疗、光热治疗、免疫治疗、基因治疗等领域的研究进展，对浅表肿瘤的微创、局部递药和精准、高效治疗具有重要指导意义。     

Clinical Use of Pharmacogenomic Tests in 2009

Pharmacogenomics is a new field where testing an individual can define either a risk status for an adverse event, or the rate of metabolism of a drug. This is achieved by the categorisation of the enzyme activity or documenting genetic polymorphisms of a metabolising enzyme. The best example of risk status assessment is the recent finding that HLA-B typing a person can predict whether they are at risk of a severe skin reaction from the drug abacavir. Those patients showing HLA-B*5701, who are being considered for abacavir therapy, can be prevented from developing potentially toxic epidermal necrosis (TEN) or Stevens-Johnson Syndrome by avoiding abacavir. The evidence for HLA-B typing for allopurinol and carbamazepine has also been described. Most other pharmacogenomic tests are of drug metabolising enzymes, which can either be assessed using “probe” drugs and measuring a ratio of parent drug to metabolite, or, by genetic testing for polymorphisms of the genes. In practice, testing is usually done by molecular testing, but this typically does not detect all polymorphisms. This article briefly reviews the evidence for the utilisation of pharmacogenomics for antidepressant drugs, tamoxifen, codeine, warfarin, azathioprine, clopidogrel, omeprazole, tacrolimus and irinotecan. There are few pharmacogenomics tests being carried out in practice, as there has not been a wide appreciation of their use, and only limited evidence exists for many individual drugs. It is expected that utilisation will increase as more evidence becomes available and there is a wider understanding of the existing evidence by the medical profession.     

Combination of polymorphisms between MTHFR and TS gene modulates survival after 5-fluorouracil-based therapy in colorectal cancer patients

The major targets of 5-fluorouracil (5-FU) are thymidylate synthase (TS) and methylenetetrahydrofolate reductase (MTHFR). Therefore, we hypothesized that the variable number of tandem repeat (VNTR) of the thymidylate synthase enhancer region (TSER) together with methylenetetrahydrofolate reductase (MTHFR 677C>T) polymorphism could alter drug activity and predict drug toxicity or efficacy. This study was designed to investigate the influence of TSER and MTHFR polymorphisms on the clinical outcomes of patients with colorectal cancer receiving 5-FU-based chemotherapy. Genomic DNA was isolated from 103 samples of colorectal cancer patients. The genotypes of two common polymorphisms (TSER and MTHFR 677C>T) were determined by polymerase chain reaction-restriction fragment length polymorphism. Patient prognoses were compared with genotype groups and analyzed according to tumor location and gender. There were no differences in prognosis between genotypes or functional groups when the TSER and MTHFR groups were considered separately. However, analysis of combined genotypes of the TSER and the MTHFR 677C>T polymorphisms were associated with the survival rate of colorectal cancer patients who received 5-FU-based chemotherapy (P=0.028). Prognosis of colorectal cancer patients was significantly different between proximal colon and distal colon cancers (P=0.002). However, prognosis did not receive any effect of the combined genotype when analyzed according to tumor location, such as proximal and distal colon cancer. The male group also showed a significant difference between low and high risk types of TSER and MTHFR combined genotypes when stratified according to gender (P=0.019). In conclusion, the combined TSER and MTHFR 677C>T genotypes can be potential prognostic factors in colorectal cancer with 5-FU-based chemotherapy, especially in male gender in Koreans.