Clinical Pharmacology of Antiмcancer Agents
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Ion Channels in Drug Discovery
Department of Physiology and Pharmacology Karolinska Institutet, Stockholm, Sweden Thesis for doctoral degree (Ph.D.) 2008 Thesis for doctoral degree (Ph.D.) 2008 Ion Channels in Drug Discovery - focus on biological assays Ion Channels in Drug Discovery - focus on biological assays Kim Dekermendjian Ion Channels in Drug Discovery - focus on biological - focus on in Drug assays Channels Discovery Ion Kim Dekermendjian Kim Dekermendjian Stockholm 2008 Department of Physiology and Pharmacology Karolinska Institutet, Stockholm, Sweden Ion Channels in Drug Discovery - focus on biological assays Kim Dekermendjian Stockholm 2008 Main Supervisor: Bertil B Fredholm, Professor Department of Physiology and Pharmacology Karolinska Institutet. Co-Supervisor: Olof Larsson, PhD Associated Director Department of Molecular Pharmacology, Astrazeneca R&D Södertälje. Opponent: Bjarke Ebert, Adjunct Professor Faculty of Pharmaceutical Sciences, University of Copenhagen, Denmark. and Department of Electrophysiology, H. Lundbeck A/S, Copenhagen, Denmark. Examination board: Ole Kiehn, Professor Department of Neurovetenskap, Karolinska Institutet. Bryndis Birnir, PhD Docent Department of Clinical Sciences, Lund University. Bo Rydqvist, Professor Department of Physiology and Pharmacology Karolinska Institutet. All previously published papers were reproduced with permission from the publisher. Front page (a) Side view of the GABA-A model; the trans membrane domain (TMD) (bottom) spans through the lipid membrane (32 Å) and partly on the extracellular side (12 Å), while the ligand binding domain (LBD) (top) is completely extracellular (60 Å). (b) The LBD viewed from the extracellular side (diameter of 80 Å). (c) The TMD viewed from the extracellular side. Arrows and ribbons (which correspond to ȕ-strands and Į- helices, respectively) are coloured according to position in each individual subunit sequence, as well as in the TM4 of each subunit which is not bonded to the rest of the model (with permission from Campagna-Slater and Weaver, 2007 Copyright © 2006 Elsevier Inc.). -
Gy Total Body Irradiation Followed by Allogeneic Hematopoietic St
Bone Marrow Transplantation (2009) 44, 785–792 & 2009 Macmillan Publishers Limited All rights reserved 0268-3369/09 $32.00 www.nature.com/bmt ORIGINAL ARTICLE Fludarabine, amsacrine, high-dose cytarabine and 12 Gy total body irradiation followed by allogeneic hematopoietic stem cell transplantation is effective in patients with relapsed or high-risk acute lymphoblastic leukemia F Zohren, A Czibere, I Bruns, R Fenk, T Schroeder, T Gra¨f, R Haas and G Kobbe Department of Haematology, Oncology and Clinical Immunology, Heinrich Heine-University, Du¨sseldorf, Germany In this prospective study, we examined the toxicity and Introduction efficacy of an intensified conditioning regimen for treatment of patients with relapsed or high-risk acute The use of intensified conventional induction chemothera- lymphoblastic leukemia who undergo allogeneic hemato- pies in the treatment of newly diagnosed ALL in adult poietic stem cell transplantation. Fifteen patients received patients has led to initial CR rates of up to 90%. But, as fludarabine 30 mg/m2, cytarabine 2000 mg/m2, amsacrine some patients are even refractory to first-line therapy, the 100 mg/m2 on days -10, -9, -8 and -7, anti-thymocyte majority of the responding patients unfortunately suffer globulin (ATG-Fresenius) 20 mg/kg body weight on days from relapse. Therefore, the probability of long-term -6, -5 and -4 and fractionated total body irradiation disease-free survival is o30%.1–5 Risk stratification based 2 Â 2 Gy on days -3, -2 and -1 (FLAMSA-ATG-TBI) on prognostic factors allows identification of high-risk before allogeneic hematopoietic stem cell transplantation. ALL patients with poor prognosis.6–12 Myeloablative At the time of hematopoietic stem cell transplantation, 10 conditioning therapy followed by allogeneic hematopoietic patients were in complete remission (8 CR1; 2 CR2), 3 stem cell transplantation (HSCT) is currently the treatment with primary refractory and 2 suffered from refractory of choice for these high-risk patients.13–15 A combination of relapse. -
Clinical Outcome of FLAG-IDA Chemotherapy Sequential
Bone Marrow Transplantation (2019) 54:458–464 https://doi.org/10.1038/s41409-018-0283-5 ARTICLE Clinical outcome of FLAG-IDA chemotherapy sequential with Flu–Bu3 conditioning regimen in patients with refractory AML: a parallel study from Shanghai Institute of Hematology and Institut Paoli-Calmettes 1 2 3 2 3 2 1 Ling Wang ● Raynier Devillier ● Ming Wan ● Justine Decroocq ● Liang Tian ● Sabine Fürst ● Li-Ning Wang ● 2 1 2 1 Norbert Vey ● Xing Fan ● Didier Blaise ● Jiong Hu Received: 23 January 2018 / Revised: 28 June 2018 / Accepted: 30 June 2018 / Published online: 6 August 2018 © The Author(s) 2018. This article is published with open access Abstract The purpose of the study was to evaluate the feasibility of conditioning regimen with sequential chemotherapy (FLAG-IDA), followed by Fludarabine (5 days) + Busulfan (3 days) by parallel analysis of patients with refractory acute myeloid leukemia (AML) from two transplantation centers in China and France. A total of 47 refractory AML with median bone marrow blast of 35% (1–90%) and median age at 42 years (16–62) were enrolled. Thirteen patients received peripheral stem cell 1234567890();,: 1234567890();,: transplantation (HSCT) from HLA-matched sibling donor, while 18 and 16 from unrelated or haplo-identical donors, respectively. With a median follow-up of 24.3 months (1–70), 13 patients relapsed at a median time of 5.1 months (2.2–18.0) and 24 patients died due to relapse (n = 12) or non-relapsed mortality (NRM, n = 12). The estimated 3-year RR and NRM were 33.5 ± 5.7% and 25.7 ± 4.2%, respectively. -
Thiopurine Drug Therapy
Thiopurine Drug Therapy Thiopurine drug therapy is used for autoimmune diseases, inflammatory bowel disease, acute lymphoblastic leukemia, and to prevent rejection after solid organ transplant. The inactivation of thiopurine drugs is catalyzed in part by thiopurine Tests to Consider methyltrasferase (TPMT) and nudix hydrolase 15 (NUDT15). Variants in the TPMT and/or NUDT15 genes are associated with an accumulation of cytotoxic metabolites Thiopurine Methyltransferase, RBC leading to increased risk of drug-related toxicity with standard doses of thiopurine 0092066 drugs, and the effects on thiopurine catabolism can be additive. Method: Enzymatic/Quantitative Liquid Chromatography-Tandem Mass Spectrometry The enzyme activity phenotype of TPMT can also be measured directly when Phenotype test to assess risk for severe performed prior to drug administration. Complementary to pretherapeutic tests, myelosuppression with standard dosing of concentrations of thiopurines and metabolites can be measured after initiation of thiopurine drugs therapy to optimize dose. Use for individuals being considered for thiopurine therapy Must be performed before thiopurine therapy is initiated Disease Overview Can also detect rapid metabolizer phenotype Prevalence TPMT and NUDT15 3001535 Method: Polymerase Chain Very low/absent TPMT activity: ~3/1,000 individuals Reaction/Fluorescence Monitoring Intermediate TPMT activity: ~10% of Caucasian individuals Normal TPMT activity: ~90% of individuals Genotyping test to assess genetic risk for severe myelosuppression -
Identification and Analysis of Single-Nucleotide Polymorphisms in the Gemcitabine Pharmacologic Pathway
The Pharmacogenomics Journal (2004) 4, 307–314 & 2004 Nature Publishing Group All rights reserved 1470-269X/04 $30.00 www.nature.com/tpj ORIGINAL ARTICLE Identification and analysis of single-nucleotide polymorphisms in the gemcitabine pharmacologic pathway AK Fukunaga1 ABSTRACT 2 Significant variability in the antitumor efficacy and systemic toxicity of S Marsh gemcitabine has been observed in cancer patients. However, there are 1 DJ Murry currently no tools for prospective identification of patients at risk for TD Hurley3 untoward events. This study has identified and validated single-nucleotide HL McLeod2 polymorphisms (SNP) in genes involved in gemcitabine metabolism and transport. Database mining was conducted to identify SNPs in 14 genes 1Department of Clinical Pharmacy and Pharmacy involved in gemcitabine metabolism. Pyrosequencing was utilized to Practice, Purdue University, W. Lafayette, IN, determine the SNP allele frequencies in genomic DNA from European and 2 USA; Departments of Medicine, Genetics, and African populations (n ¼ 190). A total of 14 genetic variants (including 12 Molecular Biology and Pharmacology, Washington University School of Medicine and SNPs) were identified in eight of the gemcitabine metabolic pathway genes. the Siteman Cancer Center, St Louis, MO, USA; The majority of the database variants were observed in population samples. 3Department of Biochemistry and Molecular Nine of the 14 (64%) polymorphisms analyzed have allele frequencies that Biology, Indiana University School of Medicine, were found to be significantly different between the European and African Indianapolis, IN, USA populations (Po0.05). This study provides the first step to identify markers Correspondence: for predicting variability in gemcitabine response and toxicity. Dr HL McLeod, Washington University The Pharmacogenomics Journal (2004) 4, 307–314. -
Exploring Non-Covalent Interactions Between Drug-Like Molecules and the Protein Acetylcholinesterase
Exploring non-covalent interactions between drug-like molecules and the protein acetylcholinesterase Lotta Berg Doctoral Thesis, 2017 Department of Chemistry Umeå University, Sweden This work is protected by the Swedish Copyright Legislation (Act 1960:729) ISBN: 978-91-7601-644-2 Elektronisk version tillgänglig på http://umu.diva-portal.org/ Printed by: VMC-KBC Umeå Umeå, Sweden, 2017 “Life is a relationship between molecules, not a property of any one molecule” Emile Zuckerkandl and Linus Pauling 1962 i Table of contents Abstract vi Sammanfattning vii Papers covered in the thesis viii List of abbreviations x 1. Introduction 1 1.1. Drug discovery 1 1.2. The importance of non-covalent interactions 1 1.3. Fundamental forces of non-covalent interactions 2 1.4. Classes of non-covalent interactions 3 1.5. Hydrogen bonds 3 1.5.1. Definition of the hydrogen bond 3 1.5.2. Classical and non-classical hydrogen bonds 4 1.5.3. CH∙∙∙Y hydrogen bonds 5 1.6. Interactions between aromatic rings 6 1.7. Thermodynamics of binding 7 1.8. The essential enzyme acetylcholinesterase 8 1.8.1. The relevance of research focused on AChE 8 1.8.2. The structure of AChE 9 1.8.3. AChE in drug discovery 10 2. Scope of the thesis 12 3. Background to techniques and methods 13 3.1. Structure determination by X-ray crystallography 13 3.1.1. The significance of crystal structures of proteins 13 3.1.2. Data collection and structure refinement 13 3.1.3. Electron density maps 14 3.1.4. -
Is TPMT Testing a Predictor of Duration of Use Or Long-Term Benefit of Thiopurine Agents? Shatoya R
Grand Valley State University ScholarWorks@GVSU Masters Theses Graduate Research and Creative Practice 12-2018 Is TPMT Testing a Predictor of Duration of Use or Long-Term Benefit of Thiopurine Agents? Shatoya R. Wilson Grand Valley State University Follow this and additional works at: https://scholarworks.gvsu.edu/theses Part of the Chemical and Pharmacologic Phenomena Commons Recommended Citation Wilson, Shatoya R., "Is TPMT Testing a Predictor of Duration of Use or Long-Term Benefit of Thiopurine Agents?" (2018). Masters Theses. 914. https://scholarworks.gvsu.edu/theses/914 This Thesis is brought to you for free and open access by the Graduate Research and Creative Practice at ScholarWorks@GVSU. It has been accepted for inclusion in Masters Theses by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. Is TPMT Testing a Predictor of Duration of Use or Long-Term Benefit of Thiopurine Agents? Shatoya Renee Wilson A Thesis Submitted to the Graduate Faculty of GRAND VALLEY STATE UNIVERSITY In Partial Fulfillment of the Requirements For the Degree of Master of Health Science Biomedical Science December 2018 Dedication This is dedicated to my sister and father, for their support and love. I thank you for listening to me when I needed to practice with or vent to someone. I would also like to dedicate this to my thesis committee, who helped me grow as a student and researcher. For your guidance, I am grateful. 3 Acknowledgements I would like to thank my thesis committee, Dr. Debra Burg, David Chesla, and Dr. John Capodilupo for their mentorship and guidance. -
Recent Topics on the Mechanisms of Immunosuppressive Therapy-Related Neurotoxicities
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 29 May 2019 doi:10.20944/preprints201905.0358.v1 Peer-reviewed version available at Int. J. Mol. Sci. 2019, 20, 3210; doi:10.3390/ijms20133210 1 of 39 1 Review 2 Recent topics on the mechanisms of 3 immunosuppressive therapy-related neurotoxicities 4 Wei Zhang 1, Nobuaki Egashira 1,2,* and Satohiro Masuda 1,2 5 1 Department of Clinical Pharmacology and Biopharmaceutics, Graduate School of Pharmaceutical Sciences, 6 Kyushu University, Fukuoka 812-8582, Japan 7 2 Department of Pharmacy, Kyushu University Hospital, Fukuoka 812-8582, Japan 8 * Correspondence: [email protected], Tel.: 81-92-642-5920 9 Abstract: Although transplantation procedures have been developed for patients with end-stagec 10 hepatic insufficiency or other diseases, allograft rejection still threatens patient health and lifespan. 11 Over the last few decades, the emergence of immunosuppressive agents, such as calcineurin 12 inhibitors (CNIs) and mammalian target of rapamycin (mTOR) inhibitors, have strikingly 13 increased graft survival. Unfortunately, immunosuppressive agent-related neurotoxicity is 14 commonly occurred in clinical situations, with the majority of neurotoxicity cases caused by CNIs. 15 The possible mechanisms whereby CNIs cause neurotoxicity include: increasing the permeability 16 or injury of the blood-brain barrier, alterations of mitochondrial function, and alterations in 17 electrophysiological state. Other immunosuppressants can also induce neuropsychiatric 18 complications. For example, mTOR inhibitors induce seizures; mycophenolate mofetil induces 19 depression and headache; methotrexate affects the central nervous system; mouse monoclonal 20 immunoglobulin G2 antibody against cluster of differentiation 3 also induces headache; and 21 patients using corticosteroids usually experience cognitive alteration. -
Severe Myelotoxicity Associated with Thiopurine S-Methyltransferase*3A
Case Report DOI: 10.4274/tjh.2013.0082 Severe Myelotoxicity Associated with Thiopurine S-Methyltransferase*3A/*3C Polymorphisms in a Patient with Pediatric Leukemia and the Effect of Steroid Therapy Pediatrik Bir Lösemi Olgusunda Tiyopurin S-Metiltransferaz *3A/*3C Polimorfizmi ile İlişkili Ağır Miyelotoksisite-Steroid Tedavisinin Etkisi Burcu Fatma Belen1, Türkiz Gürsel1, Nalan Akyürek2, Meryem Albayrak3, Zühre Kaya1, Ülker Koçak1 1Gazi University Faculty of Medicine, Department of Pediatric Hematology, Ankara, Turkey 2Gazi University Faculty of Medicine, Department of Pathology, Ankara, Turkey 3Kırıkkale University Faculty of Medicine, Department of Pediatric Hematology, Ankara, Turkey Abstract: Myelosuppression is a serious complication during treatment of acute lymphoblastic leukemia and the duration of myelosuppression is affected by underlying bone marrow failure syndromes and drug pharmacogenetics caused by genetic polymorphisms. Mutations in the thiopurine S-methyltransferase (TPMT) gene causing excessive myelosuppression during 6-mercaptopurine (MP) therapy may cause excessive bone marrow toxicity. We report the case of a 15-year-old girl with T-ALL who developed severe pancytopenia during consolidation and maintenance therapy despite reduction of the dose of MP to 5% of the standard dose. Prednisolone therapy produced a remarkable but transient bone marrow recovery. Analysis of common TPMT polymorphisms revealed TPMT *3A/*3C. Key Words: Myelosuppression, Thiopurine S-methyl transferase, Acute leukemia Özet: Miyelosupresyon, -
Biological Target and Its Mechanism He Zuan* Department of Pharmacology, School of Medicine,Shenzhen University, Shenzhen 518000, China
OPEN ACCESS Freely available online Journal of Cell Signaling Editorial Biological Target and Its Mechanism He Zuan* Department of Pharmacology, School of Medicine,Shenzhen University, Shenzhen 518000, China EDITORIAL NOTE 1. There is no direct change in the biological target, but the binding of the substance stops other endogenous substances (such Biological target is whatsoever within an alive organism to which as triggering hormones) from binding to the target. Contingent some other entity (like an endogenous drug or ligand) is absorbed on the nature of the target, this effect is mentioned as receptor and binds, subsequent in a modification in its function or antagonism, ion channel blockade or enzyme inhibition. behaviour. For examples of mutual biological targets are nucleic acids and proteins. Definition is context dependent, and can refer 2. A conformational change in the target is induced by the stimulus to the biological target of a pharmacologically active drug multiple, which results in a change in target function. This change in function the receptor target of a hormone like insulin, or some other target can mimic the effect of the endogenous substance in which case of an external stimulus. Biological targets are most commonly the effect is referred to as receptor agonism or be the opposite of proteins such as ion channels, enzymes, and receptors. The term the endogenous substance which in the case of receptors is referred "biological target" is regularly used in research of pharmaceutical to as inverse agonism. to describe the nastive protein in body whose activity is altered Conservation Ecology: These biological targets are conserved by a drug subsequent in a specific effect, which may a desirable across species, making pharmaceutical pollution of the therapeutic effect or an unwanted adverse effect. -
Risk-Adapted Therapy for Young Children with Embryonal Brain Tumors, High-Grade Glioma, Choroid Plexus Carcinoma Or Ependymoma (Sjyc07)
SJCRH SJYC07 CTG# - NCT00602667 Initial version, dated: 7/25/2007, Resubmitted to CPSRMC 9/24/2007 and 10/6/2007 (IRB Approved: 11/09/2007) Activation Date: 11/27/2007 Amendment 1.0 dated January 23, 2008, submitted to CPSRMC: January 23, 2008, IRB Approval: March 10, 2008 Amendment 2.0 dated April 16, 2008, submitted to CPSRMC: April 16, 2008, (IRB Approval: May 13, 2008) Revision 2.1 dated April 29, 2009 (IRB Approved: April 30, 2009 ) Amendment 3.0 dated June 22, 2009, submitted to CPSRMC: June 22, 2009 (IRB Approved: July 14, 2009) Activated: August 11, 2009 Amendment 4.0 dated March 01, 2010 (IRB Approved: April 20, 2010) Activated: May 3, 2010 Amendment 5.0 dated July 19, 2010 (IRB Approved: Sept 17, 2010) Activated: September 24, 2010 Amendment 6.0 dated August 27, 2012 (IRB approved: September 24, 2012) Activated: October 18, 2012 Amendment 7.0 dated February 22, 2013 (IRB approved: March 13, 2013) Activated: April 4, 2013 Amendment 8.0 dated March 20, 2014. Resubmitted to IRB May 20, 2014 (IRB approved: May 22, 2014) Activated: May 30, 2014 Amendment 9.0 dated August 26, 2014. (IRB approved: October 14, 2014) Activated: November 4, 2014 Un-numbered revision dated March 22, 2018. (IRB approved: March 27, 2018) Un-numbered revision dated October 22, 2018 (IRB approved: 10-24-2018) RISK-ADAPTED THERAPY FOR YOUNG CHILDREN WITH EMBRYONAL BRAIN TUMORS, HIGH-GRADE GLIOMA, CHOROID PLEXUS CARCINOMA OR EPENDYMOMA (SJYC07) Principal Investigator Amar Gajjar, M.D. Division of Neuro-Oncology Department of Oncology Section Coordinators David Ellison, M.D., Ph.D. -
Uncovering New Drug Properties in Target-Based Drug-Drug Similarity Networks
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.12.988600; this version posted March 12, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Uncovering new drug properties in target-based drug-drug similarity networks Lucret¸ia Udrescu1, Paul Bogdan2, Aim´eeChi¸s3, Ioan Ovidiu S^ırbu3,6, Alexandru Top^ırceanu4, Renata-Maria V˘arut¸5, Mihai Udrescu4,6* 1 Department of Drug Analysis, "Victor Babe¸s",University of Medicine and Pharmacy Timi¸soara,Timi¸soara,Romania 2 Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA 3 Department of Biochemistry, "Victor Babe¸s"University of Medicine and Pharmacy Timi¸soara,Timi¸soara,Romania 4 Department of Computer and Information Technology, Politehnica University of Timi¸soara,Timi¸soara,Romania 5 Faculty of Pharmacy, University of Medicine and Pharmacy of Craiova, Craiova, Romania 6 Timi¸soaraInstitute of Complex Systems, Timi¸soara,Romania * [email protected] Abstract Despite recent advances in bioinformatics, systems biology, and machine learning, the accurate prediction of drug properties remains an open problem. Indeed, because the biological environment is a complex system, the traditional approach { based on knowledge about the chemical structures { cannot fully explain the nature of interactions between drugs and biological targets. Consequently, in this paper, we propose an unsupervised machine learning approach that uses the information we know about drug-target interactions to infer drug properties.