P2RY8-CRLF2 Fusion but Not for CRLF2 Over-Expression in Children with Intermediate Risk B-Cell Precursor Acute Lymphoblastic Leukemia

Total Page:16

File Type:pdf, Size:1020Kb

P2RY8-CRLF2 Fusion but Not for CRLF2 Over-Expression in Children with Intermediate Risk B-Cell Precursor Acute Lymphoblastic Leukemia Leukemia (2012) 26, 2245–2253 & 2012 Macmillan Publishers Limited All rights reserved 0887-6924/12 www.nature.com/leu ORIGINAL ARTICLE Poor prognosis for P2RY8-CRLF2 fusion but not for CRLF2 over-expression in children with intermediate risk B-cell precursor acute lymphoblastic leukemia C Palmi1,9, E Vendramini2,9, D Silvestri3,4, G Longinotti1, D Frison2, G Cario5, C Shochat6,7, M Stanulla5, V Rossi1, AM Di Meglio2, T Villa1, E Giarin2, G Fazio1, A Leszl2, M Schrappe5, G Basso2, A Biondi4, S Izraeli6, V Conter4,8, MG Valsecchi3,9, G Cazzaniga1,9 and G te Kronnie2,9 Pediatric B-cell precursor acute lymphoblastic leukemia (BCP-ALL) has achieved an 80% cure rate as a result of a risk-adapted therapy largely based on minimal residual disease (MRD) monitoring. However, relapse is still the most frequent adverse event, occurring mainly in the patients with intermediate MRD levels (intermediate risk, IR), emphasizing the need for new prognostic markers. We analyzed the prognostic impact of cytokine receptor-like factor 2 (CRLF2) over-expression and P2RY8-CRLF2 fusion in 464 BCP-ALL patients (not affected by Down syndrome and BCR-ABL negative) enrolled in the AIEOP-BFM ALL2000 study in Italy. In 22/464 (4.7%) samples, RQ-PCR showed CRLF2 over-expression (X20 times higher than the overall median). P2RY8-CRLF2 fusion was detected in 22/365 (6%) cases, with 10/22 cases also showing CRLF2 over-expression. P2RY8-CRLF2 fusion was the most relevant prognostic factor independent of CRLF2 over-expression with a threefold increase in risk of relapse. Significantly, the cumulative incidence of relapse of the P2RY8-CRLF2 þ patients in the IR group was high (61.1%±12.9 vs 17.6%±2.6, Po0.0001), similar to high-risk patients in AIEOP-BFM ALL2000 study. These results were confirmed in a cohort of patients treated in Germany. In conclusion, P2RY8-CRLF2 identifies a subset of BCP-ALL patients currently stratified as IR that could be considered for treatment intensification. Leukemia (2012) 26, 2245–2253; doi:10.1038/leu.2012.101 Keywords: CRLF2; pediatric BCP-ALL; prognosis INTRODUCTION (CRLF2)8–13 genes. The latter abnormality includes small The cure rate of new diagnosed pediatric B-cell precursor acute deletions within the pseudoautosomal region (PAR1) of the sex lymphoblastic leukemia (BCP-ALL) is higher than 80%. However, chromosomes as well as the translocation of this region to the the probability of survival of patients who relapse after treatment IGH@ locus on chromosome 14. Several studies have provided is only 30%. In the AIEOP-BFM ALL2000 study, risk group evidence for the mechanistic basis of the over-expression of CRLF2 8,10 stratification was largely based on minimal residual disease as a consequence of these chromosomal abnormalities. PAR1 (MRD) monitoring as a measure of early response to therapy. deletion juxtaposes the first non-coding exon of P2RY8 to the Approximately, 30% of patients were at standard risk (SR), 55% at first exon of CRLF2, leading to CRLF2 expression driven by the intermediate risk (IR) and 15% at high risk (HR) of relapse. In spite promoter of P2RY8. The translocation of PAR1 region to IGH@ of the risk-adapted therapy, the majority of relapses occur in the locus, however, brings CRLF2 under the control of IGH@ enhancer large heterogeneous IR group.1 Therefore, the identification of elements. Elevated CRLF2 expression was found to be associated disease features with prognostic values within current risk groups with IKZF1 deletions and activating JAK2 or CRLF2 point 10–12,14 remains a formidable challenge in childhood ALL. mutations. Chromosomal translocations that were identified as key factors CRLF2 rearrangements were shown to be correlated with poor 12,14 in the pathogenesis of ALL and provided essential prognostic outcome in BCP-ALL patients, but it is still under debate hallmarks have been incorporated in patient risk stratification. whether this prognostic value is associated to CRLF2 over- There is a need to identify which of the recently discovered expression or to specific CRLF2 aberrancies. Moreover, CRLF2 genetic alterations have the potential to improve patient aberrations were not proven to bear significant prognostic value 13 stratification2 as well as for the development of targeted in children with ALL treated on UK protocols. therapeutic approaches.3–5 Here, we present data on the incidence and prognostic impact In a subset of BCP-ALL patients without known chromosomal of CRLF2 over-expression, specifically P2RY8-CRLF2 fusion, at aberrations, two genomic abnormalities have been reported diagnosis in 464 Italian BCP-ALL children treated with the protocol that involve Ikaros (IKZF1)6,7 and cytokine receptor-like factor 2 of the Associazione Italiana Ematologia Oncologia Pediatrica 1Centro Ricerca Tettamanti, Clinica Pediatrica, Universita` di Milano Bicocca, Ospedale San Gerardo, Monza, Italy; 2Laboratory of Oncohematology, Department of Pediatrics, Universita` di Padova, Padova, Italy; 3Centro di Biostatistica per l’Epidemiologia Clinica, Universita` di Milano Bicocca, Monza, Italy; 4Clinica Pediatrica, Universita` di Milano Bicocca, Ospedale San Gerardo, Monza, Italy; 5Department of Pediatrics, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany; 6Sheba Medical Center, Tel Hashomer, Ramat Gan and Tel Aviv University, Tel Aviv, Israel; 7Migal-Galilee Bio-Technology Center, Kiryat-Shmona, Israel. and 8Pediatria, Ospedali Riuniti, Bergamo, Italy. Correspondence: Dr G Cazzaniga, Centro Ricerca Tettamanti, Clinica Pediatrica, Universita` di Milano Bicocca, Ospedale San Gerardo, Via Pergolesi, 33, 20900 Monza, Italy. E-mail: [email protected] 9These authors contributed equally to this work. Received 14 October 2011; revised 21 March 2012; accepted 30 March 2012; accepted article preview online 9 April 2012; advance online publication, 11 May 2012 Poor outcome of P2RY8-CRLF2 in childhood ALL C Palmi et al 2246 (AIEOP) and Berlin-Frankfurt-Munster (BFM) group (‘AIEOP-BFM P2RY8-CRLF2 rearrangement was tested in 365 patients at diagnosis ALL2000 protocol’) and the potential impact of P2RY8-CRLF2 and in 26 paired diagnosis and relapse samples for which leftover RNA was fusion within MRD-based subgroups. available. IGH@-CRLF2 translocation was screened in 8 out of 12 patients We also present data on CRLF2 over-expression and P2RY8- who were positive for CRLF2 over-expression (X20 times higher than CRLF2 fusion at BCP-ALL relapse and speculate on P2RY8-CRLF2 overall median) but negative for P2RY8-CRLF2 fusion at diagnosis. DNA was available from 34 patients positive for CRLF2 over-expression or P2RY8- as a secondary event in disease progression. CRLF2 fusion at diagnosis, and the following were analyzed: CRLF2 mutations (in 25 out of 34 patients), JAK2 mutations (in 32 out of 34 patients) and IKZF1 deletions (in 33 out of 34 patients). CRLF2 and JAK2 PATIENTS AND METHODS mutations were also analyzed in 6 and 32 paired diagnosis and relapse Patients samples, respectively. BCP-ALL patients consecutively enrolled in the AIEOP-BFM ALL2000 study The clinical characteristics of the analyzed patients compared with those in AIEOP Centers from February 2003 to July 2005, not affected by Down not analyzed (AIEOP-BFM ALL2000 study patients diagnosed between syndrome (DS) nor Philadelphia chromosome positive (Ph þ ), were September 2000 and July 2006) are shown in Supplementary Table 1, and included in the study cohort. CRLF2 expression was analyzed in 464 their event-free survival (EFS) curve is shown in Supplementary Figure 1a. patients at diagnosis and in 33 paired diagnosis and relapse samples, while Details of the study cohort are shown in the Supplementary Materials. a 1000 100 10 1 expression 0.1 CRLF2 0.01 1 100 200 300 400 Rank (464 pts) CRLF2 expression P2RY8-CRLF2 bc 1000 100 10 100 1 expression expression 10 0.1 CRLF2 CRLF2 1 5 10 15 20 1510 Rank (22 pts) Rank(12 pts) CRLF2 expression IGH@-CRLF2 P2RY8-CRLF2 CRLF2 expression P2RY8-CRLF2 JAK2 mutations JAK2 mutations CRLF2 mutations IKZF1 deletions CRLF2 mutations IKZF1 deletions d Total P2RY8-CRLF2 IGH@-CRLF2 CRLF2 mut JAK2 mut IKZF1 del hiCRLF2 22/464(4.7%) 10/20 1/8 2/22 4/22 5/22 P2RY8-CRLF2 pos 22/365 (6.0%) - - 2/14 4/21 4/21 hiCRLF2 & P2RY8-CRLF2 pos 10/365 (2.7%) - - 2/10 3/10 3/10 hiCRLF2 & P2RY8-CRLF2 neg 10/365 (2.7%) - 1/8 0/10 1/10 1/10 loCRLF2 & P2RY8-CRLF2 pos 12/365 (3.3%) --0/4 1/10 2/11 mut, mutations; del, deletions. Figure 1. CRLF2 expression and genomic alterations. (a) CRLF2 expression in 464 BCP-ALL patients. For each case results are reported as fold changes on the median expression value of all patients in the cohort. Expression ranged from 0.006- to 810-fold change. (b) Additional genomic aberrations in hiCRLF2 patients. In bright blue are cases not tested for P2RY8-CRLF2 fusion. (c) Additional genomic aberrations in loCRLF2 P2RY8-CRLF2-positive patients. (d) Details on the combination of CRLF2 expression, P2RY8-CRLF2 fusion and other genomic aberrations. Leukemia (2012) 2245 – 2253 & 2012 Macmillan Publishers Limited Poor outcome of P2RY8-CRLF2 in childhood ALL C Palmi et al 2247 In addition, 194 SR and 286 IR consecutive patients (non-DS and Ph À ) Protocol stratification enrolled in the AIEOP-BFM ALL2000 study and treated in German Centers Patient risk groups were defined as follows. The HR group included 12 (BFM-G) were analyzed by reverse transcriptase PCR (RT-PCR) for P2RY8- patients with any of the following criteria: t(4;11) or MLL/AF4, prednisone CRLF2 rearrangement, as a validation cohort. poor response (X1000 blasts/ml on day 8 peripheral blood after 7 days of Informed consent to participate in the study was obtained for all prednisone and one dose of intrathecal methotrexate on day 1), inability to patients by parents or legal guardians.
Recommended publications
  • Clinical Application of Whole Transcriptome Sequencing for The
    Walter et al. BMC Cancer (2021) 21:886 https://doi.org/10.1186/s12885-021-08635-5 RESEARCH Open Access Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemia Wencke Walter1*, Rabia Shahswar2, Anna Stengel1, Manja Meggendorfer1, Wolfgang Kern1, Torsten Haferlach1 and Claudia Haferlach1 Abstract Background: Considering the clinical and genetic characteristics, acute lymphoblastic leukemia (ALL) is a rather heterogeneous hematological neoplasm for which current standard diagnostics require various analyses encompassing morphology, immunophenotyping, cytogenetics, and molecular analysis of gene fusions and mutations. Hence, it would be desirable to rely on a technique and an analytical workflow that allows the simultaneous analysis and identification of all the genetic alterations in a single approach. Moreover, based on the results with standard methods, a significant amount of patients have no established abnormalities and hence, cannot further be stratified. Methods: We performed WTS and WGS in 279 acute lymphoblastic leukemia (ALL) patients (B-cell: n = 211; T-cell: n = 68) to assess the accuracy of WTS, to detect relevant genetic markers, and to classify ALL patients. Results: DNA and RNA-based genotyping was used to ensure correct WTS-WGS pairing. Gene expression analysis reliably assigned samples to the B Cell Precursor (BCP)-ALL or the T-ALL group. Subclassification of BCP-ALL samples was done progressively, assessing first the presence of chromosomal rearrangements by the means of fusion detection. Compared to the standard methods, 97% of the recurrent risk-stratifying fusions could be identified by WTS, assigning 76 samples to their respective entities. Additionally, read-through fusions (indicative of CDKN2A and RB1 gene deletions) were recurrently detected in the cohort along with 57 putative novel fusions, with yet untouched diagnostic potentials.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Targeting TSLP-Induced Tyrosine Kinase Signaling Pathways in CRLF2-Rearranged Ph-Like ALL Keith C.S
    Published OnlineFirst August 14, 2020; DOI: 10.1158/1541-7786.MCR-19-1098 MOLECULAR CANCER RESEARCH | CANCER GENES AND NETWORKS Targeting TSLP-Induced Tyrosine Kinase Signaling Pathways in CRLF2-Rearranged Ph-like ALL Keith C.S. Sia1, Ling Zhong2, Chelsea Mayoh1, Murray D. Norris1,3, Michelle Haber1, Glenn M. Marshall1,4, Mark J. Raftery2, and Richard B. Lock1,3 ABSTRACT ◥ Philadelphia (Ph)-like acute lymphoblastic leukemia (ALL) is combination cytotoxicity assays using the tyrosine kinase inhi- characterized by aberrant activation of signaling pathways and bitors BMS-754807 and ponatinib that target IGF1R and FGFR1, high risk of relapse. Approximately 50% of Ph-like ALL cases respectively, revealed strong synergy against both cell line and overexpress cytokine receptor-like factor 2 (CRLF2) associated patient-derived xenograft (PDX) models of CRLF2r Ph-like ALL. with gene rearrangement. Activated by its ligand thymic stromal Further analyses also indicated off-target effects of ponatinib in lymphopoietin (TSLP), CRLF2 signaling is critical for the devel- the synergy, and novel association of the Ras-associated protein- opment, proliferation, and survival of normal lymphocytes. To 1 (Rap1) signaling pathway with TSLP signaling in CRLF2r Ph- examine activation of tyrosine kinases regulated by TSLP/CRLF2, like ALL. When tested in vivo, the BMS-754807/ponatinib com- phosphotyrosine (P-Tyr) profiling coupled with stable isotope bination exerted minimal efficacy against 2 Ph-like ALL PDXs, labeling of amino acids in cell culture (SILAC) was conducted associated with low achievable plasma drug concentrations. using two CRLF2-rearranged (CRLF2r) Ph-like ALL cell lines Although this study identified potential new targets in CRLF2r stimulated with TSLP.
    [Show full text]
  • Dux4r, Znf384r and PAX5-P80R Mutated B-Cell Precursor Acute
    Acute Lymphoblastic Leukemia SUPPLEMENTARY APPENDIX DUX4r , ZNF384r and PAX5 -P80R mutated B-cell precursor acute lymphoblastic leukemia frequently undergo monocytic switch Michaela Novakova, 1,2,3* Marketa Zaliova, 1,2,3* Karel Fiser, 1,2* Barbora Vakrmanova, 1,2 Lucie Slamova, 1,2,3 Alena Musilova, 1,2 Monika Brüggemann, 4 Matthias Ritgen, 4 Eva Fronkova, 1,2,3 Tomas Kalina, 1,2,3 Jan Stary, 2,3 Lucie Winkowska, 1,2 Peter Svec, 5 Alexandra Kolenova, 5 Jan Stuchly, 1,2 Jan Zuna, 1,2,3 Jan Trka, 1,2,3 Ondrej Hrusak 1,2,3# and Ester Mejstrikova 1,2,3# 1CLIP - Childhood Leukemia Investigation Praguerague, Czech Republic; 2Department of Paediatric Hematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic; 3University Hospital Motol, Prague, Czech Republic; 4Department of In - ternal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany and 5Comenius University, National Institute of Children’s Dis - eases, Bratislava, Slovakia *MN, MZ and KF contributed equally as co-first authors. #OH and EM contributed equally as co-senior authors. ©2021 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2020.250423 Received: February 18, 2020. Accepted: June 25, 2020. Pre-published: July 9, 2020. Correspondence: ESTER MEJSTRIKOVA - [email protected] Table S1. S1a. List of antibodies used for diagnostic immunophenotyping. Antibody Fluorochrome Clone Catalogue number Manufacturer CD2 PE 39C1.5 A07744 Beckman Coulter CD3 FITC UCHT1 1F-202-T100 Exbio CD4 PE-Cy7
    [Show full text]
  • WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
    (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US).
    [Show full text]
  • Characterisation of the Genomic Landscape of CRLF2‐Rearranged Acute Lymphoblastic Leukemia
    Characterisation of the Genomic Landscape of CRLF2- rearranged Acute Lymphoblastic Leukemia Lisa J Russell1*, Lisa Jones1, Amir Enshaei1, Stefano Tonin1, Sarra L Ryan1, Jeyanthy Eswaran1 , Sirintra Nakjang2, Elli Papaemmanuil3,4, Jose M C Tubio4, Adele K Fielding5, Ajay Vora6, Peter J Campbell4, Anthony V Moorman1, and Christine J Harrison1 1 Leukaemia Research Cytogenetics Group, Northern Institute for Cancer Research, Newcastle University, Newcastle-upon-Tyne, UK 2 Bioinformatics Support Unit, Newcastle University, Newcastle-upon-Tyne, UK 3 Memorial Sloan Kettering Cancer Center, USA 4 Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK 5 Research Department of Haemaoloty, UCL Cancer Institute, London, UK 6 Department of Haematology, Sheffield Children’s Hospital, Sheffield, UK; AVM and CJH contributed equally to this study Running Title – Genomic landscape of CRLF2 rearranged leukemia Correspondence to: Dr Lisa J Russell, Wolfson Childhood Cancer Research Centre, Northern Institute for Cancer Research, Newcastle University, Level 6, Herschel Building, Brewery Lane, Newcastle upon Tyne, NE1 7RU, [email protected]. Acknowledgements Support by: The Kay Kendall Leukaemia Fund, Leuka, European Haematology Association and Bloodwise (formerly Leukaemia and Lymphoma Research) This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as an ‘Accepted Article’, doi: 10.1002/gcc.22439 This article is protected by copyright. All rights reserved. Genes, Chromosomes & Cancer Page 2 of 147 Deregulated expression of the type I cytokine receptor, CRLF2, is observed in 5-15% of precursor B-cell acute lymphoblastic leukaemia (B-ALL).
    [Show full text]
  • G Protein-Coupled Receptors
    S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading.
    [Show full text]
  • Most Variable Genes and Transcription Factors in Acute Lymphoblastic Leukemia Patients
    Interdisciplinary Sciences: Computational Life Sciences https://doi.org/10.1007/s12539-019-00325-y ORIGINAL RESEARCH ARTICLE Most Variable Genes and Transcription Factors in Acute Lymphoblastic Leukemia Patients Anil Kumar Tomar1 · Rahul Agarwal2 · Bishwajit Kundu1 Received: 24 September 2018 / Revised: 21 January 2019 / Accepted: 26 February 2019 © International Association of Scientists in the Interdisciplinary Areas 2019 Abstract Acute lymphoblastic leukemia (ALL) is a hematologic tumor caused by cell cycle aberrations due to accumulating genetic disturbances in the expression of transcription factors (TFs), signaling oncogenes and tumor suppressors. Though survival rate in childhood ALL patients is increased up to 80% with recent medical advances, treatment of adults and childhood relapse cases still remains challenging. Here, we have performed bioinformatics analysis of 207 ALL patients’ mRNA expression data retrieved from the ICGC data portal with an objective to mark out the decisive genes and pathways responsible for ALL pathogenesis and aggression. For analysis, 3361 most variable genes, including 276 transcription factors (out of 16,807 genes) were sorted based on the coefcient of variance. Silhouette width analysis classifed 207 ALL patients into 6 subtypes and heat map analysis suggests a need of large and multicenter dataset for non-overlapping subtype classifcation. Overall, 265 GO terms and 32 KEGG pathways were enriched. The lists were dominated by cancer-associated entries and highlight crucial genes and pathways that can be targeted for designing more specifc ALL therapeutics. Diferential gene expression analysis identifed upregulation of two important genes, JCHAIN and CRLF2 in dead patients’ cohort suggesting their pos- sible involvement in diferent clinical outcomes in ALL patients undergoing the same treatment.
    [Show full text]
  • WO 2015/007520 Al 22 January 2015 (22.01.2015) P O P C T
    (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2015/007520 Al 22 January 2015 (22.01.2015) P O P C T (51) International Patent Classification: lon, F-34095 Montpellier (FR). GARCIN, Genevieve; Rue C07K 16/46 (2006.01) C07K 19/00 (2006.01) de Tyr 89, Montpellier, 34090 (FR). (21) International Application Number: (74) Common Representative: VIB VZW; Rijvisschestraat PCT/EP2014/063976 120, B-9052 Gent (BE). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 1 July 2014 (01 .07.2014) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, (25) Filing Language: English BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, (26) Publication Language: English DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 13306045.9 19 July 2013 (19.07.2013) EP MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, (71) Applicants: VIB VZW [BE/BE]; Rijvisschestraat 120, B- OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, 9052 Gent (BE). UNIVERSITEIT GENT [BE/BE]; Sint- SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, Pietersnieuwstraat 25, B-9000 Gent (BE). CENTRE NA¬ TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, TIONAL DE LA RECHERCHE SCIENTIFIQUE ZW.
    [Show full text]
  • G Protein‐Coupled Receptors
    S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: G protein-coupled receptors. British Journal of Pharmacology (2019) 176, S21–S141 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: G protein-coupled receptors Stephen PH Alexander1 , Arthur Christopoulos2 , Anthony P Davenport3 , Eamonn Kelly4, Alistair Mathie5 , John A Peters6 , Emma L Veale5 ,JaneFArmstrong7 , Elena Faccenda7 ,SimonDHarding7 ,AdamJPawson7 , Joanna L Sharman7 , Christopher Southan7 , Jamie A Davies7 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria 3052, Australia 3Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK 4School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 5Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 6Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 7Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide represents approximately 400 pages, the material presented is substantially reduced compared to information and links presented on the website.
    [Show full text]
  • Genetic Alterations in High-Risk B-Progenitor Acute Lymphoblastic Leukemia
    SECTION A Genetic Alterations in High-Risk B-Progenitor Acute Lymphoblastic Leukemia Charles G. Mullighan Abstract adulthood, cure rates for ALL fall sharply, and the genetic and biologic determinants of Recent studies profiling genetic alterations in treatment failure remain incompletely B-progenitor acute lymphoblastic leukemia understood (8,9). (B-ALL) at high resolution have identified multiple recurring submicroscopic genetic alterations ALL has long been exceptionally well targeting key cellular pathways in lymphoid cell characterized at the cytogenetic level, and growth, differentiation and tumor suppression. approximately three quarters of childhood ALL A key finding has been that genetic alterations cases harbor recurring gross genetic alterations, disrupting normal lymphoid growth and including chromosomal aneuploidy (high differentiation and are associated with treatment hyperdiploidy and hypodiploidy), and outcome. Notably, genetic alterations targeting rearrangements that dysregulate hematopoietic lymphoid development are present in over two- regulators, transcription factors, and tyrosine thirds of B-ALL cases, including deletions, kinases. These include rearrangements resulting translocations and sequence mutations of the in (e.g. ETV6-RUNX1, TCF3-PBX1, BCR-ABL1, transcriptional regulators PAX5, IKZF1, and EBF1. rearrangement of MLL, and rearrangements of Deletion or mutation of the early lymphoid T cell receptor genes to hematopoietic regulators transcription factor gene IKZF1 is hallmark of and transcription factors in T-lineage ALL) multiple subtypes of ALL with poor prognosis, (10,11). While alterations associated with including BCR-ABL1 positive (Ph+) lymphoid favorable outcome (e.g. high hyperdiploidy and leukemia and a novel subset of BCR-ABL1-like ETV6-RUNX1) are characteristic of childhood ALL cases that have a gene expression profile ALL, and the frequency of BCR-ABL1 similar to that of Ph+ B-ALL, but lack expression (Philadelphia chromosome positive, or Ph+) ALL of BCR-ABL1.
    [Show full text]
  • Down Syndrome Acute Lymphoblastic Leukemia, a Highly Heterogeneous
    Hertzberg, L; Vendramini, E; Ganmore, I; Cazzaniga, G; Schmitz, M; Chalker, J; Shiloh, R; Iacobucci, I; Shochat, C; Zeligson, S; Cario, G; Stanulla, M; Strehl, S; Russell, L J; Harrison, C J; Bornhauser, B; Yoda, A; Rechavi, G; Bercovich, D; Borkhardt, A; Kempski, H; te Kronnie, G; Bourquin, J P; Domany, E; Izraeli, S (2010). Down syndrome acute lymphoblastic leukemia, a highly heterogeneous disease in which aberrant expression of CRLF2 is associated with mutated JAK2: a report from the International BFM Study Group. Blood, 115(5):1006-1017. University of Zurich Postprint available at: Zurich Open Repository and Archive http://www.zora.uzh.ch Posted at the Zurich Open Repository and Archive, University of Zurich. http://www.zora.uzh.ch Winterthurerstr. 190 Originally published at: CH-8057 Zurich Blood 2010, 115(5):1006-1017. http://www.zora.uzh.ch Year: 2010 Down syndrome acute lymphoblastic leukemia, a highly heterogeneous disease in which aberrant expression of CRLF2 is associated with mutated JAK2: a report from the International BFM Study Group Hertzberg, L; Vendramini, E; Ganmore, I; Cazzaniga, G; Schmitz, M; Chalker, J; Shiloh, R; Iacobucci, I; Shochat, C; Zeligson, S; Cario, G; Stanulla, M; Strehl, S; Russell, L J; Harrison, C J; Bornhauser, B; Yoda, A; Rechavi, G; Bercovich, D; Borkhardt, A; Kempski, H; te Kronnie, G; Bourquin, J P; Domany, E; Izraeli, S Hertzberg, L; Vendramini, E; Ganmore, I; Cazzaniga, G; Schmitz, M; Chalker, J; Shiloh, R; Iacobucci, I; Shochat, C; Zeligson, S; Cario, G; Stanulla, M; Strehl, S; Russell, L J; Harrison, C J; Bornhauser, B; Yoda, A; Rechavi, G; Bercovich, D; Borkhardt, A; Kempski, H; te Kronnie, G; Bourquin, J P; Domany, E; Izraeli, S (2010).
    [Show full text]