The Multi-Kinase Inhibitor Debio 0617B Reduces Maintenance and Self-Renewal of Primary Human AML CD34 Stem/Progenitor Cells
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Stanford Chem-H Presentation (PDF)
KiNativ® In situ kinase profiling Stanford University ChEM-H confidential @KiNativPlatform Principle of the KiNativ platform • ATP (or ADP) acyl phosphate binds to, and covalently modifies Lysine residues in the active site • Thus, ATP acyl phosphate with a desthiobiotin tag can be used capture and quantitate kinases in a complex lysate Acyl phosphate Desthiobiotin tag ATP 2 ATP acyl phosphate probe covalently modifies kinase in the active site Lysine 2 Lysine 1 3 ATP acyl phosphate probe covalently modifies kinase in the active site Lysine 2 Lysine 1 4 Samples trypsinized, probe-labeled peptides captured with streptavidin, and analyzed by targeted LC-MS2 Identification Quantitation Explicit determination of peptide Integration of signal from MS2 sequence and probe modification site fragment ions from MS2 spectrum 5 Comprehensive Coverage of Protein and Lipid Kinases Protein kinases Atypical kinases Green: Kinases detected on KiNativ Red: Kinases not detected on KiNativ ~80% of known protein and atypical kinases identified on the platform http://www.kinativ.com/coverage/protein-lipid.html 6 Profiling compound(s) on the KiNativ platform Control sample – add probe Sample: Lysate derived from any cell line or tissue from ANY species Treated sample – add inhibitor followed by probe Inhibited kinase Green: Kinases Blue: Probe Gray: Non-kinases Red: Inhibitor 7 Profiling compound(s) on the KiNativ platform Control sample – add probe MS signalMS Sample: Lysate derived from any cell line or tissue from ANY species Treated sample – add inhibitor -
Cancer Subtype Identification Using Somatic Mutation Data
www.nature.com/bjc ARTICLE Genetics and Genomics Cancer subtype identification using somatic mutation data Marieke Lydia Kuijjer 1,2, Joseph Nathaniel Paulson1,2,3, Peter Salzman4, Wei Ding5 and John Quackenbush1,2,6 BACKGROUND: With the onset of next-generation sequencing technologies, we have made great progress in identifying recurrent mutational drivers of cancer. As cancer tissues are now frequently screened for specific sets of mutations, a large amount of samples has become available for analysis. Classification of patients with similar mutation profiles may help identifying subgroups of patients who might benefit from specific types of treatment. However, classification based on somatic mutations is challenging due to the sparseness and heterogeneity of the data. METHODS: Here we describe a new method to de-sparsify somatic mutation data using biological pathways. We applied this method to 23 cancer types from The Cancer Genome Atlas, including samples from 5805 primary tumours. RESULTS: We show that, for most cancer types, de-sparsified mutation data associate with phenotypic data. We identify poor prognostic subtypes in three cancer types, which are associated with mutations in signal transduction pathways for which targeted treatment options are available. We identify subtype–drug associations for 14 additional subtypes. Finally, we perform a pan-cancer subtyping analysis and identify nine pan-cancer subtypes, which associate with mutations in four overarching sets of biological pathways. CONCLUSIONS: This study is an important step toward understanding mutational patterns in cancer. British Journal of Cancer (2018) 118:1492–1501; https://doi.org/10.1038/s41416-018-0109-7 INTRODUCTION However, subtype classification using somatic mutations in Cancer is a heterogeneous disease that can develop in different cancer is challenging, mainly because the data are very sparse: tissues and cell types. -
Suppression of Signal Transducer and Activator of Transcription 3 Activation by Butein Inhibits Growth of Human Hepatocellular Carcinoma in Vivo
Author Manuscript Published OnlineFirst on December 3, 2010; DOI: 10.1158/1078-0432.CCR-10-1123 AuthorPublished manuscripts OnlineFirst have been on peer December reviewed and 3, accepted 2010 as for 10.1158/1078-0432.CCR-10-1123 publication but have not yet been edited. Suppression of Signal Transducer and Activator of Transcription 3 Activation by Butein Inhibits Growth of Human Hepatocellular Carcinoma in vivo Peramaiyan Rajendran1, Tina H. Ong2, Luxi Chen1,3, Feng Li1, Muthu K Shanmugam1, Shireen Vali4, Taher Abbasi4, Shweta Kapoor4, Ashish Sharma4, Alan Prem Kumar1,3, Kam M. Hui2,5 Gautam Sethi1,5 1Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, 2Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research National Cancer Centre, Singapore 169610, 3Cancer Science Institute of Singapore, National University of Singapore, and 4Cellworks Group Inc., California 95070; 4Cellworks Research India Pvt. Ltd, Bangalore 560066, India. Running title: Butein inhibits STAT3 signaling in vitro and in vivo in HCC. 5To whom correspondence should be addressed: 1. Dr. Gautam Sethi, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Phone: +65-65163267; Fax: +65- 68737690; Email: [email protected] Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Copyright © 2010 American Association for Cancer Research Downloaded from clincancerres.aacrjournals.org on September 27, 2021. © 2010 American Association for Cancer Research. Author Manuscript Published OnlineFirst on December 3, 2010; DOI: 10.1158/1078-0432.CCR-10-1123 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
Download Product Insert (PDF)
PRODUCT INFORMATION Pacritinib Item No. 16709 CAS Registry No.: 937272-79-2 Formal Name: 11-[2-(1-pyrrolidinyl)ethoxy]-14,19-dioxa- 5,7,27-triazatetracyclo[19.3.1.12,6.18,12] O heptacosa-1(25),2,4,6(27),8,10,12(26), 16E,21,23-decaene Synonym: SB1518 N N H MF: C28H32N4O3 FW: 472.6 N Purity: ≥98% O Stability: ≥2 years at -20°C Supplied as: A crystalline solid N O UV/Vis.: λmax: 285 nm Laboratory Procedures For long term storage, we suggest that pacritinib be stored as supplied at -20°C. It should be stable for at least two years. Pacritinib is supplied as a crystalline solid. A stock solution may be made by dissolving the pacritinib in the solvent of choice. Pacritinib is soluble in the organic solvent DMSO, which should be purged with an inert gas, at a concentration of approximately 0.5 mg/ml (slightly warmed). Pacritinib is sparingly soluble in aqueous solutions. To enhance aqueous solubility, dilute the organic solvent solution into aqueous buffers or isotonic saline. If performing biological experiments, ensure the residual amount of organic solvent is insignificant, since organic solvents may have physiological effects at low concentrations. We do not recommend storing the aqueous solution for more than one day. Description FMS-like tyrosine kinase 3 (FLT3) and Janus kinase 2 (JAK2) are tyrosine kinases that mediate cytokine signaling and are frequently mutated in cancers, particularly acute myeloid leukemia.1,2 Pacritinib is an 1 inhibitor of both FLT3 and JAK2 (IC50s = 22 and 23 nM, respectively). -
Biological Pathways and in Vivo Antitumor Activity Induced by Atiprimod in Myeloma
Leukemia (2007) 21, 2519–2526 & 2007 Nature Publishing Group All rights reserved 0887-6924/07 $30.00 www.nature.com/leu ORIGINAL ARTICLE Biological pathways and in vivo antitumor activity induced by Atiprimod in myeloma P Neri1,2,3, P Tassone1,2,3, M Shammas1, H Yasui2, E Schipani4, RB Batchu1, S Blotta1,2,3, R Prabhala1, L Catley2, M Hamasaki2, T Hideshima2, D Chauhan2, GS Jacob5, D Picker5, S Venuta3, KC Anderson2 and NC Munshi1,2 1Jerome Lipper Multiple Myeloma Center, Department of Adult Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; 2Boston VA Healthcare System, Department of Medicine, Harvard Medical School, MA, USA; 3Department of Experimental and Clinical Medicine, University of ‘Magna Græcia’ and Cancer Center, Catanzaro, Italy; 4Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA and 5Callisto Pharmaceuticals Inc., New York, NY, USA Atiprimod (Atip) is a novel oral agent with anti-inflammatory tion.7,8 Atip inhibits the inflammatory response and preserves properties. Although its in vitro activity and effects on signaling bone integrity in murine models of rheumatoid arthritis (RA),9–12 in multiple myeloma (MM) have been previously reported, here targets macrophages, inhibits phospholipase A and C in rat we investigated its molecular and in vivo effects in MM. Gene 13,14 expression analysis of MM cells identified downregulation of alveolar macrophages and exhibits antiproliferative and 15–17 genes involved in adhesion, cell-signaling, cell cycle and bone antiangiogenic activities in human cancer models. Impor- morphogenetic protein (BMP) pathways and upregulation of tantly, we have previously reported that Atip inhibits MM cell genes implicated in apoptosis and bone development, follow- growth, induces caspase-mediated apoptosis, blocks the phos- ing Atip treatment. -
Classification Decisions Taken by the Harmonized System Committee from the 47Th to 60Th Sessions (2011
CLASSIFICATION DECISIONS TAKEN BY THE HARMONIZED SYSTEM COMMITTEE FROM THE 47TH TO 60TH SESSIONS (2011 - 2018) WORLD CUSTOMS ORGANIZATION Rue du Marché 30 B-1210 Brussels Belgium November 2011 Copyright © 2011 World Customs Organization. All rights reserved. Requests and inquiries concerning translation, reproduction and adaptation rights should be addressed to [email protected]. D/2011/0448/25 The following list contains the classification decisions (other than those subject to a reservation) taken by the Harmonized System Committee ( 47th Session – March 2011) on specific products, together with their related Harmonized System code numbers and, in certain cases, the classification rationale. Advice Parties seeking to import or export merchandise covered by a decision are advised to verify the implementation of the decision by the importing or exporting country, as the case may be. HS codes Classification No Product description Classification considered rationale 1. Preparation, in the form of a powder, consisting of 92 % sugar, 6 % 2106.90 GRIs 1 and 6 black currant powder, anticaking agent, citric acid and black currant flavouring, put up for retail sale in 32-gram sachets, intended to be consumed as a beverage after mixing with hot water. 2. Vanutide cridificar (INN List 100). 3002.20 3. Certain INN products. Chapters 28, 29 (See “INN List 101” at the end of this publication.) and 30 4. Certain INN products. Chapters 13, 29 (See “INN List 102” at the end of this publication.) and 30 5. Certain INN products. Chapters 28, 29, (See “INN List 103” at the end of this publication.) 30, 35 and 39 6. Re-classification of INN products. -
Tanibirumab (CUI C3490677) Add to Cart
5/17/2018 NCI Metathesaurus Contains Exact Match Begins With Name Code Property Relationship Source ALL Advanced Search NCIm Version: 201706 Version 2.8 (using LexEVS 6.5) Home | NCIt Hierarchy | Sources | Help Suggest changes to this concept Tanibirumab (CUI C3490677) Add to Cart Table of Contents Terms & Properties Synonym Details Relationships By Source Terms & Properties Concept Unique Identifier (CUI): C3490677 NCI Thesaurus Code: C102877 (see NCI Thesaurus info) Semantic Type: Immunologic Factor Semantic Type: Amino Acid, Peptide, or Protein Semantic Type: Pharmacologic Substance NCIt Definition: A fully human monoclonal antibody targeting the vascular endothelial growth factor receptor 2 (VEGFR2), with potential antiangiogenic activity. Upon administration, tanibirumab specifically binds to VEGFR2, thereby preventing the binding of its ligand VEGF. This may result in the inhibition of tumor angiogenesis and a decrease in tumor nutrient supply. VEGFR2 is a pro-angiogenic growth factor receptor tyrosine kinase expressed by endothelial cells, while VEGF is overexpressed in many tumors and is correlated to tumor progression. PDQ Definition: A fully human monoclonal antibody targeting the vascular endothelial growth factor receptor 2 (VEGFR2), with potential antiangiogenic activity. Upon administration, tanibirumab specifically binds to VEGFR2, thereby preventing the binding of its ligand VEGF. This may result in the inhibition of tumor angiogenesis and a decrease in tumor nutrient supply. VEGFR2 is a pro-angiogenic growth factor receptor -
Cytokine Signaling in Tumor Progression
Immune Netw. 2017 Aug;17(4):214-227 https://doi.org/10.4110/in.2017.17.4.214 pISSN 1598-2629·eISSN 2092-6685 Review Article Cytokine Signaling in Tumor Progression Myungmi Lee, Inmoo Rhee* Department of Bioscience and Biotechnology, Sejong University, Seoul 05006, Korea Received: Apr 13, 2017 ABSTRACT Revised: Jun 22, 2017 Accepted: Jun 25, 2017 Cytokines are molecules that play critical roles in the regulation of a wide range of normal *Correspondence to functions leading to cellular proliferation, differentiation and survival, as well as in Inmoo Rhee specialized cellular functions enabling host resistance to pathogens. Cytokines released Department of Bioscience and Biotechnology, in response to infection, inflammation or immunity can also inhibit cancer development Sejong University, 209 Neungdong-ro, and progression. The predominant intracellular signaling pathway triggered by cytokines Gwangjin-gu, Seoul 05006, Korea. is the JAK-signal transducer and activator of transcription (STAT) pathway. Knockout mice Tel: +82-2-6935-2432 E-mail: [email protected] and clinical human studies have provided evidence that JAK-STAT proteins regulate the immune system, and maintain immune tolerance and tumor surveillance. Moreover, aberrant Copyright © 2017. The Korean Association of activation of the JAK-STAT pathways plays an undeniable pathogenic role in several types Immunologists of human cancers. Thus, in combination, these observations indicate that the JAK-STAT This is an Open Access article distributed under the terms of the Creative Commons proteins are promising targets for cancer therapy in humans. The data supporting this view Attribution Non-Commercial License (https:// are reviewed herein. creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial Keywords: Cytokine; JAK-STAT; Cancer; Kinase inhibitor use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Investigating the Mechanism of Hepatocellular Carcinoma Progression by Constructing Genetic and Epigenetic Networks Using NGS Data Identification and Big Database Mining Method
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 48 Research Paper Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining method Cheng-Wei Li1, Ping-Yao Chang1, Bor-Sen Chen1 1Laboratory of Control and Systems Biology, National Tsing Hua University, Hsinchu, Taiwan Correspondence to: Bor-Sen Chen, email: [email protected] Keywords: DNA methylation, multiple potential drugs, hepatocarcinogenesis, miRNAs, principal network projection Received: February 19, 2016 Accepted: October 26, 2016 Published: November 04, 2016 ABSTRACT The mechanisms leading to the development and progression of hepatocellular carcinoma (HCC) are complicated and regulated genetically and epigenetically. The recent advancement in high-throughput sequencing has facilitated investigations into the role of genetic and epigenetic regulations in hepatocarcinogenesis. Therefore, we used systems biology and big database mining to construct genetic and epigenetic networks (GENs) using the information about mRNA, miRNA, and methylation profiles of HCC patients. Our approach involves analyzing gene regulatory networks (GRNs), protein-protein networks (PPINs), and epigenetic networks at different stages of hepatocarcinogenesis. The core GENs, influencing each stage of HCC, were extracted via principal network projection (PNP). The pathways during different stages of HCC were compared. We observed that extracellular signals were further transduced to -
Spotlight Review
Leukemia (2009) 23, 10–24 & 2009 Macmillan Publishers Limited All rights reserved 0887-6924/09 $32.00 www.nature.com/leu SPOTLIGHT REVIEW Bone marrow microenvironment and the identification of new targets for myeloma therapy K Podar, D Chauhan and KC Anderson Department of Medical Oncology, LeBow Institute for Myeloma Therapeutics, Dana Farber Cancer Institute, Jerome Lipper Multiple Myeloma Center, Harvard Medical School, Boston, MA, USA The development of multiple myeloma (MM) is a complex multi- Signaling cascades activated by cytokines, growth factors and/ step process involving both early and late genetic changes in or adhesion in MM cells include the Ras/Raf/MEK/MAPK- the tumor cell as well as selective supportive conditions by the k bone marrow (BM) microenvironment. Indeed, it is now well pathway, PI3K/Akt-pathway, the JAK/Stat3-pathway, the NF B- established that MM cell-induced disruption of the BM homeo- pathway and the Wnt-pathway. Promising intracellular targets stasis between the highly organized cellular and extracellular for novel therapies also include protein kinase C (PKC) and SPOTLIGHT compartments supports MM cell proliferation, survival, migra- heat-shock proteins (HSPs). Moreover, genomic profiling has tion and drug resistance through activation of various signaling now identified additional stage-specific intracellular targets, (for example, PI3K/Akt, JAK/Stat-, Raf/MEK/MAPK-, NFjB- and which are now under investigation as novel potential therapeutic Wnt-) pathways. Based on our enhanced understanding of the 2,4 functional importance of the MM BM microenvironment and its targets. inter-relation with the MM cell resulting in homing, seeding, Cell surface receptors include integrins, cadherins, selectins, proliferation and survival, new molecular targets have been syndecans, and the immunoglobulin superfamily of cell adhe- identified and derived treatment regimens in MM have already sion molecules including syndecan-1 (CD138), H-CAM (CD44), changed fundamentally during recent years. -
Pacritinib Combined with Sirolimus and Low-Dose Tacrolimus for GVHD
Author Manuscript Published OnlineFirst on March 22, 2021; DOI: 10.1158/1078-0432.CCR-20-4725 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Pidala J et al GVHD prevention with combined JAK2/mTOR inhibition Pacritinib combined with sirolimus and low-dose tacrolimus for GVHD prevention after allogeneic hematopoietic cell transplantation: Preclinical and Phase I trial results Authors: Joseph Pidala1-3, Kelly Walton4, Hany Elmariah1,3, Jongphil Kim5, Asmita Mishra1,3, Nelli Bejanyan1,3, Taiga Nishihori1,3, Farhad Khimani1,3, Lia Perez1,3, Rawan G. Faramand1,3, Marco L. Davila1-3, Michael L. Nieder1,3, Elizabeth M. Sagatys6, Shernan G. Holtan4, Nicholas J. Lawrence7, Harshani R. Lawrence7, Bruce R. Blazar8, Claudio Anasetti1-3, Said M. Sebti9, Brian C. Betts4* Affiliations: 1Department of Blood and Marrow Transplantation – Cellular Immunotherapy, Moffitt Cancer Center, Tampa, FL, USA, 2Department of Immunology, Moffitt Cancer Center, Tampa, FL, USA, 3Department of Oncologic Sciences, University of South Florida, Tampa, FL, USA, 4Division of Hematology, Oncology, and Transplantation, Department of Medicine, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA, 5Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA, 6Department of Hematopathology and Laboratory Medicine, Moffitt Cancer Center, Tampa, FL, USA, 7Department of Drug Discovery, Moffitt Cancer Center, Tampa, FL, USA, 8Division of Blood and Marrow Transplantation, Department of Pediatrics, Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA, 9Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, Virginia USA. Running Title: GVHD prevention with combined JAK2/mTOR inhibition *Address correspondence to: Brian C. Betts, MD Division of Hematology, Oncology, and Transplantation, Department of Medicine, University of Minnesota Nils Hasselmo Hall, Room 2-108, 312 Church Street SE Minneapolis, MN 55455 [email protected] COI statement: B.C.B. -
Comparison of Janus Kinase Inhibitors to Block the Type I Interferon Pathway in Human
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.08.430317; this version posted February 8, 2021. 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. Title: Comparison of Janus kinase inhibitors to block the type I interferon pathway in human skeletal muscle cells Authors: Travis B. Kinder1* and James Inglese1,2 1National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA, 2National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA *corresponding author: Travis B. Kinder, PhD Post-Doctoral Research Fellow, Assay Development and Screening Technology, National Center for Advancing Translational Sciences, National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850 [email protected] Funding: This work was supported by a grant from the Cure Juvenile Myositis Foundation and the intramural program of NCATS, NIH, project 1ZIATR000342 (J.I.). Competing interests: None ORCID iD: Travis Kinder: 0000-0003-4161-8213 and James Inglese: 0000-0002-7332-5717 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.02.08.430317; this version posted February 8, 2021. 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. Abstract The family of Janus kinases (JAK1, JAK2, JAK3, TYK2) mediate signal transduction from cytokine receptors by phosphorylation and activation of intracellular signaling pathways and transcription factors.