Jadomycin B, an Aurora-B Kinase Inhibitor Discovered Through Virtual Screening
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Aurora Kinase a in Gastrointestinal Cancers: Time to Target Ahmed Katsha1, Abbes Belkhiri1, Laura Goff3 and Wael El-Rifai1,2,4*
Katsha et al. Molecular Cancer (2015) 14:106 DOI 10.1186/s12943-015-0375-4 REVIEW Open Access Aurora kinase A in gastrointestinal cancers: time to target Ahmed Katsha1, Abbes Belkhiri1, Laura Goff3 and Wael El-Rifai1,2,4* Abstract Gastrointestinal (GI) cancers are a major cause of cancer-related deaths. During the last two decades, several studies have shown amplification and overexpression of Aurora kinase A (AURKA) in several GI malignancies. These studies demonstrated that AURKA not only plays a role in regulating cell cycle and mitosis, but also regulates a number of key oncogenic signaling pathways. Although AURKA inhibitors have moved to phase III clinical trials in lymphomas, there has been slower progress in GI cancers and solid tumors. Ongoing clinical trials testing AURKA inhibitors as a single agent or in combination with conventional chemotherapies are expected to provide important clinical information for targeting AURKA in GI cancers. It is, therefore, imperative to consider investigations of molecular determinants of response and resistance to this class of inhibitors. This will improve evaluation of the efficacy of these drugs and establish biomarker based strategies for enrollment into clinical trials, which hold the future direction for personalized cancer therapy. In this review, we will discuss the available data on AURKA in GI cancers. We will also summarize the major AURKA inhibitors that have been developed and tested in pre-clinical and clinical settings. Keywords: Aurora kinases, Therapy, AURKA inhibitors, MNL8237, Alisertib, Gastrointestinal, Cancer, Signaling pathways Introduction stage [9-11]. Furthermore, AURKA is critical for Mitotic kinases are the main proteins that coordinate ac- bipolar-spindle assembly where it interacts with Ran- curate mitotic processing [1]. -
RASSF1A Interacts with and Activates the Mitotic Kinase Aurora-A
Oncogene (2008) 27, 6175–6186 & 2008 Macmillan Publishers Limited All rights reserved 0950-9232/08 $32.00 www.nature.com/onc ORIGINAL ARTICLE RASSF1A interacts with and activates the mitotic kinase Aurora-A L Liu1, C Guo1, R Dammann2, S Tommasi1 and GP Pfeifer1 1Division of Biology, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, USA and 2Institute of Genetics, University of Giessen, Giessen, Germany The RAS association domain family 1A (RASSF1A) gene tumorigenesis and carcinogen-induced tumorigenesis is located at chromosome 3p21.3 within a specific area of (Tommasi et al., 2005; van der Weyden et al., 2005), common heterozygous and homozygous deletions. RASS- supporting the notion that RASSF1A is a bona fide F1A frequently undergoes promoter methylation-asso- tumor suppressor. However, it is not fully understood ciated inactivation in human cancers. Rassf1aÀ/À mice how RASSF1A is involved in tumor suppression. are prone to both spontaneous and carcinogen-induced The biochemical function of the RASSF1A protein is tumorigenesis, supporting the notion that RASSF1A is a largely unknown. The homology of RASSF1A with the tumor suppressor. However, it is not fully understood how mammalian Ras effector novel Ras effector (NORE)1 RASSF1A is involved in tumor suppression pathways. suggests that the RASSF1A gene product may function Here we show that overexpression of RASSF1A inhibits in signal transduction pathways involving Ras-like centrosome separation. RASSF1A interacts with Aurora-A, proteins. However, recent data indicate that RASSF1A a mitotic kinase. Surprisingly, knockdown of RASS- itself binds to RAS only weakly and that binding to F1A by siRNA led to reduced activation of Aurora-A, RAS may require heterodimerization of RASSF1A and whereas overexpression of RASSF1A resulted in in- NORE1 (Ortiz-Vega et al., 2002). -
HIPK2 and Extrachromosomal Histone H2B Are Separately Recruited by Aurora-B for Cytokinesis
Oncogene https://doi.org/10.1038/s41388-018-0191-6 ARTICLE HIPK2 and extrachromosomal histone H2B are separately recruited by Aurora-B for cytokinesis 1 1 2 3 2 Laura Monteonofrio ● Davide Valente ● Manuela Ferrara ● Serena Camerini ● Roberta Miscione ● 3 1,2 1 Marco Crescenzi ● Cinzia Rinaldo ● Silvia Soddu Received: 14 November 2017 / Revised: 24 January 2018 / Accepted: 5 February 2018 © The Author(s) 2018. This article is published with open access Abstract Cytokinesis, the final phase of cell division, is necessary to form two distinct daughter cells with correct distribution of genomic and cytoplasmic materials. Its failure provokes genetically unstable states, such as tetraploidization and polyploidization, which can contribute to tumorigenesis. Aurora-B kinase controls multiple cytokinetic events, from chromosome condensation to abscission when the midbody is severed. We have previously shown that HIPK2, a kinase involved in DNA damage response and development, localizes at the midbody and contributes to abscission by phosphorylating extrachromosomal histone H2B at Ser14. Of relevance, HIPK2-defective cells do not phosphorylate H2B 1234567890();,: and do not successfully complete cytokinesis leading to accumulation of binucleated cells, chromosomal instability, and increased tumorigenicity. However, how HIPK2 and H2B are recruited to the midbody during cytokinesis is still unknown. Here, we show that regardless of their direct (H2B) and indirect (HIPK2) binding of chromosomal DNA, both H2B and HIPK2 localize at the midbody independently of nucleic acids. Instead, by using mitotic kinase-specific inhibitors in a spatio-temporal regulated manner, we found that Aurora-B kinase activity is required to recruit both HIPK2 and H2B to the midbody. -
Mtor REGULATES AURORA a VIA ENHANCING PROTEIN STABILITY
mTOR REGULATES AURORA A VIA ENHANCING PROTEIN STABILITY Li Fan Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the Department of Biochemistry and Molecular Biology, Indiana University December 2013 Accepted by the Graduate Faculty, of Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Lawrence A. Quilliam, Ph.D., Chair Doctoral Committee Simon J. Atkinson, Ph.D. Mark G. Goebl, Ph.D. October 22, 2013 Maureen A. Harrington, Ph.D. Ronald C. Wek, Ph.D. ii © 2013 Li Fan iii DEDICATION I dedicate this thesis to my family: to my parents, Xiu Zhu Fan and Shu Qin Yang, who have been loving, supporting, and encouraging me from the beginning of my life; to my husband Fei Huang, who provided unconditional support and encouragement through these years; to my son, David Yan Huang, who has made my life highly enjoyable and meaningful. iv ACKNOWLEDGMENTS I sincerely thank my mentor Dr. Lawrence Quilliam for his guidance, motivation, support, and encouragement during my dissertation work. His passion for science and the scientific and organizational skills I have learned from Dr. Quilliam made it possible for me to achieve this accomplishment. Many thanks to Drs. Ron Wek, Mark Goebl, Maureen Harrington, and Simon Atkinson for serving on my committee and providing constructive suggestions and technical advice during my Ph.D. program. I have had a pleasurable experience working with all the people in our laboratory. Thanks Drs. Justin Babcock and Sirisha Asuri, and Mr. -
The Aurora B Kinase Activity Is Required for the Maintenance of the Differentiated State of Murine Myoblasts
Cell Death and Differentiation (2009) 16, 321–330 & 2009 Macmillan Publishers Limited All rights reserved 1350-9047/09 $32.00 www.nature.com/cdd The Aurora B kinase activity is required for the maintenance of the differentiated state of murine myoblasts G Amabile1,2, AM D’Alise1, M Iovino1, P Jones3, S Santaguida4, A Musacchio4, S Taylor5 and R Cortese*,1 Reversine is a synthetic molecule capable of inducing dedifferentiation of C2C12, a murine myoblast cell line, into multipotent progenitor cells, which can be redirected to differentiate in nonmuscle cell types under appropriate conditions. Reversine is also a potent inhibitor of Aurora B, a protein kinase required for mitotic chromosome segregation, spindle checkpoint function, cytokinesis and histone H3 phosphorylation, raising the possibility that the dedifferentiation capability of reversine is mediated through the inhibition of Aurora B. Indeed, here we show that several other well-characterized Aurora B inhibitors are capable of dedifferentiating C2C12 myoblasts. Significantly, expressing drug-resistant Aurora B mutants, which are insensitive to reversine block the dedifferentiation process, indicating that Aurora B kinase activity is required to maintain the differentiated state. We show that the inhibition of the spindle checkpoint or cytokinesis per se is not sufficient for dedifferentiation. Rather, our data support a model whereby changes in histone H3 phosphorylation result in chromatin remodeling, which in turn restores the multipotent state. Cell Death and Differentiation (2009) 16, 321–330; doi:10.1038/cdd.2008.156; published online 31 October 2008 Lineage-restricted cells can be reprogramed to a state Evidence is emerging that the role of Aurora B is not of pluripotency by several different manipulations, including restricted to mitosis and cell division. -
Discovery of BPR1K871, a Quinazoline Based
www.impactjournals.com/oncotarget/ Oncotarget, 2016, Vol. 7, (No. 52), pp: 86239-86256 Research Paper Discovery of BPR1K871, a quinazoline based, multi-kinase inhibitor for the treatment of AML and solid tumors: Rational design, synthesis, in vitro and in vivo evaluation Yung Chang Hsu1,*, Mohane Selvaraj Coumar2,*, Wen-Chieh Wang1,*, Hui-Yi Shiao1,*, Yi-Yu Ke1, Wen-Hsing Lin1, Ching-Chuan Kuo1, Chun-Wei Chang1, Fu-Ming Kuo1, Pei-Yi Chen1, Sing-Yi Wang1, An-Siou Li1, Chun-Hwa Chen1, Po-Chu Kuo1, Ching- Ping Chen1, Ming-Hsine Wu1, Chen-Lung Huang1, Kuei-Jung Yen1, Yun-I Chang1, John T.-A. Hsu1, Chiung-Tong Chen1, Teng-Kuang Yeh1, Jen-Shin Song1, Chuan Shih1, Hsing-Pang Hsieh1,3 1Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, Taiwan, ROC 2Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Kalapet, Puducherry, India 3Department of Chemistry, National Tsing Hua University, Hsinchu, Taiwan, ROC *These authors contributed equally to this work Correspondence to: Hsing-Pang Hsieh, email: [email protected] Keywords: acute myeloid leukemia, aurora kinase, FLT3, quinazoline, multi-kinase inhibitor Received: July 25, 2016 Accepted: November 07, 2016 Published: November 15, 2016 ABSTRACT The design and synthesis of a quinazoline-based, multi-kinase inhibitor for the treatment of acute myeloid leukemia (AML) and other malignancies is reported. Based on the previously reported furanopyrimidine 3, quinazoline core containing lead 4 was synthesized and found to impart dual FLT3/AURKA inhibition (IC50 = 127/5 nM), as well as improved physicochemical properties. A detailed structure-activity relationship study of the lead 4 allowed FLT3 and AURKA inhibition to be finely tuned, resulting in AURKA selective (5 and 7; 100-fold selective over FLT3), FLT3 selective (13; 30-fold selective over AURKA) and dual FLT3/AURKA selective (BPR1K871; IC50 = 19/22 nM) agents. -
Covalent Aurora a Regulation by the Metabolic Integrator Coenzyme A
bioRxiv preprint doi: https://doi.org/10.1101/469585; this version posted November 14, 2018. 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-ND 4.0 International license. Covalent Aurora A regulation by the metabolic integrator coenzyme A Yugo Tsuchiya1#, Dominic P Byrne2#, Selena G Burgess3#, Jenny Bormann4, Jovana Bakovic1, Yueyan Huang1, Alexander Zhyvoloup1, Sew Peak-Chew5, Trang Tran6, Fiona Bellany6, Alethea Tabor6, AW Edith Chan7, Lalitha Guruprasad8, Oleg Garifulin9, Valeriy Filonenko9, Samantha Ferries10, Claire E Eyers10, John Carroll4^, Mark Skehel5, Richard Bayliss3*, Patrick A Eyers2* and Ivan Gout1,9* 1Department of Structural and Molecular Biology, University College London, London WC1E 6BT, UK 2Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK 3School of Molecular and Cellular Biology, Astbury Centre for Structural and Molecular Biology, University of Leeds, Leeds LS2 9JT, UK 4Department of Cell and Developmental Biology, University College London, London WC1E 6BT, UK 5MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK 6Department of Chemistry, University College London, London WC1E 6BT, UK 7Wolfson Institute for Biomedical Research, University College London, London WC1E 6BT, UK 8School of Chemistry, University of Hyderabad, Hyderabad 500 046, India 9Department of Cell -
Quantitative Conformational Profiling of Kinase Inhibitors Reveals Origins of Selectivity for Aurora Kinase Activation States
Quantitative conformational profiling of kinase inhibitors reveals origins of selectivity for Aurora kinase activation states Eric W. Lakea, Joseph M. Murettab, Andrew R. Thompsonb, Damien M. Rasmussenb, Abir Majumdara, Erik B. Faberc, Emily F. Ruffa, David D. Thomasb, and Nicholas M. Levinsona,d,1 aDepartment of Pharmacology, University of Minnesota, Minneapolis, MN 55455; bDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455; cDepartment of Medicinal Chemistry, University of Minnesota, Minneapolis, MN 55455; and dMasonic Cancer Center, University of Minnesota, Minneapolis, MN 55455 Edited by Kevan M. Shokat, University of California, San Francisco, CA, and approved November 7, 2018 (received for review June 28, 2018) Protein kinases undergo large-scale structural changes that tightly lytically important Asp–Phe–Gly (DFG) motif, located on the regulate function and control recognition by small-molecule in- flexible activation loop of the kinase, is flipped relative to its hibitors. Methods for quantifying the conformational effects of orientation in the active state (referred to as “DFG-out,” in inhibitors and linking them to an understanding of selectivity contrast to the active “DFG-in” state). The observation that the patterns have long been elusive. We have developed an ultrafast inactive DFG-out states of kinases are more divergent than the time-resolved fluorescence methodology that tracks structural catalytically competent DFG-in state has led to a focus on type II movements of the kinase activation loop in solution with inhibitors as a potential answer to the selectivity problem (8, 9). angstrom-level precision, and can resolve multiple structural states However, kinome-wide profiling of kinase inhibitors has revealed and quantify conformational shifts between states. -
Kinase-Targeted Cancer Therapies: Progress, Challenges and Future Directions Khushwant S
Bhullar et al. Molecular Cancer (2018) 17:48 https://doi.org/10.1186/s12943-018-0804-2 REVIEW Open Access Kinase-targeted cancer therapies: progress, challenges and future directions Khushwant S. Bhullar1, Naiara Orrego Lagarón2, Eileen M. McGowan3, Indu Parmar4, Amitabh Jha5, Basil P. Hubbard1 and H. P. Vasantha Rupasinghe6,7* Abstract The human genome encodes 538 protein kinases that transfer a γ-phosphate group from ATP to serine, threonine, or tyrosine residues. Many of these kinases are associated with human cancer initiation and progression. The recent development of small-molecule kinase inhibitors for the treatment of diverse types of cancer has proven successful in clinical therapy. Significantly, protein kinases are the second most targeted group of drug targets, after the G-protein- coupled receptors. Since the development of the first protein kinase inhibitor, in the early 1980s, 37 kinase inhibitors have received FDA approval for treatment of malignancies such as breast and lung cancer. Furthermore, about 150 kinase-targeted drugs are in clinical phase trials, and many kinase-specific inhibitors are in the preclinical stage of drug development. Nevertheless, many factors confound the clinical efficacy of these molecules. Specific tumor genetics, tumor microenvironment, drug resistance, and pharmacogenomics determine how useful a compound will be in the treatment of a given cancer. This review provides an overview of kinase-targeted drug discovery and development in relation to oncology and highlights the challenges and future potential for kinase-targeted cancer therapies. Keywords: Kinases, Kinase inhibition, Small-molecule drugs, Cancer, Oncology Background Recent advances in our understanding of the fundamen- Kinases are enzymes that transfer a phosphate group to a tal molecular mechanisms underlying cancer cell signaling protein while phosphatases remove a phosphate group have elucidated a crucial role for kinases in the carcino- from protein. -
Cell Cycle Genes 243831 at MAPK6
Identificación de vulnerabilidades en tumores sólidos: ¿aportes hacia una medicina personalizada? Alberto Ocana Albacete University Hospital Salamanca May 19th, 2016 WHAT IS PERSONALIZED MEDICINE? Molecular alteration------------targeted agents---------companion diagnostic Drugs with companion diagnostic Ocana A et al, Oncotarget 2016 Meta-analyses companion vs non-companion diagnostics PFS OS Meta-analyses of toxicities • Methods to identify oncogenic and non-oncogenic vulnerabilities • How to evaluate novel agents against them Our personal experience Synthetic Lethality Interactions Ocana A and Pandiella A, Personalized therapies in the cancr omics era. Mol Cancer 2010 Summary Mutation and copy number analyses Phospho-kinase profiling Transcriptomic analyses Synthetic Lethality Interactions- Evaluation of new drugs “Academic iniciatives: Drug developer” software as a tool Mutation and copy number analyses No very useful if not linked with a functional evaluation in a specific genetic context A somatic cancer driver event may depend on the constellation of polymorphisms already present in an individual’s germline . (Germline variants single nucleotide polymorphisms, SNPs). But it can be useful for: Clonal evolution of tumors Heterogeneity of tumors Monitor response to treatments and identify mechanism of resistance Single cell sequencing Circulating tumor DNA As a part of a global study; pathway level alterations Example: Evaluation of mutations in ER using circulating DNA in patients treated with palbociclib + hormonotherapy Phospho-kinase -
Epigenetic Regulation of Neurogenesis by Citron Kinase Matthew Irg Genti University of Connecticut - Storrs, [email protected]
University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 12-10-2015 Epigenetic Regulation of Neurogenesis By Citron Kinase Matthew irG genti University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Girgenti, Matthew, "Epigenetic Regulation of Neurogenesis By Citron Kinase" (2015). Doctoral Dissertations. 933. https://opencommons.uconn.edu/dissertations/933 Epigenetic Regulation Of Neurogenesis By Citron Kinase Matthew J. Girgenti, Ph.D. University of Connecticut, 2015 Patterns of neural progenitor division are controlled by a combination of asymmetries in cell division, extracellular signals, and changes in gene expression programs. In a screen for proteins that complex with citron kinase (CitK), a protein essential to cell division in developing brain, I identified the histone methyltransferase- euchromatic histone-lysine N-methyltransferse 2 (G9a). CitK is present in the nucleus and binds to positions in the genome clustered around transcription start sites of genes involved in neuronal development and differentiation. CitK and G9a co-occupy these genomic positions in S/G2-phase of the cell cycle in rat neural progenitors, and CitK functions with G9a to repress gene expression in several developmentally important genes including CDKN1a, H2afz, and Pou3f2/Brn2. The study indicates a novel function for citron kinase in gene repression, and contributes additional evidence to the hypothesis that mechanisms that coordinate gene expression states are directly linked to mechanisms that regulate cell division in the developing nervous system. Epigenetic Regulation Of Neurogenesis By Citron Kinase Matthew J. Girgenti B.S., Fairfield University, 2002 M.S., Southern Connecticut State University, 2004 A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy at the University of Connecticut 2015 ii Copyright by Matthew J. -
Figure S1. Reverse Transcription‑Quantitative PCR Analysis of ETV5 Mrna Expression Levels in Parental and ETV5 Stable Transfectants
Figure S1. Reverse transcription‑quantitative PCR analysis of ETV5 mRNA expression levels in parental and ETV5 stable transfectants. (A) Hec1a and Hec1a‑ETV5 EC cell lines; (B) Ishikawa and Ishikawa‑ETV5 EC cell lines. **P<0.005, unpaired Student's t‑test. EC, endometrial cancer; ETV5, ETS variant transcription factor 5. Figure S2. Survival analysis of sample clusters 1‑4. Kaplan Meier graphs for (A) recurrence‑free and (B) overall survival. Survival curves were constructed using the Kaplan‑Meier method, and differences between sample cluster curves were analyzed by log‑rank test. Figure S3. ROC analysis of hub genes. For each gene, ROC curve (left) and mRNA expression levels (right) in control (n=35) and tumor (n=545) samples from The Cancer Genome Atlas Uterine Corpus Endometrioid Cancer cohort are shown. mRNA levels are expressed as Log2(x+1), where ‘x’ is the RSEM normalized expression value. ROC, receiver operating characteristic. Table SI. Clinicopathological characteristics of the GSE17025 dataset. Characteristic n % Atrophic endometrium 12 (postmenopausal) (Control group) Tumor stage I 91 100 Histology Endometrioid adenocarcinoma 79 86.81 Papillary serous 12 13.19 Histological grade Grade 1 30 32.97 Grade 2 36 39.56 Grade 3 25 27.47 Myometrial invasiona Superficial (<50%) 67 74.44 Deep (>50%) 23 25.56 aMyometrial invasion information was available for 90 of 91 tumor samples. Table SII. Clinicopathological characteristics of The Cancer Genome Atlas Uterine Corpus Endometrioid Cancer dataset. Characteristic n % Solid tissue normal 16 Tumor samples Stagea I 226 68.278 II 19 5.740 III 70 21.148 IV 16 4.834 Histology Endometrioid 271 81.381 Mixed 10 3.003 Serous 52 15.616 Histological grade Grade 1 78 23.423 Grade 2 91 27.327 Grade 3 164 49.249 Molecular subtypeb POLE 17 7.328 MSI 65 28.017 CN Low 90 38.793 CN High 60 25.862 CN, copy number; MSI, microsatellite instability; POLE, DNA polymerase ε.