KRAS G13D Sensitivity to Neurofibromin-Mediated GTP Hydrolysis
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
The Rac Gtpase in Cancer: from Old Concepts to New Paradigms Marcelo G
Published OnlineFirst August 14, 2017; DOI: 10.1158/0008-5472.CAN-17-1456 Cancer Review Research The Rac GTPase in Cancer: From Old Concepts to New Paradigms Marcelo G. Kazanietz1 and Maria J. Caloca2 Abstract Rho family GTPases are critical regulators of cellular func- mislocalization of Rac signaling components. The unexpected tions that play important roles in cancer progression. Aberrant pro-oncogenic functions of Rac GTPase-activating proteins also activity of Rho small G-proteins, particularly Rac1 and their challenged the dogma that these negative Rac regulators solely regulators, is a hallmark of cancer and contributes to the act as tumor suppressors. The potential contribution of Rac tumorigenic and metastatic phenotypes of cancer cells. This hyperactivation to resistance to anticancer agents, including review examines the multiple mechanisms leading to Rac1 targeted therapies, as well as to the suppression of antitumor hyperactivation, particularly focusing on emerging paradigms immune response, highlights the critical need to develop ther- that involve gain-of-function mutations in Rac and guanine apeutic strategies to target the Rac pathway in a clinical setting. nucleotide exchange factors, defects in Rac1 degradation, and Cancer Res; 77(20); 5445–51. Ó2017 AACR. Introduction directed toward targeting Rho-regulated pathways for battling cancer. Exactly 25 years ago, two seminal papers by Alan Hall and Nearly all Rho GTPases act as molecular switches that cycle colleagues illuminated us with one of the most influential dis- between GDP-bound (inactive) and GTP-bound (active) forms. coveries in cancer signaling: the association of Ras-related small Activation is promoted by guanine nucleotide exchange factors GTPases of the Rho family with actin cytoskeleton reorganization (GEF) responsible for GDP dissociation, a process that normally (1, 2). -
A GTP-State Specific Cyclic Peptide Inhibitor of the Gtpase Gαs
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.25.054080; this version posted April 27, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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-NC-ND 4.0 International license. A GTP-state specific cyclic peptide inhibitor of the GTPase Gαs Shizhong A. Dai1,2†, Qi Hu1,2†, Rong Gao3†, Andre Lazar1,4†, Ziyang Zhang1,2, Mark von Zastrow1,4, Hiroaki Suga3*, Kevan M. Shokat1,2* 5 1Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA 2Howard Hughes Medical Institute 3Department of Chemistry, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan 10 4Department of Psychiatry, University of California, San Francisco, San Francisco, CA, 94158, USA *Correspondence to: [email protected], [email protected] †These authors contributed equally. 15 20 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.25.054080; this version posted April 27, 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-NC-ND 4.0 International license. Abstract: The G protein-coupled receptor (GPCR) cascade leading to production of the second messenger cAMP is replete with pharmacologically targetable receptors and enzymes with the exception of the stimulatory G protein α subunit, Gαs. -
Clinical Utility of Recently Identified Diagnostic, Prognostic, And
Modern Pathology (2017) 30, 1338–1366 1338 © 2017 USCAP, Inc All rights reserved 0893-3952/17 $32.00 Clinical utility of recently identified diagnostic, prognostic, and predictive molecular biomarkers in mature B-cell neoplasms Arantza Onaindia1, L Jeffrey Medeiros2 and Keyur P Patel2 1Instituto de Investigacion Marques de Valdecilla (IDIVAL)/Hospital Universitario Marques de Valdecilla, Santander, Spain and 2Department of Hematopathology, MD Anderson Cancer Center, Houston, TX, USA Genomic profiling studies have provided new insights into the pathogenesis of mature B-cell neoplasms and have identified markers with prognostic impact. Recurrent mutations in tumor-suppressor genes (TP53, BIRC3, ATM), and common signaling pathways, such as the B-cell receptor (CD79A, CD79B, CARD11, TCF3, ID3), Toll- like receptor (MYD88), NOTCH (NOTCH1/2), nuclear factor-κB, and mitogen activated kinase signaling, have been identified in B-cell neoplasms. Chronic lymphocytic leukemia/small lymphocytic lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, mantle cell lymphoma, Burkitt lymphoma, Waldenström macroglobulinemia, hairy cell leukemia, and marginal zone lymphomas of splenic, nodal, and extranodal types represent examples of B-cell neoplasms in which novel molecular biomarkers have been discovered in recent years. In addition, ongoing retrospective correlative and prospective outcome studies have resulted in an enhanced understanding of the clinical utility of novel biomarkers. This progress is reflected in the 2016 update of the World Health Organization classification of lymphoid neoplasms, which lists as many as 41 mature B-cell neoplasms (including provisional categories). Consequently, molecular genetic studies are increasingly being applied for the clinical workup of many of these neoplasms. In this review, we focus on the diagnostic, prognostic, and/or therapeutic utility of molecular biomarkers in mature B-cell neoplasms. -
Tumor Markers
Tumor Markers Alan H.B. Wu, Ph.D. Professor, Laboratory Medicine, UCSF Section Chief, Clinical Chemistry, Toxicology, Pharmacogenomics Laboratory, SFGH Learning objectives • Know the ideal characteristics of a tumor marker • Understand the role of tumor markers for diagnosis and management of patients with cancer. • Know the emerging technologies for tumor markers • Understand the role of tumor markers for therapeutic selection How do we diagnose cancer today? Physical Examination Blood tests CT scans Biopsy Human Prostate Cancer Normal Blood Smear Chronic Myeloid Leukemia Death rates for cancer vs. heart disease New cancer cases per year Cancer Site or Type New Cases Prostate 218,000 Lung 222,500 Breast 207,500 Colorectal 149,000 Urinary system 131,500 Skin 68,770 Pancreas 43,100 Ovarian 22,000 Myeloma 20,200 Thyroid 44,700 Germ Cell 9,000 Types of Tumor Markers • Hormones (hCG; calcitonin; gastrin; prolactin;) • Enzymes (acid phosphatase; alkaline phosphatase; PSA) • Cancer antigen proteins & glycoproteins (CA125; CA 15.3; CA19.9) • Metabolites (norepinephrine, epinephrine) • Normal proteins (thyroglobulin) • Oncofetal antigens (CEA, AFP) • Receptors (ER, PR, EGFR) • Genetic changes (mutations/translocations, etc.) Characteristics of an ideal tumor marker • Specificity for a single type of cancer • High sensitivity and specificity for cancerous growth • Correlation of marker level with tumor size • Homogeneous (i.e., minimal post-translational modifications) • Short half-life in circulation Roles for tumor markers • Determine risk (PSA) -
Screening for Tumor Suppressors: Loss of Ephrin PNAS PLUS Receptor A2 Cooperates with Oncogenic Kras in Promoting Lung Adenocarcinoma
Screening for tumor suppressors: Loss of ephrin PNAS PLUS receptor A2 cooperates with oncogenic KRas in promoting lung adenocarcinoma Narayana Yeddulaa, Yifeng Xiaa, Eugene Kea, Joep Beumera,b, and Inder M. Vermaa,1 aLaboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037; and bHubrecht Institute, Utrecht, The Netherlands Contributed by Inder M. Verma, October 12, 2015 (sent for review July 28, 2015; reviewed by Anton Berns, Tyler Jacks, and Frank McCormick) Lung adenocarcinoma, a major form of non-small cell lung cancer, injections in embryonic skin cells identified several potential tu- is the leading cause of cancer deaths. The Cancer Genome Atlas morigenic factors (14–16). None of the reported studies have analysis of lung adenocarcinoma has identified a large number of performed direct shRNA-mediated high-throughput approaches previously unknown copy number alterations and mutations, re- in adult mice recapitulating the mode of tumorigenesis in humans. quiring experimental validation before use in therapeutics. Here, we Activating mutations at positions 12, 13, and 61 amino acids in describe an shRNA-mediated high-throughput approach to test a set Kirsten rat sarcoma viral oncogene homolog (KRas) contributes of genes for their ability to function as tumor suppressors in the to tumorigenesis in 32% of lung adenocarcinoma patients (2) by background of mutant KRas and WT Tp53. We identified several activating downstream signaling cascades. Mice with the KRasG12D candidate genes from tumors originated from lentiviral delivery of allele develop benign adenomatous lesions with long latency to shRNAs along with Cre recombinase into lungs of Loxp-stop-Loxp- develop adenocarcinoma (17, 18). -
The Effects of Oncogenic G12d Mutation on K-Ras Structure, Conformation and Dynamics
bioRxiv preprint doi: https://doi.org/10.1101/178483; this version posted August 19, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. THE EFFECTS OF ONCOGENIC G12D MUTATION ON K-RAS STRUCTURE, CONFORMATION AND DYNAMICS Sezen Vatansever1, 2, 3, Zeynep H. Gümüş2, 3*, Burak Erman1* 1Department of Chemical and Biological Engineering, College of Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey 2Department of Genetics and Genomics, 3Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029 *Correspondence: [email protected] (B.E.) and [email protected] (Z.H.G.) ABSTRACT K-Ras is the most frequently mutated protein in human tumors. Activating K-Ras mutations drive cancer initiation, progression and drug resistance, directly leading to nearly a million deaths per year. To understand the mechanisms by which mutations alter K-Ras function, we need to understand their effects on protein dynamics. However, despite decades of research, how oncogenic mutations in K-Ras alter its conformation and dynamics remain to be understood. Here, we present how the most recurrent K-Ras oncogenic mutation, G12D, leads to structural, conformational and dynamical changes that lead to constitutively active K- Ras. We have developed a new integrated MD simulation data analysis approach to quantify such changes in a protein and applied it to K-Ras. Our results show that G12D mutation induces strong negative correlations between the fluctuations of SII and those of the P-loop, Switch I (SI) and α3 regions in K-RasG12D. -
Agonist-Induced Formation of Unproductive Receptor-G12 Complexes Najeah Okashaha, Shane C
Agonist-induced formation of unproductive receptor-G12 complexes Najeah Okashaha, Shane C. Wrightb, Kouki Kawakamic, Signe Mathiasend,e,f, Joris Zhoub, Sumin Lua, Jonathan A. Javitchd,e,f, Asuka Inouec, Michel Bouvierb, and Nevin A. Lamberta,1 aDepartment of Pharmacology and Toxicology, Medical College of Georgia, Augusta University, Augusta, GA 30912; bInstitute for Research in Immunology and Cancer, Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada; cGraduate School of Pharmaceutical Sciences, Tohoku University, 980-8578 Sendai, Japan; dDepartment of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032; eDepartment of Pharmacology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032; and fDivision of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032 Edited by Brian K. Kobilka, Stanford University School of Medicine, Stanford, CA, and approved July 24, 2020 (received for review February 28, 2020) G proteins are activated when they associate with G protein- association does not always promote G protein activation and coupled receptors (GPCRs), often in response to agonist-mediated may in some circumstances inhibit downstream signaling. receptor activation. It is generally thought that agonist-induced receptor-G protein association necessarily promotes G protein acti- Results vation and, conversely, that activated GPCRs do not interact with V2R Interacts with G12 Heterotrimers. Conventional GPCR-G pro- G proteins that they do not activate. Here we show that GPCRs can tein coupling is understood as an allosteric interaction where an form agonist-dependent complexes with G proteins that they do agonist-bound active receptor mediates GDP release by stabi- not activate. -
1 Gα13 Loss Promotes Tumor Progression in the KPC Transgenic
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.15.435488; this version posted March 15, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Gα13 loss promotes tumor progression in the KPC transgenic mouse model of advanced pancreatic cancer Mario A. Shields1,2,*, Christina Spaulding1,3, Mahmoud G. Khalafalla1, Thao N.D. Pham1, and Hidayatullah G. Munshi1,2,3,* 1 Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA 2 The Robert H. Lurie Comprehensive Cancer Center, Chicago, IL, USA 3 Jesse Brown VA Medical Center, Chicago, IL, USA Running title: Effects of epithelial Gα13 loss in vivo Keywords: Gα13, KC mouse model, KPC mouse model, human PDAC tumors, E-cadherin, mTOR The authors have declared that no conflict of interest exists. *Address correspondence to Mario A. Shields, Ph.D. or Hidayatullah G. Munshi, M.D. Department of Medicine Northwestern University Feinberg School of Medicine 303 E. Superior Ave., Lurie 3-220 (M.A. Shields) or Lurie 3-117 (H.G. Munshi) Chicago, IL 60611, USA. Phone: (312) 503-0312; [email protected] (M.A. Shields) Phone: (312) 503-2301; [email protected] (H.G. Munshi) 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.15.435488; this version posted March 15, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. SUMMARY Gα13 transduces signals from G protein-coupled receptors. -
The Frequency of Ras Mutations in Cancer
Author Manuscript Published OnlineFirst on March 24, 2020; DOI: 10.1158/0008-5472.CAN-19-3682 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The frequency of Ras mutations in cancer Ian A. Prior1*, Fiona E. Hood1 and James L. Hartley2 CAN-19-3682R Running Title: Ras cancer statistics Keywords: HRAS, KRAS, NRAS, cancer, mutation, genetics Word Count: 3220 + references and Figure legends 1. Division of Cellular and Molecular Physiology, Institute of Translational Medicine, University of Liverpool, L69 3BX, UK. 2. NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, 21701, USA. * Corresponding Author: Ian A. Prior Email: [email protected] Tel: +44-151-794-5332 Fax: +44-151-794-4434 Conflict of interest statement All authors declare that they have no conflicts of interest relevant to this manuscript. Author contributions All authors have contributed to the writing and design of this manuscript. IAP is responsible for the conception, analysis, design and writing. 1 Downloaded from cancerres.aacrjournals.org on September 26, 2021. © 2020 American Association for Cancer Research. Author Manuscript Published OnlineFirst on March 24, 2020; DOI: 10.1158/0008-5472.CAN-19-3682 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. ABSTRACT Ras is frequently mutated in cancer; however, there is a lack of consensus in the literature regarding the cancer mutation frequency of Ras, with quoted values varying from 10-30%. This variability is at least in part due to the selective aggregation of data from different databases and the dominant influence of particular cancer types and particular Ras isoforms within these datasets. -
Identification of Novel GNAS Mutations in Intramuscular Myxoma Using Next- Generation Sequencing with Single-Molecule Tagged Molecular Inversion Probes Elise M
Bekers et al. Diagnostic Pathology (2019) 14:15 https://doi.org/10.1186/s13000-019-0787-3 RESEARCH Open Access Identification of novel GNAS mutations in intramuscular myxoma using next- generation sequencing with single-molecule tagged molecular inversion probes Elise M. Bekers1,2* , Astrid Eijkelenboom1, Paul Rombout1, Peter van Zwam3, Suzanne Mol4, Emiel Ruijter5, Blanca Scheijen1 and Uta Flucke1 Abstract Background: Intramuscular myxoma (IM) is a hypocellular benign soft tissue neoplasm characterized by abundant myxoid stroma and occasional hypercellular areas. These tumors can, especially on biopsy material, be difficult to distinguish from low-grade fibromyxoid sarcoma or low-grade myxofibrosarcoma. GNAS mutations are frequently involved in IM, in contrast to these other malignant tumors. Therefore, sensitive molecular techniques for detection of GNAS aberrations in IM, which frequently yield low amounts of DNA due to poor cellularity, will be beneficial for differential diagnosis. Methods: In our study, a total of 34 IM samples from 33 patients were analyzed for the presence of GNAS mutations, of which 29 samples were analyzed using a gene-specific TaqMan genotyping assay for the detection of GNAS hotspot mutations c.601C > T and c602G > A in IM, and 32 samples using a novel next generation sequencing (NGS)-based approach employing single-molecule tagged molecular inversion probes (smMIP) to identify mutations in exon 8 and 9 of GNAS. Results between the two assays were compared for their ability to detect GNAS mutations with high confidence. Results: In total, 23 of 34 samples were successfully analyzed with both techniques showing GNAS mutations in 12 out of 23 (52%) samples. -
SPRED2 (NM 181784) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC212199L3 SPRED2 (NM_181784) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: SPRED2 (NM_181784) Human Tagged ORF Clone Tag: Myc-DDK Symbol: SPRED2 Synonyms: Spred-2 Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC212199). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_181784 ORF Size: 1254 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 SPRED2 (NM_181784) Human Tagged ORF Clone – RC212199L3 OTI Disclaimer: Due to the inherent nature of this plasmid, standard methods to replicate additional amounts of DNA in E. coli are highly likely to result in mutations and/or rearrangements. Therefore, OriGene does not guarantee the capability to replicate this plasmid DNA. Additional amounts of DNA can be purchased from OriGene with batch-specific, full-sequence verification at a reduced cost. Please contact our customer care team at [email protected] or by calling 301.340.3188 option 3 for pricing and delivery. The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. -
Genome-Wide Association Study Meta-Analysis of European
Molecular Psychiatry (2013) 18, 195–205 & 2013 Macmillan Publishers Limited All rights reserved 1359-4184/13 www.nature.com/mp ORIGINAL ARTICLE Genome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar disorder DT Chen1, X Jiang1, N Akula1, YY Shugart1, JR Wendland1, CJM Steele1, L Kassem1, J-H Park2, N Chatterjee2, S Jamain3, A Cheng4, M Leboyer3, P Muglia5, TG Schulze1,6, S Cichon7,MMNo¨then7, M Rietschel8, BiGS9 and FJ McMahon1 1Human Genetics Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, US Department of Health and Human Services, Bethesda, MA, USA; 2Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MA, USA; 3Inserm U955, Department of Psychiatry, Groupe Hospitalier Henri Mondor-Albert Chenevier, AP-HP, Universite´ Paris Est, Fondation FondaMental, Cre´teil, France; 4Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan; 5Department of Psychiatry, University of Toronto, Toronto, ON, Canada; 6Section on Psychiatric Genetics, Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-Universita¨t, Go¨ttingen, Germany; 7Institute of Neuroscience and Medicine, Juelich, Germany and Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany and 8Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Mannheim, Mannheim, Germany Meta-analyses of bipolar disorder (BD) genome-wide association studies (GWAS) have identified several genome-wide significant signals in European-ancestry samples, but so far account for little of the inherited risk. We performed a meta-analysis of B750 000 high-quality genetic markers on a combined sample of B14 000 subjects of European and Asian-ancestry (phase I).