Targeting the LKB1 Tumor Suppressor
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Overexpression and Selective Anticancer Efficacy of ENO3 in STK11 Mutant Lung Cancers
Molecules and Cells Overexpression and Selective Anticancer Efficacy of ENO3 in STK11 Mutant Lung Cancers Choa Park1,3, Yejin Lee1,3, Soyeon Je1,3, Shengzhi Chang1, Nayoung Kim1, Euna Jeong2, and Sukjoon 1,2, Yoon * 1Department of Biological Sciences, Sookmyung Women’s University, Seoul 04310, Korea, 2Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Korea, 3These authors contributed equally to this work. *Correspondence: [email protected] https://doi.org/10.14348/molcells.2019.0099 www.molcells.org Oncogenic gain-of-function mutations are clinical biomarkers lung cancer, constituting ~80% to 90% of all lung can- for most targeted therapies, as well as represent direct targets cers (Novello et al., 2016; Planchard et al., 2018). NSCLC for drug treatment. Although loss-of-function mutations is classified into three types: lung adenocarcinoma (LUAD), involving the tumor suppressor gene, STK11 (LKB1) are squamous cell carcinoma, and large cell carcinoma. LUAD important in lung cancer progression, STK11 is not the direct accounts for approximately 30% of lung cancers (Gill et al., target for anticancer agents. We attempted to identify cancer 2011). Serine/threonine kinase 11 (STK11), also known as liv- transcriptome signatures associated with STK11 loss-of- er kinase B1 (LKB1), is a major tumor suppressor gene in lung function mutations. Several new sensitive and specific gene cancers. Particularly, STK11 is the most inactivated tumor expression markers (ENO3, TTC39C, LGALS3, and MAML2) suppressor gene in NSCLC (Carretero et al., 2004; Chen et were identified using two orthogonal measures, i.e., fold al., 2016; Facchinetti et al., 2017). Although STK11 inactiva- change and odds ratio analyses of transcriptome data from tion (i.e., loss-of-function mutation) occurs in ~30% of LUAD cell lines and tissue samples. -
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. -
STK11 Gene Serine/Threonine Kinase 11
STK11 gene serine/threonine kinase 11 Normal Function The STK11 gene (also called LKB1) provides instructions for making an enzyme called serine/threonine kinase 11. This enzyme is a tumor suppressor, which means that it helps keep cells from growing and dividing too fast or in an uncontrolled way. This enzyme helps certain types of cells correctly orient themselves within tissues ( polarization) and assists in determining the amount of energy a cell uses. This kinase also promotes a type of programmed cell death known as apoptosis. In addition to its role as a tumor suppressor, serine/threonine kinase 11 function appears to be required for normal development before birth. Health Conditions Related to Genetic Changes Breast cancer Inherited changes in the STK11 gene greatly increase the risk of developing breast cancer, as well as other types of cancer, as part of Peutz-Jeghers syndrome (described above). These mutations are thought to account for only a small fraction of all breast cancer cases. Peutz-Jeghers syndrome Inherited mutations in the STK11 gene cause Peutz-Jeghers syndrome, a condition characterized by the development of noncancerous growths called hamartomatous polyps in the gastrointestinal tract and a greatly increased risk of developing several types of cancer. More than 340 STK11 gene mutations have been identified in people with this condition. Many of these mutations result in the production of an abnormally short, nonfunctional version of the serine/threonine kinase 11 enzyme. Other mutations change single protein building blocks (amino acids) used to build the enzyme. Mutations in the STK11 gene impair the enzyme's tumor suppressor function, allowing cells to grow and divide without control or order. -
Supplementary Table 1. Genes Mapped in Core Cancer
Supplementary Table 1. Genes mapped in core cancer pathways annotated by KEGG (Kyoto Encyclopedia of Genes and Genomes), MIPS (The Munich Information Center for Protein Sequences), BIOCARTA, PID (Pathway Interaction Database), and REACTOME databases. EP300,MAP2K1,APC,MAP3K7,ZFYVE9,TGFB2,TGFB1,CREBBP,MAP BIOCARTA TGFB PATHWAY K3,TAB1,SMAD3,SMAD4,TGFBR2,SKIL,TGFBR1,SMAD7,TGFB3,CD H1,SMAD2 TFDP1,NOG,TNF,GDF7,INHBB,INHBC,COMP,INHBA,THBS4,RHOA,C REBBP,ROCK1,ID1,ID2,RPS6KB1,RPS6KB2,CUL1,LOC728622,ID4,SM AD3,MAPK3,RBL2,SMAD4,RBL1,NODAL,SMAD1,MYC,SMAD2,MAP K1,SMURF2,SMURF1,EP300,BMP8A,GDF5,SKP1,CHRD,TGFB2,TGFB 1,IFNG,CDKN2B,PPP2CB,PPP2CA,PPP2R1A,ID3,SMAD5,RBX1,FST,PI KEGG TGF BETA SIGNALING PATHWAY TX2,PPP2R1B,TGFBR2,AMHR2,LTBP1,LEFTY1,AMH,TGFBR1,SMAD 9,LEFTY2,SMAD7,ROCK2,TGFB3,SMAD6,BMPR2,GDF6,BMPR1A,B MPR1B,ACVRL1,ACVR2B,ACVR2A,ACVR1,BMP4,E2F5,BMP2,ACVR 1C,E2F4,SP1,BMP7,BMP8B,ZFYVE9,BMP5,BMP6,ZFYVE16,THBS3,IN HBE,THBS2,DCN,THBS1, JUN,LRP5,LRP6,PPP3R2,SFRP2,SFRP1,PPP3CC,VANGL1,PPP3R1,FZD 1,FZD4,APC2,FZD6,FZD7,SENP2,FZD8,LEF1,CREBBP,FZD9,PRICKLE 1,CTBP2,ROCK1,CTBP1,WNT9B,WNT9A,CTNNBIP1,DAAM2,TBL1X R1,MMP7,CER1,MAP3K7,VANGL2,WNT2B,WNT11,WNT10B,DKK2,L OC728622,CHP2,AXIN1,AXIN2,DKK4,NFAT5,MYC,SOX17,CSNK2A1, CSNK2A2,NFATC4,CSNK1A1,NFATC3,CSNK1E,BTRC,PRKX,SKP1,FB XW11,RBX1,CSNK2B,SIAH1,TBL1Y,WNT5B,CCND1,CAMK2A,NLK, CAMK2B,CAMK2D,CAMK2G,PRKACA,APC,PRKACB,PRKACG,WNT 16,DAAM1,CHD8,FRAT1,CACYBP,CCND2,NFATC2,NFATC1,CCND3,P KEGG WNT SIGNALING PATHWAY LCB2,PLCB1,CSNK1A1L,PRKCB,PLCB3,PRKCA,PLCB4,WIF1,PRICK LE2,PORCN,RHOA,FRAT2,PRKCG,MAPK9,MAPK10,WNT3A,DVL3,R -
The Activity and Stability of P56lck and TCR Signaling Do Not Depend on the Co-Chaperone Cdc37
International Journal of Molecular Sciences Article The Activity and Stability of p56Lck and TCR Signaling Do Not Depend on the Co-Chaperone Cdc37 Sarah Kowallik 1,2, Andreas Kritikos 1,2, Matthias Kästle 1,2, Christoph Thurm 1,2, Burkhart Schraven 1,2 and Luca Simeoni 1,2,* 1 Institute of Molecular and Clinical Immunology, Otto-von-Guericke University, 39120 Magdeburg, Germany; [email protected] (S.K.); [email protected] (A.K.); [email protected] (M.K.); [email protected] (C.T.); [email protected] (B.S.) 2 Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-von Guericke University, 39120 Magdeburg, Germany * Correspondence: [email protected]; Tel.: +49-391-67-17894 Abstract: Lymphocyte-specific protein tyrosine kinase (Lck) is a pivotal tyrosine kinase involved in T cell receptor (TCR) signaling. Because of its importance, the activity of Lck is regulated at different levels including phosphorylation of tyrosine residues, protein–protein interactions, and localization. It has been proposed that the co-chaperone Cdc37, which assists the chaperone heat shock protein 90 (Hsp90) in the folding of client proteins, is also involved in the regulation of the activity/stability of Lck. Nevertheless, the available experimental data do not clearly support this conclusion. Thus, we assessed whether or not Cdc37 regulates Lck. We performed experiments in which the expression of Cdc37 was either augmented or suppressed in Jurkat T cells. The results of our experiments indicated that neither the overexpression nor the suppression of Cdc37 affected Lck stability and activity. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
The Tumor Suppressor Gene LKB1 Is Associated with Prognosis in Human Breast Carcinoma1
Vol. 8, 2085–2090, July 2002 Clinical Cancer Research 2085 Advances in Brief The Tumor Suppressor Gene LKB1 Is Associated with Prognosis in Human Breast Carcinoma1 Zan Shen, Xian-Feng Wen, Fei Lan, patients with PJS (1). PJS is an autosomal dominant-inherited Zhen-Zhou Shen, and Zhi-Ming Shao2 disorder, which is characterized by predisposition to gastroin- testinal polyposis, mucocutaneous melanin pigmentation, and Department of Surgery, Cancer Hospital/Cancer Institute, Fudan University, Shanghai 200032, People’s Republic of China [Z. S., various neoplasms (1). The incidence of cancer among patients X-F. W., F. L., Z-Z. S., Z-M. S.] with PJS has been estimated to be 18-fold higher than in the general population (1). Moreover, tumors associated with PJS have acquired somatic mutations in the remaining wild-type Abstract allele of LKB1, strongly implicating LKB1 as a tumor suscep- Purpose: LKB1 (also called STK11) is a recently iden- tibility gene (2). Most of the mutations in PJS families are point tified tumor suppressor gene in which its mutation can lead and truncation mutations within the kinase domain of LKB1, to Peutz-Jeghers syndrome, characterized by gastrointesti- suggesting that the kinase activity of LKB1 is critical to its nal polyps and cancers of different organ systems. Weak function (1, 3). expression of this gene does occur at a certain frequency in Because PJS patients show a predisposition to a wide sporadic breast cancer. This indicates that LKB1 gene may spectrum of cancers, including breast cancer, it is speculated relate to the tumorigenesis of breast cancer. that LKB1 has a tumor suppressor function in the breast cancer Experimental Design: To investigate the function of the of PJS. -
Hsp90 Interacts with the Bacterial Effector Nleh1
pathogens Article Hsp90 Interacts with the Bacterial Effector NleH1 Miaomiao Wu and Philip R. Hardwidge * Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS 66506, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-785-532-2506 Received: 26 September 2018; Accepted: 11 November 2018; Published: 13 November 2018 Abstract: Enterohemorrhagic Escherichia coli (EHEC) utilizes a type III secretion system (T3SS) to inject effector proteins into host cells. The EHEC NleH1 effector inhibits the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway by reducing the nuclear translocation of the ribosomal protein S3 (RPS3). NleH1 prevents RPS3 phosphorylation by the IκB kinase-β (IKKβ). IKKβ is a central kinase in the NF-κB pathway, yet NleH1 only restricts the phosphorylation of a subset of the IKKβ substrates. We hypothesized that a protein cofactor might dictate this inhibitory specificity. We determined that heat shock protein 90 (Hsp90) interacts with both IKKβ and NleH1 and that inhibiting Hsp90 activity reduces RPS3 nuclear translocation. Keywords: E. coli; Hsp90; NleH1; RPS3 1. Introduction The nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) family of transcription factors regulates innate and adaptive immune responses. In addition to the well-characterized Rel family proteins [1], ribosomal protein S3 (RPS3) is a key non-Rel subunit and was identified as a “specifier” NF-κB component. RPS3 guides NF-κB to specific κB sites by increasing the affinity of the NF-κB p65 subunit for target gene promoters [2]. Activation of NF-κB signaling is initiated by external stimuli that activate the IκB kinase (IKK) complex. -
Mammalian P50cdc37 Is a Protein Kinase-Targeting Subunit of Hsp90 That Binds and Stabilizes Cdk4
Downloaded from genesdev.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Mammalian p50Cdc37is a protein kinase- tar eting subunit of Hsp90 that binds ani stabilizes Cdk4 Lilia Stepanova,' Xiaohong ~eng,'Susan B. ~arker?and 7. Wade ~arper'?~ 'Verna and Marrs McLean Department of Biochemistry, 2~owardHughes Medical Institue, Baylor College of Medicine, Houston, Texas 77030 USA CDC37, an essential gene in Saccharomyces cerevisiae, interacts genetically with multiple protein kinases and is required for production of Cdc28plcyclin complexes through an unknown mechanism. We have identified mammalian p50~~~~~as a protein kinase-targeting subunit of the molecular chaperone Hsp90. Previously, p50 was observed in complexes with pp6OV-"" and Raf-1, but its identity and function have remained elusive. In mouse fibroblasts, a primary target of Cdc37 is Cdk4. This kinase is activated by D-type cyclins and functions in passage through GI. In insect cells, Cdc37 is sufficient to target Hsp90 to Cdk4 and both in vitro and in vivo, Cdc371Hsp90 associates preferentially with the fraction of Cdk4 not bound to D-type cyclins. Cdc37 is coexpressed with cyclin Dl in cells undergoing programmed proliferation in vivo, consistent with a positive role in cell cycle progression. Pharmacological inactivation of Cdc371Hsp90 function decreases the half-life of newly synthesized Cdk4, indicating a role for Cdc37IHsp90 in Cdk4 stabilization. This study suggests a general role for p5~Cdc37in signaling pathways dependent on intrinsically unstable protein kinases and reveals a previously unrecognized chaperone-dependent step in the production of Cdk4lcyclin D complexes. [Key Words: Cyclin-dependent kinase; D-type cyclin; molecular chaperone; Hsp90; p50Cdc37] Received March 22, 1996; revised version accepted April 30, 1996. -
The Role of Heat Shock Proteins in Regulating Receptor Signal Transduction
1521-0111/95/5/468–474$35.00 https://doi.org/10.1124/mol.118.114652 MOLECULAR PHARMACOLOGY Mol Pharmacol 95:468–474, May 2019 Copyright ª 2019 by The American Society for Pharmacology and Experimental Therapeutics MINIREVIEW—SPATIAL ORGANIZATION OF SIGNAL TRANSDUCTION The Role of Heat Shock Proteins in Regulating Receptor Signal Transduction John M. Streicher Department of Pharmacology, College of Medicine, University of Arizona, Tucson, Arizona Downloaded from Received September 20, 2018; accepted January 12, 2019 ABSTRACT Heat shock proteins (Hsp) are a class of stress-inducible with important impacts on endogenous and drug ligand re- proteins that mainly act as molecular protein chaperones. This sponses. Among these roles, Hsp90 in particular acts to molpharm.aspetjournals.org chaperone activity is diverse, including assisting in nascent maintain mature signaling kinases in a metastable conforma- protein folding and regulating client protein location and tion permissive for signaling activation. In this review, we will translocation within the cell. The main proteins within the Hsp focus on the roles of the Hsps, with a special focus on Hsp90, family, particularly Hsp70 and Hsp90, also have a highly diverse in regulating receptor signaling and subsequent physiologic and numerous set of protein clients, which when combined with responses. We will also explore potential means to manipulate the high expression levels of Hsp proteins (2%–6% of total Hsp function to improve receptor-targeted therapies. Overall, protein content) establishes these molecules as “central Hsps are important regulators of receptor signaling that are regulators” of cell protein physiology. Among the client receiving increasing interest and exploration, particularly as proteins, Hsps regulate numerous signal-transduction and Hsp90 inhibitors progress toward clinical approval for the receptor-regulatory kinases, and indeed directly regulate some treatment of cancer. -
Restricting Direct Interaction of CDC37 with HSP90 Does Not Compromise Chaperoning of Client Proteins
Oncogene (2015) 34, 15–26 & 2015 Macmillan Publishers Limited All rights reserved 0950-9232/15 www.nature.com/onc ORIGINAL ARTICLE Restricting direct interaction of CDC37 with HSP90 does not compromise chaperoning of client proteins JR Smith1, E de Billy1, S Hobbs1, M Powers1, C Prodromou2,3, L Pearl2,3, PA Clarke1 and P Workman1 The HSP90 molecular chaperone plays a key role in the maturation, stability and activation of its clients, including many oncogenic proteins. Kinases are a substantial and important subset of clients requiring the key cochaperone CDC37. We sought an improved understanding of protein kinase chaperoning by CDC37 in cancer cells. CDC37 overexpression in human colon cancer cells increased CDK4 protein levels, which was negated upon CDC37 knockdown. Overexpressing CDC37 increased CDK4 protein half- life and enhanced binding of HSP90 to CDK4, consistent with CDC37 promoting kinase loading onto chaperone complexes. Against expectation, expression of C-terminus-truncated CDC37 (DC-CDC37) that lacks HSP90 binding capacity did not affect kinase client expression or activity; moreover, as with wild-type CDC37 overexpression, it augmented CDK4-HSP90 complex formation. However, although truncation blocked binding to HSP90 in cells, DC-CDC37 also showed diminished client protein binding and was relatively unstable. CDC37 mutants with single and double point mutations at residues M164 and L205 showed greatly reduced binding to HSP90, but retained association with client kinases. Surprisingly, these mutants phenocopied wild-type CDC37 overexpression by increasing CDK4-HSP90 association and CDK4 protein levels in cells. Furthermore, expression of the mutants was sufficient to protect kinase clients CDK4, CDK6, CRAF and ERBB2 from depletion induced by silencing endogenous CDC37, indicating that CDC37’s client stabilising function cannot be inactivated by substantially reducing its direct interaction with HSP90. -
The Human Gene Connectome As a Map of Short Cuts for Morbid Allele Discovery
The human gene connectome as a map of short cuts for morbid allele discovery Yuval Itana,1, Shen-Ying Zhanga,b, Guillaume Vogta,b, Avinash Abhyankara, Melina Hermana, Patrick Nitschkec, Dror Friedd, Lluis Quintana-Murcie, Laurent Abela,b, and Jean-Laurent Casanovaa,b,f aSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; bLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Paris Descartes University, Institut National de la Santé et de la Recherche Médicale U980, Necker Medical School, 75015 Paris, France; cPlateforme Bioinformatique, Université Paris Descartes, 75116 Paris, France; dDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel; eUnit of Human Evolutionary Genetics, Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Institut Pasteur, F-75015 Paris, France; and fPediatric Immunology-Hematology Unit, Necker Hospital for Sick Children, 75015 Paris, France Edited* by Bruce Beutler, University of Texas Southwestern Medical Center, Dallas, TX, and approved February 15, 2013 (received for review October 19, 2012) High-throughput genomic data reveal thousands of gene variants to detect a single mutated gene, with the other polymorphic genes per patient, and it is often difficult to determine which of these being of less interest. This goes some way to explaining why, variants underlies disease in a given individual. However, at the despite the abundance of NGS data, the discovery of disease- population level, there may be some degree of phenotypic homo- causing alleles from such data remains somewhat limited. geneity, with alterations of specific physiological pathways under- We developed the human gene connectome (HGC) to over- come this problem.