MAP2K4/MKK4 Expression in Pancreatic Cancer: Genetic Validation of Immunohistochemistry and Relationship to Disease Course

Total Page:16

File Type:pdf, Size:1020Kb

MAP2K4/MKK4 Expression in Pancreatic Cancer: Genetic Validation of Immunohistochemistry and Relationship to Disease Course 8516 Vol. 10, 8516–8520, December 15, 2004 Clinical Cancer Research MAP2K4/MKK4 Expression in Pancreatic Cancer: Genetic Validation of Immunohistochemistry and Relationship to Disease Course Wei Xin,1 Ki J. Yun,4 Francesca Ricci,2 ing patterns were also evaluated among unresectable pri- Marianna Zahurak,3 Wanglong Qiu,4 mary and metastatic cancer tissues from autopsy specimens, Gloria H. Su,4 Charles J. Yeo,5,6 indicating intact Mkk4 immunolabeling in 88.8% of the unresectable primary carcinomas as compared with 63.3% Ralph H. Hruban,4,5 Scott E. Kern,4,5 and 4,5 of distant metastases (P < 0.001). Our data indicate that the Christine A. Iacobuzio-Donahue loss of Mkk4 protein expression in pancreatic carcinomas 1 Department of Pathology, The University of Michigan Medical may be more frequent than suggested by the rates of genetic Center, Ann Arbor, Michigan; 2Department of Pathology, University La Sapienza, Rome, Italy; and the Departments of 3Biostatistics, inactivation alone and that MKK4 loss may contribute to 4Pathology, 5Oncology, and 6Surgery, The Johns Hopkins University disease progression. The correlation of MKK4 genetic status Hospital, Baltimore, Maryland with immunolabeling patterns validate this approach for the evaluation of MKK4 status in routine histologic sections and ABSTRACT may provide useful information regarding patient prognosis. MKK4 (MAP2K4/SEK1) is a member of the mitogen- activated protein kinase family, originally identified as a INTRODUCTION kinase involved in the stress-activated protein kinase path- The mitogen-activated protein (MAP) kinase cascades are way by directly phosphorylating c-Jun NH -terminal kinase. 2 multifunctional signaling pathways that are evolutionally well MKK4 genetic inactivation has been observed in a subset of conserved in all of the eukaryotic cells. One of the biological pancreatic carcinomas, implicating deregulation of the responses mediated through the MAP kinase pathways seems to stress-activated protein kinase pathway in pancreatic carci- be the decision of cell fate in response to stress-activation nogenesis. We evaluated Mkk4 protein expression patterns resulting in apoptosis. Specifically, three parallel MAP kinase by immunohistochemical labeling in a series of 60 resected cascades have been described that converge on extracellular primary infiltrating pancreatic adenocarcinomas (24 cases signal-regulated kinases, c-Jun NH -terminal kinases, or p38 with known MKK4 genetic status), and 14 different tissue 2 MAP kinases, and each consists of three classes of serine/ arrays representing the primary carcinoma and all of the threonine kinases, the MAP kinase, the MAP kinase kinase gross metastases from 26 patients that died of metastatic pancreatic cancer. Among the surgically resected carcino- (MAPKK, also known as MEK), and the MAPKK kinase mas, focal or diffuse-positive immunolabeling for Mkk4 pro- (MAPKKK). MAPKKK phosphorylates and thereby activates tein was found in 52 of 60 cases (86.7%). Among the eight MAPKK, and activated MAPKK in turn phosphorylates and carcinomas with negative Mkk4 immunolabeling, three har- activates MAP kinase (1–3). bored a homozygous deletion or intragenic mutation of the MKK4 (MAP2K4/SEK1) is a member of the MAP kinase MKK4 gene, in contrast to none of the 52 cases with positive family specifically involved in the stress-activated protein ki- Mkk4 immunolabeling (P < 0.01). Loss of Mkk4 immuno- nase (SAPK) pathway by directly phosphorylating the c-Jun labeling showed a trend toward shorter survival, with NH2-terminal kinase in response to Ask1 activation (4, 5). Mkk4-positive carcinomas having half the risk of death than Genetic inactivation of the MKK4 gene on chromosome 17p has Mkk4 immunolabel- been reported in a subset of pancreatic, biliary, and breast .(0.09 ؍ Mkk4-negative carcinomas (P carcinomas, suggesting dysregulation of the SAPK pathway may be selected for in carcinogenesis of these organs (6–8). In prostatic and ovarian carcinomas, Mkk4 is thought to function as a metastasis-suppressor gene in that loss of Mkk4 expression, Received 5/5/04; revised 6/29/04; accepted 8/2/04. but not genetic inactivation, is associated with metastasis for- Grant support: The Joseph C. Monastra Fund for Pancreas Cancer Research, the Jeff Zgonina Fund for Pancreas Cancer Research, and a mation in these organs (9, 10). Soongsan Fellowship from Wonkwang University, Wonkwang, Korea The purpose of this study was to perform a survey of Mkk4 (K. Yun). expression among a set of genetically well-characterized surgi- The costs of publication of this article were defrayed in part by the cally resected primary infiltrating pancreatic cancers as well as payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to among unresectable metastatic pancreatic cancers with an im- indicate this fact. munohistochemical approach. In doing so, we hoped to deter- Requests for reprints: Christine A. Iacobuzio-Donahue, The Johns mine the specificity and sensitivity of this assay for the MKK4 Hopkins Hospital, Division of Gastrointestinal/Liver Pathology, 720 gene status, the relative rates of MKK4 loss among primary Rutland Street, Ross Building, Room 632, Baltimore, MD 21205. Phone: (410) 955-3511; Fax: (410) 614-0671; E-mail: [email protected]. infiltrating and metastatic pancreatic cancers, and the relation- ©2004 American Association for Cancer Research. ship of MKK4 to long-term prognosis. Downloaded from clincancerres.aacrjournals.org on October 1, 2021. © 2004 American Association for Cancer Research. Clinical Cancer Research 8517 MATERIALS AND METHODS Determinations of Loss of Heterozygosity and Sequenc- Tissues and Cell Lines. Paraffin-embedded blocks of 60 ing of MKK4. The genetic status of MKK4 was available for surgically resected primary infiltrating pancreatic adenocarcino- 24 of the resected primary infiltrating pancreatic adenocarcino- mas resected between 1992 and 1996 were collected from the mas analyzed in the current study. These genetic analyses have Surgical Pathology Files of The Johns Hopkins Hospital. Clin- been reported previously (7). ical and pathological data were also obtained from the Surgical Statistical Analysis. The frequencies of Mkk4 immuno- Pathology Files, including age, gender, race, tumor size, tumor labeling among cancer samples with known genetic status were ␹2 location, lymph node status, histologic subtype of invasive analyzed by the test with modification by the Fisher’s exact Ͻ carcinoma, and patient survival. The mean patient age was 63.3 test to account for frequency values 5. For purposes of statis- years old and included 34 males and 26 females. The H&E- tical analysis, focal and diffuse-positive labeling carcinomas were combined for comparison to negative labeling cancers. For stained slides from each case of primary infiltrating carcinoma determinations of overall survival in relation to immunohisto- were screened by light microscopy, and representative sections chemical labeling of Mkk4 protein, event time distributions containing infiltrating adenocarcinoma were selected for immu- were estimated with the Kaplan-Meier method (11) and com- nolabeling. pared with the log-rank statistic (12) or the proportional hazards Construction of Metastatic Pancreatic Cancer Tissue regression model (13). Other factors tested for prognostic value Microarrays. The paraffin-embedded tissues from 26 patients included age, race, gender, size of tumor, nodal status, and who died of histologically confirmed metastatic pancreatic can- tumor differentiation. Hazard ratios were expressed relative to a cer between 1972 to 1993 were collected from the Autopsy baseline reference category. Computations were done with the Pathology Files of The Johns Hopkins Hospital and used to Statistical Analysis System or EGRET (14). All Ps reported are construct 14 different tissue arrays representing the primary two-sided. For all of the statistical analyses, PsofՅ0.05 were carcinoma and all of the gross metastases from these patients. considered significant. Patient ages ranged from 35 to 89 years with a mean of 62.8. Fifteen patients were male and 11 were female. A total of 20 RESULTS different target organs were represented with a mean number of Mkk4 Protein Expression in Normal Pancreas and Pan- metastatic sites per patient of 3.4. The three major metastatic creatic Cancers. Mkk4 protein expression was noted in 52 of sites were liver, lung, and lymph node. For tissue microarray 60 (86.7%) infiltrating pancreatic ductal adenocarcinomas (Fig. construction, representative paraffin-embedded sections con- 1, A and B). In all of the cases, Mkk4 labeling had a cytoplasmic taining primary infiltrating or metastatic pancreatic ductal ade- distribution with scattered nuclear labeling. Of these 52 adeno- nocarcinoma were circled on the glass slides and used as a carcinomas with positive immunolabeling, 45 (87%) showed template. The tissue microarray was constructed with a manual diffuse labeling and 7 (13%) showed focal labeling. Adjacent Tissue Puncher/Arrayer (Beecher Instruments, Silver Spring, normal pancreatic tissue was also available for study within the MD). For each individual primary or metastatic sample, up to 4 same sections of infiltrating carcinoma. Immunolabeling for 1.4-mm cores were punched from the donor block to account for Mkk4 was detected within normal acini, islets, and duct epithe- tissue heterogeneity (depending on the size of the lesion). A lium (Fig. 1C).
Recommended publications
  • Table 1 Top 100 Phosphorylated Substrates and Their Corresponding Kinases in Chondrosarcoma Cultures As Used for IPA Analysis
    Table 1 Top 100 phosphorylated substrates and their corresponding kinases in chondrosarcoma cultures as used for IPA analysis. Average Fold Adj intensity in Change p- chondrosarcoma Corresponding MSC value cultures Substrate Protein Psite kinase (log2) MSC 1043.42 RKKKVSSTKRH Cytohesin-1 S394 PKC 1.83 0.001 746.95 RKGYRSQRGHS Vitronectin S381 PKC 1.00 0.056 709.03 RARSTSLNERP Tuberin S939 AKT1 1.64 0.008 559.42 SPPRSSLRRSS Transcription elongation factor A-like1 S37 PKC; GSK3 0.18 0.684 515.29 LRRSLSRSMSQ Telethonin S157 Titin 0.77 0.082 510.00 MQPDNSSDSDY CD5 T434 PKA -0.35 0.671 476.27 GGRGGSRARNL Heterogeneous nuclear ribonucleoprotein K S302 PKCdelta 1.03 0.028 455.97 LKPGSSHRKTK Bruton's tyrosine kinase S180 PKCbeta 1.55 0.001 444.65 RRRMASMQRTG E1A binding protein p300 S1834 AKT; p70S6 kinase; pp90Rsk 0.53 0.195 Guanine nucleotide binding protein, alpha Z 440.26 HLRSESQRQRR polypeptide S27 PKC 0.88 0.199 6-phosphofructo-2-kinase/fructose-2,6- 424.12 RPRNYSVGSRP biphosphatase 2 S483 AKT 1.32 0.003 419.61 KKKIATRKPRF Metabotropic glutamate receptor 1 T695 PKC 1.75 0.001 391.21 DNSSDSDYDLH CD5 T453 Lck; Fyn -2.09 0.001 377.39 LRQLRSPRRAQ Ras associated protein Rab4 S204 CDC2 0.63 0.091 376.28 SSQRVSSYRRT Desmin S12 Aurora kinase B 0.56 0.255 369.05 ARIGGSRRERS EP4 receptor S354 PKC 0.29 0.543 RPS6 kinase alpha 3; PKA; 367.99 EPKRRSARLSA HMG14 S7 PKC -0.01 0.996 Peptidylglycine alpha amidating 349.08 SRKGYSRKGFD monooxygenase S930 PKC 0.21 0.678 347.92 RRRLSSLRAST Ribosomal protein S6 S236 PAK2 0.02 0.985 346.84 RSNPPSRKGSG Connexin
    [Show full text]
  • Protein-Protein Interactions Among Signaling Pathways May Become New Therapeutic Targets in Liver Cancer (Review)
    ONCOLOGY REPORTS 35: 625-638, 2016 Protein-protein interactions among signaling pathways may become new therapeutic targets in liver cancer (Review) XIAO ZHANG1*, YULAN WANG1*, Jiayi WANG1,2 and FENYONG SUN1 1Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai 200072; 2Translation Medicine of High Institute, Tongji University, Shanghai 200092, P.R. China Received May 29, 2015; Accepted July 6, 2015 DOI: 10.3892/or.2015.4464 Abstract. Numerous signaling pathways have been shown to be 1. Introduction dysregulated in liver cancer. In addition, some protein-protein interactions are prerequisite for the uncontrolled activation Liver cancer is the sixth most common cancer and the second or inhibition of these signaling pathways. For instance, in most common cause of cancer-associated mortality world- the PI3K/AKT signaling pathway, protein AKT binds with wide (1). Approximately 75% of all primary liver cancer types a number of proteins such as mTOR, FOXO1 and MDM2 to are hepatocellular carcinoma (HCC) that formed from liver play an oncogenic role in liver cancer. The aim of the present cells. Liver cancer can be formed from other structures in review was to focus on a series of important protein-protein the liver such as bile duct, blood vessels and immune cells. interactions that can serve as potential therapeutic targets Secondary liver cancer is a result of metastasis of cancer from in liver cancer among certain important pro-carcinogenic other body sites into the liver. The major cause of primary liver signaling pathways. The strategies of how to investigate and cancer is viral infection with either hepatitis C virus (HCV) analyze the protein-protein interactions are also included in or hepatitis B virus (HBV), which leads to massive inflamma- this review.
    [Show full text]
  • Inhibition of ERK 1/2 Kinases Prevents Tendon Matrix Breakdown Ulrich Blache1,2,3, Stefania L
    www.nature.com/scientificreports OPEN Inhibition of ERK 1/2 kinases prevents tendon matrix breakdown Ulrich Blache1,2,3, Stefania L. Wunderli1,2,3, Amro A. Hussien1,2, Tino Stauber1,2, Gabriel Flückiger1,2, Maja Bollhalder1,2, Barbara Niederöst1,2, Sandro F. Fucentese1 & Jess G. Snedeker1,2* Tendon extracellular matrix (ECM) mechanical unloading results in tissue degradation and breakdown, with niche-dependent cellular stress directing proteolytic degradation of tendon. Here, we show that the extracellular-signal regulated kinase (ERK) pathway is central in tendon degradation of load-deprived tissue explants. We show that ERK 1/2 are highly phosphorylated in mechanically unloaded tendon fascicles in a vascular niche-dependent manner. Pharmacological inhibition of ERK 1/2 abolishes the induction of ECM catabolic gene expression (MMPs) and fully prevents loss of mechanical properties. Moreover, ERK 1/2 inhibition in unloaded tendon fascicles suppresses features of pathological tissue remodeling such as collagen type 3 matrix switch and the induction of the pro-fbrotic cytokine interleukin 11. This work demonstrates ERK signaling as a central checkpoint to trigger tendon matrix degradation and remodeling using load-deprived tissue explants. Tendon is a musculoskeletal tissue that transmits muscle force to bone. To accomplish its biomechanical function, tendon tissues adopt a specialized extracellular matrix (ECM) structure1. Te load-bearing tendon compart- ment consists of highly aligned collagen-rich fascicles that are interspersed with tendon stromal cells. Tendon is a mechanosensitive tissue whereby physiological mechanical loading is vital for maintaining tendon archi- tecture and homeostasis2. Mechanical unloading of the tissue, for instance following tendon rupture or more localized micro trauma, leads to proteolytic breakdown of the tissue with severe deterioration of both structural and mechanical properties3–5.
    [Show full text]
  • PRODUCTS and SERVICES Target List
    PRODUCTS AND SERVICES Target list Kinase Products P.1-11 Kinase Products Biochemical Assays P.12 "QuickScout Screening Assist™ Kits" Kinase Protein Assay Kits P.13 "QuickScout Custom Profiling & Panel Profiling Series" Targets P.14 "QuickScout Custom Profiling Series" Preincubation Targets Cell-Based Assays P.15 NanoBRET™ TE Intracellular Kinase Cell-Based Assay Service Targets P.16 Tyrosine Kinase Ba/F3 Cell-Based Assay Service Targets P.17 Kinase HEK293 Cell-Based Assay Service ~ClariCELL™ ~ Targets P.18 Detection of Protein-Protein Interactions ~ProbeX™~ Stable Cell Lines Crystallization Services P.19 FastLane™ Structures ~Premium~ P.20-21 FastLane™ Structures ~Standard~ Kinase Products For details of products, please see "PRODUCTS AND SERVICES" on page 1~3. Tyrosine Kinases Note: Please contact us for availability or further information. Information may be changed without notice. Expression Protein Kinase Tag Carna Product Name Catalog No. Construct Sequence Accession Number Tag Location System HIS ABL(ABL1) 08-001 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) BTN BTN-ABL(ABL1) 08-401-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ABL(ABL1) [E255K] HIS ABL(ABL1)[E255K] 08-094 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) HIS ABL(ABL1)[T315I] 08-093 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) [T315I] BTN BTN-ABL(ABL1)[T315I] 08-493-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ACK(TNK2) GST ACK(TNK2) 08-196 Catalytic domain
    [Show full text]
  • An Exploration of Mutation Status of Cancer Genes in Breast Cancers
    on: Sequ ati en er c n in e g G & t x A e p Journal of Next Generation p N l f i c o Wang, Next Generat Sequenc & Applic 2014, 1:1 a l t a i o n r ISSN: 2469-9853n u s o DOI: 10.4172/2469-9853.1000103 J Sequencing & Applications Research Article Open Access An Exploration of Mutation Status of Cancer Genes in Breast Cancers Xiaosheng Wang* Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, USA *Corresponding author: Xiaosheng Wang, Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, USA, Tel: 402-559-4813; E-mail: [email protected] Rec date: Jan 21, 2014, Acc date: Apr 26, 2014, Pub date: Apr 28, 2014 Copyright: © 2014 Wang X. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction H2O in any medium, provided the original author and source are credited. Abstract Breast cancer is the most common cancer in women in US, and has the second highest mortality rate that accounts for about 25% of all cancer deaths. It has been recognized that genetic biomarkers for cancer are useful for estimating the cancer recurrence risk, and guiding targeted treatment of cancer. Since breast cancers carry a wide spectrum of gene mutations in their genomes, identification of these mutations would be promising in improving diagnosis and treatment of breast cancers. The rapid advances in Next-Generation Sequencing (NGS) technology have generated a large amount of NGS data on breast cancer genomes that makes detection and application of mutant biomarkers for breast cancer a reality.
    [Show full text]
  • The Use of Genetic Analyses and Functional Assays for the Interpretation of Rare Variants in Pediatric Heart Disease
    The use of genetic analyses and functional assays for the interpretation of rare variants in pediatric heart disease A dissertation submitted to the Division of Graduate Studies and Research, University of Cincinnati in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Molecular Genetics by Jeffrey A. Schubert Bachelor of Science, Mount St. Joseph University, 2012 Committee Chair: Stephanie M. Ware, M.D., Ph.D. Edmund Choi, Ph.D. Benjamin Landis, M.D. Anil Menon, Ph.D. David Wieczorek, Ph.D. Molecular Genetics, Biochemistry, and Microbiology Graduate Program College of Medicine, University of Cincinnati Cincinnati, Ohio, USA, 2018 ABSTRACT The use of next generation technologies such as whole exome sequencing (WES) has paved the way for discovering novel causes of Mendelian diseases. This has been demonstrated in pediatric heart diseases, including cardiomyopathy (CM) and familial thoracic aortic aneurysm (TAA). Each of these conditions carries a high risk of a serious cardiac event, including sudden heart failure or aortic rupture, which are often fatal. Patients with either disease can be asymptomatic before presenting with these events, which necessitates early diagnosis. Though there are many known genetic causes of disease for both conditions, there is still room for discovery of novel pathogenic genes and variants, as many patients have an undefined genetic diagnosis. WES covers the protein-coding portion of the genome, which yields a massive amount of data, though it comprises only 1% of the genome. Sorting and filtering sequencing information to identify (sometimes) a single base pair change responsible for the patient phenotype is challenging. Further, interpreting identified candidate variants must be done according to strict standards, which makes it difficult to definitively say whether a coding change is pathogenic or benign.
    [Show full text]
  • WO 2017/083562 Al 18 May 20 17 (18.05.2017) W 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 2017/083562 Al 18 May 20 17 (18.05.2017) W P O P C T (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, C12Q 1/68 (2006.01) C12N 15/10 (2006.01) BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (21) International Application Number: HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, PCT/US2016/061395 KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (22) International Filing Date: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 10 November 2016 (10.1 1.2016) OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, (25) Filing Language: English TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, (26) Publication Language: English ZW. (30) Priority Data: (84) Designated States (unless otherwise indicated, for every 62/254,1 10 11 November 2015 ( 11. 11.2015) US kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, (71) Applicant: RESOLUTION BIOSCIENCE, INC. TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, [US/US]; 2023 120th Avenue Northeast, Suite 100, Bel- TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, levue, Washington 98005 (US).
    [Show full text]
  • Targeted MS Quantitation Assays for Signal Transduction Protein Pathways
    Targeted MS quantitation assays for signal transduction protein pathways Paul Haney R&D Platform Manager Thermo Scientific Protein Research Products Rockford, IL Why Targeted Quantitative Proteomics via Mass Spec? . Measure protein abundance and protein isoforms (e.g. splice variants, PTMs) without the need for antibodies . Avoid immuno-based cross- reactivity during multiplexing. Validate relative quantitation data from discovery proteomic experiments 2 How Do You Select Peptides for Targeted MS Assays? List of Proteins Spectral library Discovery data repositories In silico prediction Pinpoint 1.2 Hypothesis Experimental List of target peptides and transitions 3 How Do You Select Peptides for Targeted MS Assays? List of Proteins Spectral library Discovery data repositories In silico prediction Pinpoint 1.2 Hypothesis Experimental Validation Assay results List of target peptides and transitions 4 Tools for Target Peptide Identification and Scheduling . Active-site probes for enzyme subclass enrichment . Rapid recombinant heavy protein expression using human cell-free extracts . Peptide retention time calibration mixture for chromatography QC and targeted method 100 80 60 acquisition scheduling Intensity 40 20 0 5 10 15 20 25 30 5 Tools for Target Peptide Identification and Scheduling . Active-site probes for enzyme subclass enrichment . Rapid recombinant heavy protein expression using human cell-free extracts • Stergachis, A. & MacCoss, M. (2011) Nature Methods (submitted) . Peptide retention time calibration mixture for 100 80 chromatography
    [Show full text]
  • Phosphoproteomic Analysis of Lung Tissue in Pahreveals Activation Of
    Phosphoproteomic Analysis of Lung Tissue in PAH Reveals Activation of Immune Modulatory, Angiogenic, and Cell Proliferation Pathways R. Sitapara 1,2, T.T. Lam 3, S. Festin1, L. Zisman1 NIH Support: 5R03HL110821 PHBI Tissue Repository Disclosures Ravi Sitapara: Current Employee of Pulmokine Inc. stock options in Pulmokine Inc. Steve Festin: Former Employee of Pulmokine, Inc. Lawrence Zisman: Founder and Employee of Pulmokine, Inc. Stock in Pulmokine Inc. 2 Background Kinase Signaling Plays an Important Role in PAH Preclinical and Clinical Data Suggests Therapeutic potential of kinase inhibition in PAH Pathways for Kinase Signaling in PAH are not well understood 3 Hypothesis An unbiased phosphoproteomic analysis of PAH Lung Tissue will reveal novel kinase regulatory networks implicated in the pathophysiology of PAH 4 Methods iPAH/Control Lung Tissue PHOSPHO PEPTIDE IDENTIFICATION PHBI Repository Progenesis Software MASCOT database KINASE PREDICTION PhosphoNET and NetworKIN STRING Database BUILD A KINASE NETWORK INVOLVED IN PAH 5 Clinical Data of Study Subjects from PHBI Repository Clinical Data RHC Data Medications RA mm Mean PA PCWP Endothelin Receptor Subject Diagnosis Age Gender Hg mm Hg mm Hg CO L/min PDE-V Inhibitor Antagonist Prostanoid 1 IPAH 40 F 7 47 7 6.17 Ambrisentan IV epoprostenol 2 IPAH 41 F 30 55 7 3.86 Sildenafil Bosentan IV epoprostenol 3 IPAH 38 F NA 50 8 2.87 Sildenafil Bosentan IV treprostinil IV epoprostenol/SC 4 IPAH 25 M NA 59 7 4.09 Sildenafil treprostinil 5 IPAH 40 M NA 64 12 3.1 Sildenafil Ambrisentan SC treprostinil
    [Show full text]
  • Combined Mtorc1/Mtorc2 Inhibition Blocks Growth and Induces Catastrophic Macropinocytosis in Cancer Cells
    Combined mTORC1/mTORC2 inhibition blocks growth and induces catastrophic macropinocytosis in cancer cells Ritesh K. Srivastavaa, Changzhao Lia, Jasim Khana, Nilam Sanjib Banerjeeb, Louise T. Chowb,1, and Mohammad Athara,1 aDepartment of Dermatology, University of Alabama at Birmingham, Birmingham, AL 35294; and bDepartment of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL 35294 Contributed by Louise T. Chow, October 4, 2019 (sent for review July 3, 2019; reviewed by Hasan Mukhtar and Brian A. Van Tine) The mammalian target of rapamycin (mTOR) pathway, which plays mTORC2 (9). Aberrant activation of these components of mTOR a critical role in regulating cellular growth and metabolism, is signaling pathways is associated with many cancer types, including aberrantly regulated in the pathogenesis of a variety of neoplasms. those that develop in the skin, lung, colon, breast, and brain (10–12). Here we demonstrate that dual mTORC1/mTORC2 inhibitors OSI-027 Recently, we and others have reported an association of mTOR and PP242 cause catastrophic macropinocytosis in rhabdomyosar- up-regulation with rhabdomyosarcoma (RMS) tumor progression coma (RMS) cells and cancers of the skin, breast, lung, and cervix, (13, 14). Although mTORC1 inhibitors initially exhibited some whereas the effects are much less pronounced in immortalized inhibitory effects, the tumors became resistant due to feedback human keratinocytes. Using RMS as a model, we characterize in activation of AKT signaling by the mTORC2-regulated phos- detail the mechanism of macropinocytosis induction. Macropino- phorylation (15). Therefore, extensive efforts are now ongoing to somes are distinct from endocytic vesicles and autophagosomes in develop potent inhibitors that could simultaneously target both that they are single-membrane bound vacuoles formed by projection, mTORC1 and mTORC2 signaling pathways (16, 17).
    [Show full text]
  • Dema and Faust Et Al., Suppl. Material 2020.02.03
    Supplementary Materials Cyclin-dependent kinase 18 controls trafficking of aquaporin-2 and its abundance through ubiquitin ligase STUB1, which functions as an AKAP Dema Alessandro1,2¶, Dörte Faust1¶, Katina Lazarow3, Marc Wippich3, Martin Neuenschwander3, Kerstin Zühlke1, Andrea Geelhaar1, Tamara Pallien1, Eileen Hallscheidt1, Jenny Eichhorst3, Burkhard Wiesner3, Hana Černecká1, Oliver Popp1, Philipp Mertins1, Gunnar Dittmar1, Jens Peter von Kries3, Enno Klussmann1,4* ¶These authors contributed equally to this work 1Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Robert- Rössle-Strasse 10, 13125 Berlin, Germany 2current address: University of California, San Francisco, 513 Parnassus Avenue, CA 94122 USA 3Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Robert-Rössle-Strasse 10, 13125 Berlin, Germany 4DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Oudenarder Strasse 16, 13347 Berlin, Germany *Corresponding author Enno Klussmann Max Delbrück Center for Molecular Medicine Berlin in the Helmholtz Association (MDC) Robert-Rössle-Str. 10, 13125 Berlin Germany Tel. +49-30-9406 2596 FAX +49-30-9406 2593 E-mail: [email protected] 1 Content 1. CELL-BASED SCREENING BY AUTOMATED IMMUNOFLUORESCENCE MICROSCOPY 3 1.1 Screening plates 3 1.2 Image analysis using CellProfiler 17 1.4 Identification of siRNA affecting cell viability 18 1.7 Hits 18 2. SUPPLEMENTARY TABLE S4, FIGURES S2-S4 20 2 1. Cell-based screening by automated immunofluorescence microscopy 1.1 Screening plates Table S1. Genes targeted with the Mouse Protein Kinases siRNA sub-library. Genes are sorted by plate and well. Accessions refer to National Center for Biotechnology Information (NCBI, BLA) entries. The siRNAs were arranged on three 384-well microtitre platres.
    [Show full text]
  • Mutual Exclusivity: Drivers, Pathways, and Beyond
    Mutual exclusivity: drivers, pathways, and beyond Teresa Przytycka NIH / NLM / NCBI Cancer drivers, passengers, supporting actors, witnesses • Driver mutations /alterations– mutations contributing to cancer progression • Passenger mutations – neutral mutations accumulating during cancer progression • Challenges in detecting driver mutations: – Heterogeneity - phenotypically similar cancer cases might be caused by different sets of driver mutations – Rare drivers • Best supporting actors (Igor’s talk) • Witnesses (this talk) Cancer driving pathways examples of BRCA mutated genes in their pathway context RAS 1.5% or more PIK3CR1 PTEN PIK3CA CTCF AKT1 MAPK signaling FOXA1 MAP3K1 MAP3K4 SWI/SNF MAP2K4 ARID1A mTOR NCOA3 EP300 CEBPA Mediator complex co –activator /co-repressor MED23 co –activation NCOR1 Mutual exclusivity of cancer drivers Thomas et al 2007 Ciriello, et al., 2012; Vandin, et al., 2012; Szczuret et.al , 2014, 2015 Leiserson, et al., Vadin et al. 2013,2014,2015; Kim et al. 2015 Constantinescu et al. 2015 patients mutations in gene 1 Mutations in gene 2 Explanations • Two drivers dysregulating the same pathway • Each of the drivers corresponds to of a unique cancer type or subtype • Negative genetic interactions between drivers 4 Mutually exclusive pairs often share pathways RAS PIK3CR1 PTEN PIK3CA CTCF AKT1 MAPK signaling FOXA1 MAP3K1 MAP3K4 SWI/SNF MAP2K4 ARID1A mTOR NCOA3 EP300 CEBPA Mediator complex co –activator /co-repressor MED23 co –activation NCOR1 5 Fabio Vandin et al. Genome Res. 2012;22:375-385 Mutually exclusive pairs often share pathways RAS PIK3CR1 PTEN PIK3CA CTCF AKT1 MAPK signaling FOXA1 MAP3K1 MAP3K4 SWI/SNF MAP2K4 ARID1A mTOR NCOA3 EP300 CEBPA Mediator complex co –activator /co-repressor MED23 co –activation NCOR1 6 Mutually exclusive pairs often share pathways RAS PIK3CR1 PTEN PIK3CA CTCF AKT1 MAPK signaling FOXA1 MAP3K1 MAP3K4 SWI/SNF MAP2K4 ARID1A mTOR NCOA3 EP300 CEBPA Mediator complex co –activator /co-repressor MED23 co –activation NCOR1 7 Fabio Vandin et al.
    [Show full text]