DLC1 Is a Chromosome 8P Tumor Suppressor Whose Loss Promotes Hepatocellular Carcinoma
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Genetic Analysis of Retinopathy in Type 1 Diabetes
Genetic Analysis of Retinopathy in Type 1 Diabetes by Sayed Mohsen Hosseini A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by S. Mohsen Hosseini 2014 Genetic Analysis of Retinopathy in Type 1 Diabetes Sayed Mohsen Hosseini Doctor of Philosophy Institute of Medical Science University of Toronto 2014 Abstract Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Several lines of evidence suggest a genetic contribution to the risk of DR; however, no genetic variant has shown convincing association with DR in genome-wide association studies (GWAS). To identify common polymorphisms associated with DR, meta-GWAS were performed in three type 1 diabetes cohorts of White subjects: Diabetes Complications and Control Trial (DCCT, n=1304), Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR, n=603) and Renin-Angiotensin System Study (RASS, n=239). Severe (SDR) and mild (MDR) retinopathy outcomes were defined based on repeated fundus photographs in each study graded for retinopathy severity on the Early Treatment Diabetic Retinopathy Study (ETDRS) scale. Multivariable models accounted for glycemia (measured by A1C), diabetes duration and other relevant covariates in the association analyses of additive genotypes with SDR and MDR. Fixed-effects meta- analysis was used to combine the results of GWAS performed separately in WESDR, ii RASS and subgroups of DCCT, defined by cohort and treatment group. Top association signals were prioritized for replication, based on previous supporting knowledge from the literature, followed by replication in three independent white T1D studies: Genesis-GeneDiab (n=502), Steno (n=936) and FinnDiane (n=2194). -
PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Tumor Suppressor Candidate 3 (TUSC3)
IJC International Journal of Cancer Tumor suppressor candidate 3 (TUSC3) prevents the epithelial- to-mesenchymal transition and inhibits tumor growth by modulating the endoplasmic reticulum stress response in ovarian cancer cells Katerina Kratochvılova1,2, Peter Horak3, Milan Esner1, Karel Soucˇek2,4,5, Dietmar Pils6, Mariam Anees3,7, Erwin Tomasich3, Frantisek Drafi 1, Veronika Jurtıkova1, Ales Hampl1, Michael Krainer3 and Petr Vanhara 1 1 Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic 2 Center of Biomolecular and Cellular Engineering, International Clinical Research Center, St. Anne’s University Hospital, Brno, Czech Republic 3 Department of Internal Medicine I and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria 4 Department of Cytokinetics, Institute of Biophysics, Academy of Sciences of the Czech Republic, v.v.i., Brno, Czech Republic 5 Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic 6 Department of Obstetrics and Gynecology, Molecular Oncology Group, Medical University of Vienna, Vienna, Austria 7 Department of Biochemistry, Quaid-i-Azam University, Islamabad, Pakistan Ovarian cancer is one of the most common malignancies in women and contributes greatly to cancer-related deaths. Tumor suppressor candidate 3 (TUSC3) is a putative tumor suppressor gene located at chromosomal region 8p22, which is often lost in epithelial cancers. Epigenetic silencing of TUSC3 has been associated with poor prognosis, and hypermethylation of its pro- moter provides an independent biomarker of overall and disease-free survival in ovarian cancer patients. TUSC3 is localized to the endoplasmic reticulum in an oligosaccharyl tranferase complex responsible for the N-glycosylation of proteins. However, the precise molecular role of TUSC3 in ovarian cancer remains unclear. -
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. -
LAG-3: from Molecular Functions to Clinical Applications
Open access Review J Immunother Cancer: first published as 10.1136/jitc-2020-001014 on 13 September 2020. Downloaded from LAG-3: from molecular functions to clinical applications Takumi Maruhashi , Daisuke Sugiura , Il- mi Okazaki , Taku Okazaki To cite: Maruhashi T, Sugiura D, ABSTRACT (PD-1) and cytotoxic T lymphocyte antigen Okazaki I, et al. LAG-3: from To prevent the destruction of tissues owing to excessive 4 (CTLA-4) significantly improved the molecular functions to clinical and/or inappropriate immune responses, immune outcomes of patients with diverse cancer applications. Journal for cells are under strict check by various regulatory ImmunoTherapy of Cancer types, revolutionizing cancer treatment. The mechanisms at multiple points. Inhibitory coreceptors, 2020;8:e001014. doi:10.1136/ success of these therapies verified that inhib- including programmed cell death 1 (PD-1) and cytotoxic jitc-2020-001014 itory coreceptors serve as critical checkpoints T lymphocyte antigen 4 (CTLA-4), serve as critical checkpoints in restricting immune responses against for immune cells to not attack the tumor Accepted 29 July 2020 self- tissues and tumor cells. Immune checkpoint inhibitors cells as well as self-tissues. However, response that block PD-1 and CTLA-4 pathways significantly rates are typically lower and immune-related improved the outcomes of patients with diverse cancer adverse events (irAEs) are also observed in types and have revolutionized cancer treatment. However, patients administered with immune check- response rates to such therapies are rather limited, and point inhibitors. This is indicative of the immune-rela ted adverse events are also observed in a continued need to decipher the complex substantial patient population, leading to the urgent need biology of inhibitory coreceptors to increase for novel therapeutics with higher efficacy and lower response rates and prevent such unwanted toxicity. -
Supplemental Tables4.Pdf
Yano_Supplemental_Table_S4 Gene ontology – Biological process 1 of 9 Fold List Pop Pop GO Term Count % PValue Bonferroni Benjamini FDR Genes Total Hits Total Enrichment DLC1, CADM1, NELL2, CLSTN1, PCDHGA8, CTNNB1, NRCAM, APP, CNTNAP2, FERT2, RAPGEF1, PTPRM, MPDZ, SDK1, PCDH9, PTPRS, VEZT, NRXN1, MYH9, GO:0007155~cell CTNNA2, NCAM1, NCAM2, DDR1, LSAMP, CNTN1, 50 5.61 2.14E-08 510 311 7436 2.34 4.50E-05 4.50E-05 3.70E-05 adhesion ROR2, VCAN, DST, LIMS1, TNC, ASTN1, CTNND2, CTNND1, CDH2, NEO1, CDH4, CD24A, FAT3, PVRL3, TRO, TTYH1, MLLT4, LPP, NLGN1, PCDH19, LAMA1, ITGA9, CDH13, CDON, PSPC1 DLC1, CADM1, NELL2, CLSTN1, PCDHGA8, CTNNB1, NRCAM, APP, CNTNAP2, FERT2, RAPGEF1, PTPRM, MPDZ, SDK1, PCDH9, PTPRS, VEZT, NRXN1, MYH9, GO:0022610~biological CTNNA2, NCAM1, NCAM2, DDR1, LSAMP, CNTN1, 50 5.61 2.14E-08 510 311 7436 2.34 4.50E-05 4.50E-05 3.70E-05 adhesion ROR2, VCAN, DST, LIMS1, TNC, ASTN1, CTNND2, CTNND1, CDH2, NEO1, CDH4, CD24A, FAT3, PVRL3, TRO, TTYH1, MLLT4, LPP, NLGN1, PCDH19, LAMA1, ITGA9, CDH13, CDON, PSPC1 DCC, ENAH, PLXNA2, CAPZA2, ATP5B, ASTN1, PAX6, ZEB2, CDH2, CDH4, GLI3, CD24A, EPHB1, NRCAM, GO:0006928~cell CTTNBP2, EDNRB, APP, PTK2, ETV1, CLASP2, STRBP, 36 4.04 3.46E-07 510 205 7436 2.56 7.28E-04 3.64E-04 5.98E-04 motion NRG1, DCLK1, PLAT, SGPL1, TGFBR1, EVL, MYH9, YWHAE, NCKAP1, CTNNA2, SEMA6A, EPHA4, NDEL1, FYN, LRP6 PLXNA2, ADCY5, PAX6, GLI3, CTNNB1, LPHN2, EDNRB, LPHN3, APP, CSNK2A1, GPR45, NRG1, RAPGEF1, WWOX, SGPL1, TLE4, SPEN, NCAM1, DDR1, GRB10, GRM3, GNAQ, HIPK1, GNB1, HIPK2, PYGO1, GO:0007166~cell RNF138, ROR2, CNTN1, -
DLC1 Expression Is Reduced in Human Cutaneous Melanoma And
Modern Pathology (2014) 27, 1203–1211 & 2014 USCAP, Inc. All rights reserved 0893-3952/14 $32.00 1203 DLC1 expression is reduced in human cutaneous melanoma and correlates with patient survival Cecilia Sjoestroem1, Shahram Khosravi1, Yabin Cheng1, Gholamreza Safaee Ardekani1, Magdalena Martinka2 and Gang Li1 1Department of Dermatology and Skin Science, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, BC, Canada and 2Department of Pathology, Vancouver General Hospital, Vancouver, BC, Canada Deleted in Liver Cancer-1 (DLC1) is a Rho-GTPase-activating protein known to be downregulated and function as a tumor suppressor in numerous solid and hematological cancers. Its expression status in melanoma is currently unknown however, prompting us to examine this. Using immunohistochemistry and tissue microarrays containing a large set of melanocytic lesions (n ¼ 539), we examined the expression profile of DLC1 in melanoma progression, as well as the association between DLC1 and patient survival. We detected both cytoplasmic and nuclear DLC1 expression, and found that whereas cytoplasmic DLC1 was significantly downregulated in metastatic melanoma compared with nevi and primary melanoma, nuclear DLC1 expression was significantly down in primary melanoma compared with nevi, and then further down in metastatic melanoma. Loss of cytoplasmic DLC1 was significantly associated with poorer overall and disease-specific 5-year survival rates of all melanoma (Po0.001 and P ¼ 0.001, respectively) and metastatic melanoma patients (P ¼ 0.020 and 0.008, respectively), and similar results were seen for nuclear DLC1 (Po0.001 for both overall and disease-specific survival for all melanoma patients, and P ¼ 0.004 for metastatic melanoma patients). -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
Cytogenetic and Molecular Genetic Alterations in Hepatocellular Carci- Noma
Acta Pharmacologica Sinica 2005 Jun; 26 (6): 659–665 Invited review Cytogenetic and molecular genetic alterations in hepatocellular carci- noma Sze-hang LAU, Xin-yuan GUAN1 Department of Clinical Oncology, Faculty of Medicine, The University of Hong Kong, Hong Kong, China Key words Abstract hepatocellular carcinoma; chromosome Specific chromosome aberrations are frequently detected during the development aberrations; oncogenes; tumor suppressor of hepatocellular carcinoma. Molecular cytogenetic approaches such as com- genes parative genomic hybridization and loss of heterozygosity analyses have pro- vided fruitful information on changes in HCC cases at the genomic level. Map- 1 Correspondence to Dr Xin-yuan GUAN. ping of chromosome gains and losses have frequently resulted in the identifica- Fax 852-2816-9126. E-mail [email protected] tion of oncogenes and tumor suppressors, respectively. In this review, we sum- marize some frequently detected chromosomal aberrations reported for hepatocel- Received 2005-02-17 lular carcinoma cases using comparative genomic hybridization and loss of het- Accepted 2005-03-25 erozygosity studies. Focus will be on gains of 1q, 8q, and 20q, and losses of 4q, doi: 10.1111/j.1745-7254.2005.00126.x 8p, 13q, 16q, and 17p. We then examine the candidate oncogenes and tumor suppressors located within these regions, and explore their possible functions in hepatocarcinogenesis. Finally, the impact of microarray-based screening platforms will be discussed. Introduction based on the observation of chromosome deletion del(13) (q14) in retinoblastoma[6] and the proto-oncogene myc was Hepatocellular carcinoma (HCC) is one of the most com- shown to be involved in the chromosome translocation t(8; mon human malignant neoplasms, with a particularly high 14) in human Burkett’s lymphoma[7]. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Cooperative Antiproliferative Effect of Coordinated Ectopic Expression Of
ONCOLOGY LETTERS 12: 1591-1596, 2016 Cooperative antiproliferative effect of coordinated ectopic expression of DLC1 tumor suppressor protein and silencing of MYC oncogene expression in liver cancer cells: Therapeutic implications XUYU YANG1,2, XIAOLING ZHOU1,3, PAUL TONE4, MARIAN E. DURKIN1,5 and NICHOLAS C. POPESCU1,5 1Laboratory of Experimental Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health; 2Section on Cellular Neurobiology, Eunice Kennedy Shriver National Institute of Child Health and Development; 3Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 2089-4262; 4Department of Medicine, Richmond University Medical Center, Staten Island, NY 10310; 5Laboratory of Cellular Oncology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-4262, USA Received November 11, 2015; Accepted June 3, 2016 DOI: 10.3892/ol.2016.4781 Abstract. Human hepatocellular carcinoma (HCC) is one of the injection to mice bearing subcutaneous xenografts of Huh7 cells most common types of cancer and has a very poor prognosis; transfected with shMyc or control shRNA. A cooperative thus, the development of effective therapies for the treatment of inhibitory effect of DLC1 expression and c-Myc knockdown on advanced HCC is of high clinical priority. In the present study, the growth of Huh7-derived tumors was observed, suggesting the anti-oncogenic effect of combined knockdown of c-Myc that targeted liver cell delivery of DLC1 and c-Myc shRNA expression and ectopic restoration of deleted in liver cancer 1 may serve as a possible gene therapy modality for the treatment (DLC1) expression was investigated in human liver cancer of human HCC. -
Transcriptome Analysis of Human Diabetic Kidney Disease
ORIGINAL ARTICLE Transcriptome Analysis of Human Diabetic Kidney Disease Karolina I. Woroniecka,1 Ae Seo Deok Park,1 Davoud Mohtat,2 David B. Thomas,3 James M. Pullman,4 and Katalin Susztak1,5 OBJECTIVE—Diabetic kidney disease (DKD) is the single cases, mild and then moderate mesangial expansion can be leading cause of kidney failure in the U.S., for which a cure has observed. In general, diabetic kidney disease (DKD) is not yet been found. The aim of our study was to provide an considered a nonimmune-mediated degenerative disease unbiased catalog of gene-expression changes in human diabetic of the glomerulus; however, it has long been noted that kidney biopsy samples. complement and immunoglobulins sometimes can be de- — tected in diseased glomeruli, although their role and sig- RESEARCH DESIGN AND METHODS Affymetrix expression fi arrays were used to identify differentially regulated transcripts in ni cance is not clear (4). 44 microdissected human kidney samples. The DKD samples were The understanding of DKD has been challenged by multi- significant for their racial diversity and decreased glomerular ple issues. First, the diagnosis of DKD usually is made using filtration rate (~20–30 mL/min). Stringent statistical analysis, using clinical criteria, and kidney biopsy often is not performed. the Benjamini-Hochberg corrected two-tailed t test, was used to According to current clinical practice, the development of identify differentially expressed transcripts in control and diseased albuminuria in patients with diabetes is sufficient to make the glomeruli and tubuli. Two different Web-based algorithms were fi diagnosis of DKD (5). We do not understand the correlation used to de ne differentially regulated pathways.