Loss of 18Q22.3 Involving the Carboxypeptidase of Glutamate-Like Gene Is Associated with Poor Prognosis in Resected Pancreatic Cancer

Total Page:16

File Type:pdf, Size:1020Kb

Loss of 18Q22.3 Involving the Carboxypeptidase of Glutamate-Like Gene Is Associated with Poor Prognosis in Resected Pancreatic Cancer Published OnlineFirst November 29, 2011; DOI: 10.1158/1078-0432.CCR-11-1903 Clinical Cancer Imaging, Diagnosis, Prognosis Research Loss of 18q22.3 Involving the Carboxypeptidase of Glutamate-like Gene Is Associated with Poor Prognosis in Resected Pancreatic Cancer Jih-Hsiang Lee1, Elisa Giovannetti4, Jin-Hyeok Hwang1,5, Iacopo Petrini1, Qiuyan Wang1, Johannes Voortman1,4, Yonghong Wang2, Seth M. Steinberg3, Niccola Funel6, Paul S. Meltzer2, Yisong Wang1, and Giuseppe Giaccone1 Abstract Purposes: Pancreatic cancer is the fourth leading cause of cancer-related death, and studies on the clinical relevance of its genomic imbalances are warranted. Experimental Design: Recurrent copy number alterations of cytobands and genes were analyzed by array comparative genomic hybridization (aCGH) in 44 resected pancreatic cancer specimens. Prognostic markers identified by aCGH were validated by PCR gene copy number assay in an independent validation cohort of 61 resected pancreatic cancers. The functions of gene identified were evaluated by proliferation, cell cycle, and migration assays in pancreatic cancer cells. Results: We showed recurrent copy number gains and losses in the first cohort. Loss of 18q22.3 was significantly associated with short-term overall survival in the first cohort (P ¼ 0.019). This cytoband includes the carboxypeptidase of glutamate-like (CPGL) gene. CPGL gene deletion was associated with shorter overall survival in the validation cohort (P ¼ 0.003). CPGL deletion and mutations of TP53 or Kras seem to be independent events. A Cox model analysis of the two cohorts combined showed that loss of 18q22.3/deletion of the CPGL gene was an independent poor prognostic factor for overall survival (HR ¼ 2.72, P ¼ 0.0007). Reconstitution of CPGL or its splicing variant CPGL-B into CPGL-negative pancreatic cancer cells attenuated cell growth, migration, and induced G1 accumulation. Conclusion: Loss of 18q22.3/deletion of the CPGL gene is a poor prognostic marker in resected pancreatic cancer, and functional studies suggest the CPGL gene as growth suppressor gene in pancreatic cancer. Clin Cancer Res; 18(2); 524–33. Ó2011 AACR. Introduction stages (4); despite surgery, the median survival for resected pancreatic cancer patients is, however, only 12.6 months Pancreatic cancer is the thirteenth most common cancer (4). The annual age-adjusted cancer death rate due to worldwide (1) and is the fourth leading cause of cancer- pancreatic cancer has not improved in the past 4 decades related death in the United States (2). The prognosis of (2). Adjuvant chemotherapy is the standard treatment, even pancreatic cancer is very poor, with a 5-year survival rate if it is modestly effective and can cause substantial toxicities under 5% (3). Surgical resection is the treatment of choice (5, 6). The role of adjuvant chemoradiotherapy is, however, for resectable disease (3) but is only possible in less than controversial, and 5-FU–based adjuvant chemoradiother- 20% of cases because most tumors are detected at advanced apy alone may worsen survival (6, 7). Few clinicopathologic and biological factors are correlat- ed with prognosis in resected pancreatic cancer. For exam- 1 2 Authors' Affiliations: Medical Oncology Branch, Genetic Branch, and ple, neither expression of p53 nor mutation of the Kras gene 3Biostatistics and Data Management Section, National Cancer Institute, NIH, Bethesda, Maryland; 4Department of Medical Oncology, VU Univer- is a prognostic marker in resected pancreatic cancer patients sity, Amsterdam, the Netherlands; 5Department of Internal Medicine, Seoul who did not receive adjuvant chemotherapy (8, 9). Novel National University Bundang Hospital, Seoul, Republic of Korea; and 6Department of Oncology, University of Pisa, Pisa, Italy biomarkers to accurately predict survival or guide selection of patients for adjuvant treatment are urgently needed. Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/). Given the heterogeneous and complex genetic nature of pancreatic cancer (10), many molecular alterations under- Corresponding Author: Giuseppe Giaccone, Medical Oncology Branch, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, Room lying progression and response to therapies are yet to be 12N226, Bethesda, MD 20892. Phone: 301-496-4916; Fax: 301-402-0172; identified. E-mail: [email protected] Array-based comparative genomic hybridization (aCGH) doi: 10.1158/1078-0432.CCR-11-1903 analysis has provided a powerful tool to study genomic Ó2011 American Association for Cancer Research. DNA copy number alterations in the cancer genome. aCGH 524 Clin Cancer Res; 18(2) January 15, 2012 Downloaded from clincancerres.aacrjournals.org on September 28, 2021. © 2012 American Association for Cancer Research. Published OnlineFirst November 29, 2011; DOI: 10.1158/1078-0432.CCR-11-1903 18q22.3 and Outcome of Pancreatic Cancer tion were included in the Korean cohort. Formalin-fixed, Translational Relevance paraffin-embedded samples were reviewed to confirm the diagnosis and determine tumor content at Seoul National Array comparative genomic hybridization assay has University Hospital and at National Cancer Institute, NIH, been used to identify genomic imbalance in pancreatic Bethesda, MD. Area with more than 50% of tumor cells was cancer cell lines and small cohorts of pancreatic cancer dissected for DNA extraction. patients, and the clinical relevance of genomic imbal- The Italian validation cohort was composed of frozen ance in pancreatic cancer has not yet been defined. We specimens, resected before chemotherapy from 61 pancre- comprehensively evaluated the association of genomic atic ductal adenocarcinoma Italian patients diagnosed imbalances and clinical outcome of resected pancreatic between 2001 and 2007 at the Regional Referral Center for cancer. We identified that loss of a small cytoband, Pancreatic Disease Treatment, University Hospital of Pisa, 18q22.3, which contains only 5 genes, including the Pisa, Italy. All patients underwent surgery, and adjuvant carboxypeptidase of glutamate-like (CPGL) gene, is asso- treatment consisted of gemcitabine 1,000 mg/m2/d on days ciated with worse prognosis in a testing cohort and an 1, 8, and 15 every 28 days for 2 cycles, followed by gemci- independent validation cohort of resected pancreatic tabine 300 mg/m2 weekly plus concomitant radiation ther- cancers. We showed that reconstitution of the CPGL apy to a total of 45 Gy. DNA was extracted from tumor cells gene, or its splicing variant CPGL-B, into CPGL-negative that were dissected using laser-captured microdissection as pancreatic cancer cells attenuated anchorage-indepen- described previously (31). The purity of tumor cells was dent cell growth and migration and induced G accu- 1 evaluated in 20 specimens by comparing the expression of mulation. These findings suggest that CPGL is a novel keration-7 in the microdissected samples versus in the growth suppressor for pancreatic cancer cells, and risk whole pancreas specimens as described previously (32), stratification based on the CPGL gene is warranted in and the purity was 96%. resected pancreatic cancer. Use of human samples was approved by Institutional Review Boards according to the legal regulations of the participating institutions. Written informed consent was obtained from all patients prior to inclusion in the study. analysis has been shown to be able to identify genetic Pancreatic cancer cell lines PANC-1, SU.86.86, AsPC-1, prognostic factors for several solid tumors, such as non– BxPC-3, and CFPAC-1 were obtained from American Type small cell lung cancer (11), colon cancer (12), breast cancer Culture Collection and were maintained in RPMI contain- (13), and neuroblastoma (14). Although aCGH studies ing 10% FBS. have revealed DNA copy number alterations of pancreatic cancer (15–28), the significance of these efforts were over- DNA and RNA extraction shadowed by small sample size, lack of functional valida- Genomic DNA from cancer cell lines and tumor speci- tion of emerging genes, and lack of clinical correlation. mens were extracted using DNeasy blood & tissue kit The aim of the present aCGH analysis was to identify (Qiagen) according to manufacturer’s protocol. RNA from genes whose copy number alterations might predict the pancreatic cancer cell lines was extracted by TRIzol (Invi- prognosis of resected pancreatic cancer. We employed high- trogen) according to manufacturer’s recommendation. resolution aCGH technology to a cohort of 44 paraffin embedded samples from Korean patients. This represents aCGH analysis the largest series of resected pancreatic carcinomas ever aCGH was done using the Human Genome CGH Micro- investigated by aCGH. In this series, we observed a signif- array 105A (Agilent Technologies Inc.) as described previ- icant association between shorter survival and loss of cyto- ously (33). In brief, genomic DNA was hybridized to a band 18q22.3. Deletion of the carboxypeptidase of gluta- reference male genomic DNA (Promega) using the Genomic mate-like (CPGL) gene, included in this cytoband, was DNA ULS labeling kit (Agilent Technologies Inc.). Slides related to shorter survival in an independent Italian cohort were scanned on an Agilent Microarray Scanner, followed of resected pancreatic cancers. In vitro studies indicated the by data extraction and normalization by Feature Extraction growth suppressor activity of this gene. v10.5 software (Agilent Technologies Inc.). Data analysis was
Recommended publications
  • Copy Number Variation in Fetal Alcohol Spectrum Disorder
    Biochemistry and Cell Biology Copy number variation in fetal alcohol spectrum disorder Journal: Biochemistry and Cell Biology Manuscript ID bcb-2017-0241.R1 Manuscript Type: Article Date Submitted by the Author: 09-Nov-2017 Complete List of Authors: Zarrei, Mehdi; The Centre for Applied Genomics Hicks, Geoffrey G.; University of Manitoba College of Medicine, Regenerative Medicine Reynolds, James N.; Queen's University School of Medicine, Biomedical and Molecular SciencesDraft Thiruvahindrapuram, Bhooma; The Centre for Applied Genomics Engchuan, Worrawat; Hospital for Sick Children SickKids Learning Institute Pind, Molly; University of Manitoba College of Medicine, Regenerative Medicine Lamoureux, Sylvia; The Centre for Applied Genomics Wei, John; The Centre for Applied Genomics Wang, Zhouzhi; The Centre for Applied Genomics Marshall, Christian R.; The Centre for Applied Genomics Wintle, Richard; The Centre for Applied Genomics Chudley, Albert; University of Manitoba Scherer, Stephen W.; The Centre for Applied Genomics Is the invited manuscript for consideration in a Special Fetal Alcohol Spectrum Disorder Issue? : Keyword: Fetal alcohol spectrum disorder, FASD, copy number variations, CNV https://mc06.manuscriptcentral.com/bcb-pubs Page 1 of 354 Biochemistry and Cell Biology 1 Copy number variation in fetal alcohol spectrum disorder 2 Mehdi Zarrei,a Geoffrey G. Hicks,b James N. Reynolds,c,d Bhooma Thiruvahindrapuram,a 3 Worrawat Engchuan,a Molly Pind,b Sylvia Lamoureux,a John Wei,a Zhouzhi Wang,a Christian R. 4 Marshall,a Richard F. Wintle,a Albert E. Chudleye,f and Stephen W. Scherer,a,g 5 aThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital 6 for Sick Children, Toronto, Ontario, Canada 7 bRegenerative Medicine Program, University of Manitoba, Winnipeg, Canada 8 cCentre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
    [Show full text]
  • Supplementary Methods
    Heterogeneous Contribution of Microdeletions in the Development of Common Generalized and Focal epilepsies. SUPPLEMENTARY METHODS Epilepsy subtype extended description. Genetic Gereralized Epilepsy (GGE): Features unprovoked tonic and/or clonic seizures, originated inconsistently at some focal point within the brain that rapidly generalizes engaging bilateral distributed spikes and waves discharges on the electroencephalogram. This generalization can include cortical and sub cortical structures but not necessarily the entire cortex[1]. GGE is the most common group of epilepsies accounting for 20% of all cases[2]. It is characterized by an age-related onset and a strong familial aggregation and heritability which allows the assumption of a genetic cause. Although genetic associations have been identified, a broad spectrum of causes is acknowledged and remains largely unsolved [3]. Rolandic Epilepsy (RE): Commonly known also as Benign Epilepsy with Centrotemporal Spikes (BECTS), hallmarks early onset diagnosis (mean onset = 7 years old) with brief, focal hemifacial or oropharyngeal sensorimotor seizures alongside speech arrest and secondarily generalized tonic– clonic seizures, which mainly occur during sleep[4]. Rolandic epilepsy features a broad spectrum of less benign related syndromes called atypical Rolandic epilepsy (ARE), including benign partial epilepsy (ABPE), Landau–Kleffner syndrome(LKS) and epileptic encephalopathy with continuous spike-and-waves during sleep (CSWSS)[5]. Together they are the most common childhood epilepsy with a prevalence of 0.2–0.73/1000 (i.e. _1/2500)[6]. Adult Focal Epilepsy (AFE). Focal epilepsy is characterized by sporadic events of seizures originated within a specific brain region and restricted to one hemisphere. Although they can exhibit more than one network of wave discharges on the electroencephalogram, and different degrees of spreading, they feature a consistent site of origin.
    [Show full text]
  • Olfactory Receptors in Non-Chemosensory Organs: the Nervous System in Health and Disease
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Sissa Digital Library REVIEW published: 05 July 2016 doi: 10.3389/fnagi.2016.00163 Olfactory Receptors in Non-Chemosensory Organs: The Nervous System in Health and Disease Isidro Ferrer 1,2,3*, Paula Garcia-Esparcia 1,2,3, Margarita Carmona 1,2,3, Eva Carro 2,4, Eleonora Aronica 5, Gabor G. Kovacs 6, Alice Grison 7 and Stefano Gustincich 7 1 Institute of Neuropathology, Bellvitge University Hospital, Hospitalet de Llobregat, University of Barcelona, Barcelona, Spain, 2 Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain, 3 Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain, 4 Neuroscience Group, Research Institute Hospital, Madrid, Spain, 5 Department of Neuropathology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands, 6 Institute of Neurology, Medical University of Vienna, Vienna, Austria, 7 Scuola Internazionale Superiore di Studi Avanzati (SISSA), Area of Neuroscience, Trieste, Italy Olfactory receptors (ORs) and down-stream functional signaling molecules adenylyl cyclase 3 (AC3), olfactory G protein a subunit (Gaolf), OR transporters receptor transporter proteins 1 and 2 (RTP1 and RTP2), receptor expression enhancing protein 1 (REEP1), and UDP-glucuronosyltransferases (UGTs) are expressed in neurons of the human and murine central nervous system (CNS). In vitro studies have shown that these receptors react to external stimuli and therefore are equipped to be functional. However, ORs are not directly related to the detection of odors. Several molecules delivered from the blood, cerebrospinal fluid, neighboring local neurons and glial cells, distant cells through the extracellular space, and the cells’ own self-regulating internal homeostasis Edited by: Filippo Tempia, can be postulated as possible ligands.
    [Show full text]
  • Identification of Candidate Biomarkers and Pathways Associated with Type 1 Diabetes Mellitus Using Bioinformatics Analysis
    bioRxiv preprint doi: https://doi.org/10.1101/2021.06.08.447531; this version posted June 9, 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. Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.06.08.447531; this version posted June 9, 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. Abstract Type 1 diabetes mellitus (T1DM) is a metabolic disorder for which the underlying molecular mechanisms remain largely unclear. This investigation aimed to elucidate essential candidate genes and pathways in T1DM by integrated bioinformatics analysis. In this study, differentially expressed genes (DEGs) were analyzed using DESeq2 of R package from GSE162689 of the Gene Expression Omnibus (GEO). Gene ontology (GO) enrichment analysis, REACTOME pathway enrichment analysis, and construction and analysis of protein-protein interaction (PPI) network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network, and validation of hub genes were then performed. A total of 952 DEGs (477 up regulated and 475 down regulated genes) were identified in T1DM. GO and REACTOME enrichment result results showed that DEGs mainly enriched in multicellular organism development, detection of stimulus, diseases of signal transduction by growth factor receptors and second messengers, and olfactory signaling pathway.
    [Show full text]
  • Chr CNV Start CNV Stop Gene Gene Feature 1 37261312 37269719
    chr CNV start CNV stop Gene Gene feature 1 37261312 37269719 Tmem131 closest upstream gene 1 37261312 37269719 Cnga3 closest downstream gene 1 41160869 41180390 Tmem182 closest upstream gene 1 41160869 41180390 2610017I09Rik closest downstream gene 1 66835123 66839616 1110028C15Rik in region 2 88714200 88719211 Olfr1206 closest upstream gene 2 88714200 88719211 Olfr1208 closest downstream gene 2 154840037 154846228 a in region 3 30065831 30417157 Mecom closest upstream gene 3 30065831 30417157 Arpm1 closest downstream gene 3 35476875 35495913 Sox2ot closest upstream gene 3 35476875 35495913 Atp11b closest downstream gene 3 39563408 39598697 Fat4 closest upstream gene 3 39563408 39598697 Intu closest downstream gene 3 94246481 94410611 Celf3 in region 3 94246481 94410611 Mrpl9 in region 3 94246481 94410611 Riiad1 in region 3 94246481 94410611 Snx27 in region 3 104311901 104319916 Lrig2 in region 3 144613709 144619149 Clca6 in region 3 144613709 144619149 Clca6 in region 4 108673 137301 Vmn1r2 closest downstream gene 4 3353037 5882883 6330407A03Rik in region 4 3353037 5882883 Chchd7 in region 4 3353037 5882883 Fam110b in region 4 3353037 5882883 Impad1 in region 4 3353037 5882883 Lyn in region 4 3353037 5882883 Mos in region 4 3353037 5882883 Penk in region 4 3353037 5882883 Plag1 in region 4 3353037 5882883 Rps20 in region 4 3353037 5882883 Sdr16c5 in region 4 3353037 5882883 Sdr16c6 in region 4 3353037 5882883 Tgs1 in region 4 3353037 5882883 Tmem68 in region 4 5919294 6304249 Cyp7a1 in region 4 5919294 6304249 Sdcbp in region 4 5919294
    [Show full text]
  • Output Results of CLIME (Clustering by Inferred Models of Evolution)
    Output results of CLIME (CLustering by Inferred Models of Evolution) Dataset: Num of genes in input gene set: 4 Total number of genes: 20834 Prediction LLR threshold: 0 The CLIME PDF output two sections: 1) Overview of Evolutionarily Conserved Modules (ECMs) Top panel shows the predefined species tree. Bottom panel shows the partition of input genes into Evolutionary Conserved Modules (ECMs), ordered by ECM strength (shown at right), and separated by horizontal lines. Each row show one gene, where the phylogenetic profile indicates presence (blue) or absence (gray) of homologs in each species (column). Gene symbols are shown at left. Gray color indicates that the gene is a paralog to a higher scoring gene within the same ECM (based on BLASTP E < 1e-3). 2) Details of each ECM and its expansion ECM+ Top panel shows the inferred evolutionary history on the predefined species tree. Branch color shows the gain event (blue) and loss events (red color, with brighter color indicating higher confidence in loss). Branches before the gain or after a loss are shown in gray. Bottom panel shows the input genes that are within the ECM (blue/white rows) as well as all genes in the expanded ECM+ (green/gray rows). The ECM+ includes genes likely to have arisen under the inferred model of evolution relative to a background model, and scored using a log likelihood ratio (LLR). PG indicates "paralog group" and are labeled alphabetically (i.e., A, B). The first gene within each paralog group is shown in black color. All other genes sharing sequence similarity (BLAST E < 1e-3) are assigned to the same PG label and displayed in gray.
    [Show full text]
  • Supplementary Data
    SUPPLEMENTARY METHODS 1) Characterisation of OCCC cell line gene expression profiles using Prediction Analysis for Microarrays (PAM) The ovarian cancer dataset from Hendrix et al (25) was used to predict the phenotypes of the cell lines used in this study. Hendrix et al (25) analysed a series of 103 ovarian samples using the Affymetrix U133A array platform (GEO: GSE6008). This dataset comprises clear cell (n=8), endometrioid (n=37), mucinous (n=13) and serous epithelial (n=41) primary ovarian carcinomas and samples from 4 normal ovaries. To build the predictor, the Prediction Analysis of Microarrays (PAM) package in R environment was employed (http://rss.acs.unt.edu/Rdoc/library/pamr/html/00Index.html). When more than one probe described the expression of a given gene, we used the probe with the highest median absolute deviation across the samples. The dataset from Hendrix et al. (25) and the dataset of OCCC cell lines described in this manuscript were then overlaid on the basis of 11536 common unique HGNC gene symbols. Only the 99 primary ovarian cancers samples and the four normal ovary samples were used to build the predictor. Following leave one out cross-validation, a predictor based upon 126 genes was able to identify correctly the four distinct phenotypes of primary ovarian tumour samples with a misclassification rate of 18.3%. This predictor was subsequently applied to the expression data from the 12 OCCC cell lines to determine the likeliest phenotype of the OCCC cell lines compared to primary ovarian cancers. Posterior probabilities were estimated for each cell line in comparison to the following phenotypes: clear cell, endometrioid, mucinous and serous epithelial.
    [Show full text]
  • Expression Pattern of Olfactory Receptor Genes in Human Cumulus Cells As an Indicator for Competent Oocyte Selection
    Turkish Journal of Biology Turk J Biol (2020) 44: 371-380 http://journals.tubitak.gov.tr/biology/ © TÜBİTAK Research Article doi:10.3906/biy-2003-79 Expression pattern of olfactory receptor genes in human cumulus cells as an indicator for competent oocyte selection 1 2 1,3 4 5 Neda DAEI-FARSHBAF , Reza AFLATOONIAN , Fatemeh-Sadat AMJADI , Sara TALEAHMAD , Mahnaz ASHRAFI , 3,1, Mehrdad BAKHTIYARI * 1 Department of Anatomy, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran 2 Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, Academic Center for Education, Culture and Research, Tehran, Iran 3 Cellular and Molecular Research Center, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran 4 Department of Molecular Systems Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology (RI-SCBT), Academic Center for Education, Culture and Research, Tehran, Iran 5 Department of Obstetrics and Gynecology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran Received: 26.03.2020 Accepted/Published Online: 09.09.2020 Final Version: 14.12.2020 Abstract: Odorant or olfactory receptors are mainly localized in the olfactory epithelium for the perception of different odors. Interestingly, many ectopic olfactory receptors with low expression levels have recently been found in nonolfactory tissues to involve in local functions. Therefore, we investigated the probable role of the olfactory signaling pathway in the surrounding microenvironment of oocyte. This study included 22 women in intracytoplasmic sperm injection cycle. The expression of olfactory target molecules in cumulus cells surrounding the growing and mature oocytes was evaluated by Western blotting and real-time polymerase chain reaction.
    [Show full text]
  • MOL #82305 TITLE PAGE Title: Induced CYP3A4 Expression In
    Downloaded from molpharm.aspetjournals.org at ASPET Journals on September 28, 2021 1 This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted.
    [Show full text]
  • Explorations in Olfactory Receptor Structure and Function by Jianghai
    Explorations in Olfactory Receptor Structure and Function by Jianghai Ho Department of Neurobiology Duke University Date:_______________________ Approved: ___________________________ Hiroaki Matsunami, Supervisor ___________________________ Jorg Grandl, Chair ___________________________ Marc Caron ___________________________ Sid Simon ___________________________ [Committee Member Name] Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Neurobiology in the Graduate School of Duke University 2014 ABSTRACT Explorations in Olfactory Receptor Structure and Function by Jianghai Ho Department of Neurobiology Duke University Date:_______________________ Approved: ___________________________ Hiroaki Matsunami, Supervisor ___________________________ Jorg Grandl, Chair ___________________________ Marc Caron ___________________________ Sid Simon ___________________________ [Committee Member Name] An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Neurobiology in the Graduate School of Duke University 2014 Copyright by Jianghai Ho 2014 Abstract Olfaction is one of the most primitive of our senses, and the olfactory receptors that mediate this very important chemical sense comprise the largest family of genes in the mammalian genome. It is therefore surprising that we understand so little of how olfactory receptors work. In particular we have a poor idea of what chemicals are detected by most of the olfactory receptors in the genome, and for those receptors which we have paired with ligands, we know relatively little about how the structure of these ligands can either activate or inhibit the activation of these receptors. Furthermore the large repertoire of olfactory receptors, which belong to the G protein coupled receptor (GPCR) superfamily, can serve as a model to contribute to our broader understanding of GPCR-ligand binding, especially since GPCRs are important pharmaceutical targets.
    [Show full text]
  • Whole-Exome Sequencing Validates a Preclinical Mouse Model for the Prevention and Treatment of Cutaneous Squamous Cell Carcinoma Elena V
    Published OnlineFirst December 6, 2016; DOI: 10.1158/1940-6207.CAPR-16-0218 Research Article Cancer Prevention Research Whole-Exome Sequencing Validates a Preclinical Mouse Model for the Prevention and Treatment of Cutaneous Squamous Cell Carcinoma Elena V. Knatko1, Brandon Praslicka2, Maureen Higgins1, Alan Evans3, Karin J. Purdie4, Catherine A. Harwood4, Charlotte M. Proby1, Aikseng Ooi2, and Albena T. Dinkova-Kostova1,5,6 Abstract Cutaneous squamous cell carcinomas (cSCC) are among the detected in 15 of 18 (83%) cases, with 20 of 21 SNP mutations most common and highly mutated human malignancies. Solar located in the protein DNA-binding domain. Strikingly, multiple UV radiation is the major factor in the etiology of cSCC. Whole- nonsynonymous SNP mutations in genes encoding Notch family exome sequencing of 18 microdissected tumor samples (cases) members (Notch1-4) were present in 10 of 18 (55%) cases. The derived from SKH-1 hairless mice that had been chronically histopathologic spectrum of the mouse cSCC that develops in this exposed to solar-simulated UV (SSUV) radiation showed a medi- model resembles very closely the spectrum of human cSCC. We an point mutation (SNP) rate of 155 per Mb. The majority conclude that the mouse SSUV cSCCs accurately represent the (78.6%) of the SNPs are C.G>T.A transitions, a characteristic histopathologic and mutational spectra of the most prevalent UVR-induced mutational signature. Direct comparison with tumor suppressors of human cSCC, validating the use of this human cSCC cases showed high overlap in terms of both fre- preclinical model for the prevention and treatment of human quency and type of SNP mutations.
    [Show full text]
  • Homo Sapiens, Homo Neanderthalensis and the Denisova Specimen: New Insights on Their Evolutionary Histories Using Whole-Genome Comparisons
    Genetics and Molecular Biology, 35, 4 (suppl), 904-911 (2012) Copyright © 2012, Sociedade Brasileira de Genética. Printed in Brazil www.sbg.org.br Research Article Homo sapiens, Homo neanderthalensis and the Denisova specimen: New insights on their evolutionary histories using whole-genome comparisons Vanessa Rodrigues Paixão-Côrtes, Lucas Henrique Viscardi, Francisco Mauro Salzano, Tábita Hünemeier and Maria Cátira Bortolini Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil. Abstract After a brief review of the most recent findings in the study of human evolution, an extensive comparison of the com- plete genomes of our nearest relative, the chimpanzee (Pan troglodytes), of extant Homo sapiens, archaic Homo neanderthalensis and the Denisova specimen were made. The focus was on non-synonymous mutations, which consequently had an impact on protein levels and these changes were classified according to degree of effect. A to- tal of 10,447 non-synonymous substitutions were found in which the derived allele is fixed or nearly fixed in humans as compared to chimpanzee. Their most frequent location was on chromosome 21. Their presence was then searched in the two archaic genomes. Mutations in 381 genes would imply radical amino acid changes, with a frac- tion of these related to olfaction and other important physiological processes. Eight new alleles were identified in the Neanderthal and/or Denisova genetic pools. Four others, possibly affecting cognition, occured both in the sapiens and two other archaic genomes. The selective sweep that gave rise to Homo sapiens could, therefore, have initiated before the modern/archaic human divergence.
    [Show full text]