Long Non-Coding Rnas Regulate Drug Resistance in Cancer Kaisheng Liu1†, Lin Gao1†, Xiaoshi Ma1†, Juan-Juan Huang2, Juan Chen1, Leli Zeng3,4, Charles R
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Mechanisms and Strategies to Overcome Multiple Drug Resistance in Cancer
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector FEBS Letters 580 (2006) 2903–2909 Minireview Mechanisms and strategies to overcome multiple drug resistance in cancer Tomris Ozben* Akdeniz University, Faculty of Medicine, Department of Biochemistry, 07070 Antalya, Turkey Received 30 January 2006; accepted 9 February 2006 Available online 17 February 2006 Edited by Horst Feldmann The cytotoxic drugs that are most frequently associated with Abstract One of the major problems in chemotherapy is multi- drug resistance (MDR) against anticancer drugs. ATP-binding MDR are hydrophobic, amphipathic natural products, such as cassette (ABC) transporters are a family of proteins that medi- the taxanes (paclitaxel and docetaxel), vinca alkaloids (vinorel- ate MDR via ATP-dependent drug efflux pumps. Many MDR bine, vincristine, and vinblastine), anthracyclines (doxorubicin, inhibitors have been identified, but none of them have been pro- daunorubicin, and epirubicin), epipodophyllotoxins (etoposide ven clinically useful without side effects. Efforts continue to dis- and teniposide), antimetabolites (methorexate, fluorouracil, cover not toxic MDR inhibitors which lack pharmacokinetic cytosar, 5-azacytosine, 6-mercaptopurine, and gemcitabine) interactions with anticancer drugs. Novel approaches have also topotecan, dactinomycin, and mitomycin C [4,6–8]. been designed to inhibit or circumvent MDR. In this review, Overexpression of ATP-binding cassette (ABC) transporters the structure and function of ABC transporters and development has been shown to be responsible for MDR [5]. Therefore eluci- of MDR inhibitors are described briefly including various ap- dation of the structure and function for each ABC transporter is proaches to suppress MDR mechanisms. -
Long Noncoding RNA and Cancer: a New Paradigm Arunoday Bhan, Milad Soleimani, and Subhrangsu S
Published OnlineFirst July 12, 2017; DOI: 10.1158/0008-5472.CAN-16-2634 Cancer Review Research Long Noncoding RNA and Cancer: A New Paradigm Arunoday Bhan, Milad Soleimani, and Subhrangsu S. Mandal Abstract In addition to mutations or aberrant expression in the moting (oncogenic) functions. Because of their genome-wide protein-coding genes, mutations and misregulation of noncod- expression patterns in a variety of tissues and their tissue- ing RNAs, in particular long noncoding RNAs (lncRNA), appear specific expression characteristics, lncRNAs hold strong prom- to play major roles in cancer. Genome-wide association studies ise as novel biomarkers and therapeutic targets for cancer. In of tumor samples have identified a large number of lncRNAs this article, we have reviewed the emerging functions and associated with various types of cancer. Alterations in lncRNA association of lncRNAs in different types of cancer and dis- expression and their mutations promote tumorigenesis and cussed their potential implications in cancer diagnosis and metastasis. LncRNAs may exhibit tumor-suppressive and -pro- therapy. Cancer Res; 77(15); 1–17. Ó2017 AACR. Introduction lncRNAs (lincRNA) originate from the region between two pro- tein-coding genes; enhancer lncRNAs (elncRNA) originate from Cancer is a complex disease associated with a variety of genetic the promoter enhancer regions; bidirectional lncRNAs are local- mutations, epigenetic alterations, chromosomal translocations, ized within the vicinity of a coding transcript of the opposite deletions, and amplification (1). Noncoding RNAs (ncRNA) are strand; sense-overlapping lncRNAs overlap with one or more an emerging class of transcripts that are coded by the genome but introns and exons of different protein-coding genes in the sense are mostly not translated into proteins (2). -
Antibiotic Resistance: from the Bench to Patients
antibiotics Editorial Antibiotic Resistance: From the Bench to Patients Márió Gajdács 1,* and Fernando Albericio 2,3 1 Department of Pharmacodynamics and Biopharmacy, Faculty of Pharmacy, University of Szeged, Dóm tér 10., 6720 Szeged, Hungary 2 School of Chemistry, University of KwaZulu-Natal, Durban 4001, South Africa 3 Department of Organic Chemistry, University of Barcelona, CIBER-BBN, 08028 Barcelona, Spain * Correspondence: [email protected]; Tel.: +36-62-341-330 Received: 20 August 2019; Accepted: 26 August 2019; Published: 27 August 2019 The discovery and subsequent clinical introduction of antibiotics is one of the most important game-changers in the history of medicine [1]. These drugs have saved millions of lives from infections that would previously have been fatal, and later, they allowed for the introduction of surgical interventions, organ transplantation, care of premature infants, and cancer chemotherapy [2]. Nevertheless, the therapy of bacterial infections is becoming less and less straightforward due to the emergence of multidrug resistance (MDR) in these pathogens [3]. Direct consequences of antibiotic resistance include delays in the onset of the appropriate (effective) antimicrobial therapy, the need to use older, more toxic antibiotics (e.g., colistin) with a disadvantageous side-effect profile, longer hospital stays, and an increasing burden on the healthcare infrastructure; overall, a decrease in the quality-of-life (QoL) and an increase in the mortality rate of the affected patients [4,5]. To highlight the severity of the issue, several international declarations have been published to call governments around the globe to take action on antimicrobial resistance [6–9]. Since the 1980s, pharmaceutical companies have slowly turned away from antimicrobial research and towards the drug therapy of chronic non-communicable diseases [10,11]. -
(12) United States Patent (10) Patent No.: US 7,807,373 B2 Srivastava Et Al
US007807373B2 (12) United States Patent (10) Patent No.: US 7,807,373 B2 Srivastava et al. (45) Date of Patent: Oct. 5, 2010 (54) PROSTATE SPECIFIC GENE, PCGEM1, AND GenBank. Accession No. ACO 13401, GI:8569780, 169700 bp DNA, METHODS OF USING PCEGM1 TO DETECT, Jul. 7, 2000. TREAT, AND PREVENT PROSTATE CANCER “AC003046.” EBI Database XPO02143197, Dec. 1, 2001. (75) Inventors: Shiv Srivastava, Potomac, MD (US); Srikantanet al., “Structure and Expression of a Novel Prostate Spe Judd W. Moul, Bethesda, MD (US); cific Gene: PCGEM1. Proc. American Assoc. Cancer Research Vasantha Srikantan, Rockville, MD Annual, XP000929230, vol. 40, p. 37 (Mar. 1999). (US); Zhiqiang Zou, Gaithersburg, MD Bussemakers et al., “A New Prostate-Specific Arker, Strongly (US) Overexpressed in Prostatic Tumors.” Urological Research, XP0020743.05, vol. 25, No. 1, p. 76 (Feb. 1997). (73) Assignee: Henry M. Jackson Foundation for the Wang et al., “Genes Regulated by Androgen in the Rat Ventral Pros Advancement of Military Medicine, tate.” Proc. Nat.1 Acad. Sci., U.S.A., vol. 94, pp. 12999-13004 (Nov. Rockville, MD (US) 1997). “ACO 13401, EBI Database XP002143200, Apr. 16, 2005. (*) Notice: Subject to any disclaimer, the term of this Srikantan et al., “PCGEM1, a Prostate-Specific Gene, Is Overex patent is extended or adjusted under 35 posed in Prostate Cancer.” Proc. Natl. Acad. Sci., vol.97, No. 22, pp. U.S.C. 154(b) by 285 days. 12216-12221 (Oct. 24, 2000). (21) Appl. No.: 12/166,723 Srikantan et al., Identification of Prostate Cancer Associated Novel Gene Expression Alterations, Proc. American Assoc. Cancer (22) Filed: Jul. -
Pharmacogenetic Testing: a Tool for Personalized Drug Therapy Optimization
pharmaceutics Review Pharmacogenetic Testing: A Tool for Personalized Drug Therapy Optimization Kristina A. Malsagova 1,* , Tatyana V. Butkova 1 , Arthur T. Kopylov 1 , Alexander A. Izotov 1, Natalia V. Potoldykova 2, Dmitry V. Enikeev 2, Vagarshak Grigoryan 2, Alexander Tarasov 3, Alexander A. Stepanov 1 and Anna L. Kaysheva 1 1 Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; [email protected] (T.V.B.); [email protected] (A.T.K.); [email protected] (A.A.I.); [email protected] (A.A.S.); [email protected] (A.L.K.) 2 Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; [email protected] (N.V.P.); [email protected] (D.V.E.); [email protected] (V.G.) 3 Institute of Linguistics and Intercultural Communication, Sechenov University, 119992 Moscow, Russia; [email protected] * Correspondence: [email protected]; Tel.: +7-499-764-9878 Received: 2 November 2020; Accepted: 17 December 2020; Published: 19 December 2020 Abstract: Pharmacogenomics is a study of how the genome background is associated with drug resistance and how therapy strategy can be modified for a certain person to achieve benefit. The pharmacogenomics (PGx) testing becomes of great opportunity for physicians to make the proper decision regarding each non-trivial patient that does not respond to therapy. Although pharmacogenomics has become of growing interest to the healthcare market during the past five to ten years the exact mechanisms linking the genetic polymorphisms and observable responses to drug therapy are not always clear. Therefore, the success of PGx testing depends on the physician’s ability to understand the obtained results in a standardized way for each particular patient. -
Antibiotic Resistance in Plant-Pathogenic Bacteria
PY56CH08-Sundin ARI 23 May 2018 12:16 Annual Review of Phytopathology Antibiotic Resistance in Plant-Pathogenic Bacteria George W. Sundin1 and Nian Wang2 1Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan 48824, USA; email: [email protected] 2Citrus Research and Education Center, Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Lake Alfred, Florida 33850, USA Annu. Rev. Phytopathol. 2018. 56:8.1–8.20 Keywords The Annual Review of Phytopathology is online at kasugamycin, oxytetracycline, streptomycin, resistome phyto.annualreviews.org https://doi.org/10.1146/annurev-phyto-080417- Abstract 045946 Antibiotics have been used for the management of relatively few bacterial Copyright c 2018 by Annual Reviews. plant diseases and are largely restricted to high-value fruit crops because of Access provided by INSEAD on 06/01/18. For personal use only. All rights reserved the expense involved. Antibiotic resistance in plant-pathogenic bacteria has Annu. Rev. Phytopathol. 2018.56. Downloaded from www.annualreviews.org become a problem in pathosystems where these antibiotics have been used for many years. Where the genetic basis for resistance has been examined, antibiotic resistance in plant pathogens has most often evolved through the acquisition of a resistance determinant via horizontal gene transfer. For ex- ample, the strAB streptomycin-resistance genes occur in Erwinia amylovora, Pseudomonas syringae,andXanthomonas campestris, and these genes have pre- sumably been acquired from nonpathogenic epiphytic bacteria colocated on plant hosts under antibiotic selection. We currently lack knowledge of the effect of the microbiome of commensal organisms on the potential of plant pathogens to evolve antibiotic resistance. -
Socioeconomic Factors Associated with Antimicrobial Resistance Of
01 Pan American Journal Original research of Public Health 02 03 04 05 06 Socioeconomic factors associated with antimicrobial 07 08 resistance of Pseudomonas aeruginosa, 09 10 Staphylococcus aureus, and Escherichia coli in Chilean 11 12 hospitals (2008–2017) 13 14 15 Kasim Allel,1 Patricia García,2 Jaime Labarca,3 José M. Munita,4 Magdalena Rendic,5 Grupo 16 6 5 17 Colaborativo de Resistencia Bacteriana, and Eduardo A. Undurraga 18 19 20 21 Suggested citation Allel K, García P, Labarca J, Munita JM, Rendic M; Grupo Colaborativo de Resistencia Bacteriana; et al. Socioeconomic fac- 22 tors associated with antimicrobial resistance of Pseudomonas aeruginosa, Staphylococcus aureus, and Escherichia coli in 23 Chilean hospitals (2008–2017). Rev Panam Salud Publica. 2020;44:e30. https://doi.org/10.26633/RPSP.2020.30 24 25 26 27 ABSTRACT Objective. To identify socioeconomic factors associated with antimicrobial resistance of Pseudomonas aeru- 28 ginosa, Staphylococcus aureus, and Escherichia coli in Chilean hospitals (2008–2017). 29 Methods. We reviewed the scientific literature on socioeconomic factors associated with the emergence and 30 dissemination of antimicrobial resistance. Using multivariate regression, we tested findings from the literature drawing from a longitudinal dataset on antimicrobial resistance from 41 major private and public hospitals and 31 a nationally representative household survey in Chile (2008–2017). We estimated resistance rates for three pri- 32 ority antibiotic–bacterium pairs, as defined by the Organisation for Economic Co-operation and Development; 33 i.e., imipenem and meropenem resistant P. aeruginosa, cloxacillin resistant S. aureus, and cefotaxime and 34 ciprofloxacin resistant E. coli. 35 Results. -
Pharmacogenomics to Predict Tumor Therapy Response: a Focus on ATP-Binding Cassette Transporters and Cytochromes P450
Journal of Personalized Medicine Review Pharmacogenomics to Predict Tumor Therapy Response: A Focus on ATP-Binding Cassette Transporters and Cytochromes P450 Viktor Hlaváˇc 1,2,* , Petr Holý 1,2,3 and Pavel Souˇcek 1,2 1 Toxicogenomics Unit, National Institute of Public Health, 100 00 Prague, Czech Republic; [email protected] (P.H.); [email protected] (P.S.) 2 Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 306 05 Pilsen, Czech Republic 3 Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic * Correspondence: [email protected]; Tel.: +420-267082681; Fax: +420-267311236 Received: 31 July 2020; Accepted: 26 August 2020; Published: 28 August 2020 Abstract: Pharmacogenomics is an evolving tool of precision medicine. Recently,due to the introduction of next-generation sequencing and projects generating “Big Data”, a plethora of new genetic variants in pharmacogenes have been discovered. Cancer resistance is a major complication often preventing successful anticancer treatments. Pharmacogenomics of both somatic mutations in tumor cells and germline variants may help optimize targeted treatments and improve the response to conventional oncological therapy. In addition, integrative approaches combining copy number variations and long noncoding RNA profiling with germline and somatic variations seem to be a promising approach as well. In pharmacology, expression and enzyme activity are traditionally the more studied aspects of ATP-binding cassette transporters and cytochromes P450. In this review, we briefly introduce the field of pharmacogenomics and the advancements driven by next-generation sequencing and outline the possible roles of genetic variation in the two large pharmacogene superfamilies. -
Antimicrobial Drug Resistance: “Prediction Is Very Difficult, Especially About the Future”1 Patrice Courvalin*
Antimicrobial Drug Resistance: “Prediction Is Very Difficult, Especially about the Future”1 Patrice Courvalin* Evolution of bacteria towards resistance to antimicro- these drugs; a notion reinforced by the observation that bial drugs, including multidrug resistance, is unavoidable resistance is slowly reversible (3,4). because it represents a particular aspect of the general Therefore, attempting to predict the future of the rela- evolution of bacteria that is unstoppable. Therefore, the tionship between antimicrobial drugs and bacteria is con- only means of dealing with this situation is to delay the ceptually challenging and potentially useful. For the sake emergence and subsequent dissemination of resistant bac- teria or resistance genes. Resistance to antimicrobial drugs of convenience, the examples will be taken mainly from in bacteria can result from mutations in housekeeping the work carried out in the author’s laboratory, although structural or regulatory genes. Alternatively, resistance can numerous other examples can be found in the literature. result from the horizontal acquisition of foreign genetic The clinically relevant predictable resistance types are information. The 2 phenomena are not mutually exclusive listed in the Table. Although they have not yet been report- and can be associated in the emergence and more efficient ed, they may exist in nature; their apparent absence is, at spread of resistance. This review discusses the predictable least for some of them, rather surprising. For example, future of the relationship between antimicrobial drugs and streptococci, including pneumococci and groups A, C, and bacteria. G, can easily acquire in vitro conjugative plasmids from enterococci and stably maintain and phenotypically ver the last 60 years, bacteria and, in particular, those express them (5). -
Oncotarget-05-764.Pdf
Open Research Online The Open University’s repository of research publications and other research outputs Identification of a long non-coding RNA as a novel biomarker and potential therapeutic target for metastatic prostate cancer Journal Item How to cite: Crea, Francesco; Watahiki, Akira; Quagliata, Luca; Xue, Hui; Pikor, Larissa; Parolia, Abhijit; Wang, Yuwei; Lin, Dong; Lam, Wan L.; Farrar, William L.; Isogai, Takao; Morant, Rudolf; Castori-Eppenberger, Serenella; Chi, Kim N.; Wang, Yuzhuo and Helgason, Cheryl D. (2014). Identification of a long non-coding RNA as a novel biomarker and potential therapeutic target for metastatic prostate cancer. Oncotarget, 5(3) pp. 764–774. For guidance on citations see FAQs. c 2014 The Authors https://creativecommons.org/licenses/by/4.0/ Version: Version of Record Link(s) to article on publisher’s website: http://dx.doi.org/doi:10.18632/oncotarget.1769 Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online’s data policy on reuse of materials please consult the policies page. oro.open.ac.uk www.impactjournals.com/oncotarget/ Oncotarget, Vol. 5, No. 3 Identification of a long non-coding RNA as a novel biomarker and potential therapeutic target for metastatic prostate cancer Francesco Crea1, Akira Watahiki1,2, Luca Quagliata3, Hui Xue1, Larissa Pikor4, Abhijit Parolia1,5, Yuwei Wang1, Dong Lin1,2, Wan L. Lam4, William L. Farrar6, Takao Isogai7, Rudolf Morant8, Serenella Castori-Eppenberger3, Kim N. Chi2,9, Yuzhuo Wang1,2, and Cheryl D. Helgason1 1 Experimental Therapeutics, BC Cancer Agency Cancer Research Centre, Vancouver BC, Canada. -
Multiple Drug Resistance: a Fast-Growing Threat
Review Article ISSN: 2574 -1241 DOI: 10.26717/BJSTR.2019.21.003572 Multiple Drug Resistance: A Fast-Growing Threat Eremwanarue Aibuedefe Osagie1,2* and Shittu Hakeem Olalekan1 1Department of Plant Biology and Biotechnology, University of Benin, Nigeria 2Lahor Research Laboratories and Diagnostics Centre, Nigeria *Corresponding author: Eremwanarue Aibuedefe Osagie, Department of Plant Biology and Biotechnology, University of Benin, Nigeria ARTICLE INFO Abstract Received: September 03, 2019 The spread of antibiotic resistant bacteria is a growing problem and a public health Published: September 10, 2019 issue. Over the years, various genetic mechanisms concerned with antibiotic resistance have been identified to be natural and acquired resistance. The natural resistance Citation: Eremwanarue Aibuedefe Osag- ie, Shittu Hakeem Olalekan. Multiple Geneticinvolved Elements mutation [MGEs] via target such modification,as plasmid, transposon reduced permeability, and integrons efflux genetic system elements and Drug Resistance: A Fast-Growing Threat. on the other hand, acquired resistance via horizontal gene tranfer include Moblie Biomed J Sci & Tech Res 21(2)-2019. Integrons are widely distributed, especially in Gram-negative bacteria; they are carried BJSTR. MS.ID.003572. bythat Mobile can acquire, Genetic exchange, Elements and such express as plasmids, genes embeddedand transposons, within whichGene Cassettespromote [GC].their spread within bacterial communities and have been studied mainly in the clinical setting Keywords: Antibiotics; Multiple Drug for their involvement in antibiotic resistance, their role in the environment is now an Resistant Bacteria; Mobile Genetic increasing focus of attention. The aim of this review is to educate the populise about Element; Integrons Plasmid the mechanisms of multiple drug resistance bacteria isolates and the danger ahead if appropriate regulations are not put in place especially in developing country like Nigeria. -
Novel Long Non-Coding Rnas Are Specific Diagnostic and Prognostic Markers for Prostate Cancer
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 6, No.6 Novel long non-coding RNAs are specific diagnostic and prognostic markers for prostate cancer René Böttcher1,3, A. Marije Hoogland2, Natasja Dits1, Esther I. Verhoef2, Charlotte Kweldam2, Piotr Waranecki1, Chris H. Bangma1, Geert J.L.H. van Leenders2, Guido Jenster1 1Dept. of Urology, Erasmus MC, Rotterdam, The Netherlands 2Dept. of Pathology, Erasmus MC, Rotterdam, The Netherlands 3Dept. of Bioinformatics, Technical University of Applied Sciences Wildau, Wildau, Germany Correspondence to: Guido Jenster, e-mail: [email protected] Keywords: Long non-coding RNA, prostate cancer, in situ hybridization, exon array, biomarkers Received: August 22, 2014 Accepted: December 08, 2014 Published: February 17, 2015 ABSTRACT Current prostate cancer (PCa) biomarkers such as PSA are not optimal in distinguishing cancer from benign prostate diseases and predicting disease outcome. To discover additional biomarkers, we investigated PCa-specific expression of novel unannotated transcripts. Using the unique probe design of Affymetrix Human Exon Arrays, we identified 334 candidates (EPCATs), of which 15 were validated by RT-PCR. Combined into a diagnostic panel, 11 EPCATs classified 80% of PCa samples correctly, while maintaining 100% specificity. High specificity was confirmed by in situ hybridization for EPCAT4R966 and EPCAT2F176 (SChLAP1) on extensive tissue microarrays. Besides being diagnostic, EPCAT2F176 and EPCAT4R966 showed significant association with pT-stage and were present in PIN lesions. We also found EPCAT2F176 and EPCAT2R709 to be associated with development of metastases and PCa-related death, and EPCAT2F176 to be enriched in lymph node metastases. Functional significance of expression of 9 EPCATs was investigated by siRNA transfection, revealing that knockdown of 5 different EPCATs impaired growth of LNCaP and 22RV1 PCa cells.