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Cancer Metabolomics 2018 PDF

186 Pages·2019·12.891 MB·English
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Cancer Metabolomics 2018 Edited by Paula Guedes De Pinho, Márcia Carvalho and Joana Pinto Printed Edition of the Special Issue Published in Metabolites www.mdpi.com/journal/metabolites Cancer Metabolomics 2018 Cancer Metabolomics 2018 SpecialIssueEditors PaulaGuedesDePinho Ma´rciaCarvalho JoanaPinto MDPI•Basel•Beijing•Wuhan•Barcelona•Belgrade Special Issue Editors Paula Guedes De Pinho Ma´rcia Carvalho University of Porto University Fernando Pessoa Portugal Portugal Joana Pinto University of Porto Portugal Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Metabolites (ISSN 2218-1989) from 2018 to 2019 (available at: https://www.mdpi.com/journal/ metabolites/specialissues/cancermetabolomics2018) Forcitationpurposes,citeeacharticleindependentlyasindicatedonthearticlepageonlineandas indicatedbelow: LastName,A.A.; LastName,B.B.; LastName,C.C.ArticleTitle. JournalNameYear,ArticleNumber, PageRange. ISBN978-3-03921-345-0(Pbk) ISBN978-3-03921-346-7(PDF) CoverimagecourtesyofFilipaAmaro. (cid:2)c 2019bytheauthors. ArticlesinthisbookareOpenAccessanddistributedundertheCreative Commons Attribution (CC BY) license, which allows users to download, copy and build upon publishedarticles,aslongastheauthorandpublisherareproperlycredited,whichensuresmaximum disseminationandawiderimpactofourpublications. ThebookasawholeisdistributedbyMDPIunderthetermsandconditionsoftheCreativeCommons licenseCCBY-NC-ND. Contents AbouttheSpecialIssueEditors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii Nuria Go´mez-Cebria´n, Ayele´n Rojas-Benedicto, Arturo Albors-Vaquer, Jose´ AntonioLo´pez-Guerrero,AntonioPineda-LucenaandLeonorPuchades-Carrasco MetabolomicsContributionstotheDiscoveryofProstateCancerBiomarkers Reprintedfrom:Metabolites2019,9,48,doi:10.3390/metabo9030048 . . . . . . . . . . . . . . . . . 1 ShangfuLi,DanGaoandYuyangJiang Function,DetectionandAlterationofAcylcarnitineMetabolisminHepatocellularCarcinoma Reprintedfrom:Metabolites2019,9,36,doi:10.3390/metabo9020036 . . . . . . . . . . . . . . . . . 20 ThomasD.Horvath,WaiKinChan,MichaelA.Pontikos,LeonaA.Martin,DiDu,LinTan, MarinaKonopleva,JohnN.WeinsteinandPhilipL.Lorenzi AssessmentofL-AsparaginasePharmacodynamicsinMouseModelsofCancer Reprintedfrom:Metabolites2019,9,10,doi:10.3390/metabo9010010 . . . . . . . . . . . . . . . . . 41 ZhunanJia,AbhijeetPatra,ViknishKrishnanKuttyandThirumalaiVenkatesan CriticalReviewofVolatileOrganicCompoundAnalysisinBreathandInVitroCellCulturefor DetectionofLungCancer Reprintedfrom:Metabolites2019,9,52,doi:10.3390/metabo9030052 . . . . . . . . . . . . . . . . . 54 LichchaviDhananjayaRajasinghe,MelanieHutchingsandSmitiVaidGupta Delta-Tocotrienol Modulates Glutamine Dependence by Inhibiting ASCT2 and LAT1 TransportersinNon-SmallCellLungCancer(NSCLC)Cells:AMetabolomicApproach Reprintedfrom:Metabolites2019,9,50,doi:10.3390/metabo9030050 . . . . . . . . . . . . . . . . . 71 CatarinaSilva,RosaPerestrelo,PedroSilva,HelenaToma´sandJose´S.Caˆmara Breast Cancer Metabolomics: From Analytical Platforms to Multivariate Data Analysis. AReview Reprintedfrom:Metabolites2019,9,102,doi:10.3390/metabo9050102 . . . . . . . . . . . . . . . . 92 MikheilGogiashvili,JessicaNowacki,RolandHergenro¨der,JanG.Hengstler,Jo¨rgLambert andKarolinaEdlund HR-MASNMRBasedQuantitativeMetabolomicsinBreastCancer Reprintedfrom:Metabolites2019,9,19,doi:10.3390/metabo9020019 . . . . . . . . . . . . . . . . . 123 RongYou,JinDai,PingZhang,GregoryA.BardingJr.andDanielRaftery DynamicMetabolicResponsetoAdriamycin-InducedSenescenceinBreastCancerCells Reprintedfrom:Metabolites2018,8,95,doi:10.3390/metabo8040095 . . . . . . . . . . . . . . . . . 150 DanielaRodrigues,JoanaPinto,AnaMargaridaArau´jo,CarmenJero´nimo,RuiHenrique, MariadeLourdesBastos,PaulaGuedesdePinhoandMa´rciaCarvalho GC-MS Metabolomics Reveals Distinct Profiles of Low- and High-Grade Bladder Cancer CulturedCells Reprintedfrom:Metabolites2019,9,18,doi:10.3390/metabo9010018 . . . . . . . . . . . . . . . . . 163 v About the Special Issue Editors Paula Guedes de Pinho is graduated in Pharmaceutical Sciences by the Faculty of Pharmacy of University of Porto (FFUP) and completed a PhD degree in Medical and Biological Sciences at the University of Bordeaux II, France. During her PhD work, she specialized in biochemical mechanismsoflivingorganisms, byusinganalyticalmethodologiessuchasChromatographyand Mass Spectrometry. She is presently Coordinator Researcher at UCIBIO-REQUIMTE/FFUP and Invited Associate Professor (with Habilitation) at the Faculty of Science of University of Porto (DepartmentofBiology). Shepublishedmorethan200papers(h-index33-Scopus)ininternational peerreviewjournals,13bookchapters,and5prizesorawards. SheisresponsibleattheLaboratory of Toxicology of FFUP for GC-MS analysis. She implemented the research line of metabolomics applied to cancer biomarker discovery at the Laboratory of Toxicology of FFUP, getting financed projectsforitsdevelopment. Ma´rciaCarvalhoisgraduatedinPharmaceuticalSciencesbytheFacultyofPharmacy, University of Porto (FFUP), Portugal. She holds a Master in Science degree in Quality Control—Scientific Area in Drug Substances and Medicinal Plants, and a PhD degree in Toxicology from the same University. Ma´rciaCarvalhoispresentlyAssociateProfessorofToxicologyattheFacultyofHealth Sciences,UniversityFernandoPessoa(Porto,Portugal),researcherattheCEBIMED/FP-ENAS(UFP, Portugal) and at the Laboratory of Toxicology of the Associated Laboratory UCIBIO-REQUIMTE (FFUP, Portugal). Her main areas of research are Toxicology and Metabolomics, with a special interestinmechanisticstudiestoelucidatethetoxicityofdrugsofabuseandmetabolomicsstudies fortheidentificationofbiomarkersandmetabolicpathwaysalteredinurologicalcancers. Shehas publishedover70papersininternationalscientificjournals/bookchaptersinthesefields,andholds anh-indexof27. JoanaPintoholdsaBScdegreeinBiochemistry(2008),aMScinBiomolecularMethods(2010)anda PhDinBiochemistry(2015)fromtheUniversityofAveiro, Portugal. HerPhDthesiswasfocused on the investigation of potential biomarkers of several prenatal disorders through NMR-based metabolomicanalysisofmaternalbloodplasma. Sheiscurrentlyaresearcherandco-PIinaproject aimingthedefinitionofavolatilesignaturecharacteristicofrenalcellcarcinomabasedonGC-MS metabolomics and electronic nose analysis, at the Associated Laboratory UCIBIO@REQUIMTE, Faculty of Pharmacy, University of Porto, Portugal. Joana Pinto has published 1 book chapter, 22articlesininternationalpeer-reviewedjournalsand3scientificconferenceproceedings(h-index9). HercurrentresearchinterestsarebiomarkerdiscoveryusingGC-MSandNMRbasedmetabolomics for diagnosis, prognosis and treatment improvement and the development of new non-invasive diagnostictoolsforcancerdetectionbasedontheprofileofurinaryvolatilecompounds. vii H metabolites OH OH Review Metabolomics Contributions to the Discovery of Prostate Cancer Biomarkers NuriaGómez-Cebrián1,2,3,AyelénRojas-Benedicto1,2,ArturoAlbors-Vaquer1,2, JoséAntonioLópez-Guerrero3,AntonioPineda-Lucena1,2andLeonorPuchades-Carrasco2,* 1 DrugDiscoveryUnit,InstitutodeInvestigaciónSanitariaLaFe,Valencia46026,Spain; [email protected](N.G.-C.);[email protected](A.R.-B.);[email protected](A.A.-V.); [email protected](A.P.-L.) 2 JointResearchUnitinClinicalMetabolomics,CentrodeInvestigaciónPríncipeFelipe/Institutode InvestigaciónSanitariaLaFe,Valencia46012,Spain 3 LaboratoryofMolecularBiology,FundaciónInstitutoValencianodeOncología,Valencia46009,Spain; jalopez@fivo.org * Correspondence:[email protected];Tel.:+34-96-124-6713 Received:31January2019;Accepted:4March2019;Published:8March2019 Abstract:Prostatecancer(PCa)isoneofthemostfrequentlydiagnosedcancersandaleadingcause ofdeathamongmenworldwide.Despiteextensiveeffortsinbiomarkerdiscoveryduringthelast years,currentlyusedclinicalbiomarkersarestilllackingenoughspecificityandsensitivityforPCa earlydetection,patientprognosis,andmonitoring.Therefore,moreprecisebiomarkersarerequired toimprovetheclinicalmanagementofPCapatients. Inthiscontext,metabolomicshasshownto beapromisingandpowerfultooltoidentifynovelPCabiomarkersinbiofluids. Thus,changes inpolyamines,tricarboxylicacid(TCA)cycle,aminoacids,andfattyacidsmetabolismhavebeen reportedindifferentstudiesanalyzingPCapatients’biofluids.Thereviewprovidesanup-to-date summaryofthemainmetabolicalterationsthathavebeendescribedinbiofluid-basedstudiesof PCapatients,aswellasadiscussionregardingtheirpotentialtoimproveclinicalPCadiagnosisand prognosis.Furthermore,asummaryofthemostsignificantfindingsreportedinthesestudiesand theconnectionsandinteractionsbetweenthedifferentmetabolicchangesdescribedhasalsobeen included,aimingtobetterdescribethespecificmetabolicsignatureassociatedtoPCa. Keywords:metabolomics;metabolism;prostatecancer;biomarker;earlydiagnosis;prognosis 1.Introduction Prostate cancer (PCa) is the second most frequently diagnosed cancer and represents the fifth leading cause of death in men [1]. In 2018, new cases of PCa were estimated to account for over 1.3 million, and 359.000 PCa-associated deaths were expected worldwide [1]. PCa is a hormone-dependent tumor characterized by an extremely variable clinical course, ranging from anindolentconditiontoarapidprogressionintoanaggressivephenotypethatdisseminatesand metastasizes to the lymph nodes and bones. Moreover, there is a current lack of reliable and reproducibleassaystoidentifytumorsdestinedtoremainindolent.Thus,stratifyingPCapatientsinto differentriskphenotypesattimeofdiagnosisisstillamajorclinicalchallenge. Nowadays, PCascreeningtestsrelyonthedeterminationofprostate-specificantigen(PSA) serum levels and digital rectal examination (DRE). Based on the results of these screening tests, trans-rectal ultrasound (TRUS)-guided prostate biopsy is performed to confirm diagnosis when necessary. However, thesetestssufferfromanumberoflimitationsanddonotprovideenough informationtoenableaprecisediscriminationbetweenindolentandaggressivetumors.WhilePSA provideshighsensitivityandlowspecificityforPCadiagnosis,(TRUS)-guidedprostatebiopsyhasbeen Metabolites2019,9,48;doi:10.3390/metabo9030048 1 www.mdpi.com/journal/metabolites

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