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Advances in Experimental Medicine and Biology 936 Katarzyna A. Rejniak Editor Systems Biology of Tumor Microenvironment Quantitative Modeling and Simulations Advances in Experimental Medicine and Biology Volume 936 EditorialBoard IRUNR.COHEN,TheWeizmannInstituteofScience,Rehovot,Israel N.S.ABELLAJTHA,KlineInstituteforPsychiatricResearch,Orangeburg, NY,USA JOHND.LAMBRIS,UniversityofPennsylvania,Philadelphia,PA,USA RODOLFOPAOLETTI,UniversityofMilan,Milan,Italy Advances inExperimentalMedicineandBiologypresentsmultidisciplinary and dynamic findings in the broad fields of experimental medicine and biology. The wide variety in topics it presents offers readers multiple perspectivesonavarietyofdisciplinesincludingneuroscience,microbiology, immunology, biochemistry, biomedical engineering and cancer research. Advances in Experimental Medicine and Biology has been publishing ex- ceptional works in the field for over 30 years and is indexed in Medline, Scopus,EMBASE,BIOSIS,BiologicalAbstracts,CSA,BiologicalSciences and Living Resources (ASFA-1), and Biological Sciences. The series also provides scientists with up to date information on emerging topics and techniques. Moreinformationaboutthisseriesathttp://www.springer.com/series/5584 Katarzyna A. Rejniak Editor Systems Biology of Tumor Microenvironment Quantitative Modeling and Simulations 123 Editor KatarzynaA.Rejniak IntegratedMathematicalOncologyDepartment H.LeeMoffittCancerCenterandResearchInstitute Tampa,FL,USA ISSN0065-2598 ISSN2214-8019 (electronic) AdvancesinExperimentalMedicineandBiology ISBN978-3-319-42021-9 ISBN978-3-319-42023-3 (eBook) DOI10.1007/978-3-319-42023-3 LibraryofCongressControlNumber:2016955061 ©SpringerInternationalPublishingSwitzerland2016 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewhole orpartofthematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseof illustrations,recitation,broadcasting,reproductiononmicrofilmsorinanyotherphysicalway, andtransmissionorinformationstorageandretrieval,electronicadaptation,computersoftware, orbysimilarordissimilarmethodologynowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthis publication does not imply, even in the absence of a specific statement, that such names are exemptfromtherelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationin thisbookarebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublisher northeauthorsortheeditorsgiveawarranty,expressorimplied,withrespecttothematerial containedhereinorforanyerrorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerInternationalPublishingAGSwitzerland Foreword Despite recent advances in the development of new targeted anticancer therapies, further efforts are necessary to account for the elusive behavior ofcancercellsinvolvingtumorheterogeneityanditsassociatedstromaofthe tumormicroenvironment,whichareprovidingcontinuouschallengesforthe designofneweffectiveanti-tumortherapies. Anewapproachtounderstandingcancerbiologyanddesigningmoreef- fectivetherapiesismathematicalmodeling.Mathematicalmodelsarehighly adaptable tools to deconvolute the complex, multidimensional datasets and makethemamenabletoanalysisfromdifferentangles.Theresultsfromsuch studiesmaybeinstrumentalinmakingthisstepforward. Thereisamultitudeoftumorandmicroenvironment-associatedsignaling molecules, which include numerous cytokines, growth factors, hormones, proteolytic enzymes such as metalloproteinases and metabolic components produced both by the tumor cells and the tumor-associated stroma [10, 18]. Thesecomponentsinteractwiththetumorcellsandthestromalcells,thereby affecting tumor cell migration and invasion into nearby tissue or leading to the metastatic tumor spread into blood as circulating tumor cells, and into distantorgans. The process of invasion and migration through the extracellular matrix (ECM)isaidedbynumerousECMstructuralcomponentsthatincludevarious fibrouselementssuchascollagens,fibronectin,lamininandmanyothers.In addition,theabundanceofspace-fillingcomponentsincludingglycosamino- glycans (GAGs) and attached proteoglycans (PGs) [19, 20] provide a rich microenvironment for the tumor cells to migrate through the extracellular matrix. In fact, it was shown that these structural ECM components and their increased rigidity actually promote migration of tumor cells such as glioma[12]. In addition to the ECM signaling molecules and the structural ECM elements, the tumor microenvironment also contains stromal cells such as fibroblasts and endothelial cells as well as pericytes of the angiogenic tumor vasculature. Also, cells of immune system such as mononuclear cells; monocytes and their derivative macrophages; granulocytes including neutrophils, eosinophils, basophils and mast cells, and also B and T lym- phocytes are found in the tumor microenvironment. These cells can interact to the certain degree with tumor antigens and secrete various signaling molecules.Itisnowknownthatpresenceofthesecellsinthetumorvicinity v vi Foreword would indicate an “inflamed” status of the tumor expressing Programmed DeathLigand-1(PD-L1)andresultinginabetterpatientprognosiscompared to“non-inflamed”tumors”[5]. The issue of quiescent tumor cell populations, often termed cancer stem cells, provides yet another challenge for designing new and effective ther- apeutic approaches. These quiescent cell populations frequently require a specific microenvironment, a perivascular and hypoxic niche to keep their “stemness” with few antigenic markers. As a consequence, these cells are difficult to target by any therapeutic approaches. Furthermore, variations in stemcells’behaviorduetoheterogeneityofthetumormicroenvironmentmay contributetothegeneticheterogeneityofthetumor[6]. Based on the complexity of the tumor microenvironment, therapeutic agents targeting tumors must overcome a variety of hurdles like capture by multiple ECM components, leaky blood vessels within tumors, the tumor intestinalfluidpressurecausedbyaccumulationofinflammatorycomponents andahypoxicenvironment.Theroleofhypoxiainthetumormicroenviron- ment and its contribution to immune resistance and immune suppression is already well documented [9]. In addition, any targeting therapeutics would have to reach the target at a sufficient therapeutic concentration to have a therapeuticeffect. Oneoftheexamplesthatcanbeusedtoportraythetumormicroenviron- ment complexity and its significance for a therapeutics delivery- is glioma, with glioblastoma (GBM) being the most advanced subtype. It is a primary brain tumor with highly invasive characteristics and short (6 months to 2years)patientsurvivaltime(reviewedby[19]).ThemainECMcomponents of glioma, which invades brain parenchyma just within centimeters from a lesion [2] are the GAG hyaluronan (HA) and PGs such as chondroitin sulfate proteoglycans CSPGs) and heparan sulfate proteoglycans (HSPGs). All of these molecules play important roles in cell signaling and migration [16].Inaddition,HAwasrecognizedasmainECMcomponentthatformsa microenvironmentinwhichstemcellscanundergoself-renewal[4]. The HA receptor CD44 adhesion molecule, is highly expressed on the leadingedgeofgliomaattheinterfacewiththenormalbraintissuesignifying the importance of these ECM molecules in glioma invasion [13, 15, 17, 18, 20, 21]. It was found recently that HA and its CD44 receptor may play an important role in the “stemness” and survival of cancer stem cells [4]. In addition, CSPG proteoglycan known as neuroglial protein-2 (NG2) wasrecognizedasacellbiomarkerforoligodendrocyteprogenitorcellsand foundingliomas[11,14],thereforeemphasizingtheimportanceofthisECM molecule. TheHSPGscomponentsofthegliomamicroenvironmentarealsopartof bloodvesselsandserveasalocationforgrowthfactorandcytokinestorage, therefore contributing to the creation of a niche in which glioma stem cells can receive signals from its microenvironment [3]. The blood vessels and myelinatednervefiberswhichserveastheinfiltrativepathfordisseminating glioma cells have higher rigidity and together with the increased rigidity of ECMcontributetogliomamigration[8,12]. Foreword vii Recent therapeutic approaches to glioma and other tumors already take into account the importance of cancer stem cells and their niches [7]. In addition, detection of circulating tumor cells in blood of cancer patients, includinggliomapatientsareviewedas“Liquidbiopsies”thathavethehigh clinicalimportanceintumordiagnosisandfollowup[1]. Overall, the complexity of the tumor and tumor microenvironment and their multiple interactive processes could only be better understood and targetedwhennewanalyticalmethodssuchasmathematicalmodelingcould be applied to understand this highly complex system. This could aid in the development ofnewtherapeuticstrategiesthatcanaccountforandpossibly unravelsomeofthecomplexandelusivebehaviorofcancer. Tampa,FL,USA MarzennaWiranowska April2016 References 1. AdamczykLA,WilliamsH,FrankowA,EllisHP,HaynesHR,PerksC,HollyJM, KurianKM(2015)Currentunderstandingofcirculatingtumorcells–potentialvalue inmalignanciesofthecentralnervoussystem.FrontNeurol6:174 2. Bolteus AJ, Berens ME, Pilkington GJ (2001) Migration and invasion in brain neoplasms.CurrNeurolNeurosciRep1(3):225–232 3. BrightmanMW,KayaM(2000)Permeableendotheliumandtheinterstitialspaceof brain.CellMolNeurobiol20(2):111–130 4. Chanmee T, Ontong P, Kimata K, Itano N (2015) Key roles of Hyaluronan and its CD44receptorinthestemnessandsurvivalofcancerstemcells.FrontOncol5:180 5. ChenL,HanX(2015)Anti-PD-1/PD-L1therapyofhumancancer:past,present,and future.JClinInvest125(9):3384–3391 6. Fuchs E (2016) Epithelial skin biology: three decades of developmental biology, a hundredquestionsansweredandathousandnewonestoaddress.CurrTopDevBiol 116:357–374 7. Lathia JD, Mack SC, Mulkearns-Hubert EE, Valentim CL, Rich JN (2015) Cancer stemcellsinglioblastoma.GenesDev29(12):1203–1217 8. Lefranc F, Brotchi J, Kiss R (2005) Possible future issues in the treatment of glioblastomas: special emphasis on cell migration and the resistance of migrating glioblastomacellstoapoptosis.JClinOncol23(10):2411–2422 9. Noman MZ, Hasmim M, Messai Y, Terry S, Kieda C, Janji B, Chouaib S (2015) Hypoxia:akeyplayerinantitumorimmuneresponse.Areviewinthetheme:cellular responsestoHypoxia.AmJPhysiolCellPhysiol309(9):C569–579 10. RojianiMV,WiranowskaM,RojianiAM(2011)Matrixmetalloproteinasesandtheir inhibitors-friendorfoeintumormicroenvironmentIn:SiemannDW(ed).Wiley 11. StallcupWB,HuangFJ(2008)ArolefortheNG2proteoglycaningliomaprogression. CellAdhMigr2(3):192–201 12. Ulrich TA, de Juan Pardo EM, Kumar S (2009) The mechanical rigidity of the extracellularmatrixregulatesthestructure,motility,andproliferationofgliomacells. CancerRes69(10):4167–4174 13. WiranowskaM,LaddS,MoscinskiLC,HillB,HallerE,MikeczK,PlaasA(2010) Modulation of hyaluronan production by CD44 positive glioma cells. Int J Cancer 127:532–542 14. WiranowskaM,LaddS,SmithSR,GottschallPE(2006)CD44adhesionmoleculeand neuro-glialproteoglycanNG2asinvasivemarkersofglioma.BrainCellBiol35(2– 3):159–172 15. WiranowskaM,NaiduAK(1994)Interferoneffectonglycosaminoglycansinmouse gliomainvitro.JNeurooncol18(1):9–17 viii Foreword 16. Wiranowska M, Plaas A (2008) Cytokines and extracellular matrix remodeling in thecentralnervoussystem.In:BercziI,SzentivanyiA(eds)Neuroimmunebiology: cytokinesandthebrain.ElsevierB.V.Science 17. Wiranowska M, Rojiani AM, Gottschall PE, Moscinski LC, Johnson J, Saporta S (2000) CD44 expression and MMP-2 secretion by mouse glioma cells: effect of interferonandanti-CD44antibody.AnticancerRes20(6B):4301–4306 18. Wiranowska M, Rojiani AM, Rojiani MV (2015) Matrix metalloproteinases- modulatingthetumormicroenvironment.JCarcinogMutagen6:3 19. WiranowskaM,RojianiMV(2011)Extracellularmatrixmicroenvironmentinglioma progression. In: Ghosh A (ed) Glioma/book 1-exploring its biology and practical relevance.InTechOpenAccessPublisher 20. WiranowskaM,RojianiMV(2013)Gliomaextracellularmatrixmoleculesasthera- peutictargetsIn:WiranowskaM,VrionisFD(eds)Gliomas:symptoms,diagnosisand treatmentoptions.NovaSciencePublishers,Inc.,NewYork 21. WiranowskaM,TresserN,SaportaS(1998)Theeffectofinterferonandanti-CD44 antibodyonmousegliomainvasivenessinvitro.AnticancerRes18(5A):3331–3338 Preface Thecomplexityandheterogeneityoftumormicroenvironment,aswellasits dynamic interactions with tumor cells are a very attractive topic for math- ematical modeling. Several quite diverse modeling approaches have been developed over the last couple of years to address the role of the microen- vironment intumor initiation,progression and itsresponse totreatments. In order to provide the readers both biologically- and mathematically-oriented withtherecentachievementsinthisarea,Iinvitedseveralresearcherstoshare their mathematical and computational models of tumor microenvironment andtheirperspectivesonthefutureofthisfield. Both normal and tumor cells are embedded into a complex and dynam- ically changing environment. That environment can regulate the behavior of individual cells and modulate homeostatic balance of the whole tissue. The complexity of tumor microenvironment arises from multiple players that interact with one another. Various types of cells reside in or migrate through the tumor stroma, including endothelial cells and pericytes forming the capillaries; immune cells, such as T cells, B cells, or macrophages; as wellasadipocytes,fibroblastandotherstromalcells.Theextracellularmatrix proteins (collagen, elastin, fibronectin, laminin) form fibril meshes defining theirorientation,stiffnessandoverallphysicalcharacteristics.Theinterstitial fluidthatpenetratesspacebetweenthecellsandthefibersallowsfordiffusion of numerous chemical factors (nutrients, oxygen, glucose, growth factors, chemokines, matrix metalloproteinases) and enable their transport to all stromalcomponents. Atallstagesoftumordevelopmentfrominitiationtogrowthandinvasion, to metastasis, the tumor cells are subjected to cues and interactions from the surrounding microenvironment, and also modulate the environment in their vicinity. Additionally, when a given treatment (i.e., surgery, chemo-, radio-,immune-hormoneorcombinationtherapy)isapplied,thetumorand its microenvironment may undergo significant alterations. As a result, the microenvironmental selection forces and tumor physico-chemical landscape mayshift. Duetothecomplexity,heterogeneity,anddynamicchangesthattakeplace inthetumormicroenvironment,itisdifficulttoinvestigateexperimentally,in a precise and quantitative way, all potential interactions between the tumor and its surrounding stroma. Thus, laboratory experiments are designed to address these issues at different scales of complexity. For example, genetic modifications, protein interactions, signaling pathways, cellular phenotypic ix

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