Cancer Stem Cells, the Tipping Point: Minority Rules? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-09

AUTHORS

Farinaz Forouzannia, Sivabal Sivaloganathan

ABSTRACT

Putative studies continue to support the assertion of the cancer stem cell (CSC) hypothesis, namely that a very small subgroup of a malignant tumor population initiates and drives tumor growth. These cells are purported to possess similar biological properties to their normal adult stem cell counterparts. The CSC hypothesis arises from the observation that tumors like normal tissues have their origin in cells that display potential for self-renewal as well as the ability to generate differentiated cells of various lineages. In addition, CSCs have developed basic characteristics that enable them to evade the effects of standard therapies and these may in fact underlie the mechanisms leading to chemo-resistance and tumor relapse. In recent years, mathematical and computational modeling have emerged as powerful tools in biomedical research that can be used to study biological systems at multiple scales ranging from molecular processes to cell-cell interactions and how these interactions lead to changes at tissue and organ levels. In addition to accelerating biomedical research through computational simulation of physical experiments, modeling can also be used to guide experimentalists by identifying possible factors and mechanisms underlying the particular problem being studied; this in turn may suggest physical experiments that eventually lead to the resolution of this very problem. In this paper, we review mathematical models that explore the role of CSCs in treatment response, in developing chemo and radio resistance, as well as those that suggest new treatment strategies. In addition, mathematical models that focus on optimal therapeutic protocols will also be discussed. More... »

PAGES

240-247

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40778-017-0095-3

DOI

http://dx.doi.org/10.1007/s40778-017-0095-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090687111


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Waterloo", 
          "id": "https://www.grid.ac/institutes/grid.46078.3d", 
          "name": [
            "Department of Applied Mathematics, University of Waterloo, N2L 3G1, Waterloo, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forouzannia", 
        "givenName": "Farinaz", 
        "id": "sg:person.01021056264.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021056264.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fields Institute for Research in Mathematical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.249304.8", 
          "name": [
            "Department of Applied Mathematics, University of Waterloo, N2L 3G1, Waterloo, ON, Canada", 
            "Center for Mathematical Medicine, Fields Institute, M5T 3J1, Toronto, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sivaloganathan", 
        "givenName": "Sivabal", 
        "id": "sg:person.01226330254.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226330254.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1158/0008-5472.can-12-3429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002737411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-10-2538", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003321002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0096093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003624733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.105.049791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004941016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.105.049791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004941016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1000557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005542160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2013.12.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008457613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02459682", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008546755", 
          "https://doi.org/10.1007/bf02459682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02459682", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008546755", 
          "https://doi.org/10.1007/bf02459682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc4029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008937205", 
          "https://doi.org/10.1038/nrc4029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2016/3923527", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014179947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.26075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014189750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014472557", 
          "https://doi.org/10.1038/nature03031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014472557", 
          "https://doi.org/10.1038/nature03031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2004.07.190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017516666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2407-9-202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018034361", 
          "https://doi.org/10.1186/1471-2407-9-202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2007.15.1829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019286803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2008.17.7436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019660283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2006.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023532407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2016/1740936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025612245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc2808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026196319", 
          "https://doi.org/10.1038/nrc2808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc2808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026196319", 
          "https://doi.org/10.1038/nrc2808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4ib00191e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026498802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/stem.318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028851651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/stem.318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028851651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0000990", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030080669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032868309", 
          "https://doi.org/10.1038/nature03669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032868309", 
          "https://doi.org/10.1038/nature03669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032950201", 
          "https://doi.org/10.1038/nature05349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032950201", 
          "https://doi.org/10.1038/nature05349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032950201", 
          "https://doi.org/10.1038/nature05349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci8829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036426384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-46441-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040924144", 
          "https://doi.org/10.1007/978-3-642-46441-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-46441-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040924144", 
          "https://doi.org/10.1007/978-3-642-46441-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041233330", 
          "https://doi.org/10.1038/nature05236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041233330", 
          "https://doi.org/10.1038/nature05236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041233330", 
          "https://doi.org/10.1038/nature05236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fonc.2013.00052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041264111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-007-4590-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041338237", 
          "https://doi.org/10.1007/978-94-007-4590-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-007-4590-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041338237", 
          "https://doi.org/10.1007/978-94-007-4590-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms7139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041498820", 
          "https://doi.org/10.1038/ncomms7139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00285-015-0908-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042334564", 
          "https://doi.org/10.1007/s00285-015-0908-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2012.02.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043064967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2004.03.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043284548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1373/clinchem.2012.184655", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043940886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09553006414550581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044800304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09553008514550461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045118656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02460591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045539485", 
          "https://doi.org/10.1007/bf02460591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02460591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045539485", 
          "https://doi.org/10.1007/bf02460591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13062-016-0142-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047023810", 
          "https://doi.org/10.1186/s13062-016-0142-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13062-016-0142-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047023810", 
          "https://doi.org/10.1186/s13062-016-0142-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1634/stemcells.2006-0136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049099393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2009.08.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049506378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2184.2009.00619.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050452279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2184.2009.00619.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050452279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1590", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050924893", 
          "https://doi.org/10.1038/nrc1590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1590", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050924893", 
          "https://doi.org/10.1038/nrc1590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/095530098142590", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051211976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc2329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051767321", 
          "https://doi.org/10.1038/nrc2329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2011.07.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053327451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/s0092-8240(86)90028-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054614804", 
          "https://doi.org/10.1016/s0092-8240(86)90028-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/mmnp/20094305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057046032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/45/2/303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059023920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/52/11/023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059026599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/imammb/9.3.215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059688184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.959840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062662765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2003.09.081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064203847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/0007-1285-34-400-246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064546139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/0007-1285-58-690-515", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064555419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/bjr/30604050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064568955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3577839", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070380437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3578510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070381024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078701549", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079793520", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081425990", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081838749", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081866661", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2017/2925869", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084229182"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-09", 
    "datePublishedReg": "2017-09-01", 
    "description": "Putative studies continue to support the assertion of the cancer stem cell (CSC) hypothesis, namely that a very small subgroup of a malignant tumor population initiates and drives tumor growth. These cells are purported to possess similar biological properties to their normal adult stem cell counterparts. The CSC hypothesis arises from the observation that tumors like normal tissues have their origin in cells that display potential for self-renewal as well as the ability to generate differentiated cells of various lineages. In addition, CSCs have developed basic characteristics that enable them to evade the effects of standard therapies and these may in fact underlie the mechanisms leading to chemo-resistance and tumor relapse. In recent years, mathematical and computational modeling have emerged as powerful tools in biomedical research that can be used to study biological systems at multiple scales ranging from molecular processes to cell-cell interactions and how these interactions lead to changes at tissue and organ levels. In addition to accelerating biomedical research through computational simulation of physical experiments, modeling can also be used to guide experimentalists by identifying possible factors and mechanisms underlying the particular problem being studied; this in turn may suggest physical experiments that eventually lead to the resolution of this very problem. In this paper, we review mathematical models that explore the role of CSCs in treatment response, in developing chemo and radio resistance, as well as those that suggest new treatment strategies. In addition, mathematical models that focus on optimal therapeutic protocols will also be discussed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40778-017-0095-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1051321", 
        "issn": [
          "2198-7866"
        ], 
        "name": "Current Stem Cell Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "Cancer Stem Cells, the Tipping Point: Minority Rules?", 
    "pagination": "240-247", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "58767f44babd1b6b5139443c9fabe89af8150c0fb704721479650c922f7c79c8"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40778-017-0095-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1090687111"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40778-017-0095-3", 
      "https://app.dimensions.ai/details/publication/pub.1090687111"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89801_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs40778-017-0095-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40778-017-0095-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40778-017-0095-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40778-017-0095-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40778-017-0095-3'


 

This table displays all metadata directly associated to this object as RDF triples.

269 TRIPLES      21 PREDICATES      89 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40778-017-0095-3 schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author N45c5ca69e301447885a6415a84e2ad76
4 schema:citation sg:pub.10.1007/978-3-642-46441-6
5 sg:pub.10.1007/978-94-007-4590-2
6 sg:pub.10.1007/bf02459682
7 sg:pub.10.1007/bf02460591
8 sg:pub.10.1007/s00285-015-0908-x
9 sg:pub.10.1016/s0092-8240(86)90028-5
10 sg:pub.10.1038/nature03031
11 sg:pub.10.1038/nature03669
12 sg:pub.10.1038/nature05236
13 sg:pub.10.1038/nature05349
14 sg:pub.10.1038/ncomms7139
15 sg:pub.10.1038/nrc1590
16 sg:pub.10.1038/nrc2329
17 sg:pub.10.1038/nrc2808
18 sg:pub.10.1038/nrc4029
19 sg:pub.10.1186/1471-2407-9-202
20 sg:pub.10.1186/s13062-016-0142-5
21 https://app.dimensions.ai/details/publication/pub.1078701549
22 https://app.dimensions.ai/details/publication/pub.1079793520
23 https://app.dimensions.ai/details/publication/pub.1081425990
24 https://app.dimensions.ai/details/publication/pub.1081838749
25 https://app.dimensions.ai/details/publication/pub.1081866661
26 https://doi.org/10.1002/stem.318
27 https://doi.org/10.1016/j.cell.2009.08.017
28 https://doi.org/10.1016/j.cell.2011.07.026
29 https://doi.org/10.1016/j.cell.2013.12.029
30 https://doi.org/10.1016/j.jtbi.2004.03.024
31 https://doi.org/10.1016/j.jtbi.2006.02.001
32 https://doi.org/10.1016/j.jtbi.2012.02.030
33 https://doi.org/10.1039/c4ib00191e
34 https://doi.org/10.1051/mmnp/20094305
35 https://doi.org/10.1080/09553006414550581
36 https://doi.org/10.1080/09553008514550461
37 https://doi.org/10.1080/095530098142590
38 https://doi.org/10.1088/0031-9155/45/2/303
39 https://doi.org/10.1088/0031-9155/52/11/023
40 https://doi.org/10.1093/imammb/9.3.215
41 https://doi.org/10.1111/j.1365-2184.2009.00619.x
42 https://doi.org/10.1126/science.959840
43 https://doi.org/10.1155/2016/1740936
44 https://doi.org/10.1155/2016/3923527
45 https://doi.org/10.1155/2017/2925869
46 https://doi.org/10.1158/0008-5472.can-12-3429
47 https://doi.org/10.1158/1078-0432.ccr-10-2538
48 https://doi.org/10.1172/jci8829
49 https://doi.org/10.1200/jco.2003.09.081
50 https://doi.org/10.1200/jco.2004.07.190
51 https://doi.org/10.1200/jco.2007.15.1829
52 https://doi.org/10.1200/jco.2008.17.7436
53 https://doi.org/10.1259/0007-1285-34-400-246
54 https://doi.org/10.1259/0007-1285-58-690-515
55 https://doi.org/10.1259/bjr/30604050
56 https://doi.org/10.1371/journal.pcbi.1000557
57 https://doi.org/10.1371/journal.pone.0000990
58 https://doi.org/10.1371/journal.pone.0096093
59 https://doi.org/10.1373/clinchem.2012.184655
60 https://doi.org/10.1534/genetics.105.049791
61 https://doi.org/10.1634/stemcells.2006-0136
62 https://doi.org/10.2307/3577839
63 https://doi.org/10.2307/3578510
64 https://doi.org/10.3389/fonc.2013.00052
65 https://doi.org/10.4161/cc.26075
66 schema:datePublished 2017-09
67 schema:datePublishedReg 2017-09-01
68 schema:description Putative studies continue to support the assertion of the cancer stem cell (CSC) hypothesis, namely that a very small subgroup of a malignant tumor population initiates and drives tumor growth. These cells are purported to possess similar biological properties to their normal adult stem cell counterparts. The CSC hypothesis arises from the observation that tumors like normal tissues have their origin in cells that display potential for self-renewal as well as the ability to generate differentiated cells of various lineages. In addition, CSCs have developed basic characteristics that enable them to evade the effects of standard therapies and these may in fact underlie the mechanisms leading to chemo-resistance and tumor relapse. In recent years, mathematical and computational modeling have emerged as powerful tools in biomedical research that can be used to study biological systems at multiple scales ranging from molecular processes to cell-cell interactions and how these interactions lead to changes at tissue and organ levels. In addition to accelerating biomedical research through computational simulation of physical experiments, modeling can also be used to guide experimentalists by identifying possible factors and mechanisms underlying the particular problem being studied; this in turn may suggest physical experiments that eventually lead to the resolution of this very problem. In this paper, we review mathematical models that explore the role of CSCs in treatment response, in developing chemo and radio resistance, as well as those that suggest new treatment strategies. In addition, mathematical models that focus on optimal therapeutic protocols will also be discussed.
69 schema:genre research_article
70 schema:inLanguage en
71 schema:isAccessibleForFree false
72 schema:isPartOf N769845eedad8404ca873357584cd87c6
73 N9399f814aaa14f748442ee602341d550
74 sg:journal.1051321
75 schema:name Cancer Stem Cells, the Tipping Point: Minority Rules?
76 schema:pagination 240-247
77 schema:productId N28292517ce36448da4aafd0c6265ac76
78 N3853b6da773f4a46885950fddd09051c
79 Nf443dd0c04184ab8b91a3a2c2c9150d5
80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090687111
81 https://doi.org/10.1007/s40778-017-0095-3
82 schema:sdDatePublished 2019-04-11T09:55
83 schema:sdLicense https://scigraph.springernature.com/explorer/license/
84 schema:sdPublisher N8266c74016ef43bb8f14bb65d5e6f3b0
85 schema:url https://link.springer.com/10.1007%2Fs40778-017-0095-3
86 sgo:license sg:explorer/license/
87 sgo:sdDataset articles
88 rdf:type schema:ScholarlyArticle
89 N28292517ce36448da4aafd0c6265ac76 schema:name dimensions_id
90 schema:value pub.1090687111
91 rdf:type schema:PropertyValue
92 N3853b6da773f4a46885950fddd09051c schema:name readcube_id
93 schema:value 58767f44babd1b6b5139443c9fabe89af8150c0fb704721479650c922f7c79c8
94 rdf:type schema:PropertyValue
95 N45c5ca69e301447885a6415a84e2ad76 rdf:first sg:person.01021056264.69
96 rdf:rest N4a616597ad2a4fcab94a8b6b282f43c2
97 N4a616597ad2a4fcab94a8b6b282f43c2 rdf:first sg:person.01226330254.19
98 rdf:rest rdf:nil
99 N769845eedad8404ca873357584cd87c6 schema:issueNumber 3
100 rdf:type schema:PublicationIssue
101 N8266c74016ef43bb8f14bb65d5e6f3b0 schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N9399f814aaa14f748442ee602341d550 schema:volumeNumber 3
104 rdf:type schema:PublicationVolume
105 Nf443dd0c04184ab8b91a3a2c2c9150d5 schema:name doi
106 schema:value 10.1007/s40778-017-0095-3
107 rdf:type schema:PropertyValue
108 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
109 schema:name Mathematical Sciences
110 rdf:type schema:DefinedTerm
111 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
112 schema:name Applied Mathematics
113 rdf:type schema:DefinedTerm
114 sg:journal.1051321 schema:issn 2198-7866
115 schema:name Current Stem Cell Reports
116 rdf:type schema:Periodical
117 sg:person.01021056264.69 schema:affiliation https://www.grid.ac/institutes/grid.46078.3d
118 schema:familyName Forouzannia
119 schema:givenName Farinaz
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021056264.69
121 rdf:type schema:Person
122 sg:person.01226330254.19 schema:affiliation https://www.grid.ac/institutes/grid.249304.8
123 schema:familyName Sivaloganathan
124 schema:givenName Sivabal
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226330254.19
126 rdf:type schema:Person
127 sg:pub.10.1007/978-3-642-46441-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040924144
128 https://doi.org/10.1007/978-3-642-46441-6
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/978-94-007-4590-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041338237
131 https://doi.org/10.1007/978-94-007-4590-2
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/bf02459682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008546755
134 https://doi.org/10.1007/bf02459682
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/bf02460591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045539485
137 https://doi.org/10.1007/bf02460591
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s00285-015-0908-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042334564
140 https://doi.org/10.1007/s00285-015-0908-x
141 rdf:type schema:CreativeWork
142 sg:pub.10.1016/s0092-8240(86)90028-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054614804
143 https://doi.org/10.1016/s0092-8240(86)90028-5
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nature03031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014472557
146 https://doi.org/10.1038/nature03031
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/nature03669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032868309
149 https://doi.org/10.1038/nature03669
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/nature05236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041233330
152 https://doi.org/10.1038/nature05236
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/nature05349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032950201
155 https://doi.org/10.1038/nature05349
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/ncomms7139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041498820
158 https://doi.org/10.1038/ncomms7139
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/nrc1590 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050924893
161 https://doi.org/10.1038/nrc1590
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/nrc2329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051767321
164 https://doi.org/10.1038/nrc2329
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/nrc2808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026196319
167 https://doi.org/10.1038/nrc2808
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/nrc4029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008937205
170 https://doi.org/10.1038/nrc4029
171 rdf:type schema:CreativeWork
172 sg:pub.10.1186/1471-2407-9-202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018034361
173 https://doi.org/10.1186/1471-2407-9-202
174 rdf:type schema:CreativeWork
175 sg:pub.10.1186/s13062-016-0142-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047023810
176 https://doi.org/10.1186/s13062-016-0142-5
177 rdf:type schema:CreativeWork
178 https://app.dimensions.ai/details/publication/pub.1078701549 schema:CreativeWork
179 https://app.dimensions.ai/details/publication/pub.1079793520 schema:CreativeWork
180 https://app.dimensions.ai/details/publication/pub.1081425990 schema:CreativeWork
181 https://app.dimensions.ai/details/publication/pub.1081838749 schema:CreativeWork
182 https://app.dimensions.ai/details/publication/pub.1081866661 schema:CreativeWork
183 https://doi.org/10.1002/stem.318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028851651
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.cell.2009.08.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049506378
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.cell.2011.07.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053327451
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.cell.2013.12.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008457613
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.jtbi.2004.03.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043284548
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.jtbi.2006.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023532407
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.jtbi.2012.02.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043064967
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1039/c4ib00191e schema:sameAs https://app.dimensions.ai/details/publication/pub.1026498802
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1051/mmnp/20094305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057046032
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1080/09553006414550581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044800304
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1080/09553008514550461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045118656
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1080/095530098142590 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051211976
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1088/0031-9155/45/2/303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059023920
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1088/0031-9155/52/11/023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059026599
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1093/imammb/9.3.215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059688184
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1111/j.1365-2184.2009.00619.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050452279
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1126/science.959840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062662765
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1155/2016/1740936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025612245
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1155/2016/3923527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014179947
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1155/2017/2925869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084229182
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1158/0008-5472.can-12-3429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002737411
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1158/1078-0432.ccr-10-2538 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003321002
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1172/jci8829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036426384
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1200/jco.2003.09.081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064203847
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1200/jco.2004.07.190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017516666
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1200/jco.2007.15.1829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019286803
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1200/jco.2008.17.7436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019660283
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1259/0007-1285-34-400-246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064546139
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1259/0007-1285-58-690-515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064555419
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1259/bjr/30604050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064568955
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1371/journal.pcbi.1000557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005542160
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1371/journal.pone.0000990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030080669
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1371/journal.pone.0096093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003624733
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1373/clinchem.2012.184655 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043940886
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1534/genetics.105.049791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004941016
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1634/stemcells.2006-0136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049099393
254 rdf:type schema:CreativeWork
255 https://doi.org/10.2307/3577839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070380437
256 rdf:type schema:CreativeWork
257 https://doi.org/10.2307/3578510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070381024
258 rdf:type schema:CreativeWork
259 https://doi.org/10.3389/fonc.2013.00052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041264111
260 rdf:type schema:CreativeWork
261 https://doi.org/10.4161/cc.26075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014189750
262 rdf:type schema:CreativeWork
263 https://www.grid.ac/institutes/grid.249304.8 schema:alternateName Fields Institute for Research in Mathematical Sciences
264 schema:name Center for Mathematical Medicine, Fields Institute, M5T 3J1, Toronto, ON, Canada
265 Department of Applied Mathematics, University of Waterloo, N2L 3G1, Waterloo, ON, Canada
266 rdf:type schema:Organization
267 https://www.grid.ac/institutes/grid.46078.3d schema:alternateName University of Waterloo
268 schema:name Department of Applied Mathematics, University of Waterloo, N2L 3G1, Waterloo, ON, Canada
269 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...