Analysis of tumour-infiltrating lymphocytes reveals two new biologically different subgroups of breast ductal carcinoma in situ View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Marie Beguinot, Marie-Melanie Dauplat, Fabrice Kwiatkowski, Guillaume Lebouedec, Lucie Tixier, Christophe Pomel, Frederique Penault-Llorca, Nina Radosevic-Robin

ABSTRACT

BACKGROUND: Tumour-infiltrating lymphocytes (TILs) have been demonstrated to significantly influence prognosis and response to therapy of invasive breast cancer (IBC). Thus, it has been suggested that TIL density or/and immunophenotype could serve as biomarkers for selection of IBC patients for immunotherapy. However, much less is known about significance of TILs in breast ductal carcinoma in situ (DCIS). METHODS: We retrospectively investigated TIL density and immunophenotype in 96 pure DCIS and 35 microinvasive carcinomas (miCa). TIL density was assessed on H&E-stained breast biopsy sections as the percentage of tumour stromal area occupied by TILs, and classified into 4 grades: 0 (0%-9%), 1 (10-29%), 2 (30-49%) and 3 (50%-100%). TIL immunophenotype was assessed by immunohistochemistry for CD8, CD4, FoxP3, CD38 or CD20. RESULTS: Compared to pure DCIS, miCa contained significantly more cases with TIL density grade 3 (p = 0.028). Concordantly, CD8+, CD4+ and CD38+ cells were more numerous in miCa than in pure DCIS. In the pure DCIS subgroup with TIL density grades 2 and 3, all TIL subpopulations were more numerous than in the pure DCIS with TIL density grades 0 and 1, however the ratio between T-lymphocytes (CD8+ and CD4+) and B-lymphocytes (CD20+) was significantly lower (p = 0.029). On the other side, this ratio was significantly higher in miCa, in comparison with pure DCIS having TIL density grades 2 and 3 (p = 0.017). By cluster analysis of tumour cell pathobiological features we demonstrated similarity between miCa and the pure DCIS with TIL density grades 2 and 3. The only significant difference between those two categories was in the ratio of T- to B-TILs, higher in miCa. CONCLUSION: Results indicate that TIL density level can distinguish 2 biologically different DCIS subgroups, one of which (DCIS with ≥30% TILs, the TIL-rich DCIS) is like miCa. Similarity of TIL-rich pure DCIS and miCa as well as the role of B-lymphocytes in DCIS invasiveness are worth further investigating with regards to the potential development of immunotherapy-based prevention of DCIS progression. More... »

PAGES

129

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12885-018-4013-6

DOI

http://dx.doi.org/10.1186/s12885-018-4013-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100800962

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29394917


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Intraductal, Noninfiltrating", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphocytes, Tumor-Infiltrating", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Surgical Oncology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France", 
            "Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France", 
            "Master Program \u00ab Biology & Health \u00bb, University Paris-East Val-de-Marne (UPEC), 61 avenue du General de Gaulle, 94010, Creteil, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beguinot", 
        "givenName": "Marie", 
        "id": "sg:person.015261671235.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015261671235.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France", 
            "Present Address: Department of Pathology, Paoli-Calmettes Comprehensive Cancer Centre, 232 boulevard Sainte-Marguerite, 13009, Marseilles, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dauplat", 
        "givenName": "Marie-Melanie", 
        "id": "sg:person.01125542761.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125542761.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Clinical Research, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France", 
            "University Clermont Auvergne, INSERM U1240, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kwiatkowski", 
        "givenName": "Fabrice", 
        "id": "sg:person.01114270207.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114270207.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Surgical Oncology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lebouedec", 
        "givenName": "Guillaume", 
        "id": "sg:person.0602426107.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602426107.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France", 
            "University Clermont Auvergne, INSERM U1240, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tixier", 
        "givenName": "Lucie", 
        "id": "sg:person.01202523243.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202523243.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Surgical Oncology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France", 
            "University Clermont Auvergne, INSERM U1240, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pomel", 
        "givenName": "Christophe", 
        "id": "sg:person.01171300562.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171300562.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France", 
            "University Clermont Auvergne, INSERM U1240, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Penault-Llorca", 
        "givenName": "Frederique", 
        "id": "sg:person.0643603315.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643603315.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France", 
            "University Clermont Auvergne, INSERM U1240, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Radosevic-Robin", 
        "givenName": "Nina", 
        "id": "sg:person.0640470520.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640470520.94"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.breast.2016.07.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001675593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1608077113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003267049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.10451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005655896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12282-012-0339-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006641687", 
          "https://doi.org/10.1007/s12282-012-0339-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13277-014-2652-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008074787", 
          "https://doi.org/10.1007/s13277-014-2652-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-013-2556-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009092293", 
          "https://doi.org/10.1007/s10549-013-2556-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdr304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009166329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0360-3016(92)90900-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010289236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mce.2013.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010379154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-7-325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010494995", 
          "https://doi.org/10.1186/1756-0500-7-325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-7-325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010494995", 
          "https://doi.org/10.1186/1756-0500-7-325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-11-3687", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011119175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jclinpath-2015-203506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012043350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/his.12796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012690903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-11-0308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015521731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0017876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016475673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-012-2640-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017167308", 
          "https://doi.org/10.1245/s10434-012-2640-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19980615)82:12<2382::aid-cncr12>3.0.co;2-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019474524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1096-9896(199702)181:2<200::aid-path726>3.0.co;2-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021391256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1096-9896(199702)181:2<200::aid-path726>3.0.co;2-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021391256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jcp.2005.031252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022148682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5858/arpa.2013-0953-sa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023063099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2009.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028079634", 
          "https://doi.org/10.1038/onc.2009.130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2009.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028079634", 
          "https://doi.org/10.1038/onc.2009.130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-15-1315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029329089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0038783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031628045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.21332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032745321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19960815)78:4<778::aid-cncr14>3.0.co;2-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032974768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-016-4036-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033485537", 
          "https://doi.org/10.1007/s10549-016-4036-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-016-4036-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033485537", 
          "https://doi.org/10.1007/s10549-016-4036-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrclinonc.2015.8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035351041", 
          "https://doi.org/10.1038/nrclinonc.2015.8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cyto.2015.02.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041454927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.coi.2014.01.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041557628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1440-1827.2003.01498.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041876484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrclinonc.2015.215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044925771", 
          "https://doi.org/10.1038/nrclinonc.2015.215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.2015.158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045493920", 
          "https://doi.org/10.1038/modpathol.2015.158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdu450", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052737833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053106484", 
          "https://doi.org/10.1038/ni904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053106484", 
          "https://doi.org/10.1038/ni904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/edbook_am.2013.33.46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064202636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4149/neo_2016_006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072262787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074730246", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074949034", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075103132", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14694/edbook_am.2012.32.40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078845820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083227937", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Tumour-infiltrating lymphocytes (TILs) have been demonstrated to significantly influence prognosis and response to therapy of invasive breast cancer (IBC). Thus, it has been suggested that TIL density or/and immunophenotype could serve as biomarkers for selection of IBC patients for immunotherapy. However, much less is known about significance of TILs in breast ductal carcinoma in situ (DCIS).\nMETHODS: We retrospectively investigated TIL density and immunophenotype in 96 pure DCIS and 35 microinvasive carcinomas (miCa). TIL density was assessed on H&E-stained breast biopsy sections as the percentage of tumour stromal area occupied by TILs, and classified into 4 grades: 0 (0%-9%), 1 (10-29%), 2 (30-49%) and 3 (50%-100%). TIL immunophenotype was assessed by immunohistochemistry for CD8, CD4, FoxP3, CD38 or CD20.\nRESULTS: Compared to pure DCIS, miCa contained significantly more cases with TIL density grade 3 (p\u2009=\u20090.028). Concordantly, CD8+, CD4+ and CD38+ cells were more numerous in miCa than in pure DCIS. In the pure DCIS subgroup with TIL density grades 2 and 3, all TIL subpopulations were more numerous than in the pure DCIS with TIL density grades 0 and 1, however the ratio between T-lymphocytes (CD8+ and CD4+) and B-lymphocytes (CD20+) was significantly lower (p\u2009=\u20090.029). On the other side, this ratio was significantly higher in miCa, in comparison with pure DCIS having TIL density grades 2 and 3 (p\u2009=\u20090.017). By cluster analysis of tumour cell pathobiological features we demonstrated similarity between miCa and the pure DCIS with TIL density grades 2 and 3. The only significant difference between those two categories was in the ratio of T- to B-TILs, higher in miCa.\nCONCLUSION: Results indicate that TIL density level can distinguish 2 biologically different DCIS subgroups, one of which (DCIS with \u226530% TILs, the TIL-rich DCIS) is like miCa. Similarity of TIL-rich pure DCIS and miCa as well as the role of B-lymphocytes in DCIS invasiveness are worth further investigating with regards to the potential development of immunotherapy-based prevention of DCIS progression.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12885-018-4013-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024632", 
        "issn": [
          "1471-2407"
        ], 
        "name": "BMC Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Analysis of tumour-infiltrating lymphocytes reveals two new biologically different subgroups of breast ductal carcinoma in situ", 
    "pagination": "129", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "864833452eae18fcc07feb0afbbec54121fd2be164fbf5b73dd649d0021d6aee"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29394917"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100967800"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12885-018-4013-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100800962"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12885-018-4013-6", 
      "https://app.dimensions.ai/details/publication/pub.1100800962"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:55", 
    "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/v90/0000000001_0000000264/records_8700_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186/s12885-018-4013-6"
  }
]
 

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.10.1186/s12885-018-4013-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-4013-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-4013-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-4013-6'


 

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

295 TRIPLES      21 PREDICATES      79 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12885-018-4013-6 schema:about N0c194a69def140d68b46b84d4eaa0c7c
2 N13b68a18fdbe470f8fa8be47c350b55c
3 N693a606d27744bb688d4ab6211b63fca
4 N6f27300b1bda47f786dbc59afa6dbf6f
5 N8d4d2e1978b140929d751a30ad6a4633
6 N92068fa4583a492e8f6065e515fe4893
7 Nb6b3a6b75790445d92c9a423e9cb885e
8 Nd0067aaa29f246d4b4052f2a13d86d34
9 Nd896fe61e2514c72bfa792d06d8a0d15
10 anzsrc-for:11
11 anzsrc-for:1112
12 schema:author N9d90d55a854b48bcb7b0af22e9003dcc
13 schema:citation sg:pub.10.1007/s10549-013-2556-4
14 sg:pub.10.1007/s10549-016-4036-0
15 sg:pub.10.1007/s12282-012-0339-0
16 sg:pub.10.1007/s13277-014-2652-z
17 sg:pub.10.1038/modpathol.2015.158
18 sg:pub.10.1038/ni904
19 sg:pub.10.1038/nrclinonc.2015.215
20 sg:pub.10.1038/nrclinonc.2015.8
21 sg:pub.10.1038/onc.2009.130
22 sg:pub.10.1186/1756-0500-7-325
23 sg:pub.10.1245/s10434-012-2640-8
24 https://app.dimensions.ai/details/publication/pub.1074730246
25 https://app.dimensions.ai/details/publication/pub.1074949034
26 https://app.dimensions.ai/details/publication/pub.1075103132
27 https://app.dimensions.ai/details/publication/pub.1083227937
28 https://doi.org/10.1002/(sici)1096-9896(199702)181:2<200::aid-path726>3.0.co;2-k
29 https://doi.org/10.1002/(sici)1097-0142(19960815)78:4<778::aid-cncr14>3.0.co;2-s
30 https://doi.org/10.1002/(sici)1097-0142(19980615)82:12<2382::aid-cncr12>3.0.co;2-l
31 https://doi.org/10.1002/cncr.10451
32 https://doi.org/10.1016/0360-3016(92)90900-3
33 https://doi.org/10.1016/j.breast.2016.07.015
34 https://doi.org/10.1016/j.coi.2014.01.004
35 https://doi.org/10.1016/j.cyto.2015.02.007
36 https://doi.org/10.1016/j.mce.2013.06.003
37 https://doi.org/10.1046/j.1440-1827.2003.01498.x
38 https://doi.org/10.1073/pnas.1608077113
39 https://doi.org/10.1093/annonc/mdr304
40 https://doi.org/10.1093/annonc/mdu450
41 https://doi.org/10.1111/his.12796
42 https://doi.org/10.1136/jclinpath-2015-203506
43 https://doi.org/10.1136/jcp.2005.031252
44 https://doi.org/10.1158/0008-5472.can-11-0308
45 https://doi.org/10.1158/0008-5472.can-11-3687
46 https://doi.org/10.1158/1078-0432.ccr-15-1315
47 https://doi.org/10.1200/edbook_am.2013.33.46
48 https://doi.org/10.1371/journal.pone.0017876
49 https://doi.org/10.1371/journal.pone.0038783
50 https://doi.org/10.14694/edbook_am.2012.32.40
51 https://doi.org/10.3322/caac.21332
52 https://doi.org/10.4149/neo_2016_006
53 https://doi.org/10.5858/arpa.2013-0953-sa
54 schema:datePublished 2018-12
55 schema:datePublishedReg 2018-12-01
56 schema:description BACKGROUND: Tumour-infiltrating lymphocytes (TILs) have been demonstrated to significantly influence prognosis and response to therapy of invasive breast cancer (IBC). Thus, it has been suggested that TIL density or/and immunophenotype could serve as biomarkers for selection of IBC patients for immunotherapy. However, much less is known about significance of TILs in breast ductal carcinoma in situ (DCIS). METHODS: We retrospectively investigated TIL density and immunophenotype in 96 pure DCIS and 35 microinvasive carcinomas (miCa). TIL density was assessed on H&E-stained breast biopsy sections as the percentage of tumour stromal area occupied by TILs, and classified into 4 grades: 0 (0%-9%), 1 (10-29%), 2 (30-49%) and 3 (50%-100%). TIL immunophenotype was assessed by immunohistochemistry for CD8, CD4, FoxP3, CD38 or CD20. RESULTS: Compared to pure DCIS, miCa contained significantly more cases with TIL density grade 3 (p = 0.028). Concordantly, CD8+, CD4+ and CD38+ cells were more numerous in miCa than in pure DCIS. In the pure DCIS subgroup with TIL density grades 2 and 3, all TIL subpopulations were more numerous than in the pure DCIS with TIL density grades 0 and 1, however the ratio between T-lymphocytes (CD8+ and CD4+) and B-lymphocytes (CD20+) was significantly lower (p = 0.029). On the other side, this ratio was significantly higher in miCa, in comparison with pure DCIS having TIL density grades 2 and 3 (p = 0.017). By cluster analysis of tumour cell pathobiological features we demonstrated similarity between miCa and the pure DCIS with TIL density grades 2 and 3. The only significant difference between those two categories was in the ratio of T- to B-TILs, higher in miCa. CONCLUSION: Results indicate that TIL density level can distinguish 2 biologically different DCIS subgroups, one of which (DCIS with ≥30% TILs, the TIL-rich DCIS) is like miCa. Similarity of TIL-rich pure DCIS and miCa as well as the role of B-lymphocytes in DCIS invasiveness are worth further investigating with regards to the potential development of immunotherapy-based prevention of DCIS progression.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree true
60 schema:isPartOf Nc254ca81a7524b69bb14b9749bc4baf5
61 Nd27591ad3c974eb79e990b8d11ddeb1a
62 sg:journal.1024632
63 schema:name Analysis of tumour-infiltrating lymphocytes reveals two new biologically different subgroups of breast ductal carcinoma in situ
64 schema:pagination 129
65 schema:productId N028aa07e30934d398dffee3663d53eb4
66 N4ce21db6204043f49547f0b48965b0a5
67 N51dc12b767a544b0a6166840d13aeab2
68 N916c5e829f4b4294bf2ec6a6fecc030d
69 N976c8b44944c4bf2b3684ba6d567c80a
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100800962
71 https://doi.org/10.1186/s12885-018-4013-6
72 schema:sdDatePublished 2019-04-11T01:55
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher Na60f6852e699418bb309d09ceae9a87b
75 schema:url http://link.springer.com/10.1186/s12885-018-4013-6
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N028aa07e30934d398dffee3663d53eb4 schema:name readcube_id
80 schema:value 864833452eae18fcc07feb0afbbec54121fd2be164fbf5b73dd649d0021d6aee
81 rdf:type schema:PropertyValue
82 N0c194a69def140d68b46b84d4eaa0c7c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Retrospective Studies
84 rdf:type schema:DefinedTerm
85 N0e2633630f934056a0e239d9523236a4 rdf:first sg:person.01171300562.34
86 rdf:rest N351774b56f1344259d28252f37f3b773
87 N13b68a18fdbe470f8fa8be47c350b55c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Middle Aged
89 rdf:type schema:DefinedTerm
90 N1e7f96c80666433ea56652ad863639dc rdf:first sg:person.01114270207.31
91 rdf:rest Ndf82de462bd441d8b6d0bb52204cba0f
92 N351774b56f1344259d28252f37f3b773 rdf:first sg:person.0643603315.57
93 rdf:rest Nf64c7215289845c8988d0660ed1c2536
94 N4ce21db6204043f49547f0b48965b0a5 schema:name dimensions_id
95 schema:value pub.1100800962
96 rdf:type schema:PropertyValue
97 N51dc12b767a544b0a6166840d13aeab2 schema:name nlm_unique_id
98 schema:value 100967800
99 rdf:type schema:PropertyValue
100 N5f3041700c784017b7ecfc5e33a03717 schema:name Department of Surgical Oncology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France
101 rdf:type schema:Organization
102 N6577bdd4de724fe2ad900cc16b482ceb schema:name Department of Surgical Oncology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France
103 Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France
104 Master Program « Biology & Health », University Paris-East Val-de-Marne (UPEC), 61 avenue du General de Gaulle, 94010, Creteil, France
105 rdf:type schema:Organization
106 N693a606d27744bb688d4ab6211b63fca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Lymphocytes, Tumor-Infiltrating
108 rdf:type schema:DefinedTerm
109 N6f27300b1bda47f786dbc59afa6dbf6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Adult
111 rdf:type schema:DefinedTerm
112 N8d4d2e1978b140929d751a30ad6a4633 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Carcinoma, Intraductal, Noninfiltrating
114 rdf:type schema:DefinedTerm
115 N916c5e829f4b4294bf2ec6a6fecc030d schema:name pubmed_id
116 schema:value 29394917
117 rdf:type schema:PropertyValue
118 N92068fa4583a492e8f6065e515fe4893 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Aged
120 rdf:type schema:DefinedTerm
121 N976c8b44944c4bf2b3684ba6d567c80a schema:name doi
122 schema:value 10.1186/s12885-018-4013-6
123 rdf:type schema:PropertyValue
124 N9d90d55a854b48bcb7b0af22e9003dcc rdf:first sg:person.015261671235.43
125 rdf:rest Na66705447c924ee1b6782b19bc592b31
126 Na60f6852e699418bb309d09ceae9a87b schema:name Springer Nature - SN SciGraph project
127 rdf:type schema:Organization
128 Na66705447c924ee1b6782b19bc592b31 rdf:first sg:person.01125542761.65
129 rdf:rest N1e7f96c80666433ea56652ad863639dc
130 Nb6735195e25d475ba513bc773fa9d9ca rdf:first sg:person.01202523243.30
131 rdf:rest N0e2633630f934056a0e239d9523236a4
132 Nb6b3a6b75790445d92c9a423e9cb885e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Breast Neoplasms
134 rdf:type schema:DefinedTerm
135 Nb6cb491cd554436198b4529a25cb5ce5 schema:name Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France
136 Present Address: Department of Pathology, Paoli-Calmettes Comprehensive Cancer Centre, 232 boulevard Sainte-Marguerite, 13009, Marseilles, France
137 rdf:type schema:Organization
138 Nc254ca81a7524b69bb14b9749bc4baf5 schema:volumeNumber 18
139 rdf:type schema:PublicationVolume
140 Nd0067aaa29f246d4b4052f2a13d86d34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Female
142 rdf:type schema:DefinedTerm
143 Nd27591ad3c974eb79e990b8d11ddeb1a schema:issueNumber 1
144 rdf:type schema:PublicationIssue
145 Nd896fe61e2514c72bfa792d06d8a0d15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Humans
147 rdf:type schema:DefinedTerm
148 Ndf82de462bd441d8b6d0bb52204cba0f rdf:first sg:person.0602426107.50
149 rdf:rest Nb6735195e25d475ba513bc773fa9d9ca
150 Nf64c7215289845c8988d0660ed1c2536 rdf:first sg:person.0640470520.94
151 rdf:rest rdf:nil
152 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
153 schema:name Medical and Health Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
156 schema:name Oncology and Carcinogenesis
157 rdf:type schema:DefinedTerm
158 sg:journal.1024632 schema:issn 1471-2407
159 schema:name BMC Cancer
160 rdf:type schema:Periodical
161 sg:person.01114270207.31 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
162 schema:familyName Kwiatkowski
163 schema:givenName Fabrice
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114270207.31
165 rdf:type schema:Person
166 sg:person.01125542761.65 schema:affiliation Nb6cb491cd554436198b4529a25cb5ce5
167 schema:familyName Dauplat
168 schema:givenName Marie-Melanie
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125542761.65
170 rdf:type schema:Person
171 sg:person.01171300562.34 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
172 schema:familyName Pomel
173 schema:givenName Christophe
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171300562.34
175 rdf:type schema:Person
176 sg:person.01202523243.30 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
177 schema:familyName Tixier
178 schema:givenName Lucie
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202523243.30
180 rdf:type schema:Person
181 sg:person.015261671235.43 schema:affiliation N6577bdd4de724fe2ad900cc16b482ceb
182 schema:familyName Beguinot
183 schema:givenName Marie
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015261671235.43
185 rdf:type schema:Person
186 sg:person.0602426107.50 schema:affiliation N5f3041700c784017b7ecfc5e33a03717
187 schema:familyName Lebouedec
188 schema:givenName Guillaume
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602426107.50
190 rdf:type schema:Person
191 sg:person.0640470520.94 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
192 schema:familyName Radosevic-Robin
193 schema:givenName Nina
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640470520.94
195 rdf:type schema:Person
196 sg:person.0643603315.57 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
197 schema:familyName Penault-Llorca
198 schema:givenName Frederique
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643603315.57
200 rdf:type schema:Person
201 sg:pub.10.1007/s10549-013-2556-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009092293
202 https://doi.org/10.1007/s10549-013-2556-4
203 rdf:type schema:CreativeWork
204 sg:pub.10.1007/s10549-016-4036-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033485537
205 https://doi.org/10.1007/s10549-016-4036-0
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/s12282-012-0339-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006641687
208 https://doi.org/10.1007/s12282-012-0339-0
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s13277-014-2652-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1008074787
211 https://doi.org/10.1007/s13277-014-2652-z
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/modpathol.2015.158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045493920
214 https://doi.org/10.1038/modpathol.2015.158
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/ni904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053106484
217 https://doi.org/10.1038/ni904
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/nrclinonc.2015.215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044925771
220 https://doi.org/10.1038/nrclinonc.2015.215
221 rdf:type schema:CreativeWork
222 sg:pub.10.1038/nrclinonc.2015.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035351041
223 https://doi.org/10.1038/nrclinonc.2015.8
224 rdf:type schema:CreativeWork
225 sg:pub.10.1038/onc.2009.130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028079634
226 https://doi.org/10.1038/onc.2009.130
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/1756-0500-7-325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010494995
229 https://doi.org/10.1186/1756-0500-7-325
230 rdf:type schema:CreativeWork
231 sg:pub.10.1245/s10434-012-2640-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017167308
232 https://doi.org/10.1245/s10434-012-2640-8
233 rdf:type schema:CreativeWork
234 https://app.dimensions.ai/details/publication/pub.1074730246 schema:CreativeWork
235 https://app.dimensions.ai/details/publication/pub.1074949034 schema:CreativeWork
236 https://app.dimensions.ai/details/publication/pub.1075103132 schema:CreativeWork
237 https://app.dimensions.ai/details/publication/pub.1083227937 schema:CreativeWork
238 https://doi.org/10.1002/(sici)1096-9896(199702)181:2<200::aid-path726>3.0.co;2-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1021391256
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1002/(sici)1097-0142(19960815)78:4<778::aid-cncr14>3.0.co;2-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1032974768
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1002/(sici)1097-0142(19980615)82:12<2382::aid-cncr12>3.0.co;2-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1019474524
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1002/cncr.10451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005655896
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/0360-3016(92)90900-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010289236
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.breast.2016.07.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001675593
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.coi.2014.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041557628
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/j.cyto.2015.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041454927
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/j.mce.2013.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010379154
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1046/j.1440-1827.2003.01498.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041876484
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1073/pnas.1608077113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003267049
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1093/annonc/mdr304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009166329
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1093/annonc/mdu450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052737833
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1111/his.12796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012690903
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1136/jclinpath-2015-203506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012043350
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1136/jcp.2005.031252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022148682
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1158/0008-5472.can-11-0308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015521731
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1158/0008-5472.can-11-3687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011119175
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1158/1078-0432.ccr-15-1315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029329089
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1200/edbook_am.2013.33.46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064202636
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1371/journal.pone.0017876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016475673
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1371/journal.pone.0038783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031628045
281 rdf:type schema:CreativeWork
282 https://doi.org/10.14694/edbook_am.2012.32.40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078845820
283 rdf:type schema:CreativeWork
284 https://doi.org/10.3322/caac.21332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032745321
285 rdf:type schema:CreativeWork
286 https://doi.org/10.4149/neo_2016_006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072262787
287 rdf:type schema:CreativeWork
288 https://doi.org/10.5858/arpa.2013-0953-sa schema:sameAs https://app.dimensions.ai/details/publication/pub.1023063099
289 rdf:type schema:CreativeWork
290 https://www.grid.ac/institutes/grid.494717.8 schema:alternateName University of Clermont Auvergne
291 schema:name Department of Clinical Research, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France
292 Department of Surgical Oncology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France
293 Department of Surgical Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, BP392, 63011, Clermont-Ferrand, France
294 University Clermont Auvergne, INSERM U1240, Jean Perrin Comprehensive Cancer Centre, 58 rue Montalembert, 63011, Clermont-Ferrand, France
295 rdf:type schema:Organization
 




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


...