The association between Histone 3 Lysine 27 Trimethylation (H3K27me3) and prostate cancer: relationship with clinicopathological parameters View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Marjolaine Ngollo, Andre Lebert, Aslihan Dagdemir, Gaelle Judes, Seher Karsli-Ceppioglu, Marine Daures, Jean-Louis Kemeny, Frederique Penault-Llorca, Jean-Paul Boiteux, Yves-Jean Bignon, Laurent Guy, Dominique Bernard-Gallon

ABSTRACT

BACKGROUND: It is well established that genetic and epigenetic alterations are common events in prostate cancer, which may lead to aberrant expression of critical genes. The importance of epigenetic mechanisms in prostate cancer carcinogenesis is increasingly evident. In this study, the focus will be on histone modifications and the primary objectives are to map H3K27me3 marks and quantify RAR beta 2, ER alpha, SRC3, RGMA, PGR, and EZH2 gene expressions in prostate cancer tissues compared to normal tissues. In addition, a data analysis was made in connection with the clinicopathological parameters. METHODS: 71 normal specimens and 66 cancer prostate tissues were randomly selected in order to assess the proportion of the repressive H3K27me3 mark and gene expression. H3K27me3 level was evaluated by ChIP-qPCR and mRNA expression using RT-qPCR between prostate cancer and normal tissues. Subsequently, western-blotting was performed for protein detection. The analysis of variance (ANOVA) was performed, and Tukey's test was used to correct for multiple comparisons (p-value threshold of 0.05). The principal component analysis (PCA) and discriminant factorial analysis (DFA) were used to explore the association between H3K27me3 level and clinicopathological parameters. RESULTS: The study demonstrated that H3K27me3 level was significantly enriched at the RAR beta 2, ER alpha, PGR, and RGMA promoter regions in prostate cancer tissues compared to normal tissues. After stratification by clinicopathological parameters, the H3K27me3 level was positively correlated with Gleason score, PSA levels and clinical stages for RAR beta 2, ER alpha, PGR, and RGMA. High H3K27me3 mark was significantly associated with decreased RAR beta 2, ER alpha, PGR and RGMA gene expressions in prostate cancer sample compared to the normal one. Moreover, the results showed that mRNA level of EZH2, AR and SRC3 are upregulated in prostate cancer compared to normal prostate tissues and this correlates positively with Gleason score, PSA levels and clinical stages. Obviously, these observations were confirmed by protein level using western-blot. CONCLUSIONS: This data clearly demonstrated that H3K27me3 level correlated with aggressive tumor features. Also this study revealed that reverse correlation of RAR beta 2, ER alpha, PGR, and RGMA expressions with EZH2, SRC3, and AR expressions in prostate cancer tissues suggests that these genes are the target of EZH2. Therefore, all therapeutic strategies leading to histone demethylation with epigenetic drugs such as histone methyltransferase inhibitor may be relevant treatments against prostate cancer. More... »

PAGES

994

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2407-14-994

DOI

http://dx.doi.org/10.1186/1471-2407-14-994

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034992770

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25535400


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": "DNA Methylation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Enhancer of Zeste Homolog 2 Protein", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Epigenesis, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Neoplastic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Histones", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Grading", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nuclear Receptor Coactivator 3", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polycomb Repressive Complex 2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Principal Component Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Promoter Regions, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Androgen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Retinoic Acid", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ngollo", 
        "givenName": "Marjolaine", 
        "id": "sg:person.0751435142.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751435142.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "University Blaise Pascal, Institut Pascal UMR 6602 CNRS/UBP, 24 Avenue des Landais, Aubiere, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lebert", 
        "givenName": "Andre", 
        "id": "sg:person.01106121522.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106121522.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dagdemir", 
        "givenName": "Aslihan", 
        "id": "sg:person.0635206542.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635206542.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Judes", 
        "givenName": "Gaelle", 
        "id": "sg:person.01322116302.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322116302.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karsli-Ceppioglu", 
        "givenName": "Seher", 
        "id": "sg:person.01023566506.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023566506.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Daures", 
        "givenName": "Marine", 
        "id": "sg:person.01134160414.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134160414.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Clermont-Ferrand", 
          "id": "https://www.grid.ac/institutes/grid.411163.0", 
          "name": [
            "Department of Anatomo-pathology, Gabriel Montpied Hospital, 58 rue Montalembert, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kemeny", 
        "givenName": "Jean-Louis", 
        "id": "sg:person.015162364244.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015162364244.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, 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": "Centre Hospitalier Universitaire de Clermont-Ferrand", 
          "id": "https://www.grid.ac/institutes/grid.411163.0", 
          "name": [
            "Department of Urology, Gabriel Montpied Hospital, 58 rue Montalembert, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boiteux", 
        "givenName": "Jean-Paul", 
        "id": "sg:person.01337274212.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337274212.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bignon", 
        "givenName": "Yves-Jean", 
        "id": "sg:person.0734472562.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734472562.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Clermont-Ferrand", 
          "id": "https://www.grid.ac/institutes/grid.411163.0", 
          "name": [
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "Department of Urology, Gabriel Montpied Hospital, 58 rue Montalembert, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guy", 
        "givenName": "Laurent", 
        "id": "sg:person.0627164206.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627164206.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Clermont Auvergne", 
          "id": "https://www.grid.ac/institutes/grid.494717.8", 
          "name": [
            "Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France", 
            "EA 4677 \"ERTICA\", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bernard-Gallon", 
        "givenName": "Dominique", 
        "id": "sg:person.0716262573.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716262573.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1158/1535-7163.mct-04-0287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000862451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.12-210971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001431085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.20107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009055747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2009.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009892747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/epi.11.103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011488288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000318017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012768809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pros.20929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013143298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m112.353094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013578274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/epi.12.74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014841114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1232332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015066014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13238-013-2093-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015590727", 
          "https://doi.org/10.1007/s13238-013-2093-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/138920211797904061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015765617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cddis.2011.84", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017623706", 
          "https://doi.org/10.1038/cddis.2011.84"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-12-0228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019116379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-09-3342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022064395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/omi.2012.0124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025071297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025096861", 
          "https://doi.org/10.1038/nature01075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025096861", 
          "https://doi.org/10.1038/nature01075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.3780316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026196224", 
          "https://doi.org/10.1038/labinvest.3780316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.3780316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026196224", 
          "https://doi.org/10.1038/labinvest.3780316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027745023", 
          "https://doi.org/10.1038/ng.159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1118947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029113782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tcb.2009.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029553632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030730501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1165395", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030761669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03672", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030798307", 
          "https://doi.org/10.1038/nature03672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03672", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030798307", 
          "https://doi.org/10.1038/nature03672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033770262", 
          "https://doi.org/10.1038/nature05919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.steroids.2007.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035278641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccr.2012.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039908931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/epi.10.31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044826711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-08-2216", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048751420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1535-7163.mct-06-0144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050761655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bimj.200810425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050800839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mou.0000000000000031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051878569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mou.0000000000000031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051878569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/omi.2013.0117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059304047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18637/jss.v032.i03", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068672481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ijo.2011.1251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071512527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2011.1339", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071531452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074658154", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074792753", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074997018", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-04-4076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077108329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077901738", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078193825", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078466515", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078850504", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: It is well established that genetic and epigenetic alterations are common events in prostate cancer, which may lead to aberrant expression of critical genes. The importance of epigenetic mechanisms in prostate cancer carcinogenesis is increasingly evident. In this study, the focus will be on histone modifications and the primary objectives are to map H3K27me3 marks and quantify RAR beta 2, ER alpha, SRC3, RGMA, PGR, and EZH2 gene expressions in prostate cancer tissues compared to normal tissues. In addition, a data analysis was made in connection with the clinicopathological parameters.\nMETHODS: 71 normal specimens and 66 cancer prostate tissues were randomly selected in order to assess the proportion of the repressive H3K27me3 mark and gene expression. H3K27me3 level was evaluated by ChIP-qPCR and mRNA expression using RT-qPCR between prostate cancer and normal tissues. Subsequently, western-blotting was performed for protein detection. The analysis of variance (ANOVA) was performed, and Tukey's test was used to correct for multiple comparisons (p-value threshold of 0.05). The principal component analysis (PCA) and discriminant factorial analysis (DFA) were used to explore the association between H3K27me3 level and clinicopathological parameters.\nRESULTS: The study demonstrated that H3K27me3 level was significantly enriched at the RAR beta 2, ER alpha, PGR, and RGMA promoter regions in prostate cancer tissues compared to normal tissues. After stratification by clinicopathological parameters, the H3K27me3 level was positively correlated with Gleason score, PSA levels and clinical stages for RAR beta 2, ER alpha, PGR, and RGMA. High H3K27me3 mark was significantly associated with decreased RAR beta 2, ER alpha, PGR and RGMA gene expressions in prostate cancer sample compared to the normal one. Moreover, the results showed that mRNA level of EZH2, AR and SRC3 are upregulated in prostate cancer compared to normal prostate tissues and this correlates positively with Gleason score, PSA levels and clinical stages. Obviously, these observations were confirmed by protein level using western-blot.\nCONCLUSIONS: This data clearly demonstrated that H3K27me3 level correlated with aggressive tumor features. Also this study revealed that reverse correlation of RAR beta 2, ER alpha, PGR, and RGMA expressions with EZH2, SRC3, and AR expressions in prostate cancer tissues suggests that these genes are the target of EZH2. Therefore, all therapeutic strategies leading to histone demethylation with epigenetic drugs such as histone methyltransferase inhibitor may be relevant treatments against prostate cancer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2407-14-994", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024632", 
        "issn": [
          "1471-2407"
        ], 
        "name": "BMC Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "The association between Histone 3 Lysine 27 Trimethylation (H3K27me3) and prostate cancer: relationship with clinicopathological parameters", 
    "pagination": "994", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a6b11b7990f2f9e10bb4b939c232baa268b0ec296f4fe2e368ddeb033bb0b412"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25535400"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100967800"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2407-14-994"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034992770"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2407-14-994", 
      "https://app.dimensions.ai/details/publication/pub.1034992770"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:54", 
    "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_8669_00000590.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2407-14-994"
  }
]
 

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.10.1186/1471-2407-14-994'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-14-994'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-14-994'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-14-994'


 

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

345 TRIPLES      21 PREDICATES      88 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2407-14-994 schema:about N1f1930a049d04436ae3033bfa70b893a
2 N3ccb26cb9d88460390adb8df4d1558d5
3 N479e23f7f34c4a5fbc04f1584efd5255
4 N80007ece54ba428e8bbb6fc66d8560a1
5 N864511c9d1d74e088c5ed95a3abce7b3
6 N86bd6f94fb7447c4ad7e699921716507
7 Na2781c4cab2b4ce3b14b9f382dbf9932
8 Nafa2848dcb984ae48248281854d1a654
9 Nb93c6aada53f4ac29854a8928f35d933
10 Ncc8564ef86c540c896c4bb0ca2f782c4
11 Ne27d89605d1b45328861d59c1902f878
12 Ne5a507d065334f59a47eef71ea724caa
13 Nea5f70d7f45c41559c9b5daea3f0d1d0
14 Nf1f6ed83fee04bb2be3984650676cff1
15 Nf520c6e201c54b9d99ee0a8e87370d17
16 anzsrc-for:11
17 anzsrc-for:1112
18 schema:author Ne2cad30bf9db47349d584eef58de6471
19 schema:citation sg:pub.10.1007/s13238-013-2093-2
20 sg:pub.10.1038/cddis.2011.84
21 sg:pub.10.1038/labinvest.3780316
22 sg:pub.10.1038/nature01075
23 sg:pub.10.1038/nature03672
24 sg:pub.10.1038/nature05919
25 sg:pub.10.1038/ng.159
26 https://app.dimensions.ai/details/publication/pub.1074658154
27 https://app.dimensions.ai/details/publication/pub.1074792753
28 https://app.dimensions.ai/details/publication/pub.1074997018
29 https://app.dimensions.ai/details/publication/pub.1077901738
30 https://app.dimensions.ai/details/publication/pub.1078193825
31 https://app.dimensions.ai/details/publication/pub.1078466515
32 https://app.dimensions.ai/details/publication/pub.1078850504
33 https://doi.org/10.1002/bimj.200810425
34 https://doi.org/10.1002/pros.20929
35 https://doi.org/10.1016/j.ccr.2012.06.008
36 https://doi.org/10.1016/j.steroids.2007.10.013
37 https://doi.org/10.1016/j.tcb.2009.10.001
38 https://doi.org/10.1053/j.gastro.2009.03.005
39 https://doi.org/10.1074/jbc.m112.353094
40 https://doi.org/10.1089/omi.2012.0124
41 https://doi.org/10.1089/omi.2013.0117
42 https://doi.org/10.1096/fj.12-210971
43 https://doi.org/10.1097/mou.0000000000000031
44 https://doi.org/10.1126/science.1118947
45 https://doi.org/10.1126/science.1165395
46 https://doi.org/10.1126/science.1232332
47 https://doi.org/10.1158/0008-5472.can-04-4076
48 https://doi.org/10.1158/0008-5472.can-08-2216
49 https://doi.org/10.1158/0008-5472.can-12-0228
50 https://doi.org/10.1158/1078-0432.ccr-09-3342
51 https://doi.org/10.1158/1535-7163.mct-04-0287
52 https://doi.org/10.1158/1535-7163.mct-06-0144
53 https://doi.org/10.1159/000318017
54 https://doi.org/10.18632/oncotarget.327
55 https://doi.org/10.18637/jss.v032.i03
56 https://doi.org/10.2174/138920211797904061
57 https://doi.org/10.2217/epi.10.31
58 https://doi.org/10.2217/epi.11.103
59 https://doi.org/10.2217/epi.12.74
60 https://doi.org/10.3322/caac.20107
61 https://doi.org/10.3892/ijo.2011.1251
62 https://doi.org/10.3892/or.2011.1339
63 schema:datePublished 2014-12
64 schema:datePublishedReg 2014-12-01
65 schema:description BACKGROUND: It is well established that genetic and epigenetic alterations are common events in prostate cancer, which may lead to aberrant expression of critical genes. The importance of epigenetic mechanisms in prostate cancer carcinogenesis is increasingly evident. In this study, the focus will be on histone modifications and the primary objectives are to map H3K27me3 marks and quantify RAR beta 2, ER alpha, SRC3, RGMA, PGR, and EZH2 gene expressions in prostate cancer tissues compared to normal tissues. In addition, a data analysis was made in connection with the clinicopathological parameters. METHODS: 71 normal specimens and 66 cancer prostate tissues were randomly selected in order to assess the proportion of the repressive H3K27me3 mark and gene expression. H3K27me3 level was evaluated by ChIP-qPCR and mRNA expression using RT-qPCR between prostate cancer and normal tissues. Subsequently, western-blotting was performed for protein detection. The analysis of variance (ANOVA) was performed, and Tukey's test was used to correct for multiple comparisons (p-value threshold of 0.05). The principal component analysis (PCA) and discriminant factorial analysis (DFA) were used to explore the association between H3K27me3 level and clinicopathological parameters. RESULTS: The study demonstrated that H3K27me3 level was significantly enriched at the RAR beta 2, ER alpha, PGR, and RGMA promoter regions in prostate cancer tissues compared to normal tissues. After stratification by clinicopathological parameters, the H3K27me3 level was positively correlated with Gleason score, PSA levels and clinical stages for RAR beta 2, ER alpha, PGR, and RGMA. High H3K27me3 mark was significantly associated with decreased RAR beta 2, ER alpha, PGR and RGMA gene expressions in prostate cancer sample compared to the normal one. Moreover, the results showed that mRNA level of EZH2, AR and SRC3 are upregulated in prostate cancer compared to normal prostate tissues and this correlates positively with Gleason score, PSA levels and clinical stages. Obviously, these observations were confirmed by protein level using western-blot. CONCLUSIONS: This data clearly demonstrated that H3K27me3 level correlated with aggressive tumor features. Also this study revealed that reverse correlation of RAR beta 2, ER alpha, PGR, and RGMA expressions with EZH2, SRC3, and AR expressions in prostate cancer tissues suggests that these genes are the target of EZH2. Therefore, all therapeutic strategies leading to histone demethylation with epigenetic drugs such as histone methyltransferase inhibitor may be relevant treatments against prostate cancer.
66 schema:genre research_article
67 schema:inLanguage en
68 schema:isAccessibleForFree true
69 schema:isPartOf N5f5a00c4fabf43d8bb8efed401fdf901
70 N6b92a9a1e5e4452699f6d44706ab30c4
71 sg:journal.1024632
72 schema:name The association between Histone 3 Lysine 27 Trimethylation (H3K27me3) and prostate cancer: relationship with clinicopathological parameters
73 schema:pagination 994
74 schema:productId N1b56d1a1a5ab4fd8a03211473fad0d4f
75 N28d81943493d4b29b63d6337095bf290
76 N2dea109b21194b5398ff1131fdc47861
77 N2ed171289caf46a3b730507bd92e01c6
78 Nf4171ae102354574b6f1ea9bc74fd0fb
79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034992770
80 https://doi.org/10.1186/1471-2407-14-994
81 schema:sdDatePublished 2019-04-10T16:54
82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
83 schema:sdPublisher Naa28f76a1b9b41e69700ce9cae3eaf57
84 schema:url http://link.springer.com/10.1186%2F1471-2407-14-994
85 sgo:license sg:explorer/license/
86 sgo:sdDataset articles
87 rdf:type schema:ScholarlyArticle
88 N14c8108ab5e84515af9424c09049c1e7 rdf:first sg:person.0635206542.37
89 rdf:rest N6d634fcfdcca4c0ea389ac3074da003a
90 N1b56d1a1a5ab4fd8a03211473fad0d4f schema:name readcube_id
91 schema:value a6b11b7990f2f9e10bb4b939c232baa268b0ec296f4fe2e368ddeb033bb0b412
92 rdf:type schema:PropertyValue
93 N1f1930a049d04436ae3033bfa70b893a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Promoter Regions, Genetic
95 rdf:type schema:DefinedTerm
96 N28d81943493d4b29b63d6337095bf290 schema:name nlm_unique_id
97 schema:value 100967800
98 rdf:type schema:PropertyValue
99 N2a7e55ebc7eb491795839f96ab70b452 rdf:first sg:person.01023566506.66
100 rdf:rest N408ea30ce347497fbe0247041796526e
101 N2dea109b21194b5398ff1131fdc47861 schema:name pubmed_id
102 schema:value 25535400
103 rdf:type schema:PropertyValue
104 N2ed171289caf46a3b730507bd92e01c6 schema:name dimensions_id
105 schema:value pub.1034992770
106 rdf:type schema:PropertyValue
107 N3ccb26cb9d88460390adb8df4d1558d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Principal Component Analysis
109 rdf:type schema:DefinedTerm
110 N408ea30ce347497fbe0247041796526e rdf:first sg:person.01134160414.02
111 rdf:rest Nd136ad4d3b484457a8dccd99ab8818c9
112 N479e23f7f34c4a5fbc04f1584efd5255 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Male
114 rdf:type schema:DefinedTerm
115 N4c595fce419f44e18b59cce095de21d1 rdf:first sg:person.0734472562.93
116 rdf:rest Nb096c145ada4428d8fbcc53345448326
117 N4e89b6e614464d8f9a8f04657aefe4a9 rdf:first sg:person.01337274212.31
118 rdf:rest N4c595fce419f44e18b59cce095de21d1
119 N5f5a00c4fabf43d8bb8efed401fdf901 schema:volumeNumber 14
120 rdf:type schema:PublicationVolume
121 N6b92a9a1e5e4452699f6d44706ab30c4 schema:issueNumber 1
122 rdf:type schema:PublicationIssue
123 N6d634fcfdcca4c0ea389ac3074da003a rdf:first sg:person.01322116302.52
124 rdf:rest N2a7e55ebc7eb491795839f96ab70b452
125 N80007ece54ba428e8bbb6fc66d8560a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Humans
127 rdf:type schema:DefinedTerm
128 N864511c9d1d74e088c5ed95a3abce7b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Receptors, Androgen
130 rdf:type schema:DefinedTerm
131 N86bd6f94fb7447c4ad7e699921716507 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name DNA Methylation
133 rdf:type schema:DefinedTerm
134 N87514865bcc744ed9d38b5d20c9d2f52 rdf:first sg:person.0643603315.57
135 rdf:rest N4e89b6e614464d8f9a8f04657aefe4a9
136 N87bb107c550a48a0b5c4d04ed8ac4e10 schema:name University Blaise Pascal, Institut Pascal UMR 6602 CNRS/UBP, 24 Avenue des Landais, Aubiere, France
137 rdf:type schema:Organization
138 N9105de7c2d884cec87b93893f0a5a574 rdf:first sg:person.01106121522.26
139 rdf:rest N14c8108ab5e84515af9424c09049c1e7
140 Na2781c4cab2b4ce3b14b9f382dbf9932 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Polycomb Repressive Complex 2
142 rdf:type schema:DefinedTerm
143 Na4f0e2c38bb44935a12bb3145b1bfa10 rdf:first sg:person.0716262573.22
144 rdf:rest rdf:nil
145 Naa28f76a1b9b41e69700ce9cae3eaf57 schema:name Springer Nature - SN SciGraph project
146 rdf:type schema:Organization
147 Nafa2848dcb984ae48248281854d1a654 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Histones
149 rdf:type schema:DefinedTerm
150 Nb096c145ada4428d8fbcc53345448326 rdf:first sg:person.0627164206.05
151 rdf:rest Na4f0e2c38bb44935a12bb3145b1bfa10
152 Nb93c6aada53f4ac29854a8928f35d933 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Prostatic Neoplasms
154 rdf:type schema:DefinedTerm
155 Ncc8564ef86c540c896c4bb0ca2f782c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Receptors, Retinoic Acid
157 rdf:type schema:DefinedTerm
158 Nd136ad4d3b484457a8dccd99ab8818c9 rdf:first sg:person.015162364244.37
159 rdf:rest N87514865bcc744ed9d38b5d20c9d2f52
160 Ne27d89605d1b45328861d59c1902f878 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Enhancer of Zeste Homolog 2 Protein
162 rdf:type schema:DefinedTerm
163 Ne2cad30bf9db47349d584eef58de6471 rdf:first sg:person.0751435142.08
164 rdf:rest N9105de7c2d884cec87b93893f0a5a574
165 Ne5a507d065334f59a47eef71ea724caa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Nuclear Receptor Coactivator 3
167 rdf:type schema:DefinedTerm
168 Nea5f70d7f45c41559c9b5daea3f0d1d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Epigenesis, Genetic
170 rdf:type schema:DefinedTerm
171 Nf1f6ed83fee04bb2be3984650676cff1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Neoplasm Grading
173 rdf:type schema:DefinedTerm
174 Nf4171ae102354574b6f1ea9bc74fd0fb schema:name doi
175 schema:value 10.1186/1471-2407-14-994
176 rdf:type schema:PropertyValue
177 Nf520c6e201c54b9d99ee0a8e87370d17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Gene Expression Regulation, Neoplastic
179 rdf:type schema:DefinedTerm
180 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
181 schema:name Medical and Health Sciences
182 rdf:type schema:DefinedTerm
183 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
184 schema:name Oncology and Carcinogenesis
185 rdf:type schema:DefinedTerm
186 sg:journal.1024632 schema:issn 1471-2407
187 schema:name BMC Cancer
188 rdf:type schema:Periodical
189 sg:person.01023566506.66 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
190 schema:familyName Karsli-Ceppioglu
191 schema:givenName Seher
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023566506.66
193 rdf:type schema:Person
194 sg:person.01106121522.26 schema:affiliation N87bb107c550a48a0b5c4d04ed8ac4e10
195 schema:familyName Lebert
196 schema:givenName Andre
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106121522.26
198 rdf:type schema:Person
199 sg:person.01134160414.02 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
200 schema:familyName Daures
201 schema:givenName Marine
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134160414.02
203 rdf:type schema:Person
204 sg:person.01322116302.52 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
205 schema:familyName Judes
206 schema:givenName Gaelle
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322116302.52
208 rdf:type schema:Person
209 sg:person.01337274212.31 schema:affiliation https://www.grid.ac/institutes/grid.411163.0
210 schema:familyName Boiteux
211 schema:givenName Jean-Paul
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337274212.31
213 rdf:type schema:Person
214 sg:person.015162364244.37 schema:affiliation https://www.grid.ac/institutes/grid.411163.0
215 schema:familyName Kemeny
216 schema:givenName Jean-Louis
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015162364244.37
218 rdf:type schema:Person
219 sg:person.0627164206.05 schema:affiliation https://www.grid.ac/institutes/grid.411163.0
220 schema:familyName Guy
221 schema:givenName Laurent
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627164206.05
223 rdf:type schema:Person
224 sg:person.0635206542.37 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
225 schema:familyName Dagdemir
226 schema:givenName Aslihan
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635206542.37
228 rdf:type schema:Person
229 sg:person.0643603315.57 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
230 schema:familyName Penault-Llorca
231 schema:givenName Frederique
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643603315.57
233 rdf:type schema:Person
234 sg:person.0716262573.22 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
235 schema:familyName Bernard-Gallon
236 schema:givenName Dominique
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716262573.22
238 rdf:type schema:Person
239 sg:person.0734472562.93 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
240 schema:familyName Bignon
241 schema:givenName Yves-Jean
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734472562.93
243 rdf:type schema:Person
244 sg:person.0751435142.08 schema:affiliation https://www.grid.ac/institutes/grid.494717.8
245 schema:familyName Ngollo
246 schema:givenName Marjolaine
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751435142.08
248 rdf:type schema:Person
249 sg:pub.10.1007/s13238-013-2093-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015590727
250 https://doi.org/10.1007/s13238-013-2093-2
251 rdf:type schema:CreativeWork
252 sg:pub.10.1038/cddis.2011.84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017623706
253 https://doi.org/10.1038/cddis.2011.84
254 rdf:type schema:CreativeWork
255 sg:pub.10.1038/labinvest.3780316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026196224
256 https://doi.org/10.1038/labinvest.3780316
257 rdf:type schema:CreativeWork
258 sg:pub.10.1038/nature01075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025096861
259 https://doi.org/10.1038/nature01075
260 rdf:type schema:CreativeWork
261 sg:pub.10.1038/nature03672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030798307
262 https://doi.org/10.1038/nature03672
263 rdf:type schema:CreativeWork
264 sg:pub.10.1038/nature05919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033770262
265 https://doi.org/10.1038/nature05919
266 rdf:type schema:CreativeWork
267 sg:pub.10.1038/ng.159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027745023
268 https://doi.org/10.1038/ng.159
269 rdf:type schema:CreativeWork
270 https://app.dimensions.ai/details/publication/pub.1074658154 schema:CreativeWork
271 https://app.dimensions.ai/details/publication/pub.1074792753 schema:CreativeWork
272 https://app.dimensions.ai/details/publication/pub.1074997018 schema:CreativeWork
273 https://app.dimensions.ai/details/publication/pub.1077901738 schema:CreativeWork
274 https://app.dimensions.ai/details/publication/pub.1078193825 schema:CreativeWork
275 https://app.dimensions.ai/details/publication/pub.1078466515 schema:CreativeWork
276 https://app.dimensions.ai/details/publication/pub.1078850504 schema:CreativeWork
277 https://doi.org/10.1002/bimj.200810425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050800839
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1002/pros.20929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013143298
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1016/j.ccr.2012.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039908931
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1016/j.steroids.2007.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035278641
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1016/j.tcb.2009.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029553632
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1053/j.gastro.2009.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009892747
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1074/jbc.m112.353094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013578274
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1089/omi.2012.0124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025071297
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1089/omi.2013.0117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059304047
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1096/fj.12-210971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001431085
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1097/mou.0000000000000031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051878569
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1126/science.1118947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029113782
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1126/science.1165395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030761669
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1126/science.1232332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015066014
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1158/0008-5472.can-04-4076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077108329
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1158/0008-5472.can-08-2216 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048751420
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1158/0008-5472.can-12-0228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019116379
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1158/1078-0432.ccr-09-3342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022064395
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1158/1535-7163.mct-04-0287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000862451
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1158/1535-7163.mct-06-0144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050761655
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1159/000318017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012768809
318 rdf:type schema:CreativeWork
319 https://doi.org/10.18632/oncotarget.327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030730501
320 rdf:type schema:CreativeWork
321 https://doi.org/10.18637/jss.v032.i03 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068672481
322 rdf:type schema:CreativeWork
323 https://doi.org/10.2174/138920211797904061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015765617
324 rdf:type schema:CreativeWork
325 https://doi.org/10.2217/epi.10.31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044826711
326 rdf:type schema:CreativeWork
327 https://doi.org/10.2217/epi.11.103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011488288
328 rdf:type schema:CreativeWork
329 https://doi.org/10.2217/epi.12.74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014841114
330 rdf:type schema:CreativeWork
331 https://doi.org/10.3322/caac.20107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009055747
332 rdf:type schema:CreativeWork
333 https://doi.org/10.3892/ijo.2011.1251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071512527
334 rdf:type schema:CreativeWork
335 https://doi.org/10.3892/or.2011.1339 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071531452
336 rdf:type schema:CreativeWork
337 https://www.grid.ac/institutes/grid.411163.0 schema:alternateName Centre Hospitalier Universitaire de Clermont-Ferrand
338 schema:name Department of Anatomo-pathology, Gabriel Montpied Hospital, 58 rue Montalembert, 63001, Clermont-Ferrand, France
339 Department of Urology, Gabriel Montpied Hospital, 58 rue Montalembert, 63001, Clermont-Ferrand, France
340 EA 4677 "ERTICA", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France
341 rdf:type schema:Organization
342 https://www.grid.ac/institutes/grid.494717.8 schema:alternateName University of Clermont Auvergne
343 schema:name Department of Oncogenetics, Centre Jean Perrin, CBRV, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France
344 EA 4677 "ERTICA", University of Auvergne, 28 place Henri Dunant, BP 38, 63001, Clermont-Ferrand, France
345 rdf:type schema:Organization
 




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


...