A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-12

AUTHORS

Fabien Reyal, Martin H van Vliet, Nicola J Armstrong, Hugo M Horlings, Karin E de Visser, Marlen Kok, Andrew E Teschendorff, Stella Mook, Laura van 't Veer, Carlos Caldas, Remy J Salmon, Marc J van de Vijver, Lodewyk FA Wessels

ABSTRACT

INTRODUCTION: Several gene expression signatures have been proposed and demonstrated to be predictive of outcome in breast cancer. In the present article we address the following issues: Do these signatures perform similarly? Are there (common) molecular processes reported by these signatures? Can better prognostic predictors be constructed based on these identified molecular processes? METHODS: We performed a comprehensive analysis of the performance of nine gene expression signatures on seven different breast cancer datasets. To better characterize the functional processes associated with these signatures, we enlarged each signature by including all probes with a significant correlation to at least one of the genes in the original signature. The enrichment of functional groups was assessed using four ontology databases. RESULTS: The classification performance of the nine gene expression signatures is very similar in terms of assigning a sample to either a poor outcome group or a good outcome group. Nevertheless the concordance in classification at the sample level is low, with only 50% of the breast cancer samples classified in the same outcome group by all classifiers. The predictive accuracy decreases with the number of poor outcome assignments given to a sample. The best classification performance was obtained for the group of patients with only good outcome assignments. Enrichment analysis of the enlarged signatures revealed 11 functional modules with prognostic ability. The combination of the RNA-splicing and immune modules resulted in a classifier with high prognostic performance on an independent validation set. CONCLUSIONS: The study revealed that the nine signatures perform similarly but exhibit a large degree of discordance in prognostic group assignment. Functional analyses indicate that proliferation is a common cellular process, but that other functional categories are also enriched and show independent prognostic ability. We provide new evidence of the potentially promising prognostic impact of immunity and RNA-splicing processes in breast cancer. More... »

PAGES

r93

References to SciGraph publications

  • 2008-12. Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability in BMC GENOMICS
  • 2008. Gene Expression Omnibus in ENCYCLOPEDIA OF GENETICS, GENOMICS, PROTEOMICS AND INFORMATICS
  • 2002-12. Molecular portraits and the family tree of cancer in NATURE GENETICS
  • 2008. Reactome in ENCYCLOPEDIA OF GENETICS, GENOMICS, PROTEOMICS AND INFORMATICS
  • 2006-10. Gene signature evaluation as a prognostic tool: challenges in the design of the MINDACT trial in NATURE REVIEWS CLINICAL ONCOLOGY
  • 2002-01. Gene expression profiling predicts clinical outcome of breast cancer in NATURE
  • 2006-09. A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers in NATURE GENETICS
  • 2007-07. Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care? in NATURE REVIEWS CANCER
  • 2006. Gene Ontology in ENCYCLOPEDIC REFERENCE OF GENOMICS AND PROTEOMICS IN MOLECULAR MEDICINE
  • 2007-03. Transforming function of the LSM1 oncogene in human breast cancers with the 8p11–12 amplicon in ONCOGENE
  • 2006-12. The molecular portraits of breast tumors are conserved across microarray platforms in BMC GENOMICS
  • 2008. Kyoto Encyclopedia of Genes and Genomes in ENCYCLOPEDIA OF GENETICS, GENOMICS, PROTEOMICS AND INFORMATICS
  • 2005-06. A mutation-created novel intra-exonic pre-mRNA splice site causes constitutive activation of KIT in human gastrointestinal stromal tumors in ONCOGENE
  • 2008. Bioconductor in ENCYCLOPEDIA OF GENETICS, GENOMICS, PROTEOMICS AND INFORMATICS
  • 2005-07. Genes that mediate breast cancer metastasis to lung in NATURE
  • 2006-02. Common markers of proliferation in NATURE REVIEWS CANCER
  • 2006-04. A consensus prognostic gene expression classifier for ER positive breast cancer in GENOME BIOLOGY
  • 2007-08. An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer in GENOME BIOLOGY
  • 2007-12. Pathway analysis of gene signatures predicting metastasis of node-negative primary breast cancer in BMC CANCER
  • 2009-07. The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study in BREAST CANCER RESEARCH AND TREATMENT
  • 2005-12. Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts in BREAST CANCER RESEARCH
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/bcr2192

    DOI

    http://dx.doi.org/10.1186/bcr2192

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1009887926

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19014521


    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": "Breast Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Proliferation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computational Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Databases, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Profiling", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Immune System Phenomena", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prognosis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA Splicing", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Survival Rate", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Institute Curie", 
              "id": "https://www.grid.ac/institutes/grid.418596.7", 
              "name": [
                "Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands", 
                "Department of Surgery, Institut Curie, 6 rue d'Ulm, 75005, Paris, France", 
                "UMR 144, CNRS-Institut Curie, Molecular Oncology Team, 12 rue Lhomond, 75005, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Reyal", 
            "givenName": "Fabien", 
            "id": "sg:person.01104374270.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104374270.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Delft University of Technology", 
              "id": "https://www.grid.ac/institutes/grid.5292.c", 
              "name": [
                "Bioinformatics and Statistics Group, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands", 
                "Faculty of EEMCS, Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "van Vliet", 
            "givenName": "Martin H", 
            "id": "sg:person.013733154414.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013733154414.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Antoni van Leeuwenhoek Hospital", 
              "id": "https://www.grid.ac/institutes/grid.430814.a", 
              "name": [
                "Bioinformatics and Statistics Group, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Armstrong", 
            "givenName": "Nicola J", 
            "id": "sg:person.0646072333.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646072333.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Antoni van Leeuwenhoek Hospital", 
              "id": "https://www.grid.ac/institutes/grid.430814.a", 
              "name": [
                "Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Horlings", 
            "givenName": "Hugo M", 
            "id": "sg:person.01154231750.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154231750.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Antoni van Leeuwenhoek Hospital", 
              "id": "https://www.grid.ac/institutes/grid.430814.a", 
              "name": [
                "Department of Molecular Biology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "de Visser", 
            "givenName": "Karin E", 
            "id": "sg:person.01032262711.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032262711.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Antoni van Leeuwenhoek Hospital", 
              "id": "https://www.grid.ac/institutes/grid.430814.a", 
              "name": [
                "Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kok", 
            "givenName": "Marlen", 
            "id": "sg:person.01030434133.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030434133.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "Cancer Research UK, Cambridge Research Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, CB2 ORE, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Teschendorff", 
            "givenName": "Andrew E", 
            "id": "sg:person.01317257236.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317257236.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Antoni van Leeuwenhoek Hospital", 
              "id": "https://www.grid.ac/institutes/grid.430814.a", 
              "name": [
                "Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mook", 
            "givenName": "Stella", 
            "id": "sg:person.0657577707.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657577707.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Antoni van Leeuwenhoek Hospital", 
              "id": "https://www.grid.ac/institutes/grid.430814.a", 
              "name": [
                "Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "van 't Veer", 
            "givenName": "Laura", 
            "id": "sg:person.0715025702.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0715025702.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "Cancer Research UK, Cambridge Research Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, CB2 ORE, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Caldas", 
            "givenName": "Carlos", 
            "id": "sg:person.01072152660.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072152660.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute Curie", 
              "id": "https://www.grid.ac/institutes/grid.418596.7", 
              "name": [
                "UMR 144, CNRS-Institut Curie, Molecular Oncology Team, 12 rue Lhomond, 75005, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Salmon", 
            "givenName": "Remy J", 
            "id": "sg:person.0671515622.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671515622.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Academic Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.5650.6", 
              "name": [
                "Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands", 
                "Department of Pathology, Academic Medical Center, Meibergdreef 9, 1100, Amsterdam, DD, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vijver", 
            "givenName": "Marc J van de", 
            "id": "sg:person.01367247364.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367247364.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Delft University of Technology", 
              "id": "https://www.grid.ac/institutes/grid.5292.c", 
              "name": [
                "Bioinformatics and Statistics Group, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands", 
                "Faculty of EEMCS, Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wessels", 
            "givenName": "Lodewyk FA", 
            "id": "sg:person.013377553177.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013377553177.45"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-1-4020-6754-9_1773", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000708121", 
              "https://doi.org/10.1007/978-1-4020-6754-9_1773"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(05)66544-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001690029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(05)66544-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001690029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-05-4065", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001985090"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0506230102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002515049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4020-6754-9_14166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002612345", 
              "https://doi.org/10.1007/978-1-4020-6754-9_14166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2006.07.1522", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003206258"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-008-0130-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003870380", 
              "https://doi.org/10.1007/s10549-008-0130-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0409462102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004658815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2007.14.4501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006599709"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejca.2006.11.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007565891"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000092969", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007940599"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-06-2969", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010917684"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-04-3294", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011644536"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-06-2946", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012715645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-7-96", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015725266", 
              "https://doi.org/10.1186/1471-2164-7-96"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1861", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016534738", 
              "https://doi.org/10.1038/ng1861"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1861", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016534738", 
              "https://doi.org/10.1038/ng1861"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1208587", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020259602", 
              "https://doi.org/10.1038/sj.onc.1208587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1208587", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020259602", 
              "https://doi.org/10.1038/sj.onc.1208587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1208587", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020259602", 
              "https://doi.org/10.1038/sj.onc.1208587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa063994", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020881612"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1129139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021857158"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa041588", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022156409"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0601231103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022802390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/annonc/mdm271", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022949162"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr1325", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023450491", 
              "https://doi.org/10.1186/bcr1325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr1325", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023450491", 
              "https://doi.org/10.1186/bcr1325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa052933", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024869935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025486837", 
              "https://doi.org/10.1038/ng1038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025486837", 
              "https://doi.org/10.1038/ng1038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-04-1910", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029269750"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03799", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030207920", 
              "https://doi.org/10.1038/nature03799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03799", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030207920", 
              "https://doi.org/10.1038/nature03799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03799", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030207920", 
              "https://doi.org/10.1038/nature03799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03799", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030207920", 
              "https://doi.org/10.1038/nature03799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejca.2007.01.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030332655"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/djj052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030644591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-06-2765", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030779547"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1634/theoncologist.12-6-631", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033250726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncponc0591", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033935585", 
              "https://doi.org/10.1038/ncponc0591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncponc0591", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033935585", 
              "https://doi.org/10.1038/ncponc0591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc2173", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034411467", 
              "https://doi.org/10.1038/nrc2173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ccr.2006.10.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036376828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4020-6754-9_9131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037474025", 
              "https://doi.org/10.1007/978-1-4020-6754-9_9131"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-29623-9_7146", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037739161", 
              "https://doi.org/10.1007/3-540-29623-9_7146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1210002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038135780", 
              "https://doi.org/10.1038/sj.onc.1210002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1210002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038135780", 
              "https://doi.org/10.1038/sj.onc.1210002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa021967", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038600096"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bies.20390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040863926"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bies.20390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040863926"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1470-2045(07)70104-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041008838"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/415530a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043001094", 
              "https://doi.org/10.1038/415530a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/415530a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043001094", 
              "https://doi.org/10.1038/415530a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2407-7-182", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043389517", 
              "https://doi.org/10.1186/1471-2407-7-182"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cmpb.2007.05.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045988008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc1802", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046303336", 
              "https://doi.org/10.1038/nrc1802"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc1802", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046303336", 
              "https://doi.org/10.1038/nrc1802"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/93.13.979", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046509223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(05)17947-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047788005"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2006-7-10-r101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049083057", 
              "https://doi.org/10.1186/gb-2006-7-10-r101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4020-6754-9_6552", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051155383", 
              "https://doi.org/10.1007/978-1-4020-6754-9_6552"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/djj329", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051338771"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-9-375", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051350612", 
              "https://doi.org/10.1186/1471-2164-9-375"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.0006-341x.2000.00249.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052246493"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2007-8-8-r157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052735338", 
              "https://doi.org/10.1186/gb-2007-8-8-r157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/301768", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058609375"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2001.19.4.980", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074754816"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008-12", 
        "datePublishedReg": "2008-12-01", 
        "description": "INTRODUCTION: Several gene expression signatures have been proposed and demonstrated to be predictive of outcome in breast cancer. In the present article we address the following issues: Do these signatures perform similarly? Are there (common) molecular processes reported by these signatures? Can better prognostic predictors be constructed based on these identified molecular processes?\nMETHODS: We performed a comprehensive analysis of the performance of nine gene expression signatures on seven different breast cancer datasets. To better characterize the functional processes associated with these signatures, we enlarged each signature by including all probes with a significant correlation to at least one of the genes in the original signature. The enrichment of functional groups was assessed using four ontology databases.\nRESULTS: The classification performance of the nine gene expression signatures is very similar in terms of assigning a sample to either a poor outcome group or a good outcome group. Nevertheless the concordance in classification at the sample level is low, with only 50% of the breast cancer samples classified in the same outcome group by all classifiers. The predictive accuracy decreases with the number of poor outcome assignments given to a sample. The best classification performance was obtained for the group of patients with only good outcome assignments. Enrichment analysis of the enlarged signatures revealed 11 functional modules with prognostic ability. The combination of the RNA-splicing and immune modules resulted in a classifier with high prognostic performance on an independent validation set.\nCONCLUSIONS: The study revealed that the nine signatures perform similarly but exhibit a large degree of discordance in prognostic group assignment. Functional analyses indicate that proliferation is a common cellular process, but that other functional categories are also enriched and show independent prognostic ability. We provide new evidence of the potentially promising prognostic impact of immunity and RNA-splicing processes in breast cancer.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/bcr2192", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1022375", 
            "issn": [
              "1465-5411", 
              "1465-542X"
            ], 
            "name": "Breast Cancer Research", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "10"
          }
        ], 
        "name": "A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancer", 
        "pagination": "r93", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "2f1ae29c55ede580a81018e0331356ff3c50855ff0d7ab57604bdd5ab8d36513"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "19014521"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100927353"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/bcr2192"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1009887926"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/bcr2192", 
          "https://app.dimensions.ai/details/publication/pub.1009887926"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T23:23", 
        "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_8693_00000510.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2Fbcr2192"
      }
    ]
     

    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/bcr2192'

    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/bcr2192'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/bcr2192'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/bcr2192'


     

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

    398 TRIPLES      21 PREDICATES      94 URIs      32 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/bcr2192 schema:about N02d837192e474d3181fbed3e7ca75e56
    2 N1fdca01fb9604259953811891d11ec20
    3 N2a9a62639b8c4c7093128d5cfeda5d50
    4 N647a75fa491b4a17908730ae7cce1e5f
    5 N75a094ccf27243efbb06d519a9902cc3
    6 N763cf5d60b4e4279b6536c99c02f8fc5
    7 Nbbe728b95211480a84b984c0f7fc2165
    8 Ncd0bae9c50ba4637b6e36b60bac8de97
    9 Nd86e805216584455a3ccde3c45b6673e
    10 Ndb6e911c54fb48f1a10fcf7cdd0c8ed2
    11 Ndb9d60e7cd7b48589dea6414e9216282
    12 anzsrc-for:11
    13 anzsrc-for:1112
    14 schema:author Nc03f0a18cc4b454a82c7b5ac2c0e0e5f
    15 schema:citation sg:pub.10.1007/3-540-29623-9_7146
    16 sg:pub.10.1007/978-1-4020-6754-9_14166
    17 sg:pub.10.1007/978-1-4020-6754-9_1773
    18 sg:pub.10.1007/978-1-4020-6754-9_6552
    19 sg:pub.10.1007/978-1-4020-6754-9_9131
    20 sg:pub.10.1007/s10549-008-0130-2
    21 sg:pub.10.1038/415530a
    22 sg:pub.10.1038/nature03799
    23 sg:pub.10.1038/ncponc0591
    24 sg:pub.10.1038/ng1038
    25 sg:pub.10.1038/ng1861
    26 sg:pub.10.1038/nrc1802
    27 sg:pub.10.1038/nrc2173
    28 sg:pub.10.1038/sj.onc.1208587
    29 sg:pub.10.1038/sj.onc.1210002
    30 sg:pub.10.1186/1471-2164-7-96
    31 sg:pub.10.1186/1471-2164-9-375
    32 sg:pub.10.1186/1471-2407-7-182
    33 sg:pub.10.1186/bcr1325
    34 sg:pub.10.1186/gb-2006-7-10-r101
    35 sg:pub.10.1186/gb-2007-8-8-r157
    36 https://doi.org/10.1002/bies.20390
    37 https://doi.org/10.1016/j.ccr.2006.10.009
    38 https://doi.org/10.1016/j.cmpb.2007.05.009
    39 https://doi.org/10.1016/j.ejca.2006.11.018
    40 https://doi.org/10.1016/j.ejca.2007.01.016
    41 https://doi.org/10.1016/s0140-6736(05)17947-1
    42 https://doi.org/10.1016/s0140-6736(05)66544-0
    43 https://doi.org/10.1016/s1470-2045(07)70104-3
    44 https://doi.org/10.1056/nejmoa021967
    45 https://doi.org/10.1056/nejmoa041588
    46 https://doi.org/10.1056/nejmoa052933
    47 https://doi.org/10.1056/nejmoa063994
    48 https://doi.org/10.1073/pnas.0409462102
    49 https://doi.org/10.1073/pnas.0506230102
    50 https://doi.org/10.1073/pnas.0601231103
    51 https://doi.org/10.1086/301768
    52 https://doi.org/10.1093/annonc/mdm271
    53 https://doi.org/10.1093/jnci/93.13.979
    54 https://doi.org/10.1093/jnci/djj052
    55 https://doi.org/10.1093/jnci/djj329
    56 https://doi.org/10.1111/j.0006-341x.2000.00249.x
    57 https://doi.org/10.1126/science.1129139
    58 https://doi.org/10.1158/0008-5472.can-04-1910
    59 https://doi.org/10.1158/0008-5472.can-04-3294
    60 https://doi.org/10.1158/0008-5472.can-05-4065
    61 https://doi.org/10.1158/0008-5472.can-06-2946
    62 https://doi.org/10.1158/0008-5472.can-06-2969
    63 https://doi.org/10.1158/1078-0432.ccr-06-2765
    64 https://doi.org/10.1159/000092969
    65 https://doi.org/10.1200/jco.2001.19.4.980
    66 https://doi.org/10.1200/jco.2006.07.1522
    67 https://doi.org/10.1200/jco.2007.14.4501
    68 https://doi.org/10.1634/theoncologist.12-6-631
    69 schema:datePublished 2008-12
    70 schema:datePublishedReg 2008-12-01
    71 schema:description INTRODUCTION: Several gene expression signatures have been proposed and demonstrated to be predictive of outcome in breast cancer. In the present article we address the following issues: Do these signatures perform similarly? Are there (common) molecular processes reported by these signatures? Can better prognostic predictors be constructed based on these identified molecular processes? METHODS: We performed a comprehensive analysis of the performance of nine gene expression signatures on seven different breast cancer datasets. To better characterize the functional processes associated with these signatures, we enlarged each signature by including all probes with a significant correlation to at least one of the genes in the original signature. The enrichment of functional groups was assessed using four ontology databases. RESULTS: The classification performance of the nine gene expression signatures is very similar in terms of assigning a sample to either a poor outcome group or a good outcome group. Nevertheless the concordance in classification at the sample level is low, with only 50% of the breast cancer samples classified in the same outcome group by all classifiers. The predictive accuracy decreases with the number of poor outcome assignments given to a sample. The best classification performance was obtained for the group of patients with only good outcome assignments. Enrichment analysis of the enlarged signatures revealed 11 functional modules with prognostic ability. The combination of the RNA-splicing and immune modules resulted in a classifier with high prognostic performance on an independent validation set. CONCLUSIONS: The study revealed that the nine signatures perform similarly but exhibit a large degree of discordance in prognostic group assignment. Functional analyses indicate that proliferation is a common cellular process, but that other functional categories are also enriched and show independent prognostic ability. We provide new evidence of the potentially promising prognostic impact of immunity and RNA-splicing processes in breast cancer.
    72 schema:genre research_article
    73 schema:inLanguage en
    74 schema:isAccessibleForFree true
    75 schema:isPartOf N7894677aaaef40bc8cff5ea1701882fb
    76 N8c9d0f533b6c46a990dcb4fb75a0ae6d
    77 sg:journal.1022375
    78 schema:name A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancer
    79 schema:pagination r93
    80 schema:productId N12844f252fae4f00a618401ec916f70e
    81 N1def0e69b6cb4a1cbc1b0087e16bcb88
    82 N2af3f58a59cb4869a56fc1265f7e3412
    83 Nc3e2e682fe574228a2f90e275c56db54
    84 Nf3ded09f9a394268b98fa2261db278cb
    85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009887926
    86 https://doi.org/10.1186/bcr2192
    87 schema:sdDatePublished 2019-04-10T23:23
    88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    89 schema:sdPublisher N6303094c504449da99ba21ff72ccf205
    90 schema:url http://link.springer.com/10.1186%2Fbcr2192
    91 sgo:license sg:explorer/license/
    92 sgo:sdDataset articles
    93 rdf:type schema:ScholarlyArticle
    94 N02d837192e474d3181fbed3e7ca75e56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    95 schema:name Gene Expression Profiling
    96 rdf:type schema:DefinedTerm
    97 N12844f252fae4f00a618401ec916f70e schema:name pubmed_id
    98 schema:value 19014521
    99 rdf:type schema:PropertyValue
    100 N13d8817f605a44d5bfb0aa042b3972dd rdf:first sg:person.0715025702.14
    101 rdf:rest N4ff9c6069a7f4961b68a391cb2ab596f
    102 N1def0e69b6cb4a1cbc1b0087e16bcb88 schema:name dimensions_id
    103 schema:value pub.1009887926
    104 rdf:type schema:PropertyValue
    105 N1e87db91d1424d05bb8a6b5cce3386e4 rdf:first sg:person.01317257236.92
    106 rdf:rest Nbc2990e18ba3410b83dc57666bf7fd8a
    107 N1fdca01fb9604259953811891d11ec20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Breast Neoplasms
    109 rdf:type schema:DefinedTerm
    110 N2a5d9d9a625649b5aa4e30bf5d8ba44c rdf:first sg:person.0646072333.32
    111 rdf:rest Nb3c60730fb71495a9edd657a412a5427
    112 N2a9a62639b8c4c7093128d5cfeda5d50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    113 schema:name Cell Proliferation
    114 rdf:type schema:DefinedTerm
    115 N2af3f58a59cb4869a56fc1265f7e3412 schema:name readcube_id
    116 schema:value 2f1ae29c55ede580a81018e0331356ff3c50855ff0d7ab57604bdd5ab8d36513
    117 rdf:type schema:PropertyValue
    118 N4ff9c6069a7f4961b68a391cb2ab596f rdf:first sg:person.01072152660.47
    119 rdf:rest Ne0188cd050ca49198f7d360ac64852c7
    120 N5bfd0b818b0644758132881d2d0febca rdf:first sg:person.01030434133.46
    121 rdf:rest N1e87db91d1424d05bb8a6b5cce3386e4
    122 N6303094c504449da99ba21ff72ccf205 schema:name Springer Nature - SN SciGraph project
    123 rdf:type schema:Organization
    124 N647a75fa491b4a17908730ae7cce1e5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name Prognosis
    126 rdf:type schema:DefinedTerm
    127 N75a094ccf27243efbb06d519a9902cc3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Humans
    129 rdf:type schema:DefinedTerm
    130 N763cf5d60b4e4279b6536c99c02f8fc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name RNA Splicing
    132 rdf:type schema:DefinedTerm
    133 N7894677aaaef40bc8cff5ea1701882fb schema:issueNumber 6
    134 rdf:type schema:PublicationIssue
    135 N7a87d1407563487ab01ef9e7c3391bd0 rdf:first sg:person.01032262711.56
    136 rdf:rest N5bfd0b818b0644758132881d2d0febca
    137 N8c9d0f533b6c46a990dcb4fb75a0ae6d schema:volumeNumber 10
    138 rdf:type schema:PublicationVolume
    139 N9cd06b8e382a48dcb5b9d32303d0c311 rdf:first sg:person.013733154414.46
    140 rdf:rest N2a5d9d9a625649b5aa4e30bf5d8ba44c
    141 Nb3c60730fb71495a9edd657a412a5427 rdf:first sg:person.01154231750.22
    142 rdf:rest N7a87d1407563487ab01ef9e7c3391bd0
    143 Nb6d72ab478bf4880a210b8b18602d3b1 rdf:first sg:person.01367247364.80
    144 rdf:rest Nce03f0f27a0e4a5bac47d3c3e030cc1e
    145 Nbbe728b95211480a84b984c0f7fc2165 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Immune System Phenomena
    147 rdf:type schema:DefinedTerm
    148 Nbc2990e18ba3410b83dc57666bf7fd8a rdf:first sg:person.0657577707.20
    149 rdf:rest N13d8817f605a44d5bfb0aa042b3972dd
    150 Nc03f0a18cc4b454a82c7b5ac2c0e0e5f rdf:first sg:person.01104374270.94
    151 rdf:rest N9cd06b8e382a48dcb5b9d32303d0c311
    152 Nc3e2e682fe574228a2f90e275c56db54 schema:name nlm_unique_id
    153 schema:value 100927353
    154 rdf:type schema:PropertyValue
    155 Ncd0bae9c50ba4637b6e36b60bac8de97 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Survival Rate
    157 rdf:type schema:DefinedTerm
    158 Nce03f0f27a0e4a5bac47d3c3e030cc1e rdf:first sg:person.013377553177.45
    159 rdf:rest rdf:nil
    160 Nd86e805216584455a3ccde3c45b6673e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Female
    162 rdf:type schema:DefinedTerm
    163 Ndb6e911c54fb48f1a10fcf7cdd0c8ed2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Computational Biology
    165 rdf:type schema:DefinedTerm
    166 Ndb9d60e7cd7b48589dea6414e9216282 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Databases, Genetic
    168 rdf:type schema:DefinedTerm
    169 Ne0188cd050ca49198f7d360ac64852c7 rdf:first sg:person.0671515622.94
    170 rdf:rest Nb6d72ab478bf4880a210b8b18602d3b1
    171 Nf3ded09f9a394268b98fa2261db278cb schema:name doi
    172 schema:value 10.1186/bcr2192
    173 rdf:type schema:PropertyValue
    174 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    175 schema:name Medical and Health Sciences
    176 rdf:type schema:DefinedTerm
    177 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    178 schema:name Oncology and Carcinogenesis
    179 rdf:type schema:DefinedTerm
    180 sg:journal.1022375 schema:issn 1465-5411
    181 1465-542X
    182 schema:name Breast Cancer Research
    183 rdf:type schema:Periodical
    184 sg:person.01030434133.46 schema:affiliation https://www.grid.ac/institutes/grid.430814.a
    185 schema:familyName Kok
    186 schema:givenName Marlen
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030434133.46
    188 rdf:type schema:Person
    189 sg:person.01032262711.56 schema:affiliation https://www.grid.ac/institutes/grid.430814.a
    190 schema:familyName de Visser
    191 schema:givenName Karin E
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032262711.56
    193 rdf:type schema:Person
    194 sg:person.01072152660.47 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    195 schema:familyName Caldas
    196 schema:givenName Carlos
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072152660.47
    198 rdf:type schema:Person
    199 sg:person.01104374270.94 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
    200 schema:familyName Reyal
    201 schema:givenName Fabien
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104374270.94
    203 rdf:type schema:Person
    204 sg:person.01154231750.22 schema:affiliation https://www.grid.ac/institutes/grid.430814.a
    205 schema:familyName Horlings
    206 schema:givenName Hugo M
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154231750.22
    208 rdf:type schema:Person
    209 sg:person.01317257236.92 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    210 schema:familyName Teschendorff
    211 schema:givenName Andrew E
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317257236.92
    213 rdf:type schema:Person
    214 sg:person.013377553177.45 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
    215 schema:familyName Wessels
    216 schema:givenName Lodewyk FA
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013377553177.45
    218 rdf:type schema:Person
    219 sg:person.01367247364.80 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
    220 schema:familyName Vijver
    221 schema:givenName Marc J van de
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367247364.80
    223 rdf:type schema:Person
    224 sg:person.013733154414.46 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
    225 schema:familyName van Vliet
    226 schema:givenName Martin H
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013733154414.46
    228 rdf:type schema:Person
    229 sg:person.0646072333.32 schema:affiliation https://www.grid.ac/institutes/grid.430814.a
    230 schema:familyName Armstrong
    231 schema:givenName Nicola J
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646072333.32
    233 rdf:type schema:Person
    234 sg:person.0657577707.20 schema:affiliation https://www.grid.ac/institutes/grid.430814.a
    235 schema:familyName Mook
    236 schema:givenName Stella
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657577707.20
    238 rdf:type schema:Person
    239 sg:person.0671515622.94 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
    240 schema:familyName Salmon
    241 schema:givenName Remy J
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671515622.94
    243 rdf:type schema:Person
    244 sg:person.0715025702.14 schema:affiliation https://www.grid.ac/institutes/grid.430814.a
    245 schema:familyName van 't Veer
    246 schema:givenName Laura
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0715025702.14
    248 rdf:type schema:Person
    249 sg:pub.10.1007/3-540-29623-9_7146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037739161
    250 https://doi.org/10.1007/3-540-29623-9_7146
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1007/978-1-4020-6754-9_14166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002612345
    253 https://doi.org/10.1007/978-1-4020-6754-9_14166
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1007/978-1-4020-6754-9_1773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000708121
    256 https://doi.org/10.1007/978-1-4020-6754-9_1773
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1007/978-1-4020-6754-9_6552 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051155383
    259 https://doi.org/10.1007/978-1-4020-6754-9_6552
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1007/978-1-4020-6754-9_9131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037474025
    262 https://doi.org/10.1007/978-1-4020-6754-9_9131
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1007/s10549-008-0130-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003870380
    265 https://doi.org/10.1007/s10549-008-0130-2
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1038/415530a schema:sameAs https://app.dimensions.ai/details/publication/pub.1043001094
    268 https://doi.org/10.1038/415530a
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1038/nature03799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030207920
    271 https://doi.org/10.1038/nature03799
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1038/ncponc0591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033935585
    274 https://doi.org/10.1038/ncponc0591
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1038/ng1038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025486837
    277 https://doi.org/10.1038/ng1038
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1038/ng1861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016534738
    280 https://doi.org/10.1038/ng1861
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1038/nrc1802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046303336
    283 https://doi.org/10.1038/nrc1802
    284 rdf:type schema:CreativeWork
    285 sg:pub.10.1038/nrc2173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034411467
    286 https://doi.org/10.1038/nrc2173
    287 rdf:type schema:CreativeWork
    288 sg:pub.10.1038/sj.onc.1208587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020259602
    289 https://doi.org/10.1038/sj.onc.1208587
    290 rdf:type schema:CreativeWork
    291 sg:pub.10.1038/sj.onc.1210002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038135780
    292 https://doi.org/10.1038/sj.onc.1210002
    293 rdf:type schema:CreativeWork
    294 sg:pub.10.1186/1471-2164-7-96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015725266
    295 https://doi.org/10.1186/1471-2164-7-96
    296 rdf:type schema:CreativeWork
    297 sg:pub.10.1186/1471-2164-9-375 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051350612
    298 https://doi.org/10.1186/1471-2164-9-375
    299 rdf:type schema:CreativeWork
    300 sg:pub.10.1186/1471-2407-7-182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043389517
    301 https://doi.org/10.1186/1471-2407-7-182
    302 rdf:type schema:CreativeWork
    303 sg:pub.10.1186/bcr1325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023450491
    304 https://doi.org/10.1186/bcr1325
    305 rdf:type schema:CreativeWork
    306 sg:pub.10.1186/gb-2006-7-10-r101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049083057
    307 https://doi.org/10.1186/gb-2006-7-10-r101
    308 rdf:type schema:CreativeWork
    309 sg:pub.10.1186/gb-2007-8-8-r157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052735338
    310 https://doi.org/10.1186/gb-2007-8-8-r157
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1002/bies.20390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040863926
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1016/j.ccr.2006.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036376828
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1016/j.cmpb.2007.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045988008
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1016/j.ejca.2006.11.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007565891
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1016/j.ejca.2007.01.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030332655
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.1016/s0140-6736(05)17947-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047788005
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.1016/s0140-6736(05)66544-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001690029
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.1016/s1470-2045(07)70104-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041008838
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.1056/nejmoa021967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038600096
    329 rdf:type schema:CreativeWork
    330 https://doi.org/10.1056/nejmoa041588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022156409
    331 rdf:type schema:CreativeWork
    332 https://doi.org/10.1056/nejmoa052933 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024869935
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1056/nejmoa063994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020881612
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1073/pnas.0409462102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004658815
    337 rdf:type schema:CreativeWork
    338 https://doi.org/10.1073/pnas.0506230102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002515049
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.1073/pnas.0601231103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022802390
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.1086/301768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058609375
    343 rdf:type schema:CreativeWork
    344 https://doi.org/10.1093/annonc/mdm271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022949162
    345 rdf:type schema:CreativeWork
    346 https://doi.org/10.1093/jnci/93.13.979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046509223
    347 rdf:type schema:CreativeWork
    348 https://doi.org/10.1093/jnci/djj052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030644591
    349 rdf:type schema:CreativeWork
    350 https://doi.org/10.1093/jnci/djj329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051338771
    351 rdf:type schema:CreativeWork
    352 https://doi.org/10.1111/j.0006-341x.2000.00249.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052246493
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.1126/science.1129139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021857158
    355 rdf:type schema:CreativeWork
    356 https://doi.org/10.1158/0008-5472.can-04-1910 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029269750
    357 rdf:type schema:CreativeWork
    358 https://doi.org/10.1158/0008-5472.can-04-3294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011644536
    359 rdf:type schema:CreativeWork
    360 https://doi.org/10.1158/0008-5472.can-05-4065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001985090
    361 rdf:type schema:CreativeWork
    362 https://doi.org/10.1158/0008-5472.can-06-2946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012715645
    363 rdf:type schema:CreativeWork
    364 https://doi.org/10.1158/0008-5472.can-06-2969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010917684
    365 rdf:type schema:CreativeWork
    366 https://doi.org/10.1158/1078-0432.ccr-06-2765 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030779547
    367 rdf:type schema:CreativeWork
    368 https://doi.org/10.1159/000092969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007940599
    369 rdf:type schema:CreativeWork
    370 https://doi.org/10.1200/jco.2001.19.4.980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074754816
    371 rdf:type schema:CreativeWork
    372 https://doi.org/10.1200/jco.2006.07.1522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003206258
    373 rdf:type schema:CreativeWork
    374 https://doi.org/10.1200/jco.2007.14.4501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006599709
    375 rdf:type schema:CreativeWork
    376 https://doi.org/10.1634/theoncologist.12-6-631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033250726
    377 rdf:type schema:CreativeWork
    378 https://www.grid.ac/institutes/grid.418596.7 schema:alternateName Institute Curie
    379 schema:name Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands
    380 Department of Surgery, Institut Curie, 6 rue d'Ulm, 75005, Paris, France
    381 UMR 144, CNRS-Institut Curie, Molecular Oncology Team, 12 rue Lhomond, 75005, Paris, France
    382 rdf:type schema:Organization
    383 https://www.grid.ac/institutes/grid.430814.a schema:alternateName Antoni van Leeuwenhoek Hospital
    384 schema:name Bioinformatics and Statistics Group, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands
    385 Department of Molecular Biology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands
    386 Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands
    387 rdf:type schema:Organization
    388 https://www.grid.ac/institutes/grid.5292.c schema:alternateName Delft University of Technology
    389 schema:name Bioinformatics and Statistics Group, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands
    390 Faculty of EEMCS, Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands
    391 rdf:type schema:Organization
    392 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
    393 schema:name Cancer Research UK, Cambridge Research Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, CB2 ORE, Cambridge, UK
    394 rdf:type schema:Organization
    395 https://www.grid.ac/institutes/grid.5650.6 schema:alternateName Academic Medical Center
    396 schema:name Department of Pathology, Academic Medical Center, Meibergdreef 9, 1100, Amsterdam, DD, The Netherlands
    397 Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, Amsterdam, CX, The Netherlands
    398 rdf:type schema:Organization
     




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


    ...