Identification of prognostically relevant and reproducible subsets of endometrial adenocarcinoma based on clustering analysis of immunostaining data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-11

AUTHORS

Abdulmohsen Alkushi, Blaise A Clarke, Majid Akbari, Nikita Makretsov, Peter Lim, Dianne Miller, Anthony Magliocco, Andrew Coldman, Matt van de Rijn, David Huntsman, Robin Parker, C Blake Gilks

ABSTRACT

Panels of immunomarkers can provide greater information than single markers, but the problem of how to optimally interpret data from multiple immunomarkers is unresolved. We examined the expression profile of 12 immunomarkers in 200 endometrial carcinomas using a tissue microarray. The outcomes of groups of patients were analyzed by using the Kaplan-Meier method, using the log-rank statistic for comparison of survival curves. Correlation between clustering results and traditional prognosticators of endometrial carcinoma was examined by either Fisher's exact test or chi2-test. Multivariate analysis was performed using a proportional hazards method (Cox regression modeling). Seven of the 12 immunomarkers studied showed prognostic significance in univariate analysis (P<0.05) and 1 marker showed a trend toward significance (P=0.06). These eight markers were used in unsupervised hierarchical clustering of the cases, and resulted in identification of three cluster groups. There was a statistically significant difference in patient survival between these cluster groups (P=0.0001). The prognostic significance of the cluster groups was independent of tumor stage and patient age on multivariate analysis (P=0.014), but was not of independent significance when either tumor grade or cell type was added to the model. The cluster group designation was strongly correlated with tumor grade, stage, and cell type (P<0.0001 for each). Interlaboratory reproducibility of subclassification of endometrial adenocarcinoma by hierarchical clustering analysis was verified by showing highly reproducible assignment of individual cases to specific cluster groups when the immunostaining was performed, interpreted, and clustered in a second laboratory (kappa=0.79, concordance rate=89.6%). Unsupervised hierarchical clustering of immunostaining data identifies prognostically relevant subsets of endometrial adenocarcinoma. Such analysis is reproducible, showing less interobserver variability than histopathological assessment of tumor cell type or grade. More... »

PAGES

3800950

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/modpathol.3800950

DOI

http://dx.doi.org/10.1038/modpathol.3800950

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029339169

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17717550


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenocarcinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endometrial Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Immunohistochemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kaplan-Meier Estimate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tissue Array Analysis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "King Abdulaziz Medical City", 
          "id": "https://www.grid.ac/institutes/grid.415254.3", 
          "name": [
            "Department of Pathology, King Fahad National Guard Hospital, Riyadh, Saudi Arabia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alkushi", 
        "givenName": "Abdulmohsen", 
        "id": "sg:person.01303272661.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303272661.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Research Centre, Department of Pathology, Vancouver General Hospital and British Columbia Cancer Agency, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Clarke", 
        "givenName": "Blaise A", 
        "id": "sg:person.01307633305.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307633305.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Calgary", 
          "id": "https://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Pathology, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Akbari", 
        "givenName": "Majid", 
        "id": "sg:person.01124144051.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124144051.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Research Centre, Department of Pathology, Vancouver General Hospital and British Columbia Cancer Agency, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Makretsov", 
        "givenName": "Nikita", 
        "id": "sg:person.0635261454.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635261454.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Department of Radiation Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lim", 
        "givenName": "Peter", 
        "id": "sg:person.0645346432.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645346432.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Department of Gynecologic Oncology and Gynecology Tumour Group, British Columbia Cancer Agency, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miller", 
        "givenName": "Dianne", 
        "id": "sg:person.011077447057.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011077447057.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Calgary", 
          "id": "https://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Pathology, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Magliocco", 
        "givenName": "Anthony", 
        "id": "sg:person.01201666717.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201666717.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Population and Preventive Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coldman", 
        "givenName": "Andrew", 
        "id": "sg:person.01367442701.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367442701.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stanford Medicine", 
          "id": "https://www.grid.ac/institutes/grid.240952.8", 
          "name": [
            "Department of Pathology, Stanford University Medical Center, Stanford, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van de Rijn", 
        "givenName": "Matt", 
        "id": "sg:person.0737427052.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737427052.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Research Centre, Department of Pathology, Vancouver General Hospital and British Columbia Cancer Agency, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huntsman", 
        "givenName": "David", 
        "id": "sg:person.015140454124.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015140454124.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Calgary", 
          "id": "https://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Pathology, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parker", 
        "givenName": "Robin", 
        "id": "sg:person.01025757505.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025757505.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Research Centre, Department of Pathology, Vancouver General Hospital and British Columbia Cancer Agency, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gilks", 
        "givenName": "C Blake", 
        "id": "sg:person.01120560217.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120560217.98"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/00000478-199206000-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000834245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-199206000-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000834245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9440(10)64434-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000958293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.pgp.0000070850.25718.a5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002417494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.pgp.0000070850.25718.a5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002417494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(20000215)88:4<814::aid-cncr12>3.0.co;2-u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003325600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2004.02.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004018900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9378(91)90615-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004296427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004347-200404000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005448439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004347-200404000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005448439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1634/theoncologist.5-6-510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007437883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0932692100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007535956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.pas.0000152129.81363.d2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008778200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.pas.0000152129.81363.d2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008778200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.20040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009640019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19911115)68:10<2303::aid-cncr2820681033>3.0.co;2-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009917107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35000501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010898206", 
          "https://doi.org/10.1038/35000501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35000501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010898206", 
          "https://doi.org/10.1038/35000501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0090-8258(89)90027-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011968091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0215(19980417)79:2<153::aid-ijc10>3.0.co;2-b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012002630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0090-8258(83)90111-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012264639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/erc.0.0100203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013016361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/erc.0.0100203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013016361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/hupa.2001.25929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015084247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19950101)75:1<81::aid-cncr2820750114>3.0.co;2-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016150979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-04-0633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017412385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3800347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019257158", 
          "https://doi.org/10.1038/modpathol.3800347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3800347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019257158", 
          "https://doi.org/10.1038/modpathol.3800347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00129039-200409000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020731309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00129039-200409000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020731309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00129039-200409000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020731309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.25.14863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020882317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0301-2115(02)00104-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021385471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcp/94.3.255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022024982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.241500798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022053203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa041588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022156409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/01.mp.0000039571.02827.ce", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023047044", 
          "https://doi.org/10.1097/01.mp.0000039571.02827.ce"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-200009000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025225907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-200009000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025225907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0090-8258(92)90130-b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026020105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.21308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027689264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.21308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027689264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004347-199607000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028370591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004347-199607000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028370591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/canjclin.50.1.7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029345645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19940915)74:6<1778::aid-cncr2820740621>3.0.co;2-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029644423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035627673", 
          "https://doi.org/10.1038/modpathol.3880051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035627673", 
          "https://doi.org/10.1038/modpathol.3880051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00019606-200303000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036797331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00019606-200303000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036797331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1699-0463.1995.tb01399.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039715529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1699-0463.1995.tb01399.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039715529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.21004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039744402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2005.07.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040861030"
        ], 
        "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": "https://doi.org/10.1158/1078-0432.ccr-04-0429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045344967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/gyno.1999.5422", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047544411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048997891", 
          "https://doi.org/10.1038/modpathol.3880531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048997891", 
          "https://doi.org/10.1038/modpathol.3880531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0020108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050418449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/gyno.1993.1211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051336067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1309/pef8-gl6f-ywmc-ag56", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052001167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/gyno.2000.5751", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053277595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-199810000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060122690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-199810000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060122690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000478-199810000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060122690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-002-0752-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075255277", 
          "https://doi.org/10.1007/s00428-002-0752-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077006548", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083215411", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083366876", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-11", 
    "datePublishedReg": "2007-11-01", 
    "description": "Panels of immunomarkers can provide greater information than single markers, but the problem of how to optimally interpret data from multiple immunomarkers is unresolved. We examined the expression profile of 12 immunomarkers in 200 endometrial carcinomas using a tissue microarray. The outcomes of groups of patients were analyzed by using the Kaplan-Meier method, using the log-rank statistic for comparison of survival curves. Correlation between clustering results and traditional prognosticators of endometrial carcinoma was examined by either Fisher's exact test or chi2-test. Multivariate analysis was performed using a proportional hazards method (Cox regression modeling). Seven of the 12 immunomarkers studied showed prognostic significance in univariate analysis (P<0.05) and 1 marker showed a trend toward significance (P=0.06). These eight markers were used in unsupervised hierarchical clustering of the cases, and resulted in identification of three cluster groups. There was a statistically significant difference in patient survival between these cluster groups (P=0.0001). The prognostic significance of the cluster groups was independent of tumor stage and patient age on multivariate analysis (P=0.014), but was not of independent significance when either tumor grade or cell type was added to the model. The cluster group designation was strongly correlated with tumor grade, stage, and cell type (P<0.0001 for each). Interlaboratory reproducibility of subclassification of endometrial adenocarcinoma by hierarchical clustering analysis was verified by showing highly reproducible assignment of individual cases to specific cluster groups when the immunostaining was performed, interpreted, and clustered in a second laboratory (kappa=0.79, concordance rate=89.6%). Unsupervised hierarchical clustering of immunostaining data identifies prognostically relevant subsets of endometrial adenocarcinoma. Such analysis is reproducible, showing less interobserver variability than histopathological assessment of tumor cell type or grade.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/modpathol.3800950", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1098208", 
        "issn": [
          "0893-3952", 
          "1530-0285"
        ], 
        "name": "Modern Pathology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Identification of prognostically relevant and reproducible subsets of endometrial adenocarcinoma based on clustering analysis of immunostaining data", 
    "pagination": "3800950", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8bc46967ea1582bfa4ec694e05eab053a9dfc6ed24363bf72434be89456eb763"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17717550"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8806605"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/modpathol.3800950"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029339169"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/modpathol.3800950", 
      "https://app.dimensions.ai/details/publication/pub.1029339169"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:45", 
    "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_8681_00000425.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/3800950"
  }
]
 

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.10.1038/modpathol.3800950'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/modpathol.3800950'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/modpathol.3800950'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/modpathol.3800950'


 

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

394 TRIPLES      21 PREDICATES      100 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/modpathol.3800950 schema:about N0f85f63a586d467da94aa1483eed50f7
2 N153c697efa0f448481f1df06365caa9e
3 N2743642a58e84cecb550b81c01f25a0a
4 N35660beaf6f84d418f96bafc6df422f3
5 N4233e7f1ba87447597ae445aea3bfe73
6 N5536dd8a8ac24ebd8101fe2bbe62dac2
7 N5ea1c9f3f7a14082921d9c629fbb5391
8 N62a1e3d74903462ba4f92a6d3d328846
9 N73b5606e6feb4777b62cfc16e61c65d4
10 N7e68da9741c243d8904749d661226c00
11 N83e3599ee1894e8c9d59df2fb64ab23a
12 N848b75e2b600434f81ec5301c2f8c780
13 Nad129e3675354610af073f631b1764d4
14 Nb40f625bbf3844ed82d8382d5e7c97f8
15 Nce7ed41d13e5478e862702dc69559e29
16 Nd8f2410bad6b45f5a69c0b89c45728ff
17 Ne1f48da79c3f4e02a6e8dd6ecc6fada6
18 Nede7020dfc53488fb477af44bc0bff9d
19 Nfe4def12e25042979e29b4824bcccd95
20 anzsrc-for:08
21 anzsrc-for:0801
22 schema:author N98deb02c1ac742ee866f0bd766cf80ef
23 schema:citation sg:pub.10.1007/s00428-002-0752-4
24 sg:pub.10.1038/35000501
25 sg:pub.10.1038/415530a
26 sg:pub.10.1038/modpathol.3800347
27 sg:pub.10.1038/modpathol.3880051
28 sg:pub.10.1038/modpathol.3880531
29 sg:pub.10.1097/01.mp.0000039571.02827.ce
30 https://app.dimensions.ai/details/publication/pub.1077006548
31 https://app.dimensions.ai/details/publication/pub.1083215411
32 https://app.dimensions.ai/details/publication/pub.1083366876
33 https://doi.org/10.1002/(sici)1097-0142(20000215)88:4<814::aid-cncr12>3.0.co;2-u
34 https://doi.org/10.1002/(sici)1097-0215(19980417)79:2<153::aid-ijc10>3.0.co;2-b
35 https://doi.org/10.1002/1097-0142(19911115)68:10<2303::aid-cncr2820681033>3.0.co;2-y
36 https://doi.org/10.1002/1097-0142(19940915)74:6<1778::aid-cncr2820740621>3.0.co;2-5
37 https://doi.org/10.1002/1097-0142(19950101)75:1<81::aid-cncr2820750114>3.0.co;2-f
38 https://doi.org/10.1002/cncr.20040
39 https://doi.org/10.1002/cncr.21308
40 https://doi.org/10.1002/ijc.21004
41 https://doi.org/10.1006/gyno.1993.1211
42 https://doi.org/10.1006/gyno.1999.5422
43 https://doi.org/10.1006/gyno.2000.5751
44 https://doi.org/10.1016/0002-9378(91)90615-x
45 https://doi.org/10.1016/0090-8258(83)90111-7
46 https://doi.org/10.1016/0090-8258(89)90027-9
47 https://doi.org/10.1016/0090-8258(92)90130-b
48 https://doi.org/10.1016/j.humpath.2004.02.007
49 https://doi.org/10.1016/j.ygyno.2005.07.006
50 https://doi.org/10.1016/s0002-9440(10)64434-3
51 https://doi.org/10.1016/s0301-2115(02)00104-5
52 https://doi.org/10.1053/hupa.2001.25929
53 https://doi.org/10.1056/nejmoa041588
54 https://doi.org/10.1073/pnas.0932692100
55 https://doi.org/10.1073/pnas.241500798
56 https://doi.org/10.1073/pnas.95.25.14863
57 https://doi.org/10.1093/ajcp/94.3.255
58 https://doi.org/10.1097/00000478-199206000-00008
59 https://doi.org/10.1097/00000478-199810000-00005
60 https://doi.org/10.1097/00000478-200009000-00002
61 https://doi.org/10.1097/00004347-199607000-00002
62 https://doi.org/10.1097/00004347-200404000-00007
63 https://doi.org/10.1097/00019606-200303000-00004
64 https://doi.org/10.1097/00129039-200409000-00010
65 https://doi.org/10.1097/01.pas.0000152129.81363.d2
66 https://doi.org/10.1097/01.pgp.0000070850.25718.a5
67 https://doi.org/10.1111/j.1699-0463.1995.tb01399.x
68 https://doi.org/10.1158/0008-5472.can-04-0633
69 https://doi.org/10.1158/1078-0432.ccr-04-0429
70 https://doi.org/10.1309/pef8-gl6f-ywmc-ag56
71 https://doi.org/10.1371/journal.pbio.0020108
72 https://doi.org/10.1634/theoncologist.5-6-510
73 https://doi.org/10.1677/erc.0.0100203
74 https://doi.org/10.3322/canjclin.50.1.7
75 schema:datePublished 2007-11
76 schema:datePublishedReg 2007-11-01
77 schema:description Panels of immunomarkers can provide greater information than single markers, but the problem of how to optimally interpret data from multiple immunomarkers is unresolved. We examined the expression profile of 12 immunomarkers in 200 endometrial carcinomas using a tissue microarray. The outcomes of groups of patients were analyzed by using the Kaplan-Meier method, using the log-rank statistic for comparison of survival curves. Correlation between clustering results and traditional prognosticators of endometrial carcinoma was examined by either Fisher's exact test or chi2-test. Multivariate analysis was performed using a proportional hazards method (Cox regression modeling). Seven of the 12 immunomarkers studied showed prognostic significance in univariate analysis (P<0.05) and 1 marker showed a trend toward significance (P=0.06). These eight markers were used in unsupervised hierarchical clustering of the cases, and resulted in identification of three cluster groups. There was a statistically significant difference in patient survival between these cluster groups (P=0.0001). The prognostic significance of the cluster groups was independent of tumor stage and patient age on multivariate analysis (P=0.014), but was not of independent significance when either tumor grade or cell type was added to the model. The cluster group designation was strongly correlated with tumor grade, stage, and cell type (P<0.0001 for each). Interlaboratory reproducibility of subclassification of endometrial adenocarcinoma by hierarchical clustering analysis was verified by showing highly reproducible assignment of individual cases to specific cluster groups when the immunostaining was performed, interpreted, and clustered in a second laboratory (kappa=0.79, concordance rate=89.6%). Unsupervised hierarchical clustering of immunostaining data identifies prognostically relevant subsets of endometrial adenocarcinoma. Such analysis is reproducible, showing less interobserver variability than histopathological assessment of tumor cell type or grade.
78 schema:genre research_article
79 schema:inLanguage en
80 schema:isAccessibleForFree true
81 schema:isPartOf N17afad880ddd464194836bf3c3941899
82 N2712932662bd49c4bf8b7a569bc82eb9
83 sg:journal.1098208
84 schema:name Identification of prognostically relevant and reproducible subsets of endometrial adenocarcinoma based on clustering analysis of immunostaining data
85 schema:pagination 3800950
86 schema:productId N15184ce89390493ba1b2a35852b269ac
87 N40b6be762baf436393df85ca76b86821
88 N663e45fb578d4679b8947cadb64b3659
89 N6b9bc1ddab1a4a619c7d0fc4c6266317
90 N8f9e37c0e28f49bd8dccb682088058c8
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029339169
92 https://doi.org/10.1038/modpathol.3800950
93 schema:sdDatePublished 2019-04-10T19:45
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher N51553d6e8375462bb41588e581e6942a
96 schema:url http://www.nature.com/articles/3800950
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N05ca4cc3aafd4ceea535af80949b311c rdf:first sg:person.01124144051.77
101 rdf:rest N9ef5c6efe207494db887a2544ad5c1b2
102 N08a86de272f14e56a18d22169e09c1cd rdf:first sg:person.0645346432.08
103 rdf:rest N773613e70b9844aba27792da3790d6fa
104 N0f85f63a586d467da94aa1483eed50f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Immunohistochemistry
106 rdf:type schema:DefinedTerm
107 N15184ce89390493ba1b2a35852b269ac schema:name dimensions_id
108 schema:value pub.1029339169
109 rdf:type schema:PropertyValue
110 N153c697efa0f448481f1df06365caa9e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Cluster Analysis
112 rdf:type schema:DefinedTerm
113 N17afad880ddd464194836bf3c3941899 schema:volumeNumber 20
114 rdf:type schema:PublicationVolume
115 N1969ccd75e404483b7dce681f403a13d rdf:first sg:person.01307633305.64
116 rdf:rest N05ca4cc3aafd4ceea535af80949b311c
117 N2712932662bd49c4bf8b7a569bc82eb9 schema:issueNumber 11
118 rdf:type schema:PublicationIssue
119 N2743642a58e84cecb550b81c01f25a0a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Gene Expression
121 rdf:type schema:DefinedTerm
122 N35660beaf6f84d418f96bafc6df422f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Reproducibility of Results
124 rdf:type schema:DefinedTerm
125 N40b6be762baf436393df85ca76b86821 schema:name readcube_id
126 schema:value 8bc46967ea1582bfa4ec694e05eab053a9dfc6ed24363bf72434be89456eb763
127 rdf:type schema:PropertyValue
128 N4233e7f1ba87447597ae445aea3bfe73 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Middle Aged
130 rdf:type schema:DefinedTerm
131 N51553d6e8375462bb41588e581e6942a schema:name Springer Nature - SN SciGraph project
132 rdf:type schema:Organization
133 N5536dd8a8ac24ebd8101fe2bbe62dac2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Survival Analysis
135 rdf:type schema:DefinedTerm
136 N5ea1c9f3f7a14082921d9c629fbb5391 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Humans
138 rdf:type schema:DefinedTerm
139 N62a1e3d74903462ba4f92a6d3d328846 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Prognosis
141 rdf:type schema:DefinedTerm
142 N663e45fb578d4679b8947cadb64b3659 schema:name doi
143 schema:value 10.1038/modpathol.3800950
144 rdf:type schema:PropertyValue
145 N6b9bc1ddab1a4a619c7d0fc4c6266317 schema:name pubmed_id
146 schema:value 17717550
147 rdf:type schema:PropertyValue
148 N6c27f39cf5de49ddb0327ed4cb255902 rdf:first sg:person.01367442701.80
149 rdf:rest N80c2649d83a84b6caf920cee241525ad
150 N73b5606e6feb4777b62cfc16e61c65d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Multivariate Analysis
152 rdf:type schema:DefinedTerm
153 N773613e70b9844aba27792da3790d6fa rdf:first sg:person.011077447057.72
154 rdf:rest Nff6dd28e03974526be9672eb45163f17
155 N7e68da9741c243d8904749d661226c00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Endometrial Neoplasms
157 rdf:type schema:DefinedTerm
158 N80c2649d83a84b6caf920cee241525ad rdf:first sg:person.0737427052.58
159 rdf:rest Neb066d5ea4b04fa890962846685bb755
160 N83e3599ee1894e8c9d59df2fb64ab23a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Aged, 80 and over
162 rdf:type schema:DefinedTerm
163 N848b75e2b600434f81ec5301c2f8c780 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Adult
165 rdf:type schema:DefinedTerm
166 N8f9e37c0e28f49bd8dccb682088058c8 schema:name nlm_unique_id
167 schema:value 8806605
168 rdf:type schema:PropertyValue
169 N98deb02c1ac742ee866f0bd766cf80ef rdf:first sg:person.01303272661.04
170 rdf:rest N1969ccd75e404483b7dce681f403a13d
171 N9ada5e6af8644955bb03551b55031880 rdf:first sg:person.01025757505.00
172 rdf:rest Nc109b250c994415c98e22d627a8fa831
173 N9ef5c6efe207494db887a2544ad5c1b2 rdf:first sg:person.0635261454.23
174 rdf:rest N08a86de272f14e56a18d22169e09c1cd
175 Nad129e3675354610af073f631b1764d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Tissue Array Analysis
177 rdf:type schema:DefinedTerm
178 Nb40f625bbf3844ed82d8382d5e7c97f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Aged
180 rdf:type schema:DefinedTerm
181 Nc109b250c994415c98e22d627a8fa831 rdf:first sg:person.01120560217.98
182 rdf:rest rdf:nil
183 Nce7ed41d13e5478e862702dc69559e29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Female
185 rdf:type schema:DefinedTerm
186 Nd8f2410bad6b45f5a69c0b89c45728ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Adenocarcinoma
188 rdf:type schema:DefinedTerm
189 Ne1f48da79c3f4e02a6e8dd6ecc6fada6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Biomarkers, Tumor
191 rdf:type schema:DefinedTerm
192 Neb066d5ea4b04fa890962846685bb755 rdf:first sg:person.015140454124.62
193 rdf:rest N9ada5e6af8644955bb03551b55031880
194 Nede7020dfc53488fb477af44bc0bff9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Neoplasm Staging
196 rdf:type schema:DefinedTerm
197 Nfe4def12e25042979e29b4824bcccd95 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Kaplan-Meier Estimate
199 rdf:type schema:DefinedTerm
200 Nff6dd28e03974526be9672eb45163f17 rdf:first sg:person.01201666717.73
201 rdf:rest N6c27f39cf5de49ddb0327ed4cb255902
202 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
203 schema:name Information and Computing Sciences
204 rdf:type schema:DefinedTerm
205 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
206 schema:name Artificial Intelligence and Image Processing
207 rdf:type schema:DefinedTerm
208 sg:journal.1098208 schema:issn 0893-3952
209 1530-0285
210 schema:name Modern Pathology
211 rdf:type schema:Periodical
212 sg:person.01025757505.00 schema:affiliation https://www.grid.ac/institutes/grid.22072.35
213 schema:familyName Parker
214 schema:givenName Robin
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025757505.00
216 rdf:type schema:Person
217 sg:person.011077447057.72 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
218 schema:familyName Miller
219 schema:givenName Dianne
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011077447057.72
221 rdf:type schema:Person
222 sg:person.01120560217.98 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
223 schema:familyName Gilks
224 schema:givenName C Blake
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120560217.98
226 rdf:type schema:Person
227 sg:person.01124144051.77 schema:affiliation https://www.grid.ac/institutes/grid.22072.35
228 schema:familyName Akbari
229 schema:givenName Majid
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124144051.77
231 rdf:type schema:Person
232 sg:person.01201666717.73 schema:affiliation https://www.grid.ac/institutes/grid.22072.35
233 schema:familyName Magliocco
234 schema:givenName Anthony
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201666717.73
236 rdf:type schema:Person
237 sg:person.01303272661.04 schema:affiliation https://www.grid.ac/institutes/grid.415254.3
238 schema:familyName Alkushi
239 schema:givenName Abdulmohsen
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303272661.04
241 rdf:type schema:Person
242 sg:person.01307633305.64 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
243 schema:familyName Clarke
244 schema:givenName Blaise A
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307633305.64
246 rdf:type schema:Person
247 sg:person.01367442701.80 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
248 schema:familyName Coldman
249 schema:givenName Andrew
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367442701.80
251 rdf:type schema:Person
252 sg:person.015140454124.62 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
253 schema:familyName Huntsman
254 schema:givenName David
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015140454124.62
256 rdf:type schema:Person
257 sg:person.0635261454.23 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
258 schema:familyName Makretsov
259 schema:givenName Nikita
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635261454.23
261 rdf:type schema:Person
262 sg:person.0645346432.08 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
263 schema:familyName Lim
264 schema:givenName Peter
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645346432.08
266 rdf:type schema:Person
267 sg:person.0737427052.58 schema:affiliation https://www.grid.ac/institutes/grid.240952.8
268 schema:familyName van de Rijn
269 schema:givenName Matt
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737427052.58
271 rdf:type schema:Person
272 sg:pub.10.1007/s00428-002-0752-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075255277
273 https://doi.org/10.1007/s00428-002-0752-4
274 rdf:type schema:CreativeWork
275 sg:pub.10.1038/35000501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010898206
276 https://doi.org/10.1038/35000501
277 rdf:type schema:CreativeWork
278 sg:pub.10.1038/415530a schema:sameAs https://app.dimensions.ai/details/publication/pub.1043001094
279 https://doi.org/10.1038/415530a
280 rdf:type schema:CreativeWork
281 sg:pub.10.1038/modpathol.3800347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019257158
282 https://doi.org/10.1038/modpathol.3800347
283 rdf:type schema:CreativeWork
284 sg:pub.10.1038/modpathol.3880051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035627673
285 https://doi.org/10.1038/modpathol.3880051
286 rdf:type schema:CreativeWork
287 sg:pub.10.1038/modpathol.3880531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048997891
288 https://doi.org/10.1038/modpathol.3880531
289 rdf:type schema:CreativeWork
290 sg:pub.10.1097/01.mp.0000039571.02827.ce schema:sameAs https://app.dimensions.ai/details/publication/pub.1023047044
291 https://doi.org/10.1097/01.mp.0000039571.02827.ce
292 rdf:type schema:CreativeWork
293 https://app.dimensions.ai/details/publication/pub.1077006548 schema:CreativeWork
294 https://app.dimensions.ai/details/publication/pub.1083215411 schema:CreativeWork
295 https://app.dimensions.ai/details/publication/pub.1083366876 schema:CreativeWork
296 https://doi.org/10.1002/(sici)1097-0142(20000215)88:4<814::aid-cncr12>3.0.co;2-u schema:sameAs https://app.dimensions.ai/details/publication/pub.1003325600
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1002/(sici)1097-0215(19980417)79:2<153::aid-ijc10>3.0.co;2-b schema:sameAs https://app.dimensions.ai/details/publication/pub.1012002630
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1002/1097-0142(19911115)68:10<2303::aid-cncr2820681033>3.0.co;2-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1009917107
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1002/1097-0142(19940915)74:6<1778::aid-cncr2820740621>3.0.co;2-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029644423
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1002/1097-0142(19950101)75:1<81::aid-cncr2820750114>3.0.co;2-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1016150979
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1002/cncr.20040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009640019
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1002/cncr.21308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027689264
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1002/ijc.21004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039744402
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1006/gyno.1993.1211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051336067
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1006/gyno.1999.5422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047544411
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1006/gyno.2000.5751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053277595
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1016/0002-9378(91)90615-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004296427
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1016/0090-8258(83)90111-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012264639
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1016/0090-8258(89)90027-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011968091
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1016/0090-8258(92)90130-b schema:sameAs https://app.dimensions.ai/details/publication/pub.1026020105
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1016/j.humpath.2004.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004018900
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1016/j.ygyno.2005.07.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040861030
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1016/s0002-9440(10)64434-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000958293
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1016/s0301-2115(02)00104-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021385471
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1053/hupa.2001.25929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015084247
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1056/nejmoa041588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022156409
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1073/pnas.0932692100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007535956
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1073/pnas.241500798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022053203
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1073/pnas.95.25.14863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020882317
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1093/ajcp/94.3.255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022024982
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1097/00000478-199206000-00008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000834245
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1097/00000478-199810000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060122690
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1097/00000478-200009000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025225907
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1097/00004347-199607000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028370591
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1097/00004347-200404000-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005448439
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1097/00019606-200303000-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036797331
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1097/00129039-200409000-00010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020731309
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1097/01.pas.0000152129.81363.d2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008778200
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1097/01.pgp.0000070850.25718.a5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002417494
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1111/j.1699-0463.1995.tb01399.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039715529
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1158/0008-5472.can-04-0633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017412385
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1158/1078-0432.ccr-04-0429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045344967
369 rdf:type schema:CreativeWork
370 https://doi.org/10.1309/pef8-gl6f-ywmc-ag56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052001167
371 rdf:type schema:CreativeWork
372 https://doi.org/10.1371/journal.pbio.0020108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050418449
373 rdf:type schema:CreativeWork
374 https://doi.org/10.1634/theoncologist.5-6-510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007437883
375 rdf:type schema:CreativeWork
376 https://doi.org/10.1677/erc.0.0100203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013016361
377 rdf:type schema:CreativeWork
378 https://doi.org/10.3322/canjclin.50.1.7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029345645
379 rdf:type schema:CreativeWork
380 https://www.grid.ac/institutes/grid.22072.35 schema:alternateName University of Calgary
381 schema:name Department of Pathology, University of Calgary, Calgary, AB, Canada
382 rdf:type schema:Organization
383 https://www.grid.ac/institutes/grid.240952.8 schema:alternateName Stanford Medicine
384 schema:name Department of Pathology, Stanford University Medical Center, Stanford, CA, USA
385 rdf:type schema:Organization
386 https://www.grid.ac/institutes/grid.248762.d schema:alternateName BC Cancer Agency
387 schema:name Department of Gynecologic Oncology and Gynecology Tumour Group, British Columbia Cancer Agency, Vancouver, BC, Canada
388 Department of Radiation Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada
389 Genetic Pathology Evaluation Centre of the Prostate Research Centre, Department of Pathology, Vancouver General Hospital and British Columbia Cancer Agency, Vancouver, BC, Canada
390 Population and Preventive Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada
391 rdf:type schema:Organization
392 https://www.grid.ac/institutes/grid.415254.3 schema:alternateName King Abdulaziz Medical City
393 schema:name Department of Pathology, King Fahad National Guard Hospital, Riyadh, Saudi Arabia
394 rdf:type schema:Organization
 




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


...