Discrimination between uterine serous papillary carcinomas and ovarian serous papillary tumours by gene expression profiling View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-05

AUTHORS

A D Santin, F Zhan, S Bellone, M Palmieri, S Cane, M Gokden, J J Roman, T J O'Brien, E Tian, M J Cannon, J Shaughnessy, S Pecorelli

ABSTRACT

High-grade ovarian serous papillary cancer (OSPC) and uterine serous papillary carcinoma (USPC) represent two histologically similar malignancies characterised by markedly different biological behavior and response to chemotherapy. Understanding the molecular basis of these differences may significantly refine differential diagnosis and management, and may lead to the development of novel, more specific and more effective treatment modalities for OSPC and USPC. We used an oligonucleotide microarray with probe sets complementary to >10 000 human genes to determine whether patterns of gene expression may differentiate OSPC from USPC. Hierarchical cluster analysis of gene expression in OSPC and USPC identified 116 genes that exhibited >two-fold differences (P<0.05) and that readily distinguished OSPC from USPC. Plasminogen activator inhibitor (PAI-2) was the most highly overexpressed gene in OSPC when compared to USPC, while c-erbB2 was the most strikingly overexpressed gene in USPC when compared to OSPC. Overexpression of the c-erbB2 gene and its expression product (i.e., HER-2/neu receptor) was validated by quantitative RT-PCR as well as by flow cytometry on primary USPC and OSPC, respectively. Immunohistochemical staining of serous tumour samples from which primary OSPC and USPC cultures were derived as well as from an independent set of 20 clinical tissue samples (i.e., 10 OSPC and 10 USPC) further confirmed HER-2/neu as a novel molecular diagnostic and therapeutic marker for USPC. Gene expression fingerprints have the potential to predict the anatomical site of tumour origin and readily identify the biologically more aggressive USPC from OSPC. A therapeutic strategy targeting HER-2/neu may be beneficial in patients harbouring chemotherapy-resistant USPC. More... »

PAGES

6601791

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.bjc.6601791

DOI

http://dx.doi.org/10.1038/sj.bjc.6601791

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039718252

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15208622


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Papillary", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cells, Cultured", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cystadenocarcinoma, Serous", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diagnosis, Differential", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Flow Cytometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Neoplastic", 
        "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": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ovarian Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptor, ErbB-2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reverse Transcriptase Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Uterine Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "1, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Santin", 
        "givenName": "A D", 
        "id": "sg:person.01134001475.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134001475.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "2, Department of Medicine, Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhan", 
        "givenName": "F", 
        "id": "sg:person.010204310737.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204310737.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "1, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bellone", 
        "givenName": "S", 
        "id": "sg:person.01244366775.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01244366775.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "1, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palmieri", 
        "givenName": "M", 
        "id": "sg:person.01344440360.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344440360.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "1, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cane", 
        "givenName": "S", 
        "id": "sg:person.0771200144.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771200144.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "3, Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gokden", 
        "givenName": "M", 
        "id": "sg:person.01345431325.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345431325.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "1, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roman", 
        "givenName": "J J", 
        "id": "sg:person.01157133324.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157133324.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "1, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "O'Brien", 
        "givenName": "T J", 
        "id": "sg:person.010743154632.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010743154632.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "2, Department of Medicine, Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tian", 
        "givenName": "E", 
        "id": "sg:person.01022103536.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022103536.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "4, Department of Microbiology & Immunology, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cannon", 
        "givenName": "M J", 
        "id": "sg:person.014010236452.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014010236452.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "2, Department of Medicine, Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shaughnessy", 
        "givenName": "J", 
        "id": "sg:person.015534541617.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015534541617.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "5, Division of Gynecologic Oncology, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pecorelli", 
        "givenName": "S", 
        "id": "sg:person.01065666275.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065666275.46"
        ], 
        "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": "sg:pub.10.1007/s000180050497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001277092", 
          "https://doi.org/10.1007/s000180050497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.091062498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001631710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.133.2.405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003341714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/gyno.1994.1208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004401693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9440(10)62509-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008126881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0090-8258(92)90224-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012179509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mob.2000.107097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016251285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004347-199501000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018503906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004347-199501000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018503906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6600026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020367798", 
          "https://doi.org/10.1038/sj.bjc.6600026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6600026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020367798", 
          "https://doi.org/10.1038/sj.bjc.6600026"
        ], 
        "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/10.1182/blood.v99.5.1745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021707061"
        ], 
        "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/10.1210/en.2001-211408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026773732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm200103153441101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031768583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.191367098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034333528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0215(19971219)74:6<571::aid-ijc2>3.0.co;2-r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034786694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa012914", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040112680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/canjclin.53.1.5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044349440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.98.3.1176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045705996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/beog.2002.0307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047001304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/beog.2002.0307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047001304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1095/biolreprod66.4.859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048699537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1095/biolreprod66.4.859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048699537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.272.13.8490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053182622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003081-199609000-00016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060153579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1124/mol.58.6.1188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074732333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074739253", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074815977", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075051019", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075108940", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077951754", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079826430", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fasebj.7.11.8370471", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082778378"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-05", 
    "datePublishedReg": "2004-05-01", 
    "description": "High-grade ovarian serous papillary cancer (OSPC) and uterine serous papillary carcinoma (USPC) represent two histologically similar malignancies characterised by markedly different biological behavior and response to chemotherapy. Understanding the molecular basis of these differences may significantly refine differential diagnosis and management, and may lead to the development of novel, more specific and more effective treatment modalities for OSPC and USPC. We used an oligonucleotide microarray with probe sets complementary to >10 000 human genes to determine whether patterns of gene expression may differentiate OSPC from USPC. Hierarchical cluster analysis of gene expression in OSPC and USPC identified 116 genes that exhibited >two-fold differences (P<0.05) and that readily distinguished OSPC from USPC. Plasminogen activator inhibitor (PAI-2) was the most highly overexpressed gene in OSPC when compared to USPC, while c-erbB2 was the most strikingly overexpressed gene in USPC when compared to OSPC. Overexpression of the c-erbB2 gene and its expression product (i.e., HER-2/neu receptor) was validated by quantitative RT-PCR as well as by flow cytometry on primary USPC and OSPC, respectively. Immunohistochemical staining of serous tumour samples from which primary OSPC and USPC cultures were derived as well as from an independent set of 20 clinical tissue samples (i.e., 10 OSPC and 10 USPC) further confirmed HER-2/neu as a novel molecular diagnostic and therapeutic marker for USPC. Gene expression fingerprints have the potential to predict the anatomical site of tumour origin and readily identify the biologically more aggressive USPC from OSPC. A therapeutic strategy targeting HER-2/neu may be beneficial in patients harbouring chemotherapy-resistant USPC.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sj.bjc.6601791", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "90"
      }
    ], 
    "name": "Discrimination between uterine serous papillary carcinomas and ovarian serous papillary tumours by gene expression profiling", 
    "pagination": "6601791", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bd33516f0905b4c67662ed08fa14533bde4a1fd5b1b12383d8bda98174d0f5c8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "15208622"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.bjc.6601791"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039718252"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.bjc.6601791", 
      "https://app.dimensions.ai/details/publication/pub.1039718252"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:51", 
    "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/v90/0000000359_0000000359/records_29183_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/6601791"
  }
]
 

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/sj.bjc.6601791'

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/sj.bjc.6601791'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6601791'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6601791'


 

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

316 TRIPLES      21 PREDICATES      79 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.bjc.6601791 schema:about N00f3a1830cb943b8be54017b8fa5c3f1
2 N0fb68cb2a003485fba3c6f354b64fe0c
3 N13113501a03a40c692767784ea385e97
4 N240018e2de4d4ecfaaac2700949d3cb7
5 N2842970e090d4b3dbfc67fd82aae833c
6 N33a5c719a57b4712a4281abd737a2251
7 N3c5492f35fea46cb8c246512c64c02d7
8 N491bdecef1314ea7a1821179afa68f07
9 N59d3cc1a020d4568b74e504efbf53bca
10 N5f4f542a67274d5399e6c4e529a2e40d
11 N7028e81d39134c31b1f6337cafaee9b5
12 N79c6b027a82343e9978281c3a2d56f3e
13 N96d712d946e94ca2af62bf6446697e16
14 Nb062ba4a1ddf4928a8330a42682f29b0
15 Nd95a8e8bcd2845309e3ac4e0b566ca96
16 Nde8b2e6f6ac0430ebd373ed5eb403ca2
17 Ne01314bdeb504c5d8d14d9a245e70436
18 Ne80b4b3769f44993aeaa599e8384a6cc
19 anzsrc-for:11
20 anzsrc-for:1112
21 schema:author Nfbff0ba42d264e77b75f4ce9bfca1d78
22 schema:citation sg:pub.10.1007/s000180050497
23 sg:pub.10.1038/sj.bjc.6600026
24 https://app.dimensions.ai/details/publication/pub.1074739253
25 https://app.dimensions.ai/details/publication/pub.1074815977
26 https://app.dimensions.ai/details/publication/pub.1075051019
27 https://app.dimensions.ai/details/publication/pub.1075108940
28 https://app.dimensions.ai/details/publication/pub.1077951754
29 https://app.dimensions.ai/details/publication/pub.1079826430
30 https://doi.org/10.1002/(sici)1097-0215(19971219)74:6<571::aid-ijc2>3.0.co;2-r
31 https://doi.org/10.1006/gyno.1994.1208
32 https://doi.org/10.1016/0090-8258(92)90130-b
33 https://doi.org/10.1016/0090-8258(92)90224-7
34 https://doi.org/10.1016/s0002-9440(10)62509-6
35 https://doi.org/10.1053/beog.2002.0307
36 https://doi.org/10.1056/nejm200103153441101
37 https://doi.org/10.1056/nejmoa012914
38 https://doi.org/10.1067/mob.2000.107097
39 https://doi.org/10.1073/pnas.091062498
40 https://doi.org/10.1073/pnas.191367098
41 https://doi.org/10.1073/pnas.95.25.14863
42 https://doi.org/10.1073/pnas.98.3.1176
43 https://doi.org/10.1074/jbc.272.13.8490
44 https://doi.org/10.1083/jcb.133.2.405
45 https://doi.org/10.1095/biolreprod66.4.859
46 https://doi.org/10.1096/fasebj.7.11.8370471
47 https://doi.org/10.1097/00000478-199206000-00008
48 https://doi.org/10.1097/00003081-199609000-00016
49 https://doi.org/10.1097/00004347-199501000-00006
50 https://doi.org/10.1124/mol.58.6.1188
51 https://doi.org/10.1182/blood.v99.5.1745
52 https://doi.org/10.1210/en.2001-211408
53 https://doi.org/10.3322/canjclin.53.1.5
54 schema:datePublished 2004-05
55 schema:datePublishedReg 2004-05-01
56 schema:description High-grade ovarian serous papillary cancer (OSPC) and uterine serous papillary carcinoma (USPC) represent two histologically similar malignancies characterised by markedly different biological behavior and response to chemotherapy. Understanding the molecular basis of these differences may significantly refine differential diagnosis and management, and may lead to the development of novel, more specific and more effective treatment modalities for OSPC and USPC. We used an oligonucleotide microarray with probe sets complementary to >10 000 human genes to determine whether patterns of gene expression may differentiate OSPC from USPC. Hierarchical cluster analysis of gene expression in OSPC and USPC identified 116 genes that exhibited >two-fold differences (P<0.05) and that readily distinguished OSPC from USPC. Plasminogen activator inhibitor (PAI-2) was the most highly overexpressed gene in OSPC when compared to USPC, while c-erbB2 was the most strikingly overexpressed gene in USPC when compared to OSPC. Overexpression of the c-erbB2 gene and its expression product (i.e., HER-2/neu receptor) was validated by quantitative RT-PCR as well as by flow cytometry on primary USPC and OSPC, respectively. Immunohistochemical staining of serous tumour samples from which primary OSPC and USPC cultures were derived as well as from an independent set of 20 clinical tissue samples (i.e., 10 OSPC and 10 USPC) further confirmed HER-2/neu as a novel molecular diagnostic and therapeutic marker for USPC. Gene expression fingerprints have the potential to predict the anatomical site of tumour origin and readily identify the biologically more aggressive USPC from OSPC. A therapeutic strategy targeting HER-2/neu may be beneficial in patients harbouring chemotherapy-resistant USPC.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree true
60 schema:isPartOf Nd37025c2cb2343298b65136e56d5c398
61 Nfdf5c6f15c884f0a80ebfb4c650e96e7
62 sg:journal.1017082
63 schema:name Discrimination between uterine serous papillary carcinomas and ovarian serous papillary tumours by gene expression profiling
64 schema:pagination 6601791
65 schema:productId N05ce93267a1848a2b0bfeec25102506c
66 N27350fca6db44e568ef5e5918c9b4a70
67 N75ff765c00384a40b2a516069a8e20fa
68 N86baf0275a80495a8416406af5c6dda8
69 Ncfef9ab73b004fdabb0efc4b879576f8
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039718252
71 https://doi.org/10.1038/sj.bjc.6601791
72 schema:sdDatePublished 2019-04-11T11:51
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher N3899a881e7a842a1bf8fa29e9702dfc3
75 schema:url http://www.nature.com/articles/6601791
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N00f3a1830cb943b8be54017b8fa5c3f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Gene Expression Regulation, Neoplastic
81 rdf:type schema:DefinedTerm
82 N05ce93267a1848a2b0bfeec25102506c schema:name dimensions_id
83 schema:value pub.1039718252
84 rdf:type schema:PropertyValue
85 N0b87b888d5b942559549a6798093183d rdf:first sg:person.01157133324.51
86 rdf:rest N0cecc187f5da4a5a9276eeb9ce4e0432
87 N0cecc187f5da4a5a9276eeb9ce4e0432 rdf:first sg:person.010743154632.78
88 rdf:rest Nedf743dd00fb4832befd5f36801a6fab
89 N0fb68cb2a003485fba3c6f354b64fe0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Reverse Transcriptase Polymerase Chain Reaction
91 rdf:type schema:DefinedTerm
92 N13113501a03a40c692767784ea385e97 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Oligonucleotide Array Sequence Analysis
94 rdf:type schema:DefinedTerm
95 N240018e2de4d4ecfaaac2700949d3cb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Receptor, ErbB-2
97 rdf:type schema:DefinedTerm
98 N27350fca6db44e568ef5e5918c9b4a70 schema:name readcube_id
99 schema:value bd33516f0905b4c67662ed08fa14533bde4a1fd5b1b12383d8bda98174d0f5c8
100 rdf:type schema:PropertyValue
101 N2842970e090d4b3dbfc67fd82aae833c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Humans
103 rdf:type schema:DefinedTerm
104 N2e2c1a790964460991bf2b8b1cac2167 rdf:first sg:person.0771200144.54
105 rdf:rest N9c3ab1348a194badac7a00188a1bf50e
106 N33a5c719a57b4712a4281abd737a2251 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Cells, Cultured
108 rdf:type schema:DefinedTerm
109 N3899a881e7a842a1bf8fa29e9702dfc3 schema:name Springer Nature - SN SciGraph project
110 rdf:type schema:Organization
111 N3961c6ea88024e8c81d9f3272a5a8a1e rdf:first sg:person.01065666275.46
112 rdf:rest rdf:nil
113 N3c5492f35fea46cb8c246512c64c02d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Adult
115 rdf:type schema:DefinedTerm
116 N42a4acffff1542b19d7fb4d481d5ce9d rdf:first sg:person.010204310737.45
117 rdf:rest Nd2c3fb41597b4baa80a9abfb27f6d02e
118 N491bdecef1314ea7a1821179afa68f07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Aged
120 rdf:type schema:DefinedTerm
121 N59d3cc1a020d4568b74e504efbf53bca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Uterine Neoplasms
123 rdf:type schema:DefinedTerm
124 N5f4f542a67274d5399e6c4e529a2e40d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Middle Aged
126 rdf:type schema:DefinedTerm
127 N7028e81d39134c31b1f6337cafaee9b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Gene Expression Profiling
129 rdf:type schema:DefinedTerm
130 N75ff765c00384a40b2a516069a8e20fa schema:name nlm_unique_id
131 schema:value 0370635
132 rdf:type schema:PropertyValue
133 N79c6b027a82343e9978281c3a2d56f3e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Carcinoma, Papillary
135 rdf:type schema:DefinedTerm
136 N86baf0275a80495a8416406af5c6dda8 schema:name pubmed_id
137 schema:value 15208622
138 rdf:type schema:PropertyValue
139 N96d712d946e94ca2af62bf6446697e16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Female
141 rdf:type schema:DefinedTerm
142 N975e3632f07645baa91f4b4b74be009e rdf:first sg:person.014010236452.06
143 rdf:rest Ne4517c4d02e0482490752cffdafeb715
144 N9c3ab1348a194badac7a00188a1bf50e rdf:first sg:person.01345431325.04
145 rdf:rest N0b87b888d5b942559549a6798093183d
146 Nb062ba4a1ddf4928a8330a42682f29b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Cystadenocarcinoma, Serous
148 rdf:type schema:DefinedTerm
149 Ncfef9ab73b004fdabb0efc4b879576f8 schema:name doi
150 schema:value 10.1038/sj.bjc.6601791
151 rdf:type schema:PropertyValue
152 Nd2c3fb41597b4baa80a9abfb27f6d02e rdf:first sg:person.01244366775.56
153 rdf:rest Nf434ade64053416fbf7668ffcd6a155a
154 Nd37025c2cb2343298b65136e56d5c398 schema:volumeNumber 90
155 rdf:type schema:PublicationVolume
156 Nd95a8e8bcd2845309e3ac4e0b566ca96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Ovarian Neoplasms
158 rdf:type schema:DefinedTerm
159 Nde8b2e6f6ac0430ebd373ed5eb403ca2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Immunohistochemistry
161 rdf:type schema:DefinedTerm
162 Ne01314bdeb504c5d8d14d9a245e70436 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Diagnosis, Differential
164 rdf:type schema:DefinedTerm
165 Ne4517c4d02e0482490752cffdafeb715 rdf:first sg:person.015534541617.61
166 rdf:rest N3961c6ea88024e8c81d9f3272a5a8a1e
167 Ne80b4b3769f44993aeaa599e8384a6cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Flow Cytometry
169 rdf:type schema:DefinedTerm
170 Nedf743dd00fb4832befd5f36801a6fab rdf:first sg:person.01022103536.30
171 rdf:rest N975e3632f07645baa91f4b4b74be009e
172 Nf434ade64053416fbf7668ffcd6a155a rdf:first sg:person.01344440360.35
173 rdf:rest N2e2c1a790964460991bf2b8b1cac2167
174 Nfbff0ba42d264e77b75f4ce9bfca1d78 rdf:first sg:person.01134001475.57
175 rdf:rest N42a4acffff1542b19d7fb4d481d5ce9d
176 Nfdf5c6f15c884f0a80ebfb4c650e96e7 schema:issueNumber 9
177 rdf:type schema:PublicationIssue
178 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
179 schema:name Medical and Health Sciences
180 rdf:type schema:DefinedTerm
181 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
182 schema:name Oncology and Carcinogenesis
183 rdf:type schema:DefinedTerm
184 sg:journal.1017082 schema:issn 0007-0920
185 1532-1827
186 schema:name British Journal of Cancer
187 rdf:type schema:Periodical
188 sg:person.010204310737.45 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
189 schema:familyName Zhan
190 schema:givenName F
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204310737.45
192 rdf:type schema:Person
193 sg:person.01022103536.30 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
194 schema:familyName Tian
195 schema:givenName E
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022103536.30
197 rdf:type schema:Person
198 sg:person.01065666275.46 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
199 schema:familyName Pecorelli
200 schema:givenName S
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065666275.46
202 rdf:type schema:Person
203 sg:person.010743154632.78 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
204 schema:familyName O'Brien
205 schema:givenName T J
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010743154632.78
207 rdf:type schema:Person
208 sg:person.01134001475.57 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
209 schema:familyName Santin
210 schema:givenName A D
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134001475.57
212 rdf:type schema:Person
213 sg:person.01157133324.51 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
214 schema:familyName Roman
215 schema:givenName J J
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157133324.51
217 rdf:type schema:Person
218 sg:person.01244366775.56 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
219 schema:familyName Bellone
220 schema:givenName S
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01244366775.56
222 rdf:type schema:Person
223 sg:person.01344440360.35 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
224 schema:familyName Palmieri
225 schema:givenName M
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344440360.35
227 rdf:type schema:Person
228 sg:person.01345431325.04 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
229 schema:familyName Gokden
230 schema:givenName M
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345431325.04
232 rdf:type schema:Person
233 sg:person.014010236452.06 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
234 schema:familyName Cannon
235 schema:givenName M J
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014010236452.06
237 rdf:type schema:Person
238 sg:person.015534541617.61 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
239 schema:familyName Shaughnessy
240 schema:givenName J
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015534541617.61
242 rdf:type schema:Person
243 sg:person.0771200144.54 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
244 schema:familyName Cane
245 schema:givenName S
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771200144.54
247 rdf:type schema:Person
248 sg:pub.10.1007/s000180050497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001277092
249 https://doi.org/10.1007/s000180050497
250 rdf:type schema:CreativeWork
251 sg:pub.10.1038/sj.bjc.6600026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020367798
252 https://doi.org/10.1038/sj.bjc.6600026
253 rdf:type schema:CreativeWork
254 https://app.dimensions.ai/details/publication/pub.1074739253 schema:CreativeWork
255 https://app.dimensions.ai/details/publication/pub.1074815977 schema:CreativeWork
256 https://app.dimensions.ai/details/publication/pub.1075051019 schema:CreativeWork
257 https://app.dimensions.ai/details/publication/pub.1075108940 schema:CreativeWork
258 https://app.dimensions.ai/details/publication/pub.1077951754 schema:CreativeWork
259 https://app.dimensions.ai/details/publication/pub.1079826430 schema:CreativeWork
260 https://doi.org/10.1002/(sici)1097-0215(19971219)74:6<571::aid-ijc2>3.0.co;2-r schema:sameAs https://app.dimensions.ai/details/publication/pub.1034786694
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1006/gyno.1994.1208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004401693
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/0090-8258(92)90130-b schema:sameAs https://app.dimensions.ai/details/publication/pub.1026020105
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/0090-8258(92)90224-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012179509
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/s0002-9440(10)62509-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008126881
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1053/beog.2002.0307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047001304
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1056/nejm200103153441101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031768583
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1056/nejmoa012914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040112680
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1067/mob.2000.107097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016251285
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1073/pnas.091062498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001631710
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1073/pnas.191367098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034333528
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1073/pnas.95.25.14863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020882317
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1073/pnas.98.3.1176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045705996
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1074/jbc.272.13.8490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053182622
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1083/jcb.133.2.405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003341714
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1095/biolreprod66.4.859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048699537
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1096/fasebj.7.11.8370471 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082778378
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1097/00000478-199206000-00008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000834245
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1097/00003081-199609000-00016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060153579
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1097/00004347-199501000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018503906
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1124/mol.58.6.1188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074732333
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1182/blood.v99.5.1745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021707061
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1210/en.2001-211408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026773732
305 rdf:type schema:CreativeWork
306 https://doi.org/10.3322/canjclin.53.1.5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044349440
307 rdf:type schema:CreativeWork
308 https://www.grid.ac/institutes/grid.241054.6 schema:alternateName University of Arkansas for Medical Sciences
309 schema:name 1, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
310 2, Department of Medicine, Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
311 3, Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
312 4, Department of Microbiology & Immunology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
313 rdf:type schema:Organization
314 https://www.grid.ac/institutes/grid.7637.5 schema:alternateName University of Brescia
315 schema:name 5, Division of Gynecologic Oncology, University of Brescia, Brescia, Italy
316 rdf:type schema:Organization
 




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


...