The etiology of uterine sarcomas: a pooled analysis of the epidemiology of endometrial cancer consortium View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-02

AUTHORS

A S Felix, L S Cook, M M Gaudet, T E Rohan, L J Schouten, V W Setiawan, L A Wise, K E Anderson, L Bernstein, I De Vivo, C M Friedenreich, S M Gapstur, R A Goldbohm, B Henderson, P L Horn-Ross, L Kolonel, J V Lacey, X Liang, J Lissowska, A Magliocco, M L McCullough, A B Miller, S H Olson, J R Palmer, Y Park, A V Patel, J Prescott, R Rastogi, K Robien, L Rosenberg, C Schairer, X Ou Shu, P A van den Brandt, R A Virkus, N Wentzensen, Y-B Xiang, W-H Xu, H P Yang, L A Brinton

ABSTRACT

BACKGROUND: Uterine sarcomas are characterised by early age at diagnosis, poor prognosis, and higher incidence among Black compared with White women, but their aetiology is poorly understood. Therefore, we performed a pooled analysis of data collected in the Epidemiology of Endometrial Cancer Consortium. We also examined risk factor associations for malignant mixed mullerian tumours (MMMTs) and endometrioid endometrial carcinomas (EECs) for comparison purposes. METHODS: We pooled data on 229 uterine sarcomas, 244 MMMTs, 7623 EEC cases, and 28,829 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) for risk factors associated with uterine sarcoma, MMMT, and EEC were estimated with polytomous logistic regression. We also examined associations between epidemiological factors and histological subtypes of uterine sarcoma. RESULTS: Significant risk factors for uterine sarcoma included obesity (body mass index (BMI)≥30 vs BMI<25 kg m(-2) (OR: 1.73, 95% CI: 1.22-2.46), P-trend=0.008) and history of diabetes (OR: 2.33, 95% CI: 1.41-3.83). Older age at menarche was inversely associated with uterine sarcoma risk (≥15 years vs <11 years (OR: 0.70, 95% CI: 0.34-1.44), P-trend: 0.04). BMI was significantly, but less strongly related to uterine sarcomas compared with EECs (OR: 3.03, 95% CI: 2.82-3.26) or MMMTs (OR: 2.25, 95% CI: 1.60-3.15, P-heterogeneity=0.01). CONCLUSION: In the largest aetiological study of uterine sarcomas, associations between menstrual, hormonal, and anthropometric risk factors and uterine sarcoma were similar to those identified for EEC. Further exploration of factors that might explain patterns of age- and race-specific incidence rates for uterine sarcoma are needed. More... »

PAGES

727

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2013.2

DOI

http://dx.doi.org/10.1038/bjc.2013.2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013299096

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23348519


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "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": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mixed Tumor, Mullerian", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sarcoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Uterine Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD, USA", 
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Felix", 
        "givenName": "A S", 
        "id": "sg:person.0774234201.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774234201.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of New Mexico", 
          "id": "https://www.grid.ac/institutes/grid.266832.b", 
          "name": [
            "Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cook", 
        "givenName": "L S", 
        "id": "sg:person.01046540754.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046540754.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "American Cancer Society", 
          "id": "https://www.grid.ac/institutes/grid.422418.9", 
          "name": [
            "Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gaudet", 
        "givenName": "M M", 
        "id": "sg:person.01110221360.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110221360.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Albert Einstein College of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.251993.5", 
          "name": [
            "Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rohan", 
        "givenName": "T E", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maastricht University", 
          "id": "https://www.grid.ac/institutes/grid.5012.6", 
          "name": [
            "GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schouten", 
        "givenName": "L J", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Setiawan", 
        "givenName": "V W", 
        "id": "sg:person.01344331034.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344331034.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University", 
          "id": "https://www.grid.ac/institutes/grid.189504.1", 
          "name": [
            "Slone Epidemiology Center at Boston University, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wise", 
        "givenName": "L A", 
        "id": "sg:person.01361114157.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361114157.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anderson", 
        "givenName": "K E", 
        "id": "sg:person.07367766612.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07367766612.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "City Of Hope National Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.410425.6", 
          "name": [
            "Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bernstein", 
        "givenName": "L", 
        "id": "sg:person.01227665360.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227665360.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School, Boston, MA, USA", 
            "Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "De Vivo", 
        "givenName": "I", 
        "id": "sg:person.01004275576.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004275576.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Alberta Health Services", 
          "id": "https://www.grid.ac/institutes/grid.413574.0", 
          "name": [
            "Division of Cancer Care, Alberta Health Services-Cancer Care, Edmonton, Alberta, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Friedenreich", 
        "givenName": "C M", 
        "id": "sg:person.01331401162.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331401162.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "American Cancer Society", 
          "id": "https://www.grid.ac/institutes/grid.422418.9", 
          "name": [
            "Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gapstur", 
        "givenName": "S M", 
        "id": "sg:person.01035265572.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035265572.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Department of Prevention and Health, Netherlands Organisation for Applied Scientific Research (TNO), Leiden, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goldbohm", 
        "givenName": "R A", 
        "id": "sg:person.013430570204.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013430570204.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Henderson", 
        "givenName": "B", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Prevention Institute of California", 
          "id": "https://www.grid.ac/institutes/grid.280669.3", 
          "name": [
            "Cancer Prevention Institute of California, Fremont, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Horn-Ross", 
        "givenName": "P L", 
        "id": "sg:person.011400723277.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011400723277.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Hawaii at Manoa", 
          "id": "https://www.grid.ac/institutes/grid.410445.0", 
          "name": [
            "Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kolonel", 
        "givenName": "L", 
        "id": "sg:person.01232406320.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232406320.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "City Of Hope National Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.410425.6", 
          "name": [
            "Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lacey", 
        "givenName": "J V", 
        "id": "sg:person.0747742220.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747742220.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Epidemiology and Biostatistics, Memorial Sloan\u2013Kettering Cancer Center, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liang", 
        "givenName": "X", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centrum Onkologii Instytut", 
          "id": "https://www.grid.ac/institutes/grid.418165.f", 
          "name": [
            "M Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lissowska", 
        "givenName": "J", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Moffitt Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.468198.a", 
          "name": [
            "Department of Anatomical Pathology, H. Lee Moffitt Cancer Center, Tampa, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Magliocco", 
        "givenName": "A", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "American Cancer Society", 
          "id": "https://www.grid.ac/institutes/grid.422418.9", 
          "name": [
            "Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McCullough", 
        "givenName": "M L", 
        "id": "sg:person.016535101542.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016535101542.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miller", 
        "givenName": "A B", 
        "id": "sg:person.015537413562.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015537413562.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Epidemiology and Biostatistics, Memorial Sloan\u2013Kettering Cancer Center, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Olson", 
        "givenName": "S H", 
        "id": "sg:person.01231127227.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231127227.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University", 
          "id": "https://www.grid.ac/institutes/grid.189504.1", 
          "name": [
            "Slone Epidemiology Center at Boston University, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palmer", 
        "givenName": "J R", 
        "id": "sg:person.01323024461.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323024461.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Y", 
        "id": "sg:person.011421330377.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011421330377.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "American Cancer Society", 
          "id": "https://www.grid.ac/institutes/grid.422418.9", 
          "name": [
            "Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Patel", 
        "givenName": "A V", 
        "id": "sg:person.01103400772.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103400772.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School, Boston, MA, USA", 
            "Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Prescott", 
        "givenName": "J", 
        "id": "sg:person.01116655521.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116655521.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Epidemiology and Biostatistics, Memorial Sloan\u2013Kettering Cancer Center, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rastogi", 
        "givenName": "R", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Robien", 
        "givenName": "K", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University", 
          "id": "https://www.grid.ac/institutes/grid.189504.1", 
          "name": [
            "Slone Epidemiology Center at Boston University, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosenberg", 
        "givenName": "L", 
        "id": "sg:person.0742737707.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742737707.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schairer", 
        "givenName": "C", 
        "id": "sg:person.012256345177.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012256345177.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412807.8", 
          "name": [
            "Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shu", 
        "givenName": "X Ou", 
        "id": "sg:person.015003472057.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015003472057.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maastricht University", 
          "id": "https://www.grid.ac/institutes/grid.5012.6", 
          "name": [
            "GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van den Brandt", 
        "givenName": "P A", 
        "id": "sg:person.0612110754.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612110754.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University", 
          "id": "https://www.grid.ac/institutes/grid.189504.1", 
          "name": [
            "Slone Epidemiology Center at Boston University, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Virkus", 
        "givenName": "R A", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wentzensen", 
        "givenName": "N", 
        "id": "sg:person.0641771506.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641771506.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.419087.3", 
          "name": [
            "Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiang", 
        "givenName": "Y-B", 
        "id": "sg:person.010671751017.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010671751017.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.419087.3", 
          "name": [
            "Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "W-H", 
        "id": "sg:person.010036046157.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010036046157.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "H P", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brinton", 
        "givenName": "L A", 
        "id": "sg:person.01263622305.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263622305.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1525-1438.2007.01025.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004806727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1525-1438.2007.01025.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004806727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1525-1438.2002.01151.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006181553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4065/82.11.1409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007955175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2003.12.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009557754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-008-9290-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013766212", 
          "https://doi.org/10.1007/s10552-008-9290-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-10-1222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015999923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.11484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016625708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19960215)77:4<717::aid-cncr18>3.0.co;2-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019808137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/gyno.2001.6209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021473872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022040392", 
          "https://doi.org/10.1038/nrc1408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022040392", 
          "https://doi.org/10.1038/nrc1408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19891215)64:12<2487::aid-cncr2820641214>3.0.co;2-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022637716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008946825313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026622663", 
          "https://doi.org/10.1023/a:1008946825313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/erc-10-0053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027406693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910490308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028546109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2010.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035228983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-05-0394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035753301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijgo.2008.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036148135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdq464", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037069278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037219382", 
          "https://doi.org/10.1038/modpathol.3880335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037219382", 
          "https://doi.org/10.1038/modpathol.3880335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2011.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039660511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2009.09.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044079369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.maturitas.2012.01.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049802294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2010-2050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064292438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076843387", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078634469", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079590971", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/76.3.399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079759648"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-02", 
    "datePublishedReg": "2013-02-01", 
    "description": "BACKGROUND: Uterine sarcomas are characterised by early age at diagnosis, poor prognosis, and higher incidence among Black compared with White women, but their aetiology is poorly understood. Therefore, we performed a pooled analysis of data collected in the Epidemiology of Endometrial Cancer Consortium. We also examined risk factor associations for malignant mixed mullerian tumours (MMMTs) and endometrioid endometrial carcinomas (EECs) for comparison purposes.\nMETHODS: We pooled data on 229 uterine sarcomas, 244 MMMTs, 7623 EEC cases, and 28,829 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) for risk factors associated with uterine sarcoma, MMMT, and EEC were estimated with polytomous logistic regression. We also examined associations between epidemiological factors and histological subtypes of uterine sarcoma.\nRESULTS: Significant risk factors for uterine sarcoma included obesity (body mass index (BMI)\u226530 vs BMI<25 kg m(-2) (OR: 1.73, 95% CI: 1.22-2.46), P-trend=0.008) and history of diabetes (OR: 2.33, 95% CI: 1.41-3.83). Older age at menarche was inversely associated with uterine sarcoma risk (\u226515 years vs <11 years (OR: 0.70, 95% CI: 0.34-1.44), P-trend: 0.04). BMI was significantly, but less strongly related to uterine sarcomas compared with EECs (OR: 3.03, 95% CI: 2.82-3.26) or MMMTs (OR: 2.25, 95% CI: 1.60-3.15, P-heterogeneity=0.01).\nCONCLUSION: In the largest aetiological study of uterine sarcomas, associations between menstrual, hormonal, and anthropometric risk factors and uterine sarcoma were similar to those identified for EEC. Further exploration of factors that might explain patterns of age- and race-specific incidence rates for uterine sarcoma are needed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/bjc.2013.2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2438793", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2705359", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2468421", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2724426", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2473590", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2471354", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "108"
      }
    ], 
    "name": "The etiology of uterine sarcomas: a pooled analysis of the epidemiology of endometrial cancer consortium", 
    "pagination": "727", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3f5ad495a1032593857c09851ec9f1887b0c921adc733e9be04e8cbc6d2eb4cc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23348519"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bjc.2013.2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013299096"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bjc.2013.2", 
      "https://app.dimensions.ai/details/publication/pub.1013299096"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:05", 
    "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_8695_00000434.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/bjc20132"
  }
]
 

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/bjc.2013.2'

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/bjc.2013.2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2013.2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2013.2'


 

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

542 TRIPLES      21 PREDICATES      72 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bjc.2013.2 schema:about N032d2109fa5448b3a19a460849cbf9c8
2 N22e7b521e6a147a788b429881751b320
3 N267ff7ac3d624ed0aafcc83f32904694
4 N3dba4d523b96486393cb502955ebaf83
5 N3e7289ef46e2464899c15a358852de9b
6 N88e69c514d074a109cdbee50c6266d0c
7 Nb7949f6312784b2b81af0b860752ea50
8 Nbbac601ab4634013add36a18f669a80c
9 Ncaa902f6ea104842bb639e87de589742
10 Ndee3f2cc5cad4961865d50edd3254d8d
11 Ndf713fad71a04c78b8eb351055451d6f
12 Ne517bc624de34b88b5ba1f8cf1b2101a
13 Ne8376e7a42454106806dad9df325dd02
14 Nfaea69fe905a4a859091bf3ef56b3696
15 Nfc41a5c5846e49b6b4c2acabe9f0ab39
16 Nfdfb30c80f36477b8793f9b4827c4b29
17 anzsrc-for:11
18 anzsrc-for:1117
19 schema:author N8b0ecd00be654243b487262460d80c32
20 schema:citation sg:pub.10.1007/s10552-008-9290-y
21 sg:pub.10.1023/a:1008946825313
22 sg:pub.10.1038/modpathol.3880335
23 sg:pub.10.1038/nrc1408
24 https://app.dimensions.ai/details/publication/pub.1076843387
25 https://app.dimensions.ai/details/publication/pub.1078634469
26 https://app.dimensions.ai/details/publication/pub.1079590971
27 https://doi.org/10.1002/(sici)1097-0142(19960215)77:4<717::aid-cncr18>3.0.co;2-3
28 https://doi.org/10.1002/1097-0142(19891215)64:12<2487::aid-cncr2820641214>3.0.co;2-k
29 https://doi.org/10.1002/cncr.11484
30 https://doi.org/10.1002/ijc.2910490308
31 https://doi.org/10.1006/gyno.2001.6209
32 https://doi.org/10.1016/j.humpath.2010.12.005
33 https://doi.org/10.1016/j.ijgo.2008.12.008
34 https://doi.org/10.1016/j.maturitas.2012.01.021
35 https://doi.org/10.1016/j.ygyno.2003.12.029
36 https://doi.org/10.1016/j.ygyno.2009.09.023
37 https://doi.org/10.1016/j.ygyno.2011.04.003
38 https://doi.org/10.1046/j.1525-1438.2002.01151.x
39 https://doi.org/10.1093/annonc/mdq464
40 https://doi.org/10.1093/jnci/76.3.399
41 https://doi.org/10.1111/j.1525-1438.2007.01025.x
42 https://doi.org/10.1158/1055-9965.epi-05-0394
43 https://doi.org/10.1158/1055-9965.epi-10-1222
44 https://doi.org/10.1210/jc.2010-2050
45 https://doi.org/10.1677/erc-10-0053
46 https://doi.org/10.4065/82.11.1409
47 schema:datePublished 2013-02
48 schema:datePublishedReg 2013-02-01
49 schema:description BACKGROUND: Uterine sarcomas are characterised by early age at diagnosis, poor prognosis, and higher incidence among Black compared with White women, but their aetiology is poorly understood. Therefore, we performed a pooled analysis of data collected in the Epidemiology of Endometrial Cancer Consortium. We also examined risk factor associations for malignant mixed mullerian tumours (MMMTs) and endometrioid endometrial carcinomas (EECs) for comparison purposes. METHODS: We pooled data on 229 uterine sarcomas, 244 MMMTs, 7623 EEC cases, and 28,829 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) for risk factors associated with uterine sarcoma, MMMT, and EEC were estimated with polytomous logistic regression. We also examined associations between epidemiological factors and histological subtypes of uterine sarcoma. RESULTS: Significant risk factors for uterine sarcoma included obesity (body mass index (BMI)≥30 vs BMI<25 kg m(-2) (OR: 1.73, 95% CI: 1.22-2.46), P-trend=0.008) and history of diabetes (OR: 2.33, 95% CI: 1.41-3.83). Older age at menarche was inversely associated with uterine sarcoma risk (≥15 years vs <11 years (OR: 0.70, 95% CI: 0.34-1.44), P-trend: 0.04). BMI was significantly, but less strongly related to uterine sarcomas compared with EECs (OR: 3.03, 95% CI: 2.82-3.26) or MMMTs (OR: 2.25, 95% CI: 1.60-3.15, P-heterogeneity=0.01). CONCLUSION: In the largest aetiological study of uterine sarcomas, associations between menstrual, hormonal, and anthropometric risk factors and uterine sarcoma were similar to those identified for EEC. Further exploration of factors that might explain patterns of age- and race-specific incidence rates for uterine sarcoma are needed.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree true
53 schema:isPartOf Na5c29a26a3bf406295715b2b56bb87c3
54 Nb4a58c7e5f6146f0bc8787aec9a17b6d
55 sg:journal.1017082
56 schema:name The etiology of uterine sarcomas: a pooled analysis of the epidemiology of endometrial cancer consortium
57 schema:pagination 727
58 schema:productId N249f7e7aef4f4bf4bb67c7821e7ca6e1
59 N4d6d46b3200844adb91b4169128b4edd
60 N9ad6b2505b8c4c0fbb106e7f91bf0715
61 Ndc9f852233954ca1ac59ed5a1e234819
62 Nfbd0426edbb044c88d7110adb4a43ad9
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013299096
64 https://doi.org/10.1038/bjc.2013.2
65 schema:sdDatePublished 2019-04-11T00:05
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher N7475c823826d49ad854dbfb4ff5b5764
68 schema:url https://www.nature.com/articles/bjc20132
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N032d2109fa5448b3a19a460849cbf9c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Case-Control Studies
74 rdf:type schema:DefinedTerm
75 N05653890029545b6ba52a8c02bf34600 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
76 schema:familyName Yang
77 schema:givenName H P
78 rdf:type schema:Person
79 N09e0ecedc74745dc9a0f5fd514031834 rdf:first sg:person.0747742220.33
80 rdf:rest N31b3d27c1a924410a556427295069b80
81 N0eb08a674ba640138e60eb660b8a81e0 rdf:first sg:person.012256345177.80
82 rdf:rest N97d2d5a6ddb54bad860002b10f7836ad
83 N143164a118054eeaa03b67fb985dcd8c schema:affiliation https://www.grid.ac/institutes/grid.42505.36
84 schema:familyName Henderson
85 schema:givenName B
86 rdf:type schema:Person
87 N1540188b80744120a83b5c89c579fc03 schema:affiliation https://www.grid.ac/institutes/grid.5012.6
88 schema:familyName Schouten
89 schema:givenName L J
90 rdf:type schema:Person
91 N15e57f1f8feb435789d35afff63ac5b3 rdf:first N5737475049254abc8fe6a7258a565802
92 rdf:rest N44bcfd4b41874142a5972fb5b9bd0d57
93 N18d73389747647b8bfe8a384f93b1d8a rdf:first N89fff8c4f4254c409ab085ff3f19f23c
94 rdf:rest N584ad056be1b45128013f523b264c681
95 N1d345cc983e244d893a8c1829a56940c rdf:first sg:person.01344331034.38
96 rdf:rest Nc6f45ae7df1e4714ad9479192e6bd896
97 N22239a56e9014e01a0a1b8086e072cc8 rdf:first sg:person.01231127227.78
98 rdf:rest Ne803c9bebf3941e2a1329491a8607475
99 N22e7b521e6a147a788b429881751b320 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Uterine Neoplasms
101 rdf:type schema:DefinedTerm
102 N247648f5965f44969d0643121d1f123e rdf:first sg:person.01232406320.20
103 rdf:rest N09e0ecedc74745dc9a0f5fd514031834
104 N249f7e7aef4f4bf4bb67c7821e7ca6e1 schema:name pubmed_id
105 schema:value 23348519
106 rdf:type schema:PropertyValue
107 N267ff7ac3d624ed0aafcc83f32904694 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Aged
109 rdf:type schema:DefinedTerm
110 N2923a922206243df8a1079b0d074e9d4 rdf:first sg:person.01046540754.39
111 rdf:rest N57e434be4cd14c3492976c79350cd4a9
112 N2a06e57ceb6f4f35a596fff9731b1b86 rdf:first sg:person.013430570204.54
113 rdf:rest N64f6675f5f3e41e499350331447c9538
114 N31b3d27c1a924410a556427295069b80 rdf:first Nfda02ebad07f4d86a88e7368c8908a02
115 rdf:rest Nc10d80a01af64344a8d1f813517ea9c8
116 N3953e313f9944f9c8ad98c13ec474d81 rdf:first sg:person.016535101542.94
117 rdf:rest Nda1cc789788e4338a4ba0815baac1112
118 N3b0bb76cfe3745baa3f64fcf03138c47 rdf:first sg:person.01116655521.06
119 rdf:rest N15e57f1f8feb435789d35afff63ac5b3
120 N3dba4d523b96486393cb502955ebaf83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Prognosis
122 rdf:type schema:DefinedTerm
123 N3e7289ef46e2464899c15a358852de9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Mixed Tumor, Mullerian
125 rdf:type schema:DefinedTerm
126 N44bcfd4b41874142a5972fb5b9bd0d57 rdf:first Nb10ad8685e6a443f966f530bd251bbbe
127 rdf:rest N8e6af8bb8fdd4fd990a0be519e79f237
128 N44e286de03ec4f7a89c669e177cfcbe1 rdf:first sg:person.010671751017.22
129 rdf:rest N59ecc0f5575742a49f2cb4e64889b79a
130 N4d6d46b3200844adb91b4169128b4edd schema:name dimensions_id
131 schema:value pub.1013299096
132 rdf:type schema:PropertyValue
133 N5124b9daec0e48c5a5bddcba364780de rdf:first N05653890029545b6ba52a8c02bf34600
134 rdf:rest N5abee9b51f8d42fa9e39f1773f1cfe50
135 N5737475049254abc8fe6a7258a565802 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
136 schema:familyName Rastogi
137 schema:givenName R
138 rdf:type schema:Person
139 N57e434be4cd14c3492976c79350cd4a9 rdf:first sg:person.01110221360.02
140 rdf:rest N18d73389747647b8bfe8a384f93b1d8a
141 N584ad056be1b45128013f523b264c681 rdf:first N1540188b80744120a83b5c89c579fc03
142 rdf:rest N1d345cc983e244d893a8c1829a56940c
143 N59ecc0f5575742a49f2cb4e64889b79a rdf:first sg:person.010036046157.42
144 rdf:rest N5124b9daec0e48c5a5bddcba364780de
145 N5abee9b51f8d42fa9e39f1773f1cfe50 rdf:first sg:person.01263622305.88
146 rdf:rest rdf:nil
147 N5b4a4f21e9994bad9bea1c41fd3d150f rdf:first sg:person.0612110754.69
148 rdf:rest N5c21c1d9fc4d4020b1d48821e6f20f8a
149 N5c21c1d9fc4d4020b1d48821e6f20f8a rdf:first Nb22ed811d60e4d1e9b8cfab70ad1d8a4
150 rdf:rest N721b4388d89f4bce92b60043a4420050
151 N64f6675f5f3e41e499350331447c9538 rdf:first N143164a118054eeaa03b67fb985dcd8c
152 rdf:rest Ne0e52670797d45c8970f6c3c2f133782
153 N721b4388d89f4bce92b60043a4420050 rdf:first sg:person.0641771506.05
154 rdf:rest N44e286de03ec4f7a89c669e177cfcbe1
155 N7475c823826d49ad854dbfb4ff5b5764 schema:name Springer Nature - SN SciGraph project
156 rdf:type schema:Organization
157 N74da5fafe2e74f5fa688a63c47732827 rdf:first sg:person.01227665360.37
158 rdf:rest Na1f43903cea142ec97d50dcbb2f33747
159 N88e69c514d074a109cdbee50c6266d0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Humans
161 rdf:type schema:DefinedTerm
162 N89fff8c4f4254c409ab085ff3f19f23c schema:affiliation https://www.grid.ac/institutes/grid.251993.5
163 schema:familyName Rohan
164 schema:givenName T E
165 rdf:type schema:Person
166 N8b0ecd00be654243b487262460d80c32 rdf:first sg:person.0774234201.73
167 rdf:rest N2923a922206243df8a1079b0d074e9d4
168 N8e6af8bb8fdd4fd990a0be519e79f237 rdf:first sg:person.0742737707.24
169 rdf:rest N0eb08a674ba640138e60eb660b8a81e0
170 N91ad9f344ad04684ae515a523c876559 schema:affiliation https://www.grid.ac/institutes/grid.468198.a
171 schema:familyName Magliocco
172 schema:givenName A
173 rdf:type schema:Person
174 N91b6cbf3f68f42888d79b42b1fcbd352 rdf:first sg:person.011421330377.52
175 rdf:rest N9e056a5a1b7c451586d291e41156f0af
176 N960a89a995e94c4fb9d23818f98d9430 rdf:first sg:person.07367766612.24
177 rdf:rest N74da5fafe2e74f5fa688a63c47732827
178 N97d2d5a6ddb54bad860002b10f7836ad rdf:first sg:person.015003472057.84
179 rdf:rest N5b4a4f21e9994bad9bea1c41fd3d150f
180 N9ad6b2505b8c4c0fbb106e7f91bf0715 schema:name doi
181 schema:value 10.1038/bjc.2013.2
182 rdf:type schema:PropertyValue
183 N9e056a5a1b7c451586d291e41156f0af rdf:first sg:person.01103400772.12
184 rdf:rest N3b0bb76cfe3745baa3f64fcf03138c47
185 N9e321f6519ab4d6596fdf212afe0d197 schema:affiliation https://www.grid.ac/institutes/grid.418165.f
186 schema:familyName Lissowska
187 schema:givenName J
188 rdf:type schema:Person
189 Na1f43903cea142ec97d50dcbb2f33747 rdf:first sg:person.01004275576.99
190 rdf:rest Ne0400c77f59f4d1d87efa6e4fcd3dc1d
191 Na5c29a26a3bf406295715b2b56bb87c3 schema:volumeNumber 108
192 rdf:type schema:PublicationVolume
193 Nb0679a3483a84813b5fd2aad579a33bd rdf:first sg:person.01035265572.24
194 rdf:rest N2a06e57ceb6f4f35a596fff9731b1b86
195 Nb10ad8685e6a443f966f530bd251bbbe schema:affiliation https://www.grid.ac/institutes/grid.17635.36
196 schema:familyName Robien
197 schema:givenName K
198 rdf:type schema:Person
199 Nb22ed811d60e4d1e9b8cfab70ad1d8a4 schema:affiliation https://www.grid.ac/institutes/grid.189504.1
200 schema:familyName Virkus
201 schema:givenName R A
202 rdf:type schema:Person
203 Nb4a58c7e5f6146f0bc8787aec9a17b6d schema:issueNumber 3
204 rdf:type schema:PublicationIssue
205 Nb7949f6312784b2b81af0b860752ea50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Follow-Up Studies
207 rdf:type schema:DefinedTerm
208 Nb7e429b95aa6424b9b43033b0581c65b rdf:first N91ad9f344ad04684ae515a523c876559
209 rdf:rest N3953e313f9944f9c8ad98c13ec474d81
210 Nbbac601ab4634013add36a18f669a80c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
211 schema:name Risk Factors
212 rdf:type schema:DefinedTerm
213 Nc10d80a01af64344a8d1f813517ea9c8 rdf:first N9e321f6519ab4d6596fdf212afe0d197
214 rdf:rest Nb7e429b95aa6424b9b43033b0581c65b
215 Nc6f45ae7df1e4714ad9479192e6bd896 rdf:first sg:person.01361114157.12
216 rdf:rest N960a89a995e94c4fb9d23818f98d9430
217 Ncaa902f6ea104842bb639e87de589742 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
218 schema:name Female
219 rdf:type schema:DefinedTerm
220 Nda1cc789788e4338a4ba0815baac1112 rdf:first sg:person.015537413562.15
221 rdf:rest N22239a56e9014e01a0a1b8086e072cc8
222 Ndc9f852233954ca1ac59ed5a1e234819 schema:name nlm_unique_id
223 schema:value 0370635
224 rdf:type schema:PropertyValue
225 Ndee3f2cc5cad4961865d50edd3254d8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
226 schema:name Endometrial Neoplasms
227 rdf:type schema:DefinedTerm
228 Ndf713fad71a04c78b8eb351055451d6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
229 schema:name United States
230 rdf:type schema:DefinedTerm
231 Ne0400c77f59f4d1d87efa6e4fcd3dc1d rdf:first sg:person.01331401162.85
232 rdf:rest Nb0679a3483a84813b5fd2aad579a33bd
233 Ne0e52670797d45c8970f6c3c2f133782 rdf:first sg:person.011400723277.64
234 rdf:rest N247648f5965f44969d0643121d1f123e
235 Ne517bc624de34b88b5ba1f8cf1b2101a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
236 schema:name Middle Aged
237 rdf:type schema:DefinedTerm
238 Ne803c9bebf3941e2a1329491a8607475 rdf:first sg:person.01323024461.91
239 rdf:rest N91b6cbf3f68f42888d79b42b1fcbd352
240 Ne8376e7a42454106806dad9df325dd02 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
241 schema:name Incidence
242 rdf:type schema:DefinedTerm
243 Nfaea69fe905a4a859091bf3ef56b3696 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
244 schema:name Obesity
245 rdf:type schema:DefinedTerm
246 Nfbd0426edbb044c88d7110adb4a43ad9 schema:name readcube_id
247 schema:value 3f5ad495a1032593857c09851ec9f1887b0c921adc733e9be04e8cbc6d2eb4cc
248 rdf:type schema:PropertyValue
249 Nfc41a5c5846e49b6b4c2acabe9f0ab39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
250 schema:name Body Mass Index
251 rdf:type schema:DefinedTerm
252 Nfda02ebad07f4d86a88e7368c8908a02 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
253 schema:familyName Liang
254 schema:givenName X
255 rdf:type schema:Person
256 Nfdfb30c80f36477b8793f9b4827c4b29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
257 schema:name Sarcoma
258 rdf:type schema:DefinedTerm
259 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
260 schema:name Medical and Health Sciences
261 rdf:type schema:DefinedTerm
262 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
263 schema:name Public Health and Health Services
264 rdf:type schema:DefinedTerm
265 sg:grant.2438793 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2013.2
266 rdf:type schema:MonetaryGrant
267 sg:grant.2468421 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2013.2
268 rdf:type schema:MonetaryGrant
269 sg:grant.2471354 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2013.2
270 rdf:type schema:MonetaryGrant
271 sg:grant.2473590 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2013.2
272 rdf:type schema:MonetaryGrant
273 sg:grant.2705359 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2013.2
274 rdf:type schema:MonetaryGrant
275 sg:grant.2724426 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2013.2
276 rdf:type schema:MonetaryGrant
277 sg:journal.1017082 schema:issn 0007-0920
278 1532-1827
279 schema:name British Journal of Cancer
280 rdf:type schema:Periodical
281 sg:person.010036046157.42 schema:affiliation https://www.grid.ac/institutes/grid.419087.3
282 schema:familyName Xu
283 schema:givenName W-H
284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010036046157.42
285 rdf:type schema:Person
286 sg:person.01004275576.99 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
287 schema:familyName De Vivo
288 schema:givenName I
289 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004275576.99
290 rdf:type schema:Person
291 sg:person.01035265572.24 schema:affiliation https://www.grid.ac/institutes/grid.422418.9
292 schema:familyName Gapstur
293 schema:givenName S M
294 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035265572.24
295 rdf:type schema:Person
296 sg:person.01046540754.39 schema:affiliation https://www.grid.ac/institutes/grid.266832.b
297 schema:familyName Cook
298 schema:givenName L S
299 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046540754.39
300 rdf:type schema:Person
301 sg:person.010671751017.22 schema:affiliation https://www.grid.ac/institutes/grid.419087.3
302 schema:familyName Xiang
303 schema:givenName Y-B
304 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010671751017.22
305 rdf:type schema:Person
306 sg:person.01103400772.12 schema:affiliation https://www.grid.ac/institutes/grid.422418.9
307 schema:familyName Patel
308 schema:givenName A V
309 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103400772.12
310 rdf:type schema:Person
311 sg:person.01110221360.02 schema:affiliation https://www.grid.ac/institutes/grid.422418.9
312 schema:familyName Gaudet
313 schema:givenName M M
314 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110221360.02
315 rdf:type schema:Person
316 sg:person.01116655521.06 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
317 schema:familyName Prescott
318 schema:givenName J
319 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116655521.06
320 rdf:type schema:Person
321 sg:person.011400723277.64 schema:affiliation https://www.grid.ac/institutes/grid.280669.3
322 schema:familyName Horn-Ross
323 schema:givenName P L
324 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011400723277.64
325 rdf:type schema:Person
326 sg:person.011421330377.52 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
327 schema:familyName Park
328 schema:givenName Y
329 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011421330377.52
330 rdf:type schema:Person
331 sg:person.012256345177.80 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
332 schema:familyName Schairer
333 schema:givenName C
334 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012256345177.80
335 rdf:type schema:Person
336 sg:person.01227665360.37 schema:affiliation https://www.grid.ac/institutes/grid.410425.6
337 schema:familyName Bernstein
338 schema:givenName L
339 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227665360.37
340 rdf:type schema:Person
341 sg:person.01231127227.78 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
342 schema:familyName Olson
343 schema:givenName S H
344 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231127227.78
345 rdf:type schema:Person
346 sg:person.01232406320.20 schema:affiliation https://www.grid.ac/institutes/grid.410445.0
347 schema:familyName Kolonel
348 schema:givenName L
349 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232406320.20
350 rdf:type schema:Person
351 sg:person.01263622305.88 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
352 schema:familyName Brinton
353 schema:givenName L A
354 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263622305.88
355 rdf:type schema:Person
356 sg:person.01323024461.91 schema:affiliation https://www.grid.ac/institutes/grid.189504.1
357 schema:familyName Palmer
358 schema:givenName J R
359 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323024461.91
360 rdf:type schema:Person
361 sg:person.01331401162.85 schema:affiliation https://www.grid.ac/institutes/grid.413574.0
362 schema:familyName Friedenreich
363 schema:givenName C M
364 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331401162.85
365 rdf:type schema:Person
366 sg:person.013430570204.54 schema:affiliation https://www.grid.ac/institutes/grid.4858.1
367 schema:familyName Goldbohm
368 schema:givenName R A
369 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013430570204.54
370 rdf:type schema:Person
371 sg:person.01344331034.38 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
372 schema:familyName Setiawan
373 schema:givenName V W
374 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344331034.38
375 rdf:type schema:Person
376 sg:person.01361114157.12 schema:affiliation https://www.grid.ac/institutes/grid.189504.1
377 schema:familyName Wise
378 schema:givenName L A
379 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361114157.12
380 rdf:type schema:Person
381 sg:person.015003472057.84 schema:affiliation https://www.grid.ac/institutes/grid.412807.8
382 schema:familyName Shu
383 schema:givenName X Ou
384 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015003472057.84
385 rdf:type schema:Person
386 sg:person.015537413562.15 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
387 schema:familyName Miller
388 schema:givenName A B
389 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015537413562.15
390 rdf:type schema:Person
391 sg:person.016535101542.94 schema:affiliation https://www.grid.ac/institutes/grid.422418.9
392 schema:familyName McCullough
393 schema:givenName M L
394 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016535101542.94
395 rdf:type schema:Person
396 sg:person.0612110754.69 schema:affiliation https://www.grid.ac/institutes/grid.5012.6
397 schema:familyName van den Brandt
398 schema:givenName P A
399 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612110754.69
400 rdf:type schema:Person
401 sg:person.0641771506.05 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
402 schema:familyName Wentzensen
403 schema:givenName N
404 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641771506.05
405 rdf:type schema:Person
406 sg:person.07367766612.24 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
407 schema:familyName Anderson
408 schema:givenName K E
409 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07367766612.24
410 rdf:type schema:Person
411 sg:person.0742737707.24 schema:affiliation https://www.grid.ac/institutes/grid.189504.1
412 schema:familyName Rosenberg
413 schema:givenName L
414 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742737707.24
415 rdf:type schema:Person
416 sg:person.0747742220.33 schema:affiliation https://www.grid.ac/institutes/grid.410425.6
417 schema:familyName Lacey
418 schema:givenName J V
419 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747742220.33
420 rdf:type schema:Person
421 sg:person.0774234201.73 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
422 schema:familyName Felix
423 schema:givenName A S
424 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774234201.73
425 rdf:type schema:Person
426 sg:pub.10.1007/s10552-008-9290-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1013766212
427 https://doi.org/10.1007/s10552-008-9290-y
428 rdf:type schema:CreativeWork
429 sg:pub.10.1023/a:1008946825313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026622663
430 https://doi.org/10.1023/a:1008946825313
431 rdf:type schema:CreativeWork
432 sg:pub.10.1038/modpathol.3880335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037219382
433 https://doi.org/10.1038/modpathol.3880335
434 rdf:type schema:CreativeWork
435 sg:pub.10.1038/nrc1408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022040392
436 https://doi.org/10.1038/nrc1408
437 rdf:type schema:CreativeWork
438 https://app.dimensions.ai/details/publication/pub.1076843387 schema:CreativeWork
439 https://app.dimensions.ai/details/publication/pub.1078634469 schema:CreativeWork
440 https://app.dimensions.ai/details/publication/pub.1079590971 schema:CreativeWork
441 https://doi.org/10.1002/(sici)1097-0142(19960215)77:4<717::aid-cncr18>3.0.co;2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019808137
442 rdf:type schema:CreativeWork
443 https://doi.org/10.1002/1097-0142(19891215)64:12<2487::aid-cncr2820641214>3.0.co;2-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1022637716
444 rdf:type schema:CreativeWork
445 https://doi.org/10.1002/cncr.11484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016625708
446 rdf:type schema:CreativeWork
447 https://doi.org/10.1002/ijc.2910490308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028546109
448 rdf:type schema:CreativeWork
449 https://doi.org/10.1006/gyno.2001.6209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021473872
450 rdf:type schema:CreativeWork
451 https://doi.org/10.1016/j.humpath.2010.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035228983
452 rdf:type schema:CreativeWork
453 https://doi.org/10.1016/j.ijgo.2008.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036148135
454 rdf:type schema:CreativeWork
455 https://doi.org/10.1016/j.maturitas.2012.01.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049802294
456 rdf:type schema:CreativeWork
457 https://doi.org/10.1016/j.ygyno.2003.12.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009557754
458 rdf:type schema:CreativeWork
459 https://doi.org/10.1016/j.ygyno.2009.09.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044079369
460 rdf:type schema:CreativeWork
461 https://doi.org/10.1016/j.ygyno.2011.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039660511
462 rdf:type schema:CreativeWork
463 https://doi.org/10.1046/j.1525-1438.2002.01151.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006181553
464 rdf:type schema:CreativeWork
465 https://doi.org/10.1093/annonc/mdq464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037069278
466 rdf:type schema:CreativeWork
467 https://doi.org/10.1093/jnci/76.3.399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079759648
468 rdf:type schema:CreativeWork
469 https://doi.org/10.1111/j.1525-1438.2007.01025.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004806727
470 rdf:type schema:CreativeWork
471 https://doi.org/10.1158/1055-9965.epi-05-0394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035753301
472 rdf:type schema:CreativeWork
473 https://doi.org/10.1158/1055-9965.epi-10-1222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015999923
474 rdf:type schema:CreativeWork
475 https://doi.org/10.1210/jc.2010-2050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064292438
476 rdf:type schema:CreativeWork
477 https://doi.org/10.1677/erc-10-0053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027406693
478 rdf:type schema:CreativeWork
479 https://doi.org/10.4065/82.11.1409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007955175
480 rdf:type schema:CreativeWork
481 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
482 schema:name Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
483 rdf:type schema:Organization
484 https://www.grid.ac/institutes/grid.17635.36 schema:alternateName University of Minnesota
485 schema:name Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
486 rdf:type schema:Organization
487 https://www.grid.ac/institutes/grid.189504.1 schema:alternateName Boston University
488 schema:name Slone Epidemiology Center at Boston University, Boston, MA, USA
489 rdf:type schema:Organization
490 https://www.grid.ac/institutes/grid.251993.5 schema:alternateName Albert Einstein College of Medicine
491 schema:name Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
492 rdf:type schema:Organization
493 https://www.grid.ac/institutes/grid.266832.b schema:alternateName University of New Mexico
494 schema:name Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
495 rdf:type schema:Organization
496 https://www.grid.ac/institutes/grid.280669.3 schema:alternateName Cancer Prevention Institute of California
497 schema:name Cancer Prevention Institute of California, Fremont, CA, USA
498 rdf:type schema:Organization
499 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
500 schema:name Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
501 Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
502 rdf:type schema:Organization
503 https://www.grid.ac/institutes/grid.410425.6 schema:alternateName City Of Hope National Medical Center
504 schema:name Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
505 rdf:type schema:Organization
506 https://www.grid.ac/institutes/grid.410445.0 schema:alternateName University of Hawaii at Manoa
507 schema:name Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
508 rdf:type schema:Organization
509 https://www.grid.ac/institutes/grid.412807.8 schema:alternateName Vanderbilt University Medical Center
510 schema:name Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
511 rdf:type schema:Organization
512 https://www.grid.ac/institutes/grid.413574.0 schema:alternateName Alberta Health Services
513 schema:name Division of Cancer Care, Alberta Health Services-Cancer Care, Edmonton, Alberta, Canada
514 rdf:type schema:Organization
515 https://www.grid.ac/institutes/grid.418165.f schema:alternateName Centrum Onkologii Instytut
516 schema:name M Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
517 rdf:type schema:Organization
518 https://www.grid.ac/institutes/grid.419087.3 schema:alternateName Shanghai Cancer Institute
519 schema:name Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
520 rdf:type schema:Organization
521 https://www.grid.ac/institutes/grid.422418.9 schema:alternateName American Cancer Society
522 schema:name Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
523 rdf:type schema:Organization
524 https://www.grid.ac/institutes/grid.42505.36 schema:alternateName University of Southern California
525 schema:name Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
526 rdf:type schema:Organization
527 https://www.grid.ac/institutes/grid.468198.a schema:alternateName Moffitt Cancer Center
528 schema:name Department of Anatomical Pathology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
529 rdf:type schema:Organization
530 https://www.grid.ac/institutes/grid.48336.3a schema:alternateName National Cancer Institute
531 schema:name Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
532 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
533 rdf:type schema:Organization
534 https://www.grid.ac/institutes/grid.4858.1 schema:alternateName Netherlands Organisation for Applied Scientific Research
535 schema:name Department of Prevention and Health, Netherlands Organisation for Applied Scientific Research (TNO), Leiden, The Netherlands
536 rdf:type schema:Organization
537 https://www.grid.ac/institutes/grid.5012.6 schema:alternateName Maastricht University
538 schema:name GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
539 rdf:type schema:Organization
540 https://www.grid.ac/institutes/grid.51462.34 schema:alternateName Memorial Sloan Kettering Cancer Center
541 schema:name Epidemiology and Biostatistics, Memorial Sloan–Kettering Cancer Center, New York, NY, USA
542 rdf:type schema:Organization
 




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


...