Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-11-10

AUTHORS

Hélène Lasolle, Mad-Hélénie Elsensohn, Anne Wierinckx, Eudeline Alix, Clément Bonnefille, Alexandre Vasiljevic, Christine Cortet, Bénédicte Decoudier, Nathalie Sturm, Stephan Gaillard, Amandine Ferrière, Pascal Roy, Emmanuel Jouanneau, Philippe Bertolino, Claire Bardel, Damien Sanlaville, Gérald Raverot

ABSTRACT

The purpose of this study was to analyze the impact of copy number variations (CNV) on sporadic pituitary neuroendocrine tumors (PitNETs) prognosis, to identify specific prognosis markers according to the known clinico-pathological classification. CGH array analysis was performed on 195 fresh-frozen PitNETs (56 gonadotroph, 11 immunonegative, 56 somatotroph, 39 lactotroph and 33 corticotroph), with 5 years post-surgery follow-up (124 recurrences), classified according to the five-tiered grading classification (invasion, Ki-67, mitotic index and p53 positivity). Effect of alterations on recurrence was studied using logistic regression models. Transcriptomic analysis of 32 lactotroph tumors was performed. The quantity of CNV was dependent on tumor type: higher in lactotroph (median(min–max) = 38% (0–97) of probes) compared to corticotroph (11% (0–77)), somatotroph (5% (0–99)), gonadotroph (0% (0–10)) and immunonegative tumors (0% (0–17). It was not predictive of recurrence in the whole cohort. In lactotroph tumors, genome instability, especially quantity of gains, significantly predicted recurrence independently of invasion and proliferation (p-value = 0.02, OR = 1.2). However, no specific CNV was found as a prognostic marker. Transcriptomic analysis of the genes included in the CNV and associated with prognosis didn’t show significantly overrepresented pathway. In somatotroph and corticotroph tumors, USP8 and GNAS mutations were not associated with genome disruption or recurrence respectively. To conclude, CGH array analysis showed genome instability was dependent on PitNET type. Lactotroph tumors were highly altered and the quantity of altered genome was associated with poorer prognosis though the mechanism is unclear, whereas gonadotroph and immunonegative tumors showed the same ‘quiet’ profile, leaving the mechanism underlying tumorigenesis open to question. More... »

PAGES

190

Journal

TITLE

Acta Neuropathologica Communications

ISSUE

1

VOLUME

8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40478-020-01067-5

DOI

http://dx.doi.org/10.1186/s40478-020-01067-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1132463880

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33168091


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "ACTH-Secreting Pituitary Adenoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromogranins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosomal Instability", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Comparative Genomic Hybridization", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Copy Number Variations", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endopeptidases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endosomal Sorting Complexes Required for Transport", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "GTP-Binding Protein alpha Subunits, Gs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genomic Instability", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gonadotrophs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Growth Hormone-Secreting Pituitary Adenoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Loss of Heterozygosity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Recurrence, Local", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neuroendocrine Tumors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pituitary Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prolactinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ubiquitin Thiolesterase", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.462282.8", 
          "name": [
            "F\u00e9d\u00e9ration d\u2019endocrinologie, Centre de R\u00e9f\u00e9rence des Maladies Rares Hypophysaires, Groupement Hospitalier Est, Hospices Civils de Lyon, 8 av Doyen Lepine, 69677, Bron Cedex, France", 
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lasolle", 
        "givenName": "H\u00e9l\u00e8ne", 
        "id": "sg:person.015626163301.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015626163301.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "\u00c9quipe Biostatistique-Sant\u00e9, Laboratoire de Biom\u00e9trie et Biologie \u00c9volutive, CNRS UMR 5558, Villeurbanne, France", 
          "id": "http://www.grid.ac/institutes/grid.462854.9", 
          "name": [
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "Service de Biostatistique-Bioinformatique, Hospices Civils de Lyon, Lyon, France", 
            "\u00c9quipe Biostatistique-Sant\u00e9, Laboratoire de Biom\u00e9trie et Biologie \u00c9volutive, CNRS UMR 5558, Villeurbanne, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elsensohn", 
        "givenName": "Mad-H\u00e9l\u00e9nie", 
        "id": "sg:person.0724441045.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724441045.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "ProfileXpert, SFR-Est, CNRS UMR-S3453, INSERM US7, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.4444.0", 
          "name": [
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "Service de Biostatistique-Bioinformatique, Hospices Civils de Lyon, Lyon, France", 
            "ProfileXpert, SFR-Est, CNRS UMR-S3453, INSERM US7, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wierinckx", 
        "givenName": "Anne", 
        "id": "sg:person.0576176611.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576176611.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service de Cytog\u00e9n\u00e9tique, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Service de Cytog\u00e9n\u00e9tique, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alix", 
        "givenName": "Eudeline", 
        "id": "sg:person.01306504271.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306504271.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service de Cytog\u00e9n\u00e9tique, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Service de Cytog\u00e9n\u00e9tique, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bonnefille", 
        "givenName": "Cl\u00e9ment", 
        "id": "sg:person.010500206240.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010500206240.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre de Pathologie Est, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France", 
            "Centre de Pathologie Est, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vasiljevic", 
        "givenName": "Alexandre", 
        "id": "sg:person.01112301071.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112301071.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service d\u2019Endocrinologie, CHRU de Lille, Hopital Huriez, 59037, Lille Cedex, France", 
          "id": "http://www.grid.ac/institutes/grid.413875.c", 
          "name": [
            "Service d\u2019Endocrinologie, CHRU de Lille, Hopital Huriez, 59037, Lille Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cortet", 
        "givenName": "Christine", 
        "id": "sg:person.01315550771.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315550771.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service d\u2019Endocrinologie - Diab\u00e8te \u2013 Nutrition, Centre Hospitalier Universitaire de Reims, Reims, Champagne-Ardenne, France", 
          "id": "http://www.grid.ac/institutes/grid.139510.f", 
          "name": [
            "Service d\u2019Endocrinologie - Diab\u00e8te \u2013 Nutrition, Centre Hospitalier Universitaire de Reims, Reims, Champagne-Ardenne, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Decoudier", 
        "givenName": "B\u00e9n\u00e9dicte", 
        "id": "sg:person.0663702043.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663702043.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement d\u2019Anatomie et cytologie pathologique, CHU Grenoble Alpes, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.410529.b", 
          "name": [
            "D\u00e9partement d\u2019Anatomie et cytologie pathologique, CHU Grenoble Alpes, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sturm", 
        "givenName": "Nathalie", 
        "id": "sg:person.0754654275.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754654275.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neurosurgery, Foch Hospital, 92151, Suresnes, France", 
          "id": "http://www.grid.ac/institutes/grid.414106.6", 
          "name": [
            "Department of Neurosurgery, Foch Hospital, 92151, Suresnes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gaillard", 
        "givenName": "Stephan", 
        "id": "sg:person.01362626353.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362626353.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bordeaux, 146 R Leo saignat, 33000, Bordeaux, France", 
          "id": "http://www.grid.ac/institutes/grid.412041.2", 
          "name": [
            "Department of Endocrinology, Diabetes and Nutrition, CHU de Bordeaux, Bordeaux, France", 
            "University of Bordeaux, 146 R Leo saignat, 33000, Bordeaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferri\u00e8re", 
        "givenName": "Amandine", 
        "id": "sg:person.012665661154.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012665661154.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "\u00c9quipe Biostatistique-Sant\u00e9, Laboratoire de Biom\u00e9trie et Biologie \u00c9volutive, CNRS UMR 5558, Villeurbanne, France", 
          "id": "http://www.grid.ac/institutes/grid.462854.9", 
          "name": [
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "Service de Biostatistique-Bioinformatique, Hospices Civils de Lyon, Lyon, France", 
            "\u00c9quipe Biostatistique-Sant\u00e9, Laboratoire de Biom\u00e9trie et Biologie \u00c9volutive, CNRS UMR 5558, Villeurbanne, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roy", 
        "givenName": "Pascal", 
        "id": "sg:person.01040447451.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040447451.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service de Neurochirurgie, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France", 
            "Service de Neurochirurgie, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jouanneau", 
        "givenName": "Emmanuel", 
        "id": "sg:person.01346664471.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346664471.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.462282.8", 
          "name": [
            "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bertolino", 
        "givenName": "Philippe", 
        "id": "sg:person.01276255155.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276255155.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Plateforme de s\u00e9quen\u00e7age haut d\u00e9bit, Hospices Civils de Lyon, Bron, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "Service de Biostatistique-Bioinformatique, Hospices Civils de Lyon, Lyon, France", 
            "\u00c9quipe Biostatistique-Sant\u00e9, Laboratoire de Biom\u00e9trie et Biologie \u00c9volutive, CNRS UMR 5558, Villeurbanne, France", 
            "Plateforme de s\u00e9quen\u00e7age haut d\u00e9bit, Hospices Civils de Lyon, Bron, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bardel", 
        "givenName": "Claire", 
        "id": "sg:person.01343567560.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343567560.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Plateforme de s\u00e9quen\u00e7age haut d\u00e9bit, Hospices Civils de Lyon, Bron, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "Service de Cytog\u00e9n\u00e9tique, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron, France", 
            "Plateforme de s\u00e9quen\u00e7age haut d\u00e9bit, Hospices Civils de Lyon, Bron, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sanlaville", 
        "givenName": "Damien", 
        "id": "sg:person.0674535670.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674535670.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.462282.8", 
          "name": [
            "F\u00e9d\u00e9ration d\u2019endocrinologie, Centre de R\u00e9f\u00e9rence des Maladies Rares Hypophysaires, Groupement Hospitalier Est, Hospices Civils de Lyon, 8 av Doyen Lepine, 69677, Bron Cedex, France", 
            "Universit\u00e9 Lyon 1, Lyon, France", 
            "INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raverot", 
        "givenName": "G\u00e9rald", 
        "id": "sg:person.01300551271.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300551271.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/s41576-019-0171-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1121184577", 
          "https://doi.org/10.1038/s41576-019-0171-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10014-018-0314-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103601811", 
          "https://doi.org/10.1007/s10014-018-0314-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1025313214951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049636069", 
          "https://doi.org/10.1023/a:1025313214951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-007-9006-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038133168", 
          "https://doi.org/10.1007/s12022-007-9006-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cr.2016.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033997339", 
          "https://doi.org/10.1038/cr.2016.114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027553209", 
          "https://doi.org/10.1038/ng.3166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-05275-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105993561", 
          "https://doi.org/10.1038/s41467-018-05275-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-019-09587-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1120744189", 
          "https://doi.org/10.1007/s12022-019-09587-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00401-013-1084-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026078572", 
          "https://doi.org/10.1007/s00401-013-1084-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11102-007-0058-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049115547", 
          "https://doi.org/10.1007/s11102-007-0058-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11060-009-0107-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012887812", 
          "https://doi.org/10.1007/s11060-009-0107-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-11-10", 
    "datePublishedReg": "2020-11-10", 
    "description": "The purpose of this study was to analyze the impact of copy number variations (CNV) on sporadic pituitary neuroendocrine tumors (PitNETs) prognosis, to identify specific prognosis markers according to the known clinico-pathological classification. CGH array analysis was performed on 195 fresh-frozen PitNETs (56 gonadotroph, 11 immunonegative, 56 somatotroph, 39 lactotroph and 33 corticotroph), with 5\u00a0years post-surgery follow-up (124 recurrences), classified according to the five-tiered grading classification (invasion, Ki-67, mitotic index and p53 positivity). Effect of alterations on recurrence was studied using logistic regression models. Transcriptomic analysis of 32 lactotroph tumors was performed. The quantity of CNV was dependent on tumor type: higher in lactotroph (median(min\u2013max)\u2009=\u200938% (0\u201397) of probes) compared to corticotroph (11% (0\u201377)), somatotroph (5% (0\u201399)), gonadotroph (0% (0\u201310)) and immunonegative tumors (0% (0\u201317). It was not predictive of recurrence in the whole cohort. In lactotroph tumors, genome instability, especially quantity of gains, significantly predicted recurrence independently of invasion and proliferation (p-value\u2009=\u20090.02, OR\u2009=\u20091.2). However, no specific CNV was found as a prognostic marker. Transcriptomic analysis of the genes included in the CNV and associated with prognosis didn\u2019t show significantly overrepresented pathway. In somatotroph and corticotroph tumors, USP8 and GNAS mutations were not associated with genome disruption or recurrence respectively. To conclude, CGH array analysis showed genome instability was dependent on PitNET type. Lactotroph tumors were highly altered and the quantity of altered genome was associated with poorer prognosis though the mechanism is unclear, whereas gonadotroph and immunonegative tumors showed the same \u2018quiet\u2019 profile, leaving the mechanism underlying tumorigenesis open to question.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s40478-020-01067-5", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1048594", 
        "issn": [
          "2051-5960"
        ], 
        "name": "Acta Neuropathologica Communications", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "keywords": [
      "clinico-pathological classification", 
      "logistic regression models", 
      "CGH array analysis", 
      "copy number variations", 
      "tumor prognosis", 
      "prognosis marker", 
      "immunonegative tumours", 
      "tumor types", 
      "lactotroph tumors", 
      "grading classification", 
      "effects of alterations", 
      "tumors", 
      "array analysis", 
      "regression models", 
      "prognosis", 
      "recurrence", 
      "transcriptomic analysis", 
      "gonadotrophs", 
      "corticotrophs", 
      "somatotrophs", 
      "PitNETs", 
      "lactotrophs", 
      "number variations", 
      "markers", 
      "alterations", 
      "years", 
      "study", 
      "classification", 
      "analysis", 
      "effect", 
      "purpose", 
      "types", 
      "impact", 
      "model", 
      "variation", 
      "quantity"
    ], 
    "name": "Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis", 
    "pagination": "190", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1132463880"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40478-020-01067-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "33168091"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40478-020-01067-5", 
      "https://app.dimensions.ai/details/publication/pub.1132463880"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:46", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_841.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s40478-020-01067-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40478-020-01067-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40478-020-01067-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40478-020-01067-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40478-020-01067-5'


 

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

397 TRIPLES      21 PREDICATES      98 URIs      79 LITERALS      33 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40478-020-01067-5 schema:about N0061ebd6629f469f8f341ef31c2fa1f4
2 N0157ff2f8a394368bbb0f5028d5fde40
3 N088ac51da9eb4d18979b6707f415d1b3
4 N1885a34535ff4edeb1d6236009c438bf
5 N1959eae07b79467889018bd5acd3ccf0
6 N27da163fc9b042c2be318b889cf6bc4f
7 N2f8b923864ec424695833cf1d6cd2527
8 N30137dccf45e4f50951faee2f6a875ba
9 N32f5e9b983d24541877b1ecc312066f0
10 N4b0d80c140a440a1afa353d3973c34b2
11 N4efebb40de9f4dc5a319b9067dc0ecb8
12 N50073ae8800a46d393816857b0d4b721
13 N7836a9046d2d4bbc89fdc9266b906319
14 N8375aca89e8a467a969e3ef7207e04a3
15 N85445900ff144ad3b762dd0c2653feaa
16 Nab246440068d44f5810ac4c4f006a077
17 Nafeb24ab3ec446bfbb47d9a93f4b1e51
18 Nb0b5698efaba4ca095699caa1758240d
19 Nbc65823165044010a7196ffdd0761b1b
20 Nbcde13d388da468385d25deeaaacc466
21 Nbe6686bb98e5431e96abd7538ea3e3cb
22 Ncc3088d512c6493093f5afb1319e3ab1
23 Nec548f74cf3147bebe41052eafe78143
24 Ned86471510204c12ab65169181c3f727
25 Nf3d2845dd75b444b97c09f2d8bc7cf2f
26 Nf9b633393e184756bc68e52c12032f7f
27 anzsrc-for:06
28 anzsrc-for:0604
29 schema:author Ndf67c2610c28437babdfbcaad55f773d
30 schema:citation sg:pub.10.1007/s00401-013-1084-y
31 sg:pub.10.1007/s10014-018-0314-3
32 sg:pub.10.1007/s11060-009-0107-y
33 sg:pub.10.1007/s11102-007-0058-2
34 sg:pub.10.1007/s12022-007-9006-y
35 sg:pub.10.1007/s12022-019-09587-0
36 sg:pub.10.1023/a:1025313214951
37 sg:pub.10.1038/cr.2016.114
38 sg:pub.10.1038/ng.3166
39 sg:pub.10.1038/s41467-018-05275-5
40 sg:pub.10.1038/s41576-019-0171-x
41 schema:datePublished 2020-11-10
42 schema:datePublishedReg 2020-11-10
43 schema:description The purpose of this study was to analyze the impact of copy number variations (CNV) on sporadic pituitary neuroendocrine tumors (PitNETs) prognosis, to identify specific prognosis markers according to the known clinico-pathological classification. CGH array analysis was performed on 195 fresh-frozen PitNETs (56 gonadotroph, 11 immunonegative, 56 somatotroph, 39 lactotroph and 33 corticotroph), with 5 years post-surgery follow-up (124 recurrences), classified according to the five-tiered grading classification (invasion, Ki-67, mitotic index and p53 positivity). Effect of alterations on recurrence was studied using logistic regression models. Transcriptomic analysis of 32 lactotroph tumors was performed. The quantity of CNV was dependent on tumor type: higher in lactotroph (median(min–max) = 38% (0–97) of probes) compared to corticotroph (11% (0–77)), somatotroph (5% (0–99)), gonadotroph (0% (0–10)) and immunonegative tumors (0% (0–17). It was not predictive of recurrence in the whole cohort. In lactotroph tumors, genome instability, especially quantity of gains, significantly predicted recurrence independently of invasion and proliferation (p-value = 0.02, OR = 1.2). However, no specific CNV was found as a prognostic marker. Transcriptomic analysis of the genes included in the CNV and associated with prognosis didn’t show significantly overrepresented pathway. In somatotroph and corticotroph tumors, USP8 and GNAS mutations were not associated with genome disruption or recurrence respectively. To conclude, CGH array analysis showed genome instability was dependent on PitNET type. Lactotroph tumors were highly altered and the quantity of altered genome was associated with poorer prognosis though the mechanism is unclear, whereas gonadotroph and immunonegative tumors showed the same ‘quiet’ profile, leaving the mechanism underlying tumorigenesis open to question.
44 schema:genre article
45 schema:isAccessibleForFree true
46 schema:isPartOf N9f21da60736c4309ba74a42f9a864c9a
47 Naa4cc1c0b5e2454ca336d9929c856f00
48 sg:journal.1048594
49 schema:keywords CGH array analysis
50 PitNETs
51 alterations
52 analysis
53 array analysis
54 classification
55 clinico-pathological classification
56 copy number variations
57 corticotrophs
58 effect
59 effects of alterations
60 gonadotrophs
61 grading classification
62 immunonegative tumours
63 impact
64 lactotroph tumors
65 lactotrophs
66 logistic regression models
67 markers
68 model
69 number variations
70 prognosis
71 prognosis marker
72 purpose
73 quantity
74 recurrence
75 regression models
76 somatotrophs
77 study
78 transcriptomic analysis
79 tumor prognosis
80 tumor types
81 tumors
82 types
83 variation
84 years
85 schema:name Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis
86 schema:pagination 190
87 schema:productId N43ba88f445c945c2bb04f0ed996682ad
88 N8af19717798643108b520a06c6d18b14
89 Nf24759fa6f334da6a9d1010beba32a66
90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132463880
91 https://doi.org/10.1186/s40478-020-01067-5
92 schema:sdDatePublished 2022-10-01T06:46
93 schema:sdLicense https://scigraph.springernature.com/explorer/license/
94 schema:sdPublisher N525d91cebe224414a269141d4d072112
95 schema:url https://doi.org/10.1186/s40478-020-01067-5
96 sgo:license sg:explorer/license/
97 sgo:sdDataset articles
98 rdf:type schema:ScholarlyArticle
99 N0061ebd6629f469f8f341ef31c2fa1f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Pituitary Neoplasms
101 rdf:type schema:DefinedTerm
102 N0157ff2f8a394368bbb0f5028d5fde40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Neuroendocrine Tumors
104 rdf:type schema:DefinedTerm
105 N088ac51da9eb4d18979b6707f415d1b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Loss of Heterozygosity
107 rdf:type schema:DefinedTerm
108 N105bc876df80447984a6457100d0205b rdf:first sg:person.0576176611.09
109 rdf:rest Na0b1dfa66d214ed78b9a5b70c2cbcaf9
110 N116ee46d59c34033ac3a30581a66e6df rdf:first sg:person.0674535670.11
111 rdf:rest N9605a4df7b1c49e2b666619428fa66da
112 N1885a34535ff4edeb1d6236009c438bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Comparative Genomic Hybridization
114 rdf:type schema:DefinedTerm
115 N1959eae07b79467889018bd5acd3ccf0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Middle Aged
117 rdf:type schema:DefinedTerm
118 N1f7f31d59108428b88aaf540ab1e98e9 rdf:first sg:person.01040447451.94
119 rdf:rest N3d6ecc6a1a334591846f2a3f5cdda42d
120 N27da163fc9b042c2be318b889cf6bc4f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Female
122 rdf:type schema:DefinedTerm
123 N2f8b923864ec424695833cf1d6cd2527 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Growth Hormone-Secreting Pituitary Adenoma
125 rdf:type schema:DefinedTerm
126 N30137dccf45e4f50951faee2f6a875ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Ubiquitin Thiolesterase
128 rdf:type schema:DefinedTerm
129 N32f5e9b983d24541877b1ecc312066f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Humans
131 rdf:type schema:DefinedTerm
132 N3d6ecc6a1a334591846f2a3f5cdda42d rdf:first sg:person.01346664471.47
133 rdf:rest Nbfdf0472ec264b839c6f0dc17e05d468
134 N43ba88f445c945c2bb04f0ed996682ad schema:name dimensions_id
135 schema:value pub.1132463880
136 rdf:type schema:PropertyValue
137 N4b0d80c140a440a1afa353d3973c34b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Adenoma
139 rdf:type schema:DefinedTerm
140 N4ce61f06a79445669a36858f5edf8e82 rdf:first sg:person.01315550771.17
141 rdf:rest N56b5e03b1ac5497194bbbf65d30fddb2
142 N4ec7b61a021b4be28ceeba1804a84c62 rdf:first sg:person.01112301071.13
143 rdf:rest N4ce61f06a79445669a36858f5edf8e82
144 N4efebb40de9f4dc5a319b9067dc0ecb8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Male
146 rdf:type schema:DefinedTerm
147 N50073ae8800a46d393816857b0d4b721 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Prognosis
149 rdf:type schema:DefinedTerm
150 N525d91cebe224414a269141d4d072112 schema:name Springer Nature - SN SciGraph project
151 rdf:type schema:Organization
152 N56b5e03b1ac5497194bbbf65d30fddb2 rdf:first sg:person.0663702043.71
153 rdf:rest Nabb10bfb0fc2495ea7d1a4dcf149e247
154 N7836a9046d2d4bbc89fdc9266b906319 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Gene Expression Profiling
156 rdf:type schema:DefinedTerm
157 N8375aca89e8a467a969e3ef7207e04a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Adult
159 rdf:type schema:DefinedTerm
160 N85445900ff144ad3b762dd0c2653feaa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Chromogranins
162 rdf:type schema:DefinedTerm
163 N8af19717798643108b520a06c6d18b14 schema:name pubmed_id
164 schema:value 33168091
165 rdf:type schema:PropertyValue
166 N9605a4df7b1c49e2b666619428fa66da rdf:first sg:person.01300551271.16
167 rdf:rest rdf:nil
168 N96318ea95a124aea8b9dfb41501c3f07 rdf:first sg:person.012665661154.82
169 rdf:rest N1f7f31d59108428b88aaf540ab1e98e9
170 N99acd33a6842419bba5f85a9acbdb81a rdf:first sg:person.0724441045.49
171 rdf:rest N105bc876df80447984a6457100d0205b
172 N9d8cb497a8c64a43a819227361564654 rdf:first sg:person.01362626353.52
173 rdf:rest N96318ea95a124aea8b9dfb41501c3f07
174 N9f21da60736c4309ba74a42f9a864c9a schema:issueNumber 1
175 rdf:type schema:PublicationIssue
176 Na0b1dfa66d214ed78b9a5b70c2cbcaf9 rdf:first sg:person.01306504271.46
177 rdf:rest Naad9f9a9c1c44ee491f47647c34f86ce
178 Naa4cc1c0b5e2454ca336d9929c856f00 schema:volumeNumber 8
179 rdf:type schema:PublicationVolume
180 Naad9f9a9c1c44ee491f47647c34f86ce rdf:first sg:person.010500206240.33
181 rdf:rest N4ec7b61a021b4be28ceeba1804a84c62
182 Nab246440068d44f5810ac4c4f006a077 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Endopeptidases
184 rdf:type schema:DefinedTerm
185 Nabb10bfb0fc2495ea7d1a4dcf149e247 rdf:first sg:person.0754654275.89
186 rdf:rest N9d8cb497a8c64a43a819227361564654
187 Nafeb24ab3ec446bfbb47d9a93f4b1e51 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Chromosomal Instability
189 rdf:type schema:DefinedTerm
190 Nb0b5698efaba4ca095699caa1758240d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name ACTH-Secreting Pituitary Adenoma
192 rdf:type schema:DefinedTerm
193 Nbc65823165044010a7196ffdd0761b1b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name DNA Copy Number Variations
195 rdf:type schema:DefinedTerm
196 Nbcde13d388da468385d25deeaaacc466 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name GTP-Binding Protein alpha Subunits, Gs
198 rdf:type schema:DefinedTerm
199 Nbe6686bb98e5431e96abd7538ea3e3cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Endosomal Sorting Complexes Required for Transport
201 rdf:type schema:DefinedTerm
202 Nbfdf0472ec264b839c6f0dc17e05d468 rdf:first sg:person.01276255155.49
203 rdf:rest Nf1484c33868540e0b5b1aded1b424354
204 Ncc3088d512c6493093f5afb1319e3ab1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
205 schema:name Genomic Instability
206 rdf:type schema:DefinedTerm
207 Ndf67c2610c28437babdfbcaad55f773d rdf:first sg:person.015626163301.70
208 rdf:rest N99acd33a6842419bba5f85a9acbdb81a
209 Nec548f74cf3147bebe41052eafe78143 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
210 schema:name Prolactinoma
211 rdf:type schema:DefinedTerm
212 Ned86471510204c12ab65169181c3f727 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
213 schema:name Neoplasm Recurrence, Local
214 rdf:type schema:DefinedTerm
215 Nf1484c33868540e0b5b1aded1b424354 rdf:first sg:person.01343567560.27
216 rdf:rest N116ee46d59c34033ac3a30581a66e6df
217 Nf24759fa6f334da6a9d1010beba32a66 schema:name doi
218 schema:value 10.1186/s40478-020-01067-5
219 rdf:type schema:PropertyValue
220 Nf3d2845dd75b444b97c09f2d8bc7cf2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
221 schema:name Mutation
222 rdf:type schema:DefinedTerm
223 Nf9b633393e184756bc68e52c12032f7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
224 schema:name Gonadotrophs
225 rdf:type schema:DefinedTerm
226 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
227 schema:name Biological Sciences
228 rdf:type schema:DefinedTerm
229 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
230 schema:name Genetics
231 rdf:type schema:DefinedTerm
232 sg:journal.1048594 schema:issn 2051-5960
233 schema:name Acta Neuropathologica Communications
234 schema:publisher Springer Nature
235 rdf:type schema:Periodical
236 sg:person.01040447451.94 schema:affiliation grid-institutes:grid.462854.9
237 schema:familyName Roy
238 schema:givenName Pascal
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040447451.94
240 rdf:type schema:Person
241 sg:person.010500206240.33 schema:affiliation grid-institutes:grid.413852.9
242 schema:familyName Bonnefille
243 schema:givenName Clément
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010500206240.33
245 rdf:type schema:Person
246 sg:person.01112301071.13 schema:affiliation grid-institutes:grid.413852.9
247 schema:familyName Vasiljevic
248 schema:givenName Alexandre
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112301071.13
250 rdf:type schema:Person
251 sg:person.012665661154.82 schema:affiliation grid-institutes:grid.412041.2
252 schema:familyName Ferrière
253 schema:givenName Amandine
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012665661154.82
255 rdf:type schema:Person
256 sg:person.01276255155.49 schema:affiliation grid-institutes:grid.462282.8
257 schema:familyName Bertolino
258 schema:givenName Philippe
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276255155.49
260 rdf:type schema:Person
261 sg:person.01300551271.16 schema:affiliation grid-institutes:grid.462282.8
262 schema:familyName Raverot
263 schema:givenName Gérald
264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300551271.16
265 rdf:type schema:Person
266 sg:person.01306504271.46 schema:affiliation grid-institutes:grid.413852.9
267 schema:familyName Alix
268 schema:givenName Eudeline
269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306504271.46
270 rdf:type schema:Person
271 sg:person.01315550771.17 schema:affiliation grid-institutes:grid.413875.c
272 schema:familyName Cortet
273 schema:givenName Christine
274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315550771.17
275 rdf:type schema:Person
276 sg:person.01343567560.27 schema:affiliation grid-institutes:grid.413852.9
277 schema:familyName Bardel
278 schema:givenName Claire
279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343567560.27
280 rdf:type schema:Person
281 sg:person.01346664471.47 schema:affiliation grid-institutes:grid.413852.9
282 schema:familyName Jouanneau
283 schema:givenName Emmanuel
284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346664471.47
285 rdf:type schema:Person
286 sg:person.01362626353.52 schema:affiliation grid-institutes:grid.414106.6
287 schema:familyName Gaillard
288 schema:givenName Stephan
289 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362626353.52
290 rdf:type schema:Person
291 sg:person.015626163301.70 schema:affiliation grid-institutes:grid.462282.8
292 schema:familyName Lasolle
293 schema:givenName Hélène
294 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015626163301.70
295 rdf:type schema:Person
296 sg:person.0576176611.09 schema:affiliation grid-institutes:grid.4444.0
297 schema:familyName Wierinckx
298 schema:givenName Anne
299 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576176611.09
300 rdf:type schema:Person
301 sg:person.0663702043.71 schema:affiliation grid-institutes:grid.139510.f
302 schema:familyName Decoudier
303 schema:givenName Bénédicte
304 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663702043.71
305 rdf:type schema:Person
306 sg:person.0674535670.11 schema:affiliation grid-institutes:grid.413852.9
307 schema:familyName Sanlaville
308 schema:givenName Damien
309 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674535670.11
310 rdf:type schema:Person
311 sg:person.0724441045.49 schema:affiliation grid-institutes:grid.462854.9
312 schema:familyName Elsensohn
313 schema:givenName Mad-Hélénie
314 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724441045.49
315 rdf:type schema:Person
316 sg:person.0754654275.89 schema:affiliation grid-institutes:grid.410529.b
317 schema:familyName Sturm
318 schema:givenName Nathalie
319 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754654275.89
320 rdf:type schema:Person
321 sg:pub.10.1007/s00401-013-1084-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1026078572
322 https://doi.org/10.1007/s00401-013-1084-y
323 rdf:type schema:CreativeWork
324 sg:pub.10.1007/s10014-018-0314-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103601811
325 https://doi.org/10.1007/s10014-018-0314-3
326 rdf:type schema:CreativeWork
327 sg:pub.10.1007/s11060-009-0107-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1012887812
328 https://doi.org/10.1007/s11060-009-0107-y
329 rdf:type schema:CreativeWork
330 sg:pub.10.1007/s11102-007-0058-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049115547
331 https://doi.org/10.1007/s11102-007-0058-2
332 rdf:type schema:CreativeWork
333 sg:pub.10.1007/s12022-007-9006-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1038133168
334 https://doi.org/10.1007/s12022-007-9006-y
335 rdf:type schema:CreativeWork
336 sg:pub.10.1007/s12022-019-09587-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120744189
337 https://doi.org/10.1007/s12022-019-09587-0
338 rdf:type schema:CreativeWork
339 sg:pub.10.1023/a:1025313214951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049636069
340 https://doi.org/10.1023/a:1025313214951
341 rdf:type schema:CreativeWork
342 sg:pub.10.1038/cr.2016.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033997339
343 https://doi.org/10.1038/cr.2016.114
344 rdf:type schema:CreativeWork
345 sg:pub.10.1038/ng.3166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027553209
346 https://doi.org/10.1038/ng.3166
347 rdf:type schema:CreativeWork
348 sg:pub.10.1038/s41467-018-05275-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105993561
349 https://doi.org/10.1038/s41467-018-05275-5
350 rdf:type schema:CreativeWork
351 sg:pub.10.1038/s41576-019-0171-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1121184577
352 https://doi.org/10.1038/s41576-019-0171-x
353 rdf:type schema:CreativeWork
354 grid-institutes:grid.139510.f schema:alternateName Service d’Endocrinologie - Diabète – Nutrition, Centre Hospitalier Universitaire de Reims, Reims, Champagne-Ardenne, France
355 schema:name Service d’Endocrinologie - Diabète – Nutrition, Centre Hospitalier Universitaire de Reims, Reims, Champagne-Ardenne, France
356 rdf:type schema:Organization
357 grid-institutes:grid.410529.b schema:alternateName Département d’Anatomie et cytologie pathologique, CHU Grenoble Alpes, Grenoble, France
358 schema:name Département d’Anatomie et cytologie pathologique, CHU Grenoble Alpes, Grenoble, France
359 rdf:type schema:Organization
360 grid-institutes:grid.412041.2 schema:alternateName University of Bordeaux, 146 R Leo saignat, 33000, Bordeaux, France
361 schema:name Department of Endocrinology, Diabetes and Nutrition, CHU de Bordeaux, Bordeaux, France
362 University of Bordeaux, 146 R Leo saignat, 33000, Bordeaux, France
363 rdf:type schema:Organization
364 grid-institutes:grid.413852.9 schema:alternateName Centre de Pathologie Est, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
365 Plateforme de séquençage haut débit, Hospices Civils de Lyon, Bron, France
366 Service de Cytogénétique, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron, France
367 Service de Neurochirurgie, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
368 schema:name Centre de Pathologie Est, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
369 INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France
370 Plateforme de séquençage haut débit, Hospices Civils de Lyon, Bron, France
371 Service de Biostatistique-Bioinformatique, Hospices Civils de Lyon, Lyon, France
372 Service de Cytogénétique, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron, France
373 Service de Neurochirurgie, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
374 Université Lyon 1, Lyon, France
375 Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France
376 rdf:type schema:Organization
377 grid-institutes:grid.413875.c schema:alternateName Service d’Endocrinologie, CHRU de Lille, Hopital Huriez, 59037, Lille Cedex, France
378 schema:name Service d’Endocrinologie, CHRU de Lille, Hopital Huriez, 59037, Lille Cedex, France
379 rdf:type schema:Organization
380 grid-institutes:grid.414106.6 schema:alternateName Department of Neurosurgery, Foch Hospital, 92151, Suresnes, France
381 schema:name Department of Neurosurgery, Foch Hospital, 92151, Suresnes, France
382 rdf:type schema:Organization
383 grid-institutes:grid.4444.0 schema:alternateName ProfileXpert, SFR-Est, CNRS UMR-S3453, INSERM US7, Lyon, France
384 schema:name ProfileXpert, SFR-Est, CNRS UMR-S3453, INSERM US7, Lyon, France
385 Service de Biostatistique-Bioinformatique, Hospices Civils de Lyon, Lyon, France
386 Université Lyon 1, Lyon, France
387 rdf:type schema:Organization
388 grid-institutes:grid.462282.8 schema:alternateName INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France
389 schema:name Fédération d’endocrinologie, Centre de Référence des Maladies Rares Hypophysaires, Groupement Hospitalier Est, Hospices Civils de Lyon, 8 av Doyen Lepine, 69677, Bron Cedex, France
390 INSERM U1052, CNRS UMR5286, Cancer Research Center of Lyon, 69372, Lyon, France
391 Université Lyon 1, Lyon, France
392 rdf:type schema:Organization
393 grid-institutes:grid.462854.9 schema:alternateName Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France
394 schema:name Service de Biostatistique-Bioinformatique, Hospices Civils de Lyon, Lyon, France
395 Université Lyon 1, Lyon, France
396 Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France
397 rdf:type schema:Organization
 




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


...