Adequately defining tumor cell proportion in tissue samples for molecular testing improves interobserver reproducibility of its assessment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-01

AUTHORS

Benoît Lhermitte, Caroline Egele, Noëlle Weingertner, Damien Ambrosetti, Bérengère Dadone, Valérie Kubiniek, Fanny Burel-Vandenbos, John Coyne, Jean-François Michiels, Marie-Pierre Chenard, Etienne Rouleau, Jean-Christophe Sabourin, Jean-Pierre Bellocq

ABSTRACT

Gene mutation status assessment of tumors has become standard practice in diagnostic pathology. This is done using samples comprising tumor cells but also non-tumor cells, which may dramatically dilute the proportion of tumor DNA and induce false negative results. Increasing sensitivity of molecular tests presently allows detection of a targeted mutation in a sample with a small percentage of tumor cells, but assessment of tumor cellularity remains essential to adequately interpret the results of molecular tests. Comprehensive tumor cell counting would provide the most reliable approach but is time consuming, and therefore rough global estimations are used, the reliability of which has been questioned in view of their potential clinical impact. The French association for quality assurance in pathology (AFAQAP) conducted two external quality assurance schemes, partly in partnership with the French group of oncology cytogenomics (GFCO). The purpose of the schemes was to (1) evaluate how tumor cellularity is assessed on tissue samples, (2) identify reasons for discrepancies, and (3) provide recommendations for standardization and improvement. Tumor cell percentages in tissue samples of lung and colon cancer were estimated by 40-50 participants, on 10 H&E virtual slides and 20 H&E conventional slides. The average difference between lowest and highest estimated percentage was 66. This was largely due to inadequate definition of cellularity, reflecting confusion between the percentage of tumor cells and the percentage of the area occupied by tumor in the assessed region. The widest range of interobserver variation was observed for samples with dense or scattered lymphocytic infiltrates or with mucinous stroma. Estimations were more accurate in cases with a low percentage of tumor cells. Macrodissection of the most homogeneous area in the tissue reduced inter-laboratory variation. We developed a rating system indicating potential clinical impact of a discrepancy. Fewer discrepancies were clinically relevant since the study was conducted. Although semi-quantitative estimations remain somewhat subjective, their reliability improves when tumor cellularity is adequately defined and heterogeneous tissue samples are macrodissected for molecular analysis. More... »

PAGES

21-27

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00428-016-2042-6

DOI

http://dx.doi.org/10.1007/s00428-016-2042-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046008598

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27853865


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Count", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Neoplasm", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "H\u00f4pital d'Hautepierre", 
          "id": "https://www.grid.ac/institutes/grid.412201.4", 
          "name": [
            "Department of Pathology, H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lhermitte", 
        "givenName": "Beno\u00eet", 
        "id": "sg:person.0620774343.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620774343.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital d'Hautepierre", 
          "id": "https://www.grid.ac/institutes/grid.412201.4", 
          "name": [
            "French Association for Quality Assurance in Pathology (AFAQAP), H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Egele", 
        "givenName": "Caroline", 
        "id": "sg:person.0765626507.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765626507.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital d'Hautepierre", 
          "id": "https://www.grid.ac/institutes/grid.412201.4", 
          "name": [
            "Department of Pathology, H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weingertner", 
        "givenName": "No\u00eblle", 
        "id": "sg:person.0642057362.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642057362.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Central Laboratory of Anatomical and Cytological Pathology, H\u00f4pital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ambrosetti", 
        "givenName": "Damien", 
        "id": "sg:person.0642465326.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642465326.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Central Laboratory of Anatomical and Cytological Pathology, H\u00f4pital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dadone", 
        "givenName": "B\u00e9reng\u00e8re", 
        "id": "sg:person.0722277402.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722277402.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Tumor Genetics, H\u00f4pital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kubiniek", 
        "givenName": "Val\u00e9rie", 
        "id": "sg:person.014125207771.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014125207771.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Central Laboratory of Anatomical and Cytological Pathology, H\u00f4pital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Burel-Vandenbos", 
        "givenName": "Fanny", 
        "id": "sg:person.0765517573.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765517573.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Central Laboratory of Anatomical and Cytological Pathology, H\u00f4pital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coyne", 
        "givenName": "John", 
        "id": "sg:person.0667563430.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667563430.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Central Laboratory of Anatomical and Cytological Pathology, H\u00f4pital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Michiels", 
        "givenName": "Jean-Fran\u00e7ois", 
        "id": "sg:person.0577240631.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577240631.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital d'Hautepierre", 
          "id": "https://www.grid.ac/institutes/grid.412201.4", 
          "name": [
            "Department of Pathology, H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chenard", 
        "givenName": "Marie-Pierre", 
        "id": "sg:person.0640156105.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640156105.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Curie", 
          "id": "https://www.grid.ac/institutes/grid.418596.7", 
          "name": [
            "Francophone Group of Oncology Cytogenomic (GFCO), Laboratoire de cytog\u00e9n\u00e9tique, Institut Gustave Roussy, 39 rue Camille Desmoulins, 98805, Villejuif, France", 
            "Unit of Constitutional and Somatic Genetics, Genetics Department, Institut Curie, 26 rue d\u2019Ulm, 75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rouleau", 
        "givenName": "Etienne", 
        "id": "sg:person.01076472203.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076472203.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital d'Hautepierre", 
          "id": "https://www.grid.ac/institutes/grid.412201.4", 
          "name": [
            "Department of Pathology, H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France", 
            "French Association for Quality Assurance in Pathology (AFAQAP), H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France", 
            "Laboratory of Anatomical and Cytological Pathology, H\u00f4pital Charles Nicolle - Centre Hospitalier Universitaire, 1 rue de Germon, Pavillon Jacques Delarue, 76031, Rouen cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sabourin", 
        "givenName": "Jean-Christophe", 
        "id": "sg:person.01074411522.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074411522.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital d'Hautepierre", 
          "id": "https://www.grid.ac/institutes/grid.412201.4", 
          "name": [
            "Department of Pathology, H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France", 
            "French Association for Quality Assurance in Pathology (AFAQAP), H\u00f4pital de Hautepierre - H\u00f4pitaux Universitaires de Strasbourg, 1 avenue Moli\u00e8re, 67098, Strasbourg cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bellocq", 
        "givenName": "Jean-Pierre", 
        "id": "sg:person.0770056054.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770056054.32"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.0405220101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000546271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.2013.134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003093386", 
          "https://doi.org/10.1038/modpathol.2013.134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-012-1356-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003712824", 
          "https://doi.org/10.1007/s00428-012-1356-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmoldx.2015.09.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008674027"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1099314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033538744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-015-1876-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037695696", 
          "https://doi.org/10.1007/s00428-015-1876-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-015-1876-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037695696", 
          "https://doi.org/10.1007/s00428-015-1876-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa040938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042907590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5858/arpa.2012-0561-cp", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044284073"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-01", 
    "datePublishedReg": "2017-01-01", 
    "description": "Gene mutation status assessment of tumors has become standard practice in diagnostic pathology. This is done using samples comprising tumor cells but also non-tumor cells, which may dramatically dilute the proportion of tumor DNA and induce false negative results. Increasing sensitivity of molecular tests presently allows detection of a targeted mutation in a sample with a small percentage of tumor cells, but assessment of tumor cellularity remains essential to adequately interpret the results of molecular tests. Comprehensive tumor cell counting would provide the most reliable approach but is time consuming, and therefore rough global estimations are used, the reliability of which has been questioned in view of their potential clinical impact. The French association for quality assurance in pathology (AFAQAP) conducted two external quality assurance schemes, partly in partnership with the French group of oncology cytogenomics (GFCO). The purpose of the schemes was to (1) evaluate how tumor cellularity is assessed on tissue samples, (2) identify reasons for discrepancies, and (3) provide recommendations for standardization and improvement. Tumor cell percentages in tissue samples of lung and colon cancer were estimated by 40-50 participants, on 10 H&E virtual slides and 20 H&E conventional slides. The average difference between lowest and highest estimated percentage was 66. This was largely due to inadequate definition of cellularity, reflecting confusion between the percentage of tumor cells and the percentage of the area occupied by tumor in the assessed region. The widest range of interobserver variation was observed for samples with dense or scattered lymphocytic infiltrates or with mucinous stroma. Estimations were more accurate in cases with a low percentage of tumor cells. Macrodissection of the most homogeneous area in the tissue reduced inter-laboratory variation. We developed a rating system indicating potential clinical impact of a discrepancy. Fewer discrepancies were clinically relevant since the study was conducted. Although semi-quantitative estimations remain somewhat subjective, their reliability improves when tumor cellularity is adequately defined and heterogeneous tissue samples are macrodissected for molecular analysis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00428-016-2042-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1106235", 
        "issn": [
          "0945-6317", 
          "1432-2307"
        ], 
        "name": "Virchows Archiv", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "470"
      }
    ], 
    "name": "Adequately defining tumor cell proportion in tissue samples for molecular testing improves interobserver reproducibility of its assessment", 
    "pagination": "21-27", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "db289ec5dea9a807bd7e6c74463fe9b18c6af96a52aa184d4c6fa8b2dde7caf8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27853865"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9423843"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00428-016-2042-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046008598"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00428-016-2042-6", 
      "https://app.dimensions.ai/details/publication/pub.1046008598"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:43", 
    "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/v90/0000000363_0000000363/records_70061_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00428-016-2042-6"
  }
]
 

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.10.1007/s00428-016-2042-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00428-016-2042-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00428-016-2042-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00428-016-2042-6'


 

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

226 TRIPLES      21 PREDICATES      44 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00428-016-2042-6 schema:about N3be157c380ec4640a0076df9853e35e3
2 N8f257b5b719b4b1c9724d40785858618
3 N8f34ea8590ad4d78bd8e8da5875f6442
4 Na062577096f14ee9aad3dcdc42014b55
5 Nc27813c11b924c16b3aa6015faea6ffe
6 Ncbea634df41b4f269c5af84a7ff0d3f8
7 Nda2a714771b444238e15f0631fc95012
8 anzsrc-for:11
9 anzsrc-for:1112
10 schema:author Nab4a1cad8ec94ac18129c74220f18fae
11 schema:citation sg:pub.10.1007/s00428-012-1356-2
12 sg:pub.10.1007/s00428-015-1876-7
13 sg:pub.10.1038/modpathol.2013.134
14 https://doi.org/10.1016/j.jmoldx.2015.09.004
15 https://doi.org/10.1056/nejmoa040938
16 https://doi.org/10.1073/pnas.0405220101
17 https://doi.org/10.1126/science.1099314
18 https://doi.org/10.5858/arpa.2012-0561-cp
19 schema:datePublished 2017-01
20 schema:datePublishedReg 2017-01-01
21 schema:description Gene mutation status assessment of tumors has become standard practice in diagnostic pathology. This is done using samples comprising tumor cells but also non-tumor cells, which may dramatically dilute the proportion of tumor DNA and induce false negative results. Increasing sensitivity of molecular tests presently allows detection of a targeted mutation in a sample with a small percentage of tumor cells, but assessment of tumor cellularity remains essential to adequately interpret the results of molecular tests. Comprehensive tumor cell counting would provide the most reliable approach but is time consuming, and therefore rough global estimations are used, the reliability of which has been questioned in view of their potential clinical impact. The French association for quality assurance in pathology (AFAQAP) conducted two external quality assurance schemes, partly in partnership with the French group of oncology cytogenomics (GFCO). The purpose of the schemes was to (1) evaluate how tumor cellularity is assessed on tissue samples, (2) identify reasons for discrepancies, and (3) provide recommendations for standardization and improvement. Tumor cell percentages in tissue samples of lung and colon cancer were estimated by 40-50 participants, on 10 H&E virtual slides and 20 H&E conventional slides. The average difference between lowest and highest estimated percentage was 66. This was largely due to inadequate definition of cellularity, reflecting confusion between the percentage of tumor cells and the percentage of the area occupied by tumor in the assessed region. The widest range of interobserver variation was observed for samples with dense or scattered lymphocytic infiltrates or with mucinous stroma. Estimations were more accurate in cases with a low percentage of tumor cells. Macrodissection of the most homogeneous area in the tissue reduced inter-laboratory variation. We developed a rating system indicating potential clinical impact of a discrepancy. Fewer discrepancies were clinically relevant since the study was conducted. Although semi-quantitative estimations remain somewhat subjective, their reliability improves when tumor cellularity is adequately defined and heterogeneous tissue samples are macrodissected for molecular analysis.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf Na9fbc56f46a448fbad8b6448628817bf
26 Ne495a04d37b34b3db2d2933d7cc3273b
27 sg:journal.1106235
28 schema:name Adequately defining tumor cell proportion in tissue samples for molecular testing improves interobserver reproducibility of its assessment
29 schema:pagination 21-27
30 schema:productId N26f9a9eb668f4c9fab3f6058656cc167
31 N613c880aa2dc4ba5ae0506aed133d879
32 Nc644eac4862b460c874190e6af032248
33 Nd5a9dbbcf6504d82acdc863fa735a783
34 Nd71e6d5eae3247e19c6467a063f6b617
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046008598
36 https://doi.org/10.1007/s00428-016-2042-6
37 schema:sdDatePublished 2019-04-11T12:43
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher Nd97a1129ae004e96b4050667b48e9c75
40 schema:url https://link.springer.com/10.1007%2Fs00428-016-2042-6
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N090ad20e14c04d9c9e77e6c22ad98ff7 rdf:first sg:person.0765517573.11
45 rdf:rest Ne2128289a5614f399a61b461c1907fdb
46 N13a65eb5049d4b889e8ce4774d11508e rdf:first sg:person.0770056054.32
47 rdf:rest rdf:nil
48 N26f9a9eb668f4c9fab3f6058656cc167 schema:name nlm_unique_id
49 schema:value 9423843
50 rdf:type schema:PropertyValue
51 N309677ef51b14fc08000b0bed2657ca9 schema:name Central Laboratory of Anatomical and Cytological Pathology, Hôpital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France
52 rdf:type schema:Organization
53 N34f2e53622614a61825149c95e21dd9c schema:name Central Laboratory of Anatomical and Cytological Pathology, Hôpital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France
54 rdf:type schema:Organization
55 N3be157c380ec4640a0076df9853e35e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Neoplasms
57 rdf:type schema:DefinedTerm
58 N4d1cbdc9c1654df5aee2a880190c54a5 rdf:first sg:person.0577240631.83
59 rdf:rest Nc5bc1da7c980435fa78c6c62b5690ce8
60 N5166c563abb74389b491774ee6104446 rdf:first sg:person.0722277402.01
61 rdf:rest N54cfd74e7cfc4ed9a0d61c1ea8e5e888
62 N54cfd74e7cfc4ed9a0d61c1ea8e5e888 rdf:first sg:person.014125207771.31
63 rdf:rest N090ad20e14c04d9c9e77e6c22ad98ff7
64 N60d06539d526493c9983f2bd9c803017 rdf:first sg:person.01074411522.05
65 rdf:rest N13a65eb5049d4b889e8ce4774d11508e
66 N613c880aa2dc4ba5ae0506aed133d879 schema:name doi
67 schema:value 10.1007/s00428-016-2042-6
68 rdf:type schema:PropertyValue
69 N76e69a25c60b44beacf3e117115d9e8e schema:name Central Laboratory of Anatomical and Cytological Pathology, Hôpital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France
70 rdf:type schema:Organization
71 N8f257b5b719b4b1c9724d40785858618 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Reproducibility of Results
73 rdf:type schema:DefinedTerm
74 N8f34ea8590ad4d78bd8e8da5875f6442 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Mutation
76 rdf:type schema:DefinedTerm
77 Na062577096f14ee9aad3dcdc42014b55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Cell Count
79 rdf:type schema:DefinedTerm
80 Na90c6faf397a4ee584b53b91acc06963 schema:name Central Laboratory of Anatomical and Cytological Pathology, Hôpital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France
81 rdf:type schema:Organization
82 Na9fbc56f46a448fbad8b6448628817bf schema:volumeNumber 470
83 rdf:type schema:PublicationVolume
84 Nab4a1cad8ec94ac18129c74220f18fae rdf:first sg:person.0620774343.78
85 rdf:rest Nea29131b06c14253b79c9c9c7b13b89b
86 Nbd936815b43642bd94ffcda75fa899b5 schema:name Laboratory of Tumor Genetics, Hôpital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France
87 rdf:type schema:Organization
88 Nc27813c11b924c16b3aa6015faea6ffe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name DNA, Neoplasm
90 rdf:type schema:DefinedTerm
91 Nc5bc1da7c980435fa78c6c62b5690ce8 rdf:first sg:person.0640156105.33
92 rdf:rest Nca817254c28a4b25bb07621ac2499c31
93 Nc644eac4862b460c874190e6af032248 schema:name dimensions_id
94 schema:value pub.1046008598
95 rdf:type schema:PropertyValue
96 Nca817254c28a4b25bb07621ac2499c31 rdf:first sg:person.01076472203.18
97 rdf:rest N60d06539d526493c9983f2bd9c803017
98 Ncbea634df41b4f269c5af84a7ff0d3f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Observer Variation
100 rdf:type schema:DefinedTerm
101 Ncdcd5b0cb0fb4548873c185ac560b559 schema:name Central Laboratory of Anatomical and Cytological Pathology, Hôpital Pasteur - Centre Hospitalier Universitaire, 30 Avenue de la Voie Romaine, BP69 -, 06002, Nice cedex 1, France
102 rdf:type schema:Organization
103 Nd46fd16caef442bcaa783d4e42cb7526 rdf:first sg:person.0642057362.13
104 rdf:rest Ne2b7a019371346cca0241c0f256e4811
105 Nd5a9dbbcf6504d82acdc863fa735a783 schema:name pubmed_id
106 schema:value 27853865
107 rdf:type schema:PropertyValue
108 Nd71e6d5eae3247e19c6467a063f6b617 schema:name readcube_id
109 schema:value db289ec5dea9a807bd7e6c74463fe9b18c6af96a52aa184d4c6fa8b2dde7caf8
110 rdf:type schema:PropertyValue
111 Nd97a1129ae004e96b4050667b48e9c75 schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 Nda2a714771b444238e15f0631fc95012 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Humans
115 rdf:type schema:DefinedTerm
116 Ne2128289a5614f399a61b461c1907fdb rdf:first sg:person.0667563430.54
117 rdf:rest N4d1cbdc9c1654df5aee2a880190c54a5
118 Ne2b7a019371346cca0241c0f256e4811 rdf:first sg:person.0642465326.04
119 rdf:rest N5166c563abb74389b491774ee6104446
120 Ne495a04d37b34b3db2d2933d7cc3273b schema:issueNumber 1
121 rdf:type schema:PublicationIssue
122 Nea29131b06c14253b79c9c9c7b13b89b rdf:first sg:person.0765626507.84
123 rdf:rest Nd46fd16caef442bcaa783d4e42cb7526
124 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
125 schema:name Medical and Health Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
128 schema:name Oncology and Carcinogenesis
129 rdf:type schema:DefinedTerm
130 sg:journal.1106235 schema:issn 0945-6317
131 1432-2307
132 schema:name Virchows Archiv
133 rdf:type schema:Periodical
134 sg:person.01074411522.05 schema:affiliation https://www.grid.ac/institutes/grid.412201.4
135 schema:familyName Sabourin
136 schema:givenName Jean-Christophe
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074411522.05
138 rdf:type schema:Person
139 sg:person.01076472203.18 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
140 schema:familyName Rouleau
141 schema:givenName Etienne
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076472203.18
143 rdf:type schema:Person
144 sg:person.014125207771.31 schema:affiliation Nbd936815b43642bd94ffcda75fa899b5
145 schema:familyName Kubiniek
146 schema:givenName Valérie
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014125207771.31
148 rdf:type schema:Person
149 sg:person.0577240631.83 schema:affiliation N76e69a25c60b44beacf3e117115d9e8e
150 schema:familyName Michiels
151 schema:givenName Jean-François
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577240631.83
153 rdf:type schema:Person
154 sg:person.0620774343.78 schema:affiliation https://www.grid.ac/institutes/grid.412201.4
155 schema:familyName Lhermitte
156 schema:givenName Benoît
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620774343.78
158 rdf:type schema:Person
159 sg:person.0640156105.33 schema:affiliation https://www.grid.ac/institutes/grid.412201.4
160 schema:familyName Chenard
161 schema:givenName Marie-Pierre
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640156105.33
163 rdf:type schema:Person
164 sg:person.0642057362.13 schema:affiliation https://www.grid.ac/institutes/grid.412201.4
165 schema:familyName Weingertner
166 schema:givenName Noëlle
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642057362.13
168 rdf:type schema:Person
169 sg:person.0642465326.04 schema:affiliation N309677ef51b14fc08000b0bed2657ca9
170 schema:familyName Ambrosetti
171 schema:givenName Damien
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642465326.04
173 rdf:type schema:Person
174 sg:person.0667563430.54 schema:affiliation Ncdcd5b0cb0fb4548873c185ac560b559
175 schema:familyName Coyne
176 schema:givenName John
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667563430.54
178 rdf:type schema:Person
179 sg:person.0722277402.01 schema:affiliation N34f2e53622614a61825149c95e21dd9c
180 schema:familyName Dadone
181 schema:givenName Bérengère
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722277402.01
183 rdf:type schema:Person
184 sg:person.0765517573.11 schema:affiliation Na90c6faf397a4ee584b53b91acc06963
185 schema:familyName Burel-Vandenbos
186 schema:givenName Fanny
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765517573.11
188 rdf:type schema:Person
189 sg:person.0765626507.84 schema:affiliation https://www.grid.ac/institutes/grid.412201.4
190 schema:familyName Egele
191 schema:givenName Caroline
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765626507.84
193 rdf:type schema:Person
194 sg:person.0770056054.32 schema:affiliation https://www.grid.ac/institutes/grid.412201.4
195 schema:familyName Bellocq
196 schema:givenName Jean-Pierre
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770056054.32
198 rdf:type schema:Person
199 sg:pub.10.1007/s00428-012-1356-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003712824
200 https://doi.org/10.1007/s00428-012-1356-2
201 rdf:type schema:CreativeWork
202 sg:pub.10.1007/s00428-015-1876-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037695696
203 https://doi.org/10.1007/s00428-015-1876-7
204 rdf:type schema:CreativeWork
205 sg:pub.10.1038/modpathol.2013.134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003093386
206 https://doi.org/10.1038/modpathol.2013.134
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.jmoldx.2015.09.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008674027
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1056/nejmoa040938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042907590
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1073/pnas.0405220101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000546271
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1126/science.1099314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033538744
215 rdf:type schema:CreativeWork
216 https://doi.org/10.5858/arpa.2012-0561-cp schema:sameAs https://app.dimensions.ai/details/publication/pub.1044284073
217 rdf:type schema:CreativeWork
218 https://www.grid.ac/institutes/grid.412201.4 schema:alternateName Hôpital d'Hautepierre
219 schema:name Department of Pathology, Hôpital de Hautepierre - Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67098, Strasbourg cedex, France
220 French Association for Quality Assurance in Pathology (AFAQAP), Hôpital de Hautepierre - Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67098, Strasbourg cedex, France
221 Laboratory of Anatomical and Cytological Pathology, Hôpital Charles Nicolle - Centre Hospitalier Universitaire, 1 rue de Germon, Pavillon Jacques Delarue, 76031, Rouen cedex, France
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.418596.7 schema:alternateName Institute Curie
224 schema:name Francophone Group of Oncology Cytogenomic (GFCO), Laboratoire de cytogénétique, Institut Gustave Roussy, 39 rue Camille Desmoulins, 98805, Villejuif, France
225 Unit of Constitutional and Somatic Genetics, Genetics Department, Institut Curie, 26 rue d’Ulm, 75005, Paris, France
226 rdf:type schema:Organization
 




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


...