Neuroendokrine Neoplasien des Magens View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-03

AUTHORS

T. Knösel, C. Reiter, G. Schubert-Fritschle, A. Altendorf-Hofmann, T. Kirchner

ABSTRACT

INTRODUCTION: Neuroendocrine Neoplasms are classified according to the new WHO classification in (1.) well differentiated neuroendocrine tumors G1 (NET G1, Ki67 ≤ 2 or mitosis count <2) and (2.) well differentiated neuroendocrine tumors G2 (NET G2, Ki67 3-20 or mitosis count 2-20) and (3.) poorly differentiated neuroendocrine carcinomas G3 (NEC G3, Ki67 > 20 or mitosis count >20). MATERIAL AND METHODS: In this study 310 NENs of the Ludwig-Maximilians-University in Munich were reevaluated according to the new WHO classification. RESULTS: 7% of the analyzed NENs were presented as neoplasias of the stomach. In NENs of the stomach three distinct subtypes are recognized: (1) type 1 associated with autoimmune chronic atrophic gastritis (2) type 2, associated with multiple endocrine neoplasia (MEN1) and Zollinger-Ellison Syndrom; and (3) type 3, sporadic tumors. DISCUSSION: Precursor lesions (i. e. hyperplasia of the ECL cells) are found in patients with hypergastrinaemia (type 1 and 2). This article should provide insights into the diagnosis of NENs of the stomach with emphasis on the new international standard. More... »

PAGES

98-104

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00292-017-0269-x

DOI

http://dx.doi.org/10.1007/s00292-017-0269-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083742654

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28188377


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Ludwig Maximilian University of Munich", 
          "id": "https://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Pathologisches Institut, Ludwig-Maximilians-Universit\u00e4t (LMU), Thalkirchnerstr.\u00a036, 80337, M\u00fcnchen, Deutschland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kn\u00f6sel", 
        "givenName": "T.", 
        "id": "sg:person.01343630646.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343630646.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ludwig Maximilian University of Munich", 
          "id": "https://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Pathologisches Institut, Ludwig-Maximilians-Universit\u00e4t (LMU), Thalkirchnerstr.\u00a036, 80337, M\u00fcnchen, Deutschland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reiter", 
        "givenName": "C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ludwig Maximilian University of Munich", 
          "id": "https://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Tumorregister M\u00fcnchen (TRM) des Tumorzentrums M\u00fcnchen (TZM), Institut f\u00fcr Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universit\u00e4t (LMU), M\u00fcnchen, Deutschland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schubert-Fritschle", 
        "givenName": "G.", 
        "id": "sg:person.0660737517.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660737517.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Friedrich Schiller University Jena", 
          "id": "https://www.grid.ac/institutes/grid.9613.d", 
          "name": [
            "Abteilung f\u00fcr Allgemein-, Viszeral- und Gef\u00e4\u00dfchirurgie, Friedrich-Schiller-Universit\u00e4t, Jena, Deutschland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Altendorf-Hofmann", 
        "givenName": "A.", 
        "id": "sg:person.01336255412.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336255412.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ludwig Maximilian University of Munich", 
          "id": "https://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Pathologisches Institut, Ludwig-Maximilians-Universit\u00e4t (LMU), Thalkirchnerstr.\u00a036, 80337, M\u00fcnchen, Deutschland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kirchner", 
        "givenName": "T.", 
        "id": "sg:person.0650074000.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650074000.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/science.1200609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000382958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00432-011-1107-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001385218", 
          "https://doi.org/10.1007/s00432-011-1107-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00432-011-1107-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001385218", 
          "https://doi.org/10.1007/s00432-011-1107-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00292-009-1268-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001464208", 
          "https://doi.org/10.1007/s00292-009-1268-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00292-009-1268-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001464208", 
          "https://doi.org/10.1007/s00292-009-1268-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00292-009-1268-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001464208", 
          "https://doi.org/10.1007/s00292-009-1268-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.02.8233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018390540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.02.8233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018390540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surg.2004.06.057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022880077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/erc-09-0108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025026246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000443168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025680031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000199786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027648026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0016-5085(93)90266-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030319739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm200008243430805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031817469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002689900026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033172385", 
          "https://doi.org/10.1007/s002689900026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000098007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036919655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mpa.0b013e3181ec124e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038077233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mpa.0b013e3181ec124e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038077233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.23549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039950836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00365528809090760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040845079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.sla.0000167862.52309.7d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041425367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.sla.0000167862.52309.7d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041425367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.sla.0000167862.52309.7d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041425367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2005.03.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046237270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0016-5085(99)70174-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051484949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077805633", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083349996", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-03", 
    "datePublishedReg": "2017-03-01", 
    "description": "INTRODUCTION: Neuroendocrine Neoplasms are classified according to the new WHO classification in (1.) well differentiated neuroendocrine tumors G1 (NET G1, Ki67\u00a0\u2264 2 or mitosis count <2) and (2.) well differentiated neuroendocrine tumors G2 (NET G2, Ki67 3-20 or mitosis count 2-20) and (3.) poorly differentiated neuroendocrine carcinomas G3 (NEC G3, Ki67\u00a0> 20 or mitosis count >20).\nMATERIAL AND METHODS: In this study 310 NENs of the Ludwig-Maximilians-University in Munich were reevaluated according to the new WHO classification.\nRESULTS: 7% of the analyzed NENs were presented as neoplasias of the stomach. In NENs of the stomach three distinct subtypes are recognized: (1) type\u00a01 associated with autoimmune chronic atrophic gastritis (2) type\u00a02, associated with multiple endocrine neoplasia (MEN1) and Zollinger-Ellison Syndrom; and (3) type\u00a03, sporadic tumors.\nDISCUSSION: Precursor lesions (i.\u2009e. hyperplasia of the ECL cells) are found in patients with hypergastrinaemia (type\u00a01 and\u00a02). This article should provide insights into the diagnosis of NENs of the stomach with emphasis on the new international standard.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00292-017-0269-x", 
    "inLanguage": [
      "de"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1091367", 
        "issn": [
          "0172-8113", 
          "1432-1963"
        ], 
        "name": "Der Pathologe", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Neuroendokrine Neoplasien des Magens", 
    "pagination": "98-104", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1b918e23fa09b22462f113a3cf6dbe1bb3acbe0d967f928bc0c27fd54f7f8fab"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28188377"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8006541"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00292-017-0269-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083742654"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00292-017-0269-x", 
      "https://app.dimensions.ai/details/publication/pub.1083742654"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:00", 
    "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/v90/0000000347_0000000347/records_89816_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00292-017-0269-x"
  }
]
 

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/s00292-017-0269-x'

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/s00292-017-0269-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00292-017-0269-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00292-017-0269-x'


 

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

161 TRIPLES      21 PREDICATES      49 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00292-017-0269-x schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author Ndacfaebbd521437fba15157805fc2947
4 schema:citation sg:pub.10.1007/s002689900026
5 sg:pub.10.1007/s00292-009-1268-3
6 sg:pub.10.1007/s00432-011-1107-9
7 https://app.dimensions.ai/details/publication/pub.1077805633
8 https://app.dimensions.ai/details/publication/pub.1083349996
9 https://doi.org/10.1002/cncr.23549
10 https://doi.org/10.1016/0016-5085(93)90266-f
11 https://doi.org/10.1016/j.surg.2004.06.057
12 https://doi.org/10.1016/s0016-5085(99)70174-5
13 https://doi.org/10.1053/j.gastro.2005.03.038
14 https://doi.org/10.1056/nejm200008243430805
15 https://doi.org/10.1097/01.sla.0000167862.52309.7d
16 https://doi.org/10.1097/mpa.0b013e3181ec124e
17 https://doi.org/10.1126/science.1200609
18 https://doi.org/10.1159/000098007
19 https://doi.org/10.1159/000199786
20 https://doi.org/10.1159/000443168
21 https://doi.org/10.1200/jco.2005.02.8233
22 https://doi.org/10.1677/erc-09-0108
23 https://doi.org/10.3109/00365528809090760
24 schema:datePublished 2017-03
25 schema:datePublishedReg 2017-03-01
26 schema:description INTRODUCTION: Neuroendocrine Neoplasms are classified according to the new WHO classification in (1.) well differentiated neuroendocrine tumors G1 (NET G1, Ki67 ≤ 2 or mitosis count <2) and (2.) well differentiated neuroendocrine tumors G2 (NET G2, Ki67 3-20 or mitosis count 2-20) and (3.) poorly differentiated neuroendocrine carcinomas G3 (NEC G3, Ki67 > 20 or mitosis count >20). MATERIAL AND METHODS: In this study 310 NENs of the Ludwig-Maximilians-University in Munich were reevaluated according to the new WHO classification. RESULTS: 7% of the analyzed NENs were presented as neoplasias of the stomach. In NENs of the stomach three distinct subtypes are recognized: (1) type 1 associated with autoimmune chronic atrophic gastritis (2) type 2, associated with multiple endocrine neoplasia (MEN1) and Zollinger-Ellison Syndrom; and (3) type 3, sporadic tumors. DISCUSSION: Precursor lesions (i. e. hyperplasia of the ECL cells) are found in patients with hypergastrinaemia (type 1 and 2). This article should provide insights into the diagnosis of NENs of the stomach with emphasis on the new international standard.
27 schema:genre research_article
28 schema:inLanguage de
29 schema:isAccessibleForFree false
30 schema:isPartOf N01f37c3f30154d1f98da552593819c5d
31 N98b7bb7a9f144e2aa1a9f9b289aa1575
32 sg:journal.1091367
33 schema:name Neuroendokrine Neoplasien des Magens
34 schema:pagination 98-104
35 schema:productId N4bc9279b9ba54e7992348bd53ce797ff
36 N785d2ba38cc14f489a03d008eab8b054
37 Na3f95217cde643038e32fdbccb6a3eab
38 Nbf681948ff9c49a5addae1f7a8b2e508
39 Nd382d86a580a43fa91d447a3e13c6f17
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083742654
41 https://doi.org/10.1007/s00292-017-0269-x
42 schema:sdDatePublished 2019-04-11T10:00
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher N56e13b48c50f49e498fe1c9313f973fd
45 schema:url https://link.springer.com/10.1007%2Fs00292-017-0269-x
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N01f37c3f30154d1f98da552593819c5d schema:issueNumber 2
50 rdf:type schema:PublicationIssue
51 N4bc9279b9ba54e7992348bd53ce797ff schema:name pubmed_id
52 schema:value 28188377
53 rdf:type schema:PropertyValue
54 N533fe36ec86740e8b679dd8fc4cb91cf rdf:first sg:person.0660737517.32
55 rdf:rest N95c691a6a6d34cbca761e35f0004b7f6
56 N56e13b48c50f49e498fe1c9313f973fd schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 N785d2ba38cc14f489a03d008eab8b054 schema:name readcube_id
59 schema:value 1b918e23fa09b22462f113a3cf6dbe1bb3acbe0d967f928bc0c27fd54f7f8fab
60 rdf:type schema:PropertyValue
61 N7fda01406b124eb4bbf0c6db8cfeb337 rdf:first sg:person.0650074000.01
62 rdf:rest rdf:nil
63 N801f896603a44738a81dafd2238be0a8 rdf:first Nebbe1107912841a89a3d8ddb2e61bbb8
64 rdf:rest N533fe36ec86740e8b679dd8fc4cb91cf
65 N95c691a6a6d34cbca761e35f0004b7f6 rdf:first sg:person.01336255412.48
66 rdf:rest N7fda01406b124eb4bbf0c6db8cfeb337
67 N98b7bb7a9f144e2aa1a9f9b289aa1575 schema:volumeNumber 38
68 rdf:type schema:PublicationVolume
69 Na3f95217cde643038e32fdbccb6a3eab schema:name nlm_unique_id
70 schema:value 8006541
71 rdf:type schema:PropertyValue
72 Nbf681948ff9c49a5addae1f7a8b2e508 schema:name doi
73 schema:value 10.1007/s00292-017-0269-x
74 rdf:type schema:PropertyValue
75 Nd382d86a580a43fa91d447a3e13c6f17 schema:name dimensions_id
76 schema:value pub.1083742654
77 rdf:type schema:PropertyValue
78 Ndacfaebbd521437fba15157805fc2947 rdf:first sg:person.01343630646.40
79 rdf:rest N801f896603a44738a81dafd2238be0a8
80 Nebbe1107912841a89a3d8ddb2e61bbb8 schema:affiliation https://www.grid.ac/institutes/grid.5252.0
81 schema:familyName Reiter
82 schema:givenName C.
83 rdf:type schema:Person
84 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
85 schema:name Medical and Health Sciences
86 rdf:type schema:DefinedTerm
87 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
88 schema:name Oncology and Carcinogenesis
89 rdf:type schema:DefinedTerm
90 sg:journal.1091367 schema:issn 0172-8113
91 1432-1963
92 schema:name Der Pathologe
93 rdf:type schema:Periodical
94 sg:person.01336255412.48 schema:affiliation https://www.grid.ac/institutes/grid.9613.d
95 schema:familyName Altendorf-Hofmann
96 schema:givenName A.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336255412.48
98 rdf:type schema:Person
99 sg:person.01343630646.40 schema:affiliation https://www.grid.ac/institutes/grid.5252.0
100 schema:familyName Knösel
101 schema:givenName T.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343630646.40
103 rdf:type schema:Person
104 sg:person.0650074000.01 schema:affiliation https://www.grid.ac/institutes/grid.5252.0
105 schema:familyName Kirchner
106 schema:givenName T.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650074000.01
108 rdf:type schema:Person
109 sg:person.0660737517.32 schema:affiliation https://www.grid.ac/institutes/grid.5252.0
110 schema:familyName Schubert-Fritschle
111 schema:givenName G.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660737517.32
113 rdf:type schema:Person
114 sg:pub.10.1007/s002689900026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033172385
115 https://doi.org/10.1007/s002689900026
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s00292-009-1268-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001464208
118 https://doi.org/10.1007/s00292-009-1268-3
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/s00432-011-1107-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001385218
121 https://doi.org/10.1007/s00432-011-1107-9
122 rdf:type schema:CreativeWork
123 https://app.dimensions.ai/details/publication/pub.1077805633 schema:CreativeWork
124 https://app.dimensions.ai/details/publication/pub.1083349996 schema:CreativeWork
125 https://doi.org/10.1002/cncr.23549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039950836
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/0016-5085(93)90266-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1030319739
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.surg.2004.06.057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022880077
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/s0016-5085(99)70174-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051484949
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1053/j.gastro.2005.03.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046237270
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1056/nejm200008243430805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031817469
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1097/01.sla.0000167862.52309.7d schema:sameAs https://app.dimensions.ai/details/publication/pub.1041425367
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1097/mpa.0b013e3181ec124e schema:sameAs https://app.dimensions.ai/details/publication/pub.1038077233
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1126/science.1200609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000382958
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1159/000098007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036919655
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1159/000199786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027648026
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1159/000443168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025680031
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1200/jco.2005.02.8233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018390540
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1677/erc-09-0108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025026246
152 rdf:type schema:CreativeWork
153 https://doi.org/10.3109/00365528809090760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040845079
154 rdf:type schema:CreativeWork
155 https://www.grid.ac/institutes/grid.5252.0 schema:alternateName Ludwig Maximilian University of Munich
156 schema:name Pathologisches Institut, Ludwig-Maximilians-Universität (LMU), Thalkirchnerstr. 36, 80337, München, Deutschland
157 Tumorregister München (TRM) des Tumorzentrums München (TZM), Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität (LMU), München, Deutschland
158 rdf:type schema:Organization
159 https://www.grid.ac/institutes/grid.9613.d schema:alternateName Friedrich Schiller University Jena
160 schema:name Abteilung für Allgemein-, Viszeral- und Gefäßchirurgie, Friedrich-Schiller-Universität, Jena, Deutschland
161 rdf:type schema:Organization
 




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


...