Clinicopathological characteristics and risk factors for recurrence of well-differentiated pancreatic neuroendocrine tumors after radical surgery: a case-control study. View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Pan Zhang, Yuan-Liang Li, Xu-Dong Qiu, Jie Luo, Yan-Fen Shi, Yong-Liang Sun, Fei Su, Zhi-Rong Qi, Huang-Ying Tan

ABSTRACT

BACKGROUND: Well-differentiated pancreatic neuroendocrine tumors (PanNETs) usually have a good prognosis; however, there are patients that experience recurrence after curative resection. AIM: To explore recurrence-related risk factors by analyzing clinicopathological data of PanNETs after radical surgery. METHODS: Clinical and pathological data from 47 patients with well-differentiated PanNETs at China-Japan Friendship Hospital from January 2012 to March 2016 were analyzed retrospectively. Univariate and multivariate analyses of the risk factors of PanNETs for postoperative recurrence were conducted. RESULTS: Among the 47 patients with well-differentiated PanNETs, there were 38 cases with non-functioning tumors, 9 cases with functional tumors (6 insulinomas, 1 gastrinoma, 1 glucagonoma, and 1 VIPomas). There are 17 cases (36.2%) in the pancreatic head, 17 (36.2%) in the body and tail, 9 (19.1%) in the tail, and 4 (8.5%) in the body. The median tumor size was 3.65 (IQR 2-5.5) cm. Fourteen cases (29.8%) were NET G1, and 33 cases (70.2%) were NET G2. In regard to the clinical stage, 9 (19.1%) cases were IA, 14 (29.8%) cases were IB, 7 (14.9%) cases were IIA, 14 (29.8%) cases were IIB, and 3 cases unknown. There were 17 patients who presented with postoperative recurrence. Univariate analysis showed that AJCC TNM staging, Ki67 index, vascular invasion, margin status, and the regional stage of the tumors are related to the recurrence of patients with PanNETs (p < 0.05). The results of multivariate analysis showed that Ki67 index ≥ 10% is an independent risk factor for the postoperative recurrence of PanNETs (p < 0.05). CONCLUSION: The Ki67 index ≥ 10% is an independent risk factor for recurrence in well-differentiated PanNETs after radical surgery, and close surveillance for these patients may be needed. More... »

PAGES

66

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12957-019-1606-8

DOI

http://dx.doi.org/10.1186/s12957-019-1606-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113377870

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30975157


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": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Beijing University of Chinese Medicine, Beijing, China.", 
            "Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Pan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Beijing University of Chinese Medicine, Beijing, China.", 
            "Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yuan-Liang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Beijing University of Chinese Medicine, Beijing, China.", 
            "Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qiu", 
        "givenName": "Xu-Dong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Department of Pathology, China-Japan Friendship Hospital, Beijing, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luo", 
        "givenName": "Jie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Department of Pathology, China-Japan Friendship Hospital, Beijing, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shi", 
        "givenName": "Yan-Fen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Department of General Surgery, China-Japan Friendship Hospital, Beijing, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sun", 
        "givenName": "Yong-Liang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Su", 
        "givenName": "Fei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qi", 
        "givenName": "Zhi-Rong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China-Japan Friendship Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415954.8", 
          "name": [
            "Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China. tanhuangying@263.net."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tan", 
        "givenName": "Huang-Ying", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejca.2011.10.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015974848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2011.10.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015974848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pan.2016.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018186503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2011.12.068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032650295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-010-0985-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033481932", 
          "https://doi.org/10.1245/s10434-010-0985-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-014-9313-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039860943", 
          "https://doi.org/10.1007/s12022-014-9313-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-014-9313-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039860943", 
          "https://doi.org/10.1007/s12022-014-9313-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000000348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042700034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000000348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042700034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surg.2016.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046395008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijsu.2015.04.088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048238313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000002123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060344426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000002123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060344426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000002123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060344426"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Well-differentiated pancreatic neuroendocrine tumors (PanNETs) usually have a good prognosis; however, there are patients that experience recurrence after curative resection.\nAIM: To explore recurrence-related risk factors by analyzing clinicopathological data of PanNETs after radical surgery.\nMETHODS: Clinical and pathological data from 47 patients with well-differentiated PanNETs at China-Japan Friendship Hospital from January 2012 to March 2016 were analyzed retrospectively. Univariate and multivariate analyses of the risk factors of PanNETs for postoperative recurrence were conducted.\nRESULTS: Among the 47 patients with well-differentiated PanNETs, there were 38 cases with non-functioning tumors, 9 cases with functional tumors (6 insulinomas, 1 gastrinoma, 1 glucagonoma, and 1 VIPomas). There are 17 cases (36.2%) in the pancreatic head, 17 (36.2%) in the body and tail, 9 (19.1%) in the tail, and 4 (8.5%) in the body. The median tumor size was 3.65 (IQR 2-5.5) cm. Fourteen cases (29.8%) were NET G1, and 33 cases (70.2%) were NET G2. In regard to the clinical stage, 9 (19.1%) cases were IA, 14 (29.8%) cases were IB, 7 (14.9%) cases were IIA, 14 (29.8%) cases were IIB, and 3 cases unknown. There were 17 patients who presented with postoperative recurrence. Univariate analysis showed that AJCC TNM staging, Ki67 index, vascular invasion, margin status, and the regional stage of the tumors are related to the recurrence of patients with PanNETs (p < 0.05). The results of multivariate analysis showed that Ki67 index \u2265\u200910% is an independent risk factor for the postoperative recurrence of PanNETs (p < 0.05).\nCONCLUSION: The Ki67 index \u2265\u200910% is an independent risk factor for recurrence in well-differentiated PanNETs after radical surgery, and close surveillance for these patients may be needed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12957-019-1606-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1032056", 
        "issn": [
          "1477-7819"
        ], 
        "name": "World Journal of Surgical Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Clinicopathological characteristics and risk factors for recurrence of well-differentiated pancreatic neuroendocrine tumors after radical surgery: a case-control study.", 
    "pagination": "66", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12957-019-1606-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113377870"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101170544"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30975157"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12957-019-1606-8", 
      "https://app.dimensions.ai/details/publication/pub.1113377870"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:21", 
    "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/v90/0000000377_0000000377/records_106804_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://wjso.biomedcentral.com/articles/10.1186/s12957-019-1606-8"
  }
]
 

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/s12957-019-1606-8'

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/s12957-019-1606-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12957-019-1606-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12957-019-1606-8'


 

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

144 TRIPLES      21 PREDICATES      37 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12957-019-1606-8 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author Ncb2dc5d7a9e84b819fcf1319fc20d0c6
4 schema:citation sg:pub.10.1007/s12022-014-9313-z
5 sg:pub.10.1245/s10434-010-0985-4
6 https://doi.org/10.1016/j.ejca.2011.10.030
7 https://doi.org/10.1016/j.ijrobp.2011.12.068
8 https://doi.org/10.1016/j.ijsu.2015.04.088
9 https://doi.org/10.1016/j.pan.2016.01.002
10 https://doi.org/10.1016/j.surg.2016.04.005
11 https://doi.org/10.1097/sla.0000000000000348
12 https://doi.org/10.1097/sla.0000000000002123
13 schema:datePublished 2019-12
14 schema:datePublishedReg 2019-12-01
15 schema:description BACKGROUND: Well-differentiated pancreatic neuroendocrine tumors (PanNETs) usually have a good prognosis; however, there are patients that experience recurrence after curative resection. AIM: To explore recurrence-related risk factors by analyzing clinicopathological data of PanNETs after radical surgery. METHODS: Clinical and pathological data from 47 patients with well-differentiated PanNETs at China-Japan Friendship Hospital from January 2012 to March 2016 were analyzed retrospectively. Univariate and multivariate analyses of the risk factors of PanNETs for postoperative recurrence were conducted. RESULTS: Among the 47 patients with well-differentiated PanNETs, there were 38 cases with non-functioning tumors, 9 cases with functional tumors (6 insulinomas, 1 gastrinoma, 1 glucagonoma, and 1 VIPomas). There are 17 cases (36.2%) in the pancreatic head, 17 (36.2%) in the body and tail, 9 (19.1%) in the tail, and 4 (8.5%) in the body. The median tumor size was 3.65 (IQR 2-5.5) cm. Fourteen cases (29.8%) were NET G1, and 33 cases (70.2%) were NET G2. In regard to the clinical stage, 9 (19.1%) cases were IA, 14 (29.8%) cases were IB, 7 (14.9%) cases were IIA, 14 (29.8%) cases were IIB, and 3 cases unknown. There were 17 patients who presented with postoperative recurrence. Univariate analysis showed that AJCC TNM staging, Ki67 index, vascular invasion, margin status, and the regional stage of the tumors are related to the recurrence of patients with PanNETs (p < 0.05). The results of multivariate analysis showed that Ki67 index ≥ 10% is an independent risk factor for the postoperative recurrence of PanNETs (p < 0.05). CONCLUSION: The Ki67 index ≥ 10% is an independent risk factor for recurrence in well-differentiated PanNETs after radical surgery, and close surveillance for these patients may be needed.
16 schema:genre research_article
17 schema:inLanguage en
18 schema:isAccessibleForFree true
19 schema:isPartOf N66faceb75b7d4455b229bb66a542042f
20 Nf68261217dea43ffa731f7ceb7168a40
21 sg:journal.1032056
22 schema:name Clinicopathological characteristics and risk factors for recurrence of well-differentiated pancreatic neuroendocrine tumors after radical surgery: a case-control study.
23 schema:pagination 66
24 schema:productId N16cad59ac6a64d708976d28d8eb84f93
25 N69d0561c691f4dbb93cbf4788833c4f2
26 Nb2e778fe83844ebb8c02860900b0bf37
27 Nbb7b321b76fa477993659b72fad9c77f
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113377870
29 https://doi.org/10.1186/s12957-019-1606-8
30 schema:sdDatePublished 2019-04-16T06:21
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher Ne6644dba2d1d45fc8d06217ca63ba851
33 schema:url https://wjso.biomedcentral.com/articles/10.1186/s12957-019-1606-8
34 sgo:license sg:explorer/license/
35 sgo:sdDataset articles
36 rdf:type schema:ScholarlyArticle
37 N0befd8b5b5cb488a86e9948c83f79e36 schema:affiliation https://www.grid.ac/institutes/grid.415954.8
38 schema:familyName Shi
39 schema:givenName Yan-Fen
40 rdf:type schema:Person
41 N16cad59ac6a64d708976d28d8eb84f93 schema:name nlm_unique_id
42 schema:value 101170544
43 rdf:type schema:PropertyValue
44 N2264ec8329da469fbe5730f8d8d0d700 schema:affiliation https://www.grid.ac/institutes/grid.415954.8
45 schema:familyName Li
46 schema:givenName Yuan-Liang
47 rdf:type schema:Person
48 N29fcf6f18b424a6e9b21c94f58507355 schema:affiliation https://www.grid.ac/institutes/grid.415954.8
49 schema:familyName Sun
50 schema:givenName Yong-Liang
51 rdf:type schema:Person
52 N4de18d062ede4e29a1f1e3cd4ce7a2e4 schema:affiliation https://www.grid.ac/institutes/grid.415954.8
53 schema:familyName Zhang
54 schema:givenName Pan
55 rdf:type schema:Person
56 N548f1cdbd56f45cf8646ecd8cf5d3008 rdf:first Ncb391ad3d4bc44f78e54b4d7d984e99b
57 rdf:rest Nc66aa106166a48f0ae35333fd1af4f8f
58 N551e51f428dc4dbfb67e63868eadfbf1 rdf:first N9ae143aab5144e5889fab1757582440d
59 rdf:rest N94791c4c157c4a6188e62afcce9d9723
60 N66faceb75b7d4455b229bb66a542042f schema:issueNumber 1
61 rdf:type schema:PublicationIssue
62 N69d0561c691f4dbb93cbf4788833c4f2 schema:name doi
63 schema:value 10.1186/s12957-019-1606-8
64 rdf:type schema:PropertyValue
65 N739cab2665584f8e8d9c53b5411adf26 rdf:first N8911235b9a524364bb9d37a9181453ed
66 rdf:rest N551e51f428dc4dbfb67e63868eadfbf1
67 N8911235b9a524364bb9d37a9181453ed schema:affiliation https://www.grid.ac/institutes/grid.415954.8
68 schema:familyName Qiu
69 schema:givenName Xu-Dong
70 rdf:type schema:Person
71 N94791c4c157c4a6188e62afcce9d9723 rdf:first N0befd8b5b5cb488a86e9948c83f79e36
72 rdf:rest Nbddba1da76364b83a212ca951b859726
73 N9ae143aab5144e5889fab1757582440d schema:affiliation https://www.grid.ac/institutes/grid.415954.8
74 schema:familyName Luo
75 schema:givenName Jie
76 rdf:type schema:Person
77 Nb2e778fe83844ebb8c02860900b0bf37 schema:name pubmed_id
78 schema:value 30975157
79 rdf:type schema:PropertyValue
80 Nbb7b321b76fa477993659b72fad9c77f schema:name dimensions_id
81 schema:value pub.1113377870
82 rdf:type schema:PropertyValue
83 Nbddba1da76364b83a212ca951b859726 rdf:first N29fcf6f18b424a6e9b21c94f58507355
84 rdf:rest N548f1cdbd56f45cf8646ecd8cf5d3008
85 Nc66aa106166a48f0ae35333fd1af4f8f rdf:first Nfa9b534744b4460d9f176f40858dcd90
86 rdf:rest Nd5bfa831d1474aab860c1de5ffd40413
87 Ncb2dc5d7a9e84b819fcf1319fc20d0c6 rdf:first N4de18d062ede4e29a1f1e3cd4ce7a2e4
88 rdf:rest Ne75f3babf45149d8ab0fc6c9df1ad910
89 Ncb391ad3d4bc44f78e54b4d7d984e99b schema:affiliation https://www.grid.ac/institutes/grid.415954.8
90 schema:familyName Su
91 schema:givenName Fei
92 rdf:type schema:Person
93 Nd5bfa831d1474aab860c1de5ffd40413 rdf:first Ned6d6221ddd84b85a05322555f5801ea
94 rdf:rest rdf:nil
95 Ne6644dba2d1d45fc8d06217ca63ba851 schema:name Springer Nature - SN SciGraph project
96 rdf:type schema:Organization
97 Ne75f3babf45149d8ab0fc6c9df1ad910 rdf:first N2264ec8329da469fbe5730f8d8d0d700
98 rdf:rest N739cab2665584f8e8d9c53b5411adf26
99 Ned6d6221ddd84b85a05322555f5801ea schema:affiliation https://www.grid.ac/institutes/grid.415954.8
100 schema:familyName Tan
101 schema:givenName Huang-Ying
102 rdf:type schema:Person
103 Nf68261217dea43ffa731f7ceb7168a40 schema:volumeNumber 17
104 rdf:type schema:PublicationVolume
105 Nfa9b534744b4460d9f176f40858dcd90 schema:affiliation https://www.grid.ac/institutes/grid.415954.8
106 schema:familyName Qi
107 schema:givenName Zhi-Rong
108 rdf:type schema:Person
109 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
110 schema:name Medical and Health Sciences
111 rdf:type schema:DefinedTerm
112 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
113 schema:name Oncology and Carcinogenesis
114 rdf:type schema:DefinedTerm
115 sg:journal.1032056 schema:issn 1477-7819
116 schema:name World Journal of Surgical Oncology
117 rdf:type schema:Periodical
118 sg:pub.10.1007/s12022-014-9313-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1039860943
119 https://doi.org/10.1007/s12022-014-9313-z
120 rdf:type schema:CreativeWork
121 sg:pub.10.1245/s10434-010-0985-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033481932
122 https://doi.org/10.1245/s10434-010-0985-4
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.ejca.2011.10.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015974848
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.ijrobp.2011.12.068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032650295
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.ijsu.2015.04.088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048238313
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.pan.2016.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018186503
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.surg.2016.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046395008
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1097/sla.0000000000000348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042700034
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1097/sla.0000000000002123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060344426
137 rdf:type schema:CreativeWork
138 https://www.grid.ac/institutes/grid.415954.8 schema:alternateName China-Japan Friendship Hospital
139 schema:name Beijing University of Chinese Medicine, Beijing, China.
140 Department of General Surgery, China-Japan Friendship Hospital, Beijing, China.
141 Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
142 Department of Integrative Oncology, China-Japan Friendship Hospital, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China. tanhuangying@263.net.
143 Department of Pathology, China-Japan Friendship Hospital, Beijing, China.
144 rdf:type schema:Organization
 




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


...