Intermuscular fat density as a novel prognostic factor in breast cancer patients treated with adjuvant chemotherapy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-07-20

AUTHORS

Ye Won Jeon, Hyung Soon Park, Yousun Ko, Yu Sub Sung, Byoung Yong Shim, Young Jin Suh, Hyun A Kim

ABSTRACT

BackgroundBody composition, including sarcopenia and fat parameters, has received much attention as a prognostic factor in breast cancer.MethodsA total of 479 breast cancer patients who underwent surgery and received adjuvant chemotherapy were enrolled in this study. Body composition, including the index and density of skeletal muscle, visceral fat, subcutaneous fat, and intermuscular fat calculated by CT scan, was used as a prognostic factor. The endpoints were breast cancer-specific survival (BCSS) and overall survival (OS).ResultsThe number of patients with stages I, II, and III was 146 (30.5%), 237 (49.5%), and 96 (20%), respectively. Sarcopenia and muscle density were not significant prognostic factors for BCSS and OS. A high visceral fat index (VFI) was an independent prognostic factor for BCSS (HR, 2.55; 95% CI 1.10–5.95, p = 0.03) and OS (HR 2.55, 95% CI 1.26–5.16, p = 0.01). In addition, high intermuscular fat density (IMFD) was also a significant prognostic factor for BCSS (HR, 2.95; 95% CI 1.34–6.46, p = 0.007) and OS (HR 2.28, 95% CI 1.22–4.26, p = 0.01) in multivariate analysis.ConclusionVFI and IMFD were significant prognostic factors for BCSS and OS in breast cancer patients treated with adjuvant chemotherapy. More... »

PAGES

759-768

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-021-06322-4

DOI

http://dx.doi.org/10.1007/s10549-021-06322-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1139805074

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34283341


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Composition", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chemotherapy, Adjuvant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sarcopenia", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Surgery, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Surgery, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeon", 
        "givenName": "Ye Won", 
        "id": "sg:person.0627561356.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627561356.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Division of Medical Oncology, Department of Internal Medicine, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea", 
            "Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Hyung Soon", 
        "id": "sg:person.0614657656.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614657656.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ko", 
        "givenName": "Yousun", 
        "id": "sg:person.01137623345.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137623345.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.267370.7", 
          "name": [
            "Clinical Research Center, Asan Medical Center, Seoul, Korea", 
            "Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sung", 
        "givenName": "Yu Sub", 
        "id": "sg:person.0671111600.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671111600.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Medical Oncology, Department of Internal Medicine, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Division of Medical Oncology, Department of Internal Medicine, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shim", 
        "givenName": "Byoung Yong", 
        "id": "sg:person.01206727776.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206727776.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "Department of Surgery, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suh", 
        "givenName": "Young Jin", 
        "id": "sg:person.01003642641.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003642641.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, #93, Jungbu-daero, Paldal-gu, 16247, Suwon-si, Gyenggi-Do, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.416965.9", 
          "name": [
            "Department of Radiology, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, #93, Jungbu-daero, Paldal-gu, 16247, Suwon-si, Gyenggi-Do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hyun A", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00520-017-3902-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091915461", 
          "https://doi.org/10.1007/s00520-017-3902-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-018-4915-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106279242", 
          "https://doi.org/10.1007/s10549-018-4915-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-020-6645-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1125407560", 
          "https://doi.org/10.1186/s12885-020-6645-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2017.149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085882622", 
          "https://doi.org/10.1038/bjc.2017.149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-018-5014-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107798384", 
          "https://doi.org/10.1007/s10549-018-5014-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-015-1879-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008467758", 
          "https://doi.org/10.1186/s12885-015-1879-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40959-019-0038-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1113913270", 
          "https://doi.org/10.1186/s40959-019-0038-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-019-05467-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1121856837", 
          "https://doi.org/10.1007/s10549-019-05467-7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-07-20", 
    "datePublishedReg": "2021-07-20", 
    "description": "BackgroundBody composition, including sarcopenia and fat parameters, has received much attention as a prognostic factor in breast cancer.MethodsA total of 479 breast cancer patients who underwent surgery and received adjuvant chemotherapy were enrolled in this study. Body composition, including the index and density of skeletal muscle, visceral fat, subcutaneous fat, and intermuscular fat calculated by CT scan, was used as a prognostic factor. The endpoints were breast cancer-specific survival (BCSS) and overall survival (OS).ResultsThe number of patients with stages I, II, and III was 146 (30.5%), 237 (49.5%), and 96 (20%), respectively. Sarcopenia and muscle density were not significant prognostic factors for BCSS and OS. A high visceral fat index (VFI) was an independent prognostic factor for BCSS (HR, 2.55; 95% CI 1.10\u20135.95, p\u2009=\u20090.03) and OS (HR 2.55, 95% CI 1.26\u20135.16, p\u2009=\u20090.01). In addition, high intermuscular fat density (IMFD) was also a significant prognostic factor for BCSS (HR, 2.95; 95% CI 1.34\u20136.46, p\u2009=\u20090.007) and OS (HR 2.28, 95% CI 1.22\u20134.26, p\u2009=\u20090.01) in multivariate analysis.ConclusionVFI and IMFD were significant prognostic factors for BCSS and OS in breast cancer patients treated with adjuvant chemotherapy.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10549-021-06322-4", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "189"
      }
    ], 
    "keywords": [
      "breast cancer-specific survival", 
      "significant prognostic factors", 
      "breast cancer patients", 
      "prognostic factors", 
      "overall survival", 
      "visceral fat index", 
      "adjuvant chemotherapy", 
      "cancer patients", 
      "fat density", 
      "high visceral fat index", 
      "cancer-specific survival", 
      "independent prognostic factor", 
      "novel prognostic factor", 
      "number of patients", 
      "muscle density", 
      "breast cancer", 
      "CT scan", 
      "stage I", 
      "body composition", 
      "fat parameters", 
      "patients", 
      "multivariate analysis", 
      "subcutaneous fat", 
      "chemotherapy", 
      "skeletal muscle", 
      "fat index", 
      "sarcopenia", 
      "intermuscular fat", 
      "survival", 
      "fat", 
      "factors", 
      "surgery", 
      "cancer", 
      "endpoint", 
      "muscle", 
      "index", 
      "scans", 
      "total", 
      "study", 
      "addition", 
      "number", 
      "analysis", 
      "attention", 
      "density", 
      "composition", 
      "parameters"
    ], 
    "name": "Intermuscular fat density as a novel prognostic factor in breast cancer patients treated with adjuvant chemotherapy", 
    "pagination": "759-768", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1139805074"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10549-021-06322-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34283341"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10549-021-06322-4", 
      "https://app.dimensions.ai/details/publication/pub.1139805074"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:48", 
    "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_885.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10549-021-06322-4"
  }
]
 

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/s10549-021-06322-4'

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/s10549-021-06322-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-021-06322-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-021-06322-4'


 

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

222 TRIPLES      21 PREDICATES      86 URIs      70 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10549-021-06322-4 schema:about N1434d0056be4478bb303ef0521f39bbb
2 N1b18ddcfa9504ac498dbacd452f5f984
3 N241b395cab7e453ca82aca9d9490db49
4 N3fb5bd45bd134cb98b41120baa3bb0ff
5 N6fc4693d54bb43df8f4415e5f0ed2b8a
6 N95a47db54c6f42ec8b2af21db0f5d6ab
7 Ne63cd242c93e446897ea03ad601aef5a
8 anzsrc-for:11
9 anzsrc-for:1112
10 schema:author N24f91c7325af45c88035b363fa752916
11 schema:citation sg:pub.10.1007/s00520-017-3902-6
12 sg:pub.10.1007/s10549-018-4915-7
13 sg:pub.10.1007/s10549-018-5014-5
14 sg:pub.10.1007/s10549-019-05467-7
15 sg:pub.10.1038/bjc.2017.149
16 sg:pub.10.1186/s12885-015-1879-4
17 sg:pub.10.1186/s12885-020-6645-6
18 sg:pub.10.1186/s40959-019-0038-5
19 schema:datePublished 2021-07-20
20 schema:datePublishedReg 2021-07-20
21 schema:description BackgroundBody composition, including sarcopenia and fat parameters, has received much attention as a prognostic factor in breast cancer.MethodsA total of 479 breast cancer patients who underwent surgery and received adjuvant chemotherapy were enrolled in this study. Body composition, including the index and density of skeletal muscle, visceral fat, subcutaneous fat, and intermuscular fat calculated by CT scan, was used as a prognostic factor. The endpoints were breast cancer-specific survival (BCSS) and overall survival (OS).ResultsThe number of patients with stages I, II, and III was 146 (30.5%), 237 (49.5%), and 96 (20%), respectively. Sarcopenia and muscle density were not significant prognostic factors for BCSS and OS. A high visceral fat index (VFI) was an independent prognostic factor for BCSS (HR, 2.55; 95% CI 1.10–5.95, p = 0.03) and OS (HR 2.55, 95% CI 1.26–5.16, p = 0.01). In addition, high intermuscular fat density (IMFD) was also a significant prognostic factor for BCSS (HR, 2.95; 95% CI 1.34–6.46, p = 0.007) and OS (HR 2.28, 95% CI 1.22–4.26, p = 0.01) in multivariate analysis.ConclusionVFI and IMFD were significant prognostic factors for BCSS and OS in breast cancer patients treated with adjuvant chemotherapy.
22 schema:genre article
23 schema:isAccessibleForFree false
24 schema:isPartOf N8cba85259c294e8b940da08daaeefeac
25 Nfdfc05aadf874e03862cbb727ed73482
26 sg:journal.1092777
27 schema:keywords CT scan
28 addition
29 adjuvant chemotherapy
30 analysis
31 attention
32 body composition
33 breast cancer
34 breast cancer patients
35 breast cancer-specific survival
36 cancer
37 cancer patients
38 cancer-specific survival
39 chemotherapy
40 composition
41 density
42 endpoint
43 factors
44 fat
45 fat density
46 fat index
47 fat parameters
48 high visceral fat index
49 independent prognostic factor
50 index
51 intermuscular fat
52 multivariate analysis
53 muscle
54 muscle density
55 novel prognostic factor
56 number
57 number of patients
58 overall survival
59 parameters
60 patients
61 prognostic factors
62 sarcopenia
63 scans
64 significant prognostic factors
65 skeletal muscle
66 stage I
67 study
68 subcutaneous fat
69 surgery
70 survival
71 total
72 visceral fat index
73 schema:name Intermuscular fat density as a novel prognostic factor in breast cancer patients treated with adjuvant chemotherapy
74 schema:pagination 759-768
75 schema:productId N04b6c3755c5d49e9b0804b089d9ce95c
76 Nb4edd8246ee34bd3966dfe7b5eb7a994
77 Nd3e6f987828e461a856be81f41a2684e
78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1139805074
79 https://doi.org/10.1007/s10549-021-06322-4
80 schema:sdDatePublished 2022-10-01T06:48
81 schema:sdLicense https://scigraph.springernature.com/explorer/license/
82 schema:sdPublisher Nc74c4603b3794d30bad25f604c655f27
83 schema:url https://doi.org/10.1007/s10549-021-06322-4
84 sgo:license sg:explorer/license/
85 sgo:sdDataset articles
86 rdf:type schema:ScholarlyArticle
87 N04b6c3755c5d49e9b0804b089d9ce95c schema:name doi
88 schema:value 10.1007/s10549-021-06322-4
89 rdf:type schema:PropertyValue
90 N0e99d4673084432d8db2ac3fdfdeb08c schema:affiliation grid-institutes:grid.416965.9
91 schema:familyName Kim
92 schema:givenName Hyun A
93 rdf:type schema:Person
94 N1434d0056be4478bb303ef0521f39bbb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Humans
96 rdf:type schema:DefinedTerm
97 N19830c91f14d4f738fc6ad99154d818c rdf:first sg:person.01137623345.18
98 rdf:rest N1b211cdac3e44cb994eca48ebde5a094
99 N1b18ddcfa9504ac498dbacd452f5f984 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Prognosis
101 rdf:type schema:DefinedTerm
102 N1b211cdac3e44cb994eca48ebde5a094 rdf:first sg:person.0671111600.05
103 rdf:rest N628d052604214c86a7ef22336b7f6c06
104 N241b395cab7e453ca82aca9d9490db49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Sarcopenia
106 rdf:type schema:DefinedTerm
107 N24f91c7325af45c88035b363fa752916 rdf:first sg:person.0627561356.26
108 rdf:rest Nb0430701d36845949e0591f5ad1d73af
109 N3fb5bd45bd134cb98b41120baa3bb0ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Body Composition
111 rdf:type schema:DefinedTerm
112 N628d052604214c86a7ef22336b7f6c06 rdf:first sg:person.01206727776.20
113 rdf:rest Nc805c9a84f5e4d8c8cf0ba85706cb984
114 N6fc4693d54bb43df8f4415e5f0ed2b8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Chemotherapy, Adjuvant
116 rdf:type schema:DefinedTerm
117 N84916044ef514598a5be61c0c37c6ae8 rdf:first N0e99d4673084432d8db2ac3fdfdeb08c
118 rdf:rest rdf:nil
119 N8cba85259c294e8b940da08daaeefeac schema:issueNumber 3
120 rdf:type schema:PublicationIssue
121 N95a47db54c6f42ec8b2af21db0f5d6ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Breast Neoplasms
123 rdf:type schema:DefinedTerm
124 Nb0430701d36845949e0591f5ad1d73af rdf:first sg:person.0614657656.92
125 rdf:rest N19830c91f14d4f738fc6ad99154d818c
126 Nb4edd8246ee34bd3966dfe7b5eb7a994 schema:name pubmed_id
127 schema:value 34283341
128 rdf:type schema:PropertyValue
129 Nc74c4603b3794d30bad25f604c655f27 schema:name Springer Nature - SN SciGraph project
130 rdf:type schema:Organization
131 Nc805c9a84f5e4d8c8cf0ba85706cb984 rdf:first sg:person.01003642641.32
132 rdf:rest N84916044ef514598a5be61c0c37c6ae8
133 Nd3e6f987828e461a856be81f41a2684e schema:name dimensions_id
134 schema:value pub.1139805074
135 rdf:type schema:PropertyValue
136 Ne63cd242c93e446897ea03ad601aef5a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Female
138 rdf:type schema:DefinedTerm
139 Nfdfc05aadf874e03862cbb727ed73482 schema:volumeNumber 189
140 rdf:type schema:PublicationVolume
141 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
142 schema:name Medical and Health Sciences
143 rdf:type schema:DefinedTerm
144 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
145 schema:name Oncology and Carcinogenesis
146 rdf:type schema:DefinedTerm
147 sg:journal.1092777 schema:issn 0167-6806
148 1573-7217
149 schema:name Breast Cancer Research and Treatment
150 schema:publisher Springer Nature
151 rdf:type schema:Periodical
152 sg:person.01003642641.32 schema:affiliation grid-institutes:grid.411947.e
153 schema:familyName Suh
154 schema:givenName Young Jin
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003642641.32
156 rdf:type schema:Person
157 sg:person.01137623345.18 schema:affiliation grid-institutes:grid.413967.e
158 schema:familyName Ko
159 schema:givenName Yousun
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137623345.18
161 rdf:type schema:Person
162 sg:person.01206727776.20 schema:affiliation grid-institutes:grid.411947.e
163 schema:familyName Shim
164 schema:givenName Byoung Yong
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206727776.20
166 rdf:type schema:Person
167 sg:person.0614657656.92 schema:affiliation grid-institutes:grid.411947.e
168 schema:familyName Park
169 schema:givenName Hyung Soon
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614657656.92
171 rdf:type schema:Person
172 sg:person.0627561356.26 schema:affiliation grid-institutes:grid.411947.e
173 schema:familyName Jeon
174 schema:givenName Ye Won
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627561356.26
176 rdf:type schema:Person
177 sg:person.0671111600.05 schema:affiliation grid-institutes:grid.267370.7
178 schema:familyName Sung
179 schema:givenName Yu Sub
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671111600.05
181 rdf:type schema:Person
182 sg:pub.10.1007/s00520-017-3902-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091915461
183 https://doi.org/10.1007/s00520-017-3902-6
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s10549-018-4915-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106279242
186 https://doi.org/10.1007/s10549-018-4915-7
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s10549-018-5014-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107798384
189 https://doi.org/10.1007/s10549-018-5014-5
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/s10549-019-05467-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1121856837
192 https://doi.org/10.1007/s10549-019-05467-7
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/bjc.2017.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085882622
195 https://doi.org/10.1038/bjc.2017.149
196 rdf:type schema:CreativeWork
197 sg:pub.10.1186/s12885-015-1879-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008467758
198 https://doi.org/10.1186/s12885-015-1879-4
199 rdf:type schema:CreativeWork
200 sg:pub.10.1186/s12885-020-6645-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125407560
201 https://doi.org/10.1186/s12885-020-6645-6
202 rdf:type schema:CreativeWork
203 sg:pub.10.1186/s40959-019-0038-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113913270
204 https://doi.org/10.1186/s40959-019-0038-5
205 rdf:type schema:CreativeWork
206 grid-institutes:grid.267370.7 schema:alternateName Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea
207 schema:name Clinical Research Center, Asan Medical Center, Seoul, Korea
208 Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea
209 rdf:type schema:Organization
210 grid-institutes:grid.411947.e schema:alternateName Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
211 Department of Surgery, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
212 Division of Medical Oncology, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
213 schema:name Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
214 Department of Surgery, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
215 Division of Medical Oncology, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
216 rdf:type schema:Organization
217 grid-institutes:grid.413967.e schema:alternateName Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea
218 schema:name Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea
219 rdf:type schema:Organization
220 grid-institutes:grid.416965.9 schema:alternateName Department of Radiology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, #93, Jungbu-daero, Paldal-gu, 16247, Suwon-si, Gyenggi-Do, Republic of Korea
221 schema:name Department of Radiology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, #93, Jungbu-daero, Paldal-gu, 16247, Suwon-si, Gyenggi-Do, Republic of Korea
222 rdf:type schema:Organization
 




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


...