A study of tumor heterogeneity in a case with breast cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-09-29

AUTHORS

Haruka Nakada, Hiroshi Nakagomi, Yosuke Hirotsu, Kenji Amemiya, Hitoshi Mochizuki, Masayuki Inoue, Toshio Oyama, Masao Omata

ABSTRACT

Tumor heterogeneity has been suggested based on clinical and pathological findings. Several clinical findings can be explained by tumor evolution during progression and metastasis. We herein report a case of metastatic breast cancer indicated tumor heterogeneity by clinical findings and a genomic analysis. A 64-year-old woman with advanced breast cancer was treated with primary chemotherapy, to which primary tumor responded. After a 6 month treatment pause, lung, liver, and skin metastases developed and her serum tumor markers were elevated. None of those serum markers had been elevated before the treatment, despite the large tumor burden. Notably, there was discordance in the expression of human epidermal growth factor receptor 2 (HER2) between the primary tumor and metastatic skin lesions, with the former being negative and the latter positive. A genomic analysis was performed by in-house Breast Cancer Panel, which consisted of 53 pre-selected genes. Twenty-three somatic mutations were found in primary breast tumor and 7 in the skin metastasis. None of these 30 genes matched. However, the cell-free (cf) DNA in the plasma taken at the time of skin metastasis contained 10 mutations, 7 from the primary lesion and 3 from the metastasis. These data indicate that the clonal changes or tumor heterogeneity was shown in two solid tumors by clinical and the result of a genomic analysis. Of particular interest was that cell-free DNA could be a powerful tool to look into these dynamic changes. More... »

PAGES

483-489

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12282-016-0733-0

DOI

http://dx.doi.org/10.1007/s12282-016-0733-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012132693

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27687626


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": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Neoplastic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptor, ErbB-2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Skin Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417333.1", 
          "name": [
            "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakada", 
        "givenName": "Haruka", 
        "id": "sg:person.01301466667.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301466667.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417333.1", 
          "name": [
            "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakagomi", 
        "givenName": "Hiroshi", 
        "id": "sg:person.01152576336.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152576336.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417333.1", 
          "name": [
            "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hirotsu", 
        "givenName": "Yosuke", 
        "id": "sg:person.01104463136.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104463136.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417333.1", 
          "name": [
            "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amemiya", 
        "givenName": "Kenji", 
        "id": "sg:person.01271466715.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271466715.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417333.1", 
          "name": [
            "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mochizuki", 
        "givenName": "Hitoshi", 
        "id": "sg:person.01335140136.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335140136.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417333.1", 
          "name": [
            "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inoue", 
        "givenName": "Masayuki", 
        "id": "sg:person.01354217107.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354217107.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oyama", 
        "givenName": "Toshio", 
        "id": "sg:person.011405362052.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011405362052.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan", 
            "University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Omata", 
        "givenName": "Masao", 
        "id": "sg:person.0775700471.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775700471.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10549-006-9317-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046261775", 
          "https://doi.org/10.1007/s10549-006-9317-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-008-9815-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004322413", 
          "https://doi.org/10.1245/s10434-008-9815-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-015-1077-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048477603", 
          "https://doi.org/10.1186/s12885-015-1077-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024942368", 
          "https://doi.org/10.1038/nature11412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12032-016-0744-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051585301", 
          "https://doi.org/10.1007/s12032-016-0744-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-09-29", 
    "datePublishedReg": "2016-09-29", 
    "description": "Tumor heterogeneity has been suggested based on clinical and pathological findings. Several clinical findings can be explained by tumor evolution during progression and metastasis. We herein report a case of metastatic breast cancer indicated tumor heterogeneity by clinical findings and a genomic analysis. A 64-year-old woman with advanced breast cancer was treated with primary chemotherapy, to which primary tumor responded. After a 6\u00a0month treatment pause, lung, liver, and skin metastases developed and her serum tumor markers were elevated. None of those serum markers had been elevated before the treatment, despite the large tumor burden. Notably, there was discordance in the expression of human epidermal growth factor receptor 2 (HER2) between the primary tumor and metastatic skin lesions, with the former being negative and the latter positive. A genomic analysis was performed by in-house Breast Cancer Panel, which consisted of 53 pre-selected genes. Twenty-three somatic mutations were found in primary breast tumor and 7 in the skin metastasis. None of these 30 genes matched. However, the cell-free (cf) DNA in the plasma taken at the time of skin metastasis contained 10 mutations, 7 from the primary lesion and 3 from the metastasis. These data indicate that the clonal changes or tumor heterogeneity was shown in two solid tumors by clinical and the result of a genomic analysis. Of particular interest was that cell-free DNA could be a powerful tool to look into these dynamic changes.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12282-016-0733-0", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1021080", 
        "issn": [
          "1340-6868", 
          "1880-4233"
        ], 
        "name": "Breast Cancer", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "keywords": [
      "human epidermal growth factor receptor 2", 
      "skin metastases", 
      "breast cancer", 
      "cell-free DNA", 
      "clinical findings", 
      "primary tumor", 
      "tumor heterogeneity", 
      "epidermal growth factor receptor 2", 
      "large tumor burden", 
      "advanced breast cancer", 
      "metastatic breast cancer", 
      "metastatic skin lesions", 
      "serum tumor markers", 
      "growth factor receptor 2", 
      "primary breast tumors", 
      "factor receptor 2", 
      "primary chemotherapy", 
      "treatment pause", 
      "pathological findings", 
      "tumor burden", 
      "serum markers", 
      "primary lesion", 
      "tumor markers", 
      "skin lesions", 
      "receptor 2", 
      "pre-selected genes", 
      "breast tumors", 
      "metastasis", 
      "solid tumors", 
      "tumors", 
      "Cancer Panel", 
      "cancer", 
      "clonal changes", 
      "lesions", 
      "somatic mutations", 
      "tumor evolution", 
      "markers", 
      "findings", 
      "chemotherapy", 
      "lung", 
      "progression", 
      "liver", 
      "women", 
      "mutations", 
      "genomic analysis", 
      "treatment", 
      "burden", 
      "heterogeneity", 
      "cases", 
      "dynamic changes", 
      "discordance", 
      "genes", 
      "changes", 
      "expression", 
      "plasma", 
      "DNA", 
      "pauses", 
      "study", 
      "analysis", 
      "particular interest", 
      "panel", 
      "data", 
      "time", 
      "results", 
      "powerful tool", 
      "tool", 
      "interest", 
      "evolution", 
      "month treatment pause", 
      "house Breast Cancer Panel", 
      "Breast Cancer Panel"
    ], 
    "name": "A study of tumor heterogeneity in a case with breast cancer", 
    "pagination": "483-489", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012132693"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12282-016-0733-0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27687626"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12282-016-0733-0", 
      "https://app.dimensions.ai/details/publication/pub.1012132693"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_712.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12282-016-0733-0"
  }
]
 

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/s12282-016-0733-0'

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/s12282-016-0733-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12282-016-0733-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12282-016-0733-0'


 

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

240 TRIPLES      22 PREDICATES      110 URIs      97 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12282-016-0733-0 schema:about N0fe78881005f4e78bec312a6f937214b
2 N3240e62c7c344cd3bae33fb322845b83
3 N32fd6b4d06214028bfb74b127afcdeeb
4 N3c3cd80775d14f8b99399bc07aa1a9da
5 N6637f26e2f2847cc897dc1f4dad3ce90
6 N6daf1cefc7f4420fb739ba69946bbc80
7 Ne5c3dcb1462e4394a66dd60ad74d92b5
8 Nfbe50f02f56e4aae9cd363534dd25f01
9 anzsrc-for:11
10 anzsrc-for:1112
11 schema:author Nfd7006429f4f4b1ca28040ec82e3d6f3
12 schema:citation sg:pub.10.1007/s10549-006-9317-6
13 sg:pub.10.1007/s12032-016-0744-x
14 sg:pub.10.1038/nature11412
15 sg:pub.10.1186/s12885-015-1077-4
16 sg:pub.10.1245/s10434-008-9815-3
17 schema:datePublished 2016-09-29
18 schema:datePublishedReg 2016-09-29
19 schema:description Tumor heterogeneity has been suggested based on clinical and pathological findings. Several clinical findings can be explained by tumor evolution during progression and metastasis. We herein report a case of metastatic breast cancer indicated tumor heterogeneity by clinical findings and a genomic analysis. A 64-year-old woman with advanced breast cancer was treated with primary chemotherapy, to which primary tumor responded. After a 6 month treatment pause, lung, liver, and skin metastases developed and her serum tumor markers were elevated. None of those serum markers had been elevated before the treatment, despite the large tumor burden. Notably, there was discordance in the expression of human epidermal growth factor receptor 2 (HER2) between the primary tumor and metastatic skin lesions, with the former being negative and the latter positive. A genomic analysis was performed by in-house Breast Cancer Panel, which consisted of 53 pre-selected genes. Twenty-three somatic mutations were found in primary breast tumor and 7 in the skin metastasis. None of these 30 genes matched. However, the cell-free (cf) DNA in the plasma taken at the time of skin metastasis contained 10 mutations, 7 from the primary lesion and 3 from the metastasis. These data indicate that the clonal changes or tumor heterogeneity was shown in two solid tumors by clinical and the result of a genomic analysis. Of particular interest was that cell-free DNA could be a powerful tool to look into these dynamic changes.
20 schema:genre article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N5adc0e896d984265a05f41cf91e42e93
24 Naef1e8dcb26f40579ab303252f9ce2c6
25 sg:journal.1021080
26 schema:keywords Breast Cancer Panel
27 Cancer Panel
28 DNA
29 advanced breast cancer
30 analysis
31 breast cancer
32 breast tumors
33 burden
34 cancer
35 cases
36 cell-free DNA
37 changes
38 chemotherapy
39 clinical findings
40 clonal changes
41 data
42 discordance
43 dynamic changes
44 epidermal growth factor receptor 2
45 evolution
46 expression
47 factor receptor 2
48 findings
49 genes
50 genomic analysis
51 growth factor receptor 2
52 heterogeneity
53 house Breast Cancer Panel
54 human epidermal growth factor receptor 2
55 interest
56 large tumor burden
57 lesions
58 liver
59 lung
60 markers
61 metastasis
62 metastatic breast cancer
63 metastatic skin lesions
64 month treatment pause
65 mutations
66 panel
67 particular interest
68 pathological findings
69 pauses
70 plasma
71 powerful tool
72 pre-selected genes
73 primary breast tumors
74 primary chemotherapy
75 primary lesion
76 primary tumor
77 progression
78 receptor 2
79 results
80 serum markers
81 serum tumor markers
82 skin lesions
83 skin metastases
84 solid tumors
85 somatic mutations
86 study
87 time
88 tool
89 treatment
90 treatment pause
91 tumor burden
92 tumor evolution
93 tumor heterogeneity
94 tumor markers
95 tumors
96 women
97 schema:name A study of tumor heterogeneity in a case with breast cancer
98 schema:pagination 483-489
99 schema:productId N0dbf3fbed0954f29be9ab46ae9afd175
100 N1036c29a32b4425ebd0e47fd54053b7c
101 N8958169fd0d44abfa491cec18663a48a
102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012132693
103 https://doi.org/10.1007/s12282-016-0733-0
104 schema:sdDatePublished 2021-12-01T19:36
105 schema:sdLicense https://scigraph.springernature.com/explorer/license/
106 schema:sdPublisher N0311019562e04f1aba4d136d9dafe0f1
107 schema:url https://doi.org/10.1007/s12282-016-0733-0
108 sgo:license sg:explorer/license/
109 sgo:sdDataset articles
110 rdf:type schema:ScholarlyArticle
111 N0311019562e04f1aba4d136d9dafe0f1 schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 N09109f0e12254054838d85a588bf8633 rdf:first sg:person.011405362052.18
114 rdf:rest N7b5a90150a794b2faadcd4a76c0a2353
115 N0dbf3fbed0954f29be9ab46ae9afd175 schema:name pubmed_id
116 schema:value 27687626
117 rdf:type schema:PropertyValue
118 N0fe78881005f4e78bec312a6f937214b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Humans
120 rdf:type schema:DefinedTerm
121 N1036c29a32b4425ebd0e47fd54053b7c schema:name doi
122 schema:value 10.1007/s12282-016-0733-0
123 rdf:type schema:PropertyValue
124 N15eb0cbcd2eb437b8cd95e8e77ab4cdc rdf:first sg:person.01152576336.53
125 rdf:rest N8895736b950f4f9db574d6e5799efabf
126 N1fe77ac969d049b391703c394e430871 rdf:first sg:person.01335140136.50
127 rdf:rest Nb13f5ec8f47e4a9095dba134d7d2d8f8
128 N3240e62c7c344cd3bae33fb322845b83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Female
130 rdf:type schema:DefinedTerm
131 N32fd6b4d06214028bfb74b127afcdeeb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Middle Aged
133 rdf:type schema:DefinedTerm
134 N3c3cd80775d14f8b99399bc07aa1a9da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Breast Neoplasms
136 rdf:type schema:DefinedTerm
137 N5adc0e896d984265a05f41cf91e42e93 schema:volumeNumber 24
138 rdf:type schema:PublicationVolume
139 N6637f26e2f2847cc897dc1f4dad3ce90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Receptor, ErbB-2
141 rdf:type schema:DefinedTerm
142 N6daf1cefc7f4420fb739ba69946bbc80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Skin Neoplasms
144 rdf:type schema:DefinedTerm
145 N7b5a90150a794b2faadcd4a76c0a2353 rdf:first sg:person.0775700471.08
146 rdf:rest rdf:nil
147 N8895736b950f4f9db574d6e5799efabf rdf:first sg:person.01104463136.69
148 rdf:rest Naf02b9d31b944d93ab0cd3442de101f7
149 N8958169fd0d44abfa491cec18663a48a schema:name dimensions_id
150 schema:value pub.1012132693
151 rdf:type schema:PropertyValue
152 Naef1e8dcb26f40579ab303252f9ce2c6 schema:issueNumber 3
153 rdf:type schema:PublicationIssue
154 Naf02b9d31b944d93ab0cd3442de101f7 rdf:first sg:person.01271466715.07
155 rdf:rest N1fe77ac969d049b391703c394e430871
156 Nb13f5ec8f47e4a9095dba134d7d2d8f8 rdf:first sg:person.01354217107.78
157 rdf:rest N09109f0e12254054838d85a588bf8633
158 Ne5c3dcb1462e4394a66dd60ad74d92b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Mutation
160 rdf:type schema:DefinedTerm
161 Nfbe50f02f56e4aae9cd363534dd25f01 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Gene Expression Regulation, Neoplastic
163 rdf:type schema:DefinedTerm
164 Nfd7006429f4f4b1ca28040ec82e3d6f3 rdf:first sg:person.01301466667.87
165 rdf:rest N15eb0cbcd2eb437b8cd95e8e77ab4cdc
166 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
167 schema:name Medical and Health Sciences
168 rdf:type schema:DefinedTerm
169 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
170 schema:name Oncology and Carcinogenesis
171 rdf:type schema:DefinedTerm
172 sg:journal.1021080 schema:issn 1340-6868
173 1880-4233
174 schema:name Breast Cancer
175 schema:publisher Springer Nature
176 rdf:type schema:Periodical
177 sg:person.01104463136.69 schema:affiliation grid-institutes:grid.417333.1
178 schema:familyName Hirotsu
179 schema:givenName Yosuke
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104463136.69
181 rdf:type schema:Person
182 sg:person.011405362052.18 schema:affiliation grid-institutes:grid.26999.3d
183 schema:familyName Oyama
184 schema:givenName Toshio
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011405362052.18
186 rdf:type schema:Person
187 sg:person.01152576336.53 schema:affiliation grid-institutes:grid.417333.1
188 schema:familyName Nakagomi
189 schema:givenName Hiroshi
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152576336.53
191 rdf:type schema:Person
192 sg:person.01271466715.07 schema:affiliation grid-institutes:grid.417333.1
193 schema:familyName Amemiya
194 schema:givenName Kenji
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271466715.07
196 rdf:type schema:Person
197 sg:person.01301466667.87 schema:affiliation grid-institutes:grid.417333.1
198 schema:familyName Nakada
199 schema:givenName Haruka
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301466667.87
201 rdf:type schema:Person
202 sg:person.01335140136.50 schema:affiliation grid-institutes:grid.417333.1
203 schema:familyName Mochizuki
204 schema:givenName Hitoshi
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335140136.50
206 rdf:type schema:Person
207 sg:person.01354217107.78 schema:affiliation grid-institutes:grid.417333.1
208 schema:familyName Inoue
209 schema:givenName Masayuki
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354217107.78
211 rdf:type schema:Person
212 sg:person.0775700471.08 schema:affiliation grid-institutes:grid.26999.3d
213 schema:familyName Omata
214 schema:givenName Masao
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775700471.08
216 rdf:type schema:Person
217 sg:pub.10.1007/s10549-006-9317-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046261775
218 https://doi.org/10.1007/s10549-006-9317-6
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s12032-016-0744-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051585301
221 https://doi.org/10.1007/s12032-016-0744-x
222 rdf:type schema:CreativeWork
223 sg:pub.10.1038/nature11412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024942368
224 https://doi.org/10.1038/nature11412
225 rdf:type schema:CreativeWork
226 sg:pub.10.1186/s12885-015-1077-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048477603
227 https://doi.org/10.1186/s12885-015-1077-4
228 rdf:type schema:CreativeWork
229 sg:pub.10.1245/s10434-008-9815-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004322413
230 https://doi.org/10.1245/s10434-008-9815-3
231 rdf:type schema:CreativeWork
232 grid-institutes:grid.26999.3d schema:alternateName University of Tokyo, Tokyo, Japan
233 schema:name Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan
234 University of Tokyo, Tokyo, Japan
235 rdf:type schema:Organization
236 grid-institutes:grid.417333.1 schema:alternateName Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan
237 Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan
238 schema:name Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, Kofu, Yamanashi, Japan
239 Genome Analysis Center, Yamanashi Prefectural Central Hospital, Kofu, Japan
240 rdf:type schema:Organization
 




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


...