Placental growth factor is a predictive biomarker for ramucirumab treatment in advanced gastric cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-21

AUTHORS

Makoto Natsume, Takaya Shimura, Hiroyasu Iwasaki, Yusuke Okuda, Mika Kitagawa, Yasuyuki Okamoto, Kazuki Hayashi, Hiromi Kataoka

ABSTRACT

PURPOSE: Ramucirumab (RAM) has been used as the second-line standard chemotherapy for advanced gastric cancer (AGC) either alone or combination with paclitaxel (PTX). However, no predictive biomarkers have been identified for RAM treatment in AGC. METHODS: We retrospectively identified 26 patients who received either RAM monotherapy or RAM + PTX therapy for AGC refractory to fluoropyrimidine and platinum agents from 2015 to 2018 at Nagoya City University Hospital. First, we extracted RNA using gastric cancer (GC) tissues from two responders and two non-responders, and then analyzed 24 VEGFR-related angiogenic genes. Subsequently, we examined the relationship between the expression of each angiogenic gene and RAM clinical activity in the entire cohort. Finally, we validated using in vitro angiogenesis assays using GC cells and microvascular endothelial cells. RESULTS: We identified five angiogenic genes with aberrant expression between RAM responders and non-responders and placental growth factor (PlGF) was the most significant gene among them. Overall survival (P = 0.046) and progression-free survival (P = 0.016) were significantly shorter in the PlGF-high group than in the PlGF-low group. Overall response rates were 50% in the PlGF-low group and 0% in the PlGF-high group. In GC cells co-cultured with endothelial cells, PlGF gene silencing from GC cells significantly reinforced the inhibitory effect of RAM in the in vitro angiogenesis assay (tube formation assay and endothelial migration) through the inactivation of ERK, in comparison to the control GC cells. CONCLUSIONS: PlGF gene expression in gastric cancer tissues could be a predictive indicator of AGC treatment by RAM. More... »

PAGES

1-10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00280-019-03817-2

DOI

http://dx.doi.org/10.1007/s00280-019-03817-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112918589

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30899983


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": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Natsume", 
        "givenName": "Makoto", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimura", 
        "givenName": "Takaya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwasaki", 
        "givenName": "Hiroyasu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okuda", 
        "givenName": "Yusuke", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kitagawa", 
        "givenName": "Mika", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okamoto", 
        "givenName": "Yasuyuki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hayashi", 
        "givenName": "Kazuki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya City University", 
          "id": "https://www.grid.ac/institutes/grid.260433.0", 
          "name": [
            "Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kataoka", 
        "givenName": "Hiromi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/sj.onc.1201545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004389778", 
          "https://doi.org/10.1038/sj.onc.1201545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1201545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004389778", 
          "https://doi.org/10.1038/sj.onc.1201545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1940-6207.capr-14-0229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006939264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2009.23.7537", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008279273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa032691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014051315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(14)70420-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018632115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.29210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018963471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(08)70035-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019357419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2014.59.4812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026384267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-13-1442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026446434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2008.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026558254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(13)61719-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026636148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181577511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030339329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181577511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030339329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm0603-669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031340920", 
          "https://doi.org/10.1038/nm0603-669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm0603-669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031340920", 
          "https://doi.org/10.1038/nm0603-669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdu472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031429641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm197111182852108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031952402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2014.06.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037138288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2016.293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041636933", 
          "https://doi.org/10.1038/bjc.2016.293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(10)61121-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044182432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082569743", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.16453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084373564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdx767", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099765096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tranon.2018.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111101648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tranon.2018.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111101648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tranon.2018.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111101648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tranon.2018.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111101648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tranon.2018.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111101648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tranon.2018.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111101648"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-21", 
    "datePublishedReg": "2019-03-21", 
    "description": "PURPOSE: Ramucirumab (RAM) has been used as the second-line standard chemotherapy for advanced gastric cancer (AGC) either alone or combination with paclitaxel (PTX). However, no predictive biomarkers have been identified for RAM treatment in AGC.\nMETHODS: We retrospectively identified 26 patients who received either RAM monotherapy or RAM\u2009+\u2009PTX therapy for AGC refractory to fluoropyrimidine and platinum agents from 2015 to 2018\u00a0at Nagoya City University Hospital. First, we extracted RNA using gastric cancer (GC) tissues from two responders and two non-responders, and then analyzed 24 VEGFR-related angiogenic genes. Subsequently, we examined the relationship between the expression of each angiogenic gene and RAM clinical activity in the entire cohort. Finally, we validated using in vitro angiogenesis assays using GC cells and microvascular endothelial cells.\nRESULTS: We identified five angiogenic genes with aberrant expression between RAM responders and non-responders and placental growth factor (PlGF) was the most significant gene among them. Overall survival (P\u2009=\u20090.046) and progression-free survival (P\u2009=\u20090.016) were significantly shorter in the PlGF-high group than in the PlGF-low group. Overall response rates were 50% in the PlGF-low group and 0% in the PlGF-high group. In GC cells co-cultured with endothelial cells, PlGF gene silencing from GC cells significantly reinforced the inhibitory effect of RAM in the in vitro angiogenesis assay (tube formation assay and endothelial migration) through the inactivation of ERK, in comparison to the control GC cells.\nCONCLUSIONS: PlGF gene expression in gastric cancer tissues could be a predictive indicator of AGC treatment by RAM.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00280-019-03817-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1088364", 
        "issn": [
          "0344-5704", 
          "1432-0843"
        ], 
        "name": "Cancer Chemotherapy and Pharmacology", 
        "type": "Periodical"
      }
    ], 
    "name": "Placental growth factor is a predictive biomarker for ramucirumab treatment in advanced gastric cancer", 
    "pagination": "1-10", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d30eda12210479566020e548ec9a63ba73c2fa122dadca4a7d8fc88e54d1d354"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30899983"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7806519"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00280-019-03817-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112918589"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00280-019-03817-2", 
      "https://app.dimensions.ai/details/publication/pub.1112918589"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:53", 
    "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/v90/0000000364_0000000364/records_72850_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00280-019-03817-2"
  }
]
 

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/s00280-019-03817-2'

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/s00280-019-03817-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00280-019-03817-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00280-019-03817-2'


 

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

172 TRIPLES      21 PREDICATES      48 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00280-019-03817-2 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author N7e8d2fc135cd44c598ae82263c2c59f9
4 schema:citation sg:pub.10.1038/bjc.2016.293
5 sg:pub.10.1038/nm0603-669
6 sg:pub.10.1038/sj.onc.1201545
7 https://app.dimensions.ai/details/publication/pub.1082569743
8 https://doi.org/10.1002/ijc.29210
9 https://doi.org/10.1016/j.ejca.2008.10.026
10 https://doi.org/10.1016/j.tranon.2018.12.006
11 https://doi.org/10.1016/j.ygyno.2014.06.029
12 https://doi.org/10.1016/s0140-6736(10)61121-x
13 https://doi.org/10.1016/s0140-6736(13)61719-5
14 https://doi.org/10.1016/s1470-2045(08)70035-4
15 https://doi.org/10.1016/s1470-2045(14)70420-6
16 https://doi.org/10.1056/nejm197111182852108
17 https://doi.org/10.1056/nejmoa032691
18 https://doi.org/10.1093/annonc/mdu472
19 https://doi.org/10.1093/annonc/mdx767
20 https://doi.org/10.1097/ede.0b013e3181577511
21 https://doi.org/10.1158/1078-0432.ccr-13-1442
22 https://doi.org/10.1158/1940-6207.capr-14-0229
23 https://doi.org/10.1200/jco.2009.23.7537
24 https://doi.org/10.1200/jco.2014.59.4812
25 https://doi.org/10.18632/oncotarget.16453
26 schema:datePublished 2019-03-21
27 schema:datePublishedReg 2019-03-21
28 schema:description PURPOSE: Ramucirumab (RAM) has been used as the second-line standard chemotherapy for advanced gastric cancer (AGC) either alone or combination with paclitaxel (PTX). However, no predictive biomarkers have been identified for RAM treatment in AGC. METHODS: We retrospectively identified 26 patients who received either RAM monotherapy or RAM + PTX therapy for AGC refractory to fluoropyrimidine and platinum agents from 2015 to 2018 at Nagoya City University Hospital. First, we extracted RNA using gastric cancer (GC) tissues from two responders and two non-responders, and then analyzed 24 VEGFR-related angiogenic genes. Subsequently, we examined the relationship between the expression of each angiogenic gene and RAM clinical activity in the entire cohort. Finally, we validated using in vitro angiogenesis assays using GC cells and microvascular endothelial cells. RESULTS: We identified five angiogenic genes with aberrant expression between RAM responders and non-responders and placental growth factor (PlGF) was the most significant gene among them. Overall survival (P = 0.046) and progression-free survival (P = 0.016) were significantly shorter in the PlGF-high group than in the PlGF-low group. Overall response rates were 50% in the PlGF-low group and 0% in the PlGF-high group. In GC cells co-cultured with endothelial cells, PlGF gene silencing from GC cells significantly reinforced the inhibitory effect of RAM in the in vitro angiogenesis assay (tube formation assay and endothelial migration) through the inactivation of ERK, in comparison to the control GC cells. CONCLUSIONS: PlGF gene expression in gastric cancer tissues could be a predictive indicator of AGC treatment by RAM.
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree false
32 schema:isPartOf sg:journal.1088364
33 schema:name Placental growth factor is a predictive biomarker for ramucirumab treatment in advanced gastric cancer
34 schema:pagination 1-10
35 schema:productId N51ba3493e3d74112a044f4379c02cd01
36 N90b30df2ecd149caaae9f0326cf1078c
37 N94da0b0cf2a94114b8c109dc2fbda3bb
38 Na78d1ed603ba47f2a370540bed93b974
39 Nc2e5710877a2440bbe2e17ae350935d9
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112918589
41 https://doi.org/10.1007/s00280-019-03817-2
42 schema:sdDatePublished 2019-04-11T12:53
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher N572e4ff1d66d41f1ae333d2e7312760a
45 schema:url https://link.springer.com/10.1007%2Fs00280-019-03817-2
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N1816e0bd679e4fc790a083f98a1472ca schema:affiliation https://www.grid.ac/institutes/grid.260433.0
50 schema:familyName Okamoto
51 schema:givenName Yasuyuki
52 rdf:type schema:Person
53 N2848726894b74cdb9e7a893fab3b964e schema:affiliation https://www.grid.ac/institutes/grid.260433.0
54 schema:familyName Kitagawa
55 schema:givenName Mika
56 rdf:type schema:Person
57 N2e9d7d1e95e04cddb62cd1ad39cbbbcb schema:affiliation https://www.grid.ac/institutes/grid.260433.0
58 schema:familyName Natsume
59 schema:givenName Makoto
60 rdf:type schema:Person
61 N51ba3493e3d74112a044f4379c02cd01 schema:name readcube_id
62 schema:value d30eda12210479566020e548ec9a63ba73c2fa122dadca4a7d8fc88e54d1d354
63 rdf:type schema:PropertyValue
64 N5365f0059b53459c85694d177b7a202d schema:affiliation https://www.grid.ac/institutes/grid.260433.0
65 schema:familyName Shimura
66 schema:givenName Takaya
67 rdf:type schema:Person
68 N572e4ff1d66d41f1ae333d2e7312760a schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N5a86a5bcf7154cb59682fe1eb6f40afe rdf:first Nab39c8162a48444090979f75dfbe4049
71 rdf:rest rdf:nil
72 N7e8d2fc135cd44c598ae82263c2c59f9 rdf:first N2e9d7d1e95e04cddb62cd1ad39cbbbcb
73 rdf:rest Nc608aa1357114770a802fd1aaecc49ac
74 N90b30df2ecd149caaae9f0326cf1078c schema:name dimensions_id
75 schema:value pub.1112918589
76 rdf:type schema:PropertyValue
77 N94da0b0cf2a94114b8c109dc2fbda3bb schema:name nlm_unique_id
78 schema:value 7806519
79 rdf:type schema:PropertyValue
80 N996a8791e98b4caabcb5b50808ebf63d rdf:first N1816e0bd679e4fc790a083f98a1472ca
81 rdf:rest Ndbe4ff3d4a87401699d7e72b143e520d
82 N9c3422ee075844e1a14b1ec9c99a84c1 rdf:first N2848726894b74cdb9e7a893fab3b964e
83 rdf:rest N996a8791e98b4caabcb5b50808ebf63d
84 Na78d1ed603ba47f2a370540bed93b974 schema:name pubmed_id
85 schema:value 30899983
86 rdf:type schema:PropertyValue
87 Nab39c8162a48444090979f75dfbe4049 schema:affiliation https://www.grid.ac/institutes/grid.260433.0
88 schema:familyName Kataoka
89 schema:givenName Hiromi
90 rdf:type schema:Person
91 Nc063708e43d94486a22fd0528d33fb21 schema:affiliation https://www.grid.ac/institutes/grid.260433.0
92 schema:familyName Iwasaki
93 schema:givenName Hiroyasu
94 rdf:type schema:Person
95 Nc2e5710877a2440bbe2e17ae350935d9 schema:name doi
96 schema:value 10.1007/s00280-019-03817-2
97 rdf:type schema:PropertyValue
98 Nc5c7f0dd79094694a081a9250d77fcc3 rdf:first Nc063708e43d94486a22fd0528d33fb21
99 rdf:rest Ncdf61063411144c2b93f68c652892fe4
100 Nc608aa1357114770a802fd1aaecc49ac rdf:first N5365f0059b53459c85694d177b7a202d
101 rdf:rest Nc5c7f0dd79094694a081a9250d77fcc3
102 Ncdf61063411144c2b93f68c652892fe4 rdf:first Nce21dff4f6a64bb9a19cb581faef0f4f
103 rdf:rest N9c3422ee075844e1a14b1ec9c99a84c1
104 Nce21dff4f6a64bb9a19cb581faef0f4f schema:affiliation https://www.grid.ac/institutes/grid.260433.0
105 schema:familyName Okuda
106 schema:givenName Yusuke
107 rdf:type schema:Person
108 Ndbe4ff3d4a87401699d7e72b143e520d rdf:first Ne9135c862fae406d9ac5f65724d3bc05
109 rdf:rest N5a86a5bcf7154cb59682fe1eb6f40afe
110 Ne9135c862fae406d9ac5f65724d3bc05 schema:affiliation https://www.grid.ac/institutes/grid.260433.0
111 schema:familyName Hayashi
112 schema:givenName Kazuki
113 rdf:type schema:Person
114 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
115 schema:name Medical and Health Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
118 schema:name Oncology and Carcinogenesis
119 rdf:type schema:DefinedTerm
120 sg:journal.1088364 schema:issn 0344-5704
121 1432-0843
122 schema:name Cancer Chemotherapy and Pharmacology
123 rdf:type schema:Periodical
124 sg:pub.10.1038/bjc.2016.293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041636933
125 https://doi.org/10.1038/bjc.2016.293
126 rdf:type schema:CreativeWork
127 sg:pub.10.1038/nm0603-669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031340920
128 https://doi.org/10.1038/nm0603-669
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/sj.onc.1201545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004389778
131 https://doi.org/10.1038/sj.onc.1201545
132 rdf:type schema:CreativeWork
133 https://app.dimensions.ai/details/publication/pub.1082569743 schema:CreativeWork
134 https://doi.org/10.1002/ijc.29210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018963471
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.ejca.2008.10.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026558254
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.tranon.2018.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111101648
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.ygyno.2014.06.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037138288
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/s0140-6736(10)61121-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044182432
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/s0140-6736(13)61719-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026636148
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/s1470-2045(08)70035-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019357419
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s1470-2045(14)70420-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018632115
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1056/nejm197111182852108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031952402
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1056/nejmoa032691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014051315
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1093/annonc/mdu472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031429641
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1093/annonc/mdx767 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099765096
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1097/ede.0b013e3181577511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030339329
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1158/1078-0432.ccr-13-1442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026446434
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1158/1940-6207.capr-14-0229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006939264
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1200/jco.2009.23.7537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008279273
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1200/jco.2014.59.4812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026384267
167 rdf:type schema:CreativeWork
168 https://doi.org/10.18632/oncotarget.16453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084373564
169 rdf:type schema:CreativeWork
170 https://www.grid.ac/institutes/grid.260433.0 schema:alternateName Nagoya City University
171 schema:name Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, 467-8601, Nagoya, Japan
172 rdf:type schema:Organization
 




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


...