Accurate detection of KRAS, NRAS and BRAF mutations in metastatic colorectal cancers by bridged nucleic acid-clamp real-time PCR View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-11-11

AUTHORS

Yuki Nagakubo, Yosuke Hirotsu, Kenji Amemiya, Toshio Oyama, Hitoshi Mochizuki, Masao Omata

ABSTRACT

BACKGROUND: Patients with metastatic colorectal cancer can benefit from anti-EGFR therapy, such as cetuximab and panitumumab. However, colorectal cancers harboring constitutive activating mutations in KRAS, NRAS and BRAF genes are not responsive to anti-EGFR therapy. To select patients for appropriate treatment, genetic testing of these three genes is routinely performed. METHODS: We applied bridged nucleic acid-clamp real-time PCR (BNA-clamp PCR) to detect somatic hotspot mutations in KRAS, NRAS and BRAF. PCR products from BNA-clamp PCR were subsequently analyzed Sanger sequencing. We then compared results with those from the PCR-reverse sequence-specific oligonucleotide probe (PCR-rSSO) method, which has been used as in vitro diagnostic test in Japan. To validate the mutation status, we also performed next generation sequencing using all samples. RESULTS: In 50 formalin-fixed paraffin-embedded tissues, KRAS mutations were detected at frequencies of 50% (25/50) and 52% (26/50) by PCR-rSSO and BNA-clamp PCR with Sanger sequencing, respectively, and NRAS mutations were detected at 12% (6/50) and 12% (6/50) by PCR-rSSO and BNA-clamp PCR with Sanger sequencing, respectively. The concordance rate for detection of KRAS and NRAS mutations between the two was 94% (47/50). However, there were three discordant results. We validated these three discordant and 47 concordant results by next generation sequencing. All mutations identified by BNA-clamp PCR with Sanger sequencing were also identified by next generation sequencing. BNA-clamp PCR detected BRAF mutations in 6% (3/50) of tumor samples. CONCLUSIONS: Our results indicate that BNA-clamp PCR with Sanger sequencing detects somatic mutations in KRAS, NRAS and BRAF with high accuracy. More... »

PAGES

162

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12920-019-0610-8

DOI

http://dx.doi.org/10.1186/s12920-019-0610-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1122493729

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31711486


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": "Colorectal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "GTP Phosphohydrolases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "High-Throughput Nucleotide Sequencing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Membrane Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Metastasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proto-Oncogene Proteins B-raf", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proto-Oncogene Proteins p21(ras)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Real-Time Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagakubo", 
        "givenName": "Yuki", 
        "id": "sg:person.013040012305.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013040012305.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Genome Analysis Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
            "Genome Analysis Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi 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": "Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi 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": "Department of Pathology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Pathology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi 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": "Department of Gastroenterology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
          "id": "http://www.grid.ac/institutes/grid.417333.1", 
          "name": [
            "Genome Analysis Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
            "Department of Gastroenterology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi 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": "The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Gastroenterology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan", 
            "The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 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/s12032-016-0857-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005513585", 
          "https://doi.org/10.1007/s12032-016-0857-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-017-3059-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053913316", 
          "https://doi.org/10.1186/s12885-017-3059-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010619765", 
          "https://doi.org/10.1038/nature11252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00535-019-01547-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111577150", 
          "https://doi.org/10.1007/s00535-019-01547-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12864-016-3166-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039726049", 
          "https://doi.org/10.1186/s12864-016-3166-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-11-11", 
    "datePublishedReg": "2019-11-11", 
    "description": "BACKGROUND: Patients with metastatic colorectal cancer can benefit from anti-EGFR therapy, such as cetuximab and panitumumab. However, colorectal cancers harboring constitutive activating mutations in KRAS, NRAS and BRAF genes are not responsive to anti-EGFR therapy. To select patients for appropriate treatment, genetic testing of these three genes is routinely performed.\nMETHODS: We applied bridged nucleic acid-clamp real-time PCR (BNA-clamp PCR) to detect somatic hotspot mutations in KRAS, NRAS and BRAF. PCR products from BNA-clamp PCR were subsequently analyzed Sanger sequencing. We then compared results with those from the PCR-reverse sequence-specific oligonucleotide probe (PCR-rSSO) method, which has been used as in vitro diagnostic test in Japan. To validate the mutation status, we also performed next generation sequencing using all samples.\nRESULTS: In 50 formalin-fixed paraffin-embedded tissues, KRAS mutations were detected at frequencies of 50% (25/50) and 52% (26/50) by PCR-rSSO and BNA-clamp PCR with Sanger sequencing, respectively, and NRAS mutations were detected at 12% (6/50) and 12% (6/50) by PCR-rSSO and BNA-clamp PCR with Sanger sequencing, respectively. The concordance rate for detection of KRAS and NRAS mutations between the two was 94% (47/50). However, there were three discordant results. We validated these three discordant and 47 concordant\u00a0results by next generation sequencing. All mutations identified by BNA-clamp PCR with Sanger sequencing were also identified by next generation sequencing. BNA-clamp PCR detected BRAF mutations in 6% (3/50) of tumor samples.\nCONCLUSIONS: Our results indicate that BNA-clamp PCR with Sanger sequencing detects somatic mutations in KRAS, NRAS and BRAF with high accuracy.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12920-019-0610-8", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7543122", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1039191", 
        "issn": [
          "1755-8794"
        ], 
        "name": "BMC Medical Genomics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "keywords": [
      "metastatic colorectal cancer", 
      "colorectal cancer", 
      "EGFR therapy", 
      "real-time PCR", 
      "NRAS mutations", 
      "BRAF mutations", 
      "Sanger sequencing", 
      "next-generation sequencing", 
      "sequence-specific oligonucleotide probe method", 
      "detection of KRAS", 
      "somatic hotspot mutations", 
      "formalin-fixed paraffin-embedded tissues", 
      "paraffin-embedded tissues", 
      "generation sequencing", 
      "KRAS mutations", 
      "appropriate treatment", 
      "mutation status", 
      "KRAS", 
      "concordance rate", 
      "genetic testing", 
      "BRAF gene", 
      "tumor samples", 
      "discordant results", 
      "diagnostic tests", 
      "hotspot mutations", 
      "NRAS", 
      "cancer", 
      "patients", 
      "therapy", 
      "somatic mutations", 
      "BRAF", 
      "PCR", 
      "mutations", 
      "panitumumab", 
      "cetuximab", 
      "sequencing", 
      "PCR products", 
      "treatment", 
      "tissue", 
      "genes", 
      "status", 
      "accurate detection", 
      "samples", 
      "testing", 
      "results", 
      "detection", 
      "rate", 
      "test", 
      "frequency", 
      "Japan", 
      "method", 
      "products", 
      "accuracy", 
      "high accuracy", 
      "probe method", 
      "nucleic acid-clamp real-time PCR", 
      "acid-clamp real-time PCR", 
      "BNA-clamp PCR", 
      "PCR-reverse sequence-specific oligonucleotide probe (PCR-rSSO) method", 
      "oligonucleotide probe (PCR-rSSO) method", 
      "PCR-rSSO", 
      "Sanger sequencing detects somatic mutations", 
      "sequencing detects somatic mutations", 
      "detects somatic mutations"
    ], 
    "name": "Accurate detection of KRAS, NRAS and BRAF mutations in metastatic colorectal cancers by bridged nucleic acid-clamp real-time PCR", 
    "pagination": "162", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1122493729"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12920-019-0610-8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "31711486"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12920-019-0610-8", 
      "https://app.dimensions.ai/details/publication/pub.1122493729"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:52", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_820.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12920-019-0610-8"
  }
]
 

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/s12920-019-0610-8'

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/s12920-019-0610-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12920-019-0610-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12920-019-0610-8'


 

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

242 TRIPLES      22 PREDICATES      107 URIs      94 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12920-019-0610-8 schema:about N047e6e732d534917bc41b64d7d7ac79b
2 N075d71f3dc0243b2b661eae0bb3717f3
3 N250c646005cb44c9925a50fa543dad21
4 N589df109d4ca4c64adf90da6911940f0
5 N6202cd147152476697c23af25555feae
6 N750c628de85f4e9b982a4b57e25b405f
7 N7abdc6631ea048b092a6c8f1daf24408
8 N7dc8487b5de04da9a268f4edf05a7701
9 Nb137ddc0f1ba40f8bb8929c0e0dd5050
10 Nbc0a1a75b42346a08d6d929185143a9d
11 Nc09405932c134b0db33b0716c0367b48
12 Nca4353c6ad9747169ce2e15688e4f2ab
13 anzsrc-for:11
14 anzsrc-for:1112
15 schema:author N4f5c38c49bff4e3aa17268f703a09ff8
16 schema:citation sg:pub.10.1007/s00535-019-01547-z
17 sg:pub.10.1007/s12032-016-0857-2
18 sg:pub.10.1038/nature11252
19 sg:pub.10.1186/s12864-016-3166-4
20 sg:pub.10.1186/s12885-017-3059-1
21 schema:datePublished 2019-11-11
22 schema:datePublishedReg 2019-11-11
23 schema:description BACKGROUND: Patients with metastatic colorectal cancer can benefit from anti-EGFR therapy, such as cetuximab and panitumumab. However, colorectal cancers harboring constitutive activating mutations in KRAS, NRAS and BRAF genes are not responsive to anti-EGFR therapy. To select patients for appropriate treatment, genetic testing of these three genes is routinely performed. METHODS: We applied bridged nucleic acid-clamp real-time PCR (BNA-clamp PCR) to detect somatic hotspot mutations in KRAS, NRAS and BRAF. PCR products from BNA-clamp PCR were subsequently analyzed Sanger sequencing. We then compared results with those from the PCR-reverse sequence-specific oligonucleotide probe (PCR-rSSO) method, which has been used as in vitro diagnostic test in Japan. To validate the mutation status, we also performed next generation sequencing using all samples. RESULTS: In 50 formalin-fixed paraffin-embedded tissues, KRAS mutations were detected at frequencies of 50% (25/50) and 52% (26/50) by PCR-rSSO and BNA-clamp PCR with Sanger sequencing, respectively, and NRAS mutations were detected at 12% (6/50) and 12% (6/50) by PCR-rSSO and BNA-clamp PCR with Sanger sequencing, respectively. The concordance rate for detection of KRAS and NRAS mutations between the two was 94% (47/50). However, there were three discordant results. We validated these three discordant and 47 concordant results by next generation sequencing. All mutations identified by BNA-clamp PCR with Sanger sequencing were also identified by next generation sequencing. BNA-clamp PCR detected BRAF mutations in 6% (3/50) of tumor samples. CONCLUSIONS: Our results indicate that BNA-clamp PCR with Sanger sequencing detects somatic mutations in KRAS, NRAS and BRAF with high accuracy.
24 schema:genre article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf N30d788e284454f16bc7fbda0cf4c42cf
28 N78a98e57683b43d4972a10710a4e63f4
29 sg:journal.1039191
30 schema:keywords BNA-clamp PCR
31 BRAF
32 BRAF gene
33 BRAF mutations
34 EGFR therapy
35 Japan
36 KRAS
37 KRAS mutations
38 NRAS
39 NRAS mutations
40 PCR
41 PCR products
42 PCR-rSSO
43 PCR-reverse sequence-specific oligonucleotide probe (PCR-rSSO) method
44 Sanger sequencing
45 Sanger sequencing detects somatic mutations
46 accuracy
47 accurate detection
48 acid-clamp real-time PCR
49 appropriate treatment
50 cancer
51 cetuximab
52 colorectal cancer
53 concordance rate
54 detection
55 detection of KRAS
56 detects somatic mutations
57 diagnostic tests
58 discordant results
59 formalin-fixed paraffin-embedded tissues
60 frequency
61 generation sequencing
62 genes
63 genetic testing
64 high accuracy
65 hotspot mutations
66 metastatic colorectal cancer
67 method
68 mutation status
69 mutations
70 next-generation sequencing
71 nucleic acid-clamp real-time PCR
72 oligonucleotide probe (PCR-rSSO) method
73 panitumumab
74 paraffin-embedded tissues
75 patients
76 probe method
77 products
78 rate
79 real-time PCR
80 results
81 samples
82 sequence-specific oligonucleotide probe method
83 sequencing
84 sequencing detects somatic mutations
85 somatic hotspot mutations
86 somatic mutations
87 status
88 test
89 testing
90 therapy
91 tissue
92 treatment
93 tumor samples
94 schema:name Accurate detection of KRAS, NRAS and BRAF mutations in metastatic colorectal cancers by bridged nucleic acid-clamp real-time PCR
95 schema:pagination 162
96 schema:productId N046aedd2e94846a4b22f72c46664d92e
97 N610520bddfaa412cbcc554e12f892149
98 N8d6a42fa698f4918bdb2c169cb5f1b24
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122493729
100 https://doi.org/10.1186/s12920-019-0610-8
101 schema:sdDatePublished 2022-01-01T18:52
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher Ncf0db6382d85448e8ee11e5d92ce21b9
104 schema:url https://doi.org/10.1186/s12920-019-0610-8
105 sgo:license sg:explorer/license/
106 sgo:sdDataset articles
107 rdf:type schema:ScholarlyArticle
108 N046aedd2e94846a4b22f72c46664d92e schema:name pubmed_id
109 schema:value 31711486
110 rdf:type schema:PropertyValue
111 N047e6e732d534917bc41b64d7d7ac79b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Proto-Oncogene Proteins B-raf
113 rdf:type schema:DefinedTerm
114 N075d71f3dc0243b2b661eae0bb3717f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name High-Throughput Nucleotide Sequencing
116 rdf:type schema:DefinedTerm
117 N21c02a390c0e4bbcb14c66d83fb4711d rdf:first sg:person.01335140136.50
118 rdf:rest Na4d34170cbf446a38ccfe10bc44ce69e
119 N24a37a625ff94c2cac4bf35a93ab3e10 rdf:first sg:person.01104463136.69
120 rdf:rest N67275a1a9c204346bb013a9aa0dddeb8
121 N250c646005cb44c9925a50fa543dad21 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Colorectal Neoplasms
123 rdf:type schema:DefinedTerm
124 N30d788e284454f16bc7fbda0cf4c42cf schema:issueNumber 1
125 rdf:type schema:PublicationIssue
126 N4f5c38c49bff4e3aa17268f703a09ff8 rdf:first sg:person.013040012305.87
127 rdf:rest N24a37a625ff94c2cac4bf35a93ab3e10
128 N589df109d4ca4c64adf90da6911940f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Real-Time Polymerase Chain Reaction
130 rdf:type schema:DefinedTerm
131 N610520bddfaa412cbcc554e12f892149 schema:name dimensions_id
132 schema:value pub.1122493729
133 rdf:type schema:PropertyValue
134 N6202cd147152476697c23af25555feae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name DNA
136 rdf:type schema:DefinedTerm
137 N67275a1a9c204346bb013a9aa0dddeb8 rdf:first sg:person.01271466715.07
138 rdf:rest Ne0e3cf4531874de8bb6b9df1f16ffec1
139 N750c628de85f4e9b982a4b57e25b405f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Humans
141 rdf:type schema:DefinedTerm
142 N78a98e57683b43d4972a10710a4e63f4 schema:volumeNumber 12
143 rdf:type schema:PublicationVolume
144 N7abdc6631ea048b092a6c8f1daf24408 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Mutation
146 rdf:type schema:DefinedTerm
147 N7dc8487b5de04da9a268f4edf05a7701 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name GTP Phosphohydrolases
149 rdf:type schema:DefinedTerm
150 N8d6a42fa698f4918bdb2c169cb5f1b24 schema:name doi
151 schema:value 10.1186/s12920-019-0610-8
152 rdf:type schema:PropertyValue
153 Na4d34170cbf446a38ccfe10bc44ce69e rdf:first sg:person.0775700471.08
154 rdf:rest rdf:nil
155 Nb137ddc0f1ba40f8bb8929c0e0dd5050 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Neoplasm Metastasis
157 rdf:type schema:DefinedTerm
158 Nbc0a1a75b42346a08d6d929185143a9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Sequence Analysis, DNA
160 rdf:type schema:DefinedTerm
161 Nc09405932c134b0db33b0716c0367b48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Membrane Proteins
163 rdf:type schema:DefinedTerm
164 Nca4353c6ad9747169ce2e15688e4f2ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Proto-Oncogene Proteins p21(ras)
166 rdf:type schema:DefinedTerm
167 Ncf0db6382d85448e8ee11e5d92ce21b9 schema:name Springer Nature - SN SciGraph project
168 rdf:type schema:Organization
169 Ne0e3cf4531874de8bb6b9df1f16ffec1 rdf:first sg:person.011405362052.18
170 rdf:rest N21c02a390c0e4bbcb14c66d83fb4711d
171 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
172 schema:name Medical and Health Sciences
173 rdf:type schema:DefinedTerm
174 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
175 schema:name Oncology and Carcinogenesis
176 rdf:type schema:DefinedTerm
177 sg:grant.7543122 http://pending.schema.org/fundedItem sg:pub.10.1186/s12920-019-0610-8
178 rdf:type schema:MonetaryGrant
179 sg:journal.1039191 schema:issn 1755-8794
180 schema:name BMC Medical Genomics
181 schema:publisher Springer Nature
182 rdf:type schema:Periodical
183 sg:person.01104463136.69 schema:affiliation grid-institutes:None
184 schema:familyName Hirotsu
185 schema:givenName Yosuke
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104463136.69
187 rdf:type schema:Person
188 sg:person.011405362052.18 schema:affiliation grid-institutes:None
189 schema:familyName Oyama
190 schema:givenName Toshio
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011405362052.18
192 rdf:type schema:Person
193 sg:person.01271466715.07 schema:affiliation grid-institutes:None
194 schema:familyName Amemiya
195 schema:givenName Kenji
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271466715.07
197 rdf:type schema:Person
198 sg:person.013040012305.87 schema:affiliation grid-institutes:None
199 schema:familyName Nagakubo
200 schema:givenName Yuki
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013040012305.87
202 rdf:type schema:Person
203 sg:person.01335140136.50 schema:affiliation grid-institutes:grid.417333.1
204 schema:familyName Mochizuki
205 schema:givenName Hitoshi
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335140136.50
207 rdf:type schema:Person
208 sg:person.0775700471.08 schema:affiliation grid-institutes:grid.26999.3d
209 schema:familyName Omata
210 schema:givenName Masao
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775700471.08
212 rdf:type schema:Person
213 sg:pub.10.1007/s00535-019-01547-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1111577150
214 https://doi.org/10.1007/s00535-019-01547-z
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s12032-016-0857-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005513585
217 https://doi.org/10.1007/s12032-016-0857-2
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/nature11252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010619765
220 https://doi.org/10.1038/nature11252
221 rdf:type schema:CreativeWork
222 sg:pub.10.1186/s12864-016-3166-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039726049
223 https://doi.org/10.1186/s12864-016-3166-4
224 rdf:type schema:CreativeWork
225 sg:pub.10.1186/s12885-017-3059-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053913316
226 https://doi.org/10.1186/s12885-017-3059-1
227 rdf:type schema:CreativeWork
228 grid-institutes:None schema:alternateName Department of Pathology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
229 Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
230 Genome Analysis Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
231 schema:name Department of Pathology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
232 Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
233 Genome Analysis Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
234 rdf:type schema:Organization
235 grid-institutes:grid.26999.3d schema:alternateName The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
236 schema:name Department of Gastroenterology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
237 The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
238 rdf:type schema:Organization
239 grid-institutes:grid.417333.1 schema:alternateName Department of Gastroenterology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
240 schema:name Department of Gastroenterology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
241 Genome Analysis Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi Japan
242 rdf:type schema:Organization
 




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


...