Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02-10

AUTHORS

Rossitza Lazova, Natapol Pornputtapong, Ruth Halaban, Marcus Bosenberg, Yalai Bai, Hao Chai, Michael Krauthammer

ABSTRACT

We performed exome sequencing of 77 melanocytic specimens composed of Spitz nevi (n=29), Spitzoid melanomas (n=27), and benign melanocytic nevi (n=21), and compared the results with published melanoma sequencing data. Our study highlights the prominent similarity between Spitzoid and conventional melanomas with similar copy number changes and high and equal numbers of ultraviolet-induced coding mutations affecting similar driver genes. Mutations in MEN1, PRKAR1A, and DNMT3A in Spitzoid melanomas may indicate involvement of the protein kinase A pathway, or a role of DNA methylation in the disease. Other than activating HRAS variants, there were few additional mutations in Spitz nevi, and few copy number changes other than 11p amplification and chromosome 9 deletions. Similarly, there were no large-scale copy number alterations and few somatic alterations other than activating BRAF or NRAS mutations in conventional nevi. A presumed melanoma driver mutation (IDH1Arg132Cys) was revealed in one of the benign nevi. In conclusion, our exome data show significantly lower somatic mutation burden in both Spitz and conventional nevi compared with their malignant counterparts, and high genetic similarity between Spitzoid and conventional melanoma. More... »

PAGES

640-649

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/modpathol.2016.237

DOI

http://dx.doi.org/10.1038/modpathol.2016.237

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083739292

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28186096


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Mutational Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Exome", 
        "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": "Infant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Melanoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nevus, Epithelioid and Spindle Cell", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nevus, Pigmented", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Skin Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA", 
            "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lazova", 
        "givenName": "Rossitza", 
        "id": "sg:person.0673564426.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673564426.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pornputtapong", 
        "givenName": "Natapol", 
        "id": "sg:person.0615340451.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615340451.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Halaban", 
        "givenName": "Ruth", 
        "id": "sg:person.053601122.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.053601122.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA", 
            "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bosenberg", 
        "givenName": "Marcus", 
        "id": "sg:person.0661634627.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661634627.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bai", 
        "givenName": "Yalai", 
        "id": "sg:person.01117274053.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117274053.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Public Health, Yale University School of Medicine, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "School of Public Health, Yale University School of Medicine, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chai", 
        "givenName": "Hao", 
        "id": "sg:person.013072517347.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013072517347.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Pathology, Yale University School of Medicine, New Haven, CT, USA", 
            "Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krauthammer", 
        "givenName": "Michael", 
        "id": "sg:person.01336516000.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336516000.48"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/ng.1041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040372576", 
          "https://doi.org/10.1038/ng.1041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms4116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010644766", 
          "https://doi.org/10.1038/ncomms4116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-13-505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013574197", 
          "https://doi.org/10.1186/1471-2164-13-505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrendo.2014.181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006353796", 
          "https://doi.org/10.1038/nrendo.2014.181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040467727", 
          "https://doi.org/10.1038/ng.3361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/gim.2013.36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020465943", 
          "https://doi.org/10.1038/gim.2013.36"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2674", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034318026", 
          "https://doi.org/10.1038/ng.2674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.810", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032031050", 
          "https://doi.org/10.1038/ng.810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1010933404324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024739340", 
          "https://doi.org/10.1023/a:1010933404324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021618497", 
          "https://doi.org/10.1038/ng.2359"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-02-10", 
    "datePublishedReg": "2017-02-10", 
    "description": "We performed exome sequencing of 77 melanocytic specimens composed of Spitz nevi (n=29), Spitzoid melanomas (n=27), and benign melanocytic nevi (n=21), and compared the results with published melanoma sequencing data. Our study highlights the prominent similarity between Spitzoid and conventional melanomas with similar copy number changes and high and equal numbers of ultraviolet-induced coding mutations affecting similar driver genes. Mutations in MEN1, PRKAR1A, and DNMT3A in Spitzoid melanomas may indicate involvement of the protein kinase A pathway, or a role of DNA methylation in the disease. Other than activating HRAS variants, there were few additional mutations in Spitz nevi, and few copy number changes other than 11p amplification and chromosome 9 deletions. Similarly, there were no large-scale copy number alterations and few somatic alterations other than activating BRAF or NRAS mutations in conventional nevi. A presumed melanoma driver mutation (IDH1Arg132Cys) was revealed in one of the benign nevi. In conclusion, our exome data show significantly lower somatic mutation burden in both Spitz and conventional nevi compared with their malignant counterparts, and high genetic similarity between Spitzoid and conventional melanoma.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/modpathol.2016.237", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2440220", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1098208", 
        "issn": [
          "0893-3952", 
          "1530-0285"
        ], 
        "name": "Modern Pathology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "keywords": [
      "copy number changes", 
      "number changes", 
      "high genetic similarity", 
      "exome sequencing", 
      "copy number alterations", 
      "DNA methylation", 
      "protein kinase", 
      "genetic similarity", 
      "sequencing data", 
      "somatic mutation burden", 
      "driver genes", 
      "coding mutations", 
      "number alterations", 
      "somatic alterations", 
      "additional mutations", 
      "mutations", 
      "exome data", 
      "prominent similarities", 
      "driver mutations", 
      "sequencing", 
      "melanoma driver mutations", 
      "benign melanocytic nevi", 
      "benign nevi", 
      "kinase", 
      "genes", 
      "methylation", 
      "mutation burden", 
      "DNMT3A", 
      "PRKAR1A", 
      "similarity", 
      "deletion", 
      "NRAS mutations", 
      "alterations", 
      "pathway", 
      "malignant counterparts", 
      "MEN1", 
      "Spitz", 
      "variants", 
      "amplification", 
      "melanoma", 
      "BRAF", 
      "chromosome 9 deletions", 
      "role", 
      "melanocytic nevi", 
      "changes", 
      "equal number", 
      "conventional nevi", 
      "involvement", 
      "Spitz nevi", 
      "spitzoid melanoma", 
      "nevi", 
      "specimens", 
      "counterparts", 
      "data", 
      "disease", 
      "number", 
      "study", 
      "conventional melanoma", 
      "results", 
      "comparison", 
      "large-scale copy number alterations", 
      "conclusion", 
      "conventional melanocytic nevi", 
      "spitzoid", 
      "burden"
    ], 
    "name": "Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas", 
    "pagination": "640-649", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083739292"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/modpathol.2016.237"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28186096"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/modpathol.2016.237", 
      "https://app.dimensions.ai/details/publication/pub.1083739292"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_730.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/modpathol.2016.237"
  }
]
 

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.10.1038/modpathol.2016.237'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.237'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.237'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.237'


 

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

288 TRIPLES      21 PREDICATES      118 URIs      101 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/modpathol.2016.237 schema:about N067c54bb408a49f99392966f13338ee7
2 N0f53fa87657646ff98517eaa7b76a1a8
3 N10d2fa389d744919a187cf0b315222c1
4 N1175f38d5d04493585e47ae2db174874
5 N137d19cb4605407bba3885d8588a9201
6 N20a4adcf94124712bb12b4f53aca05e1
7 N23ab78391f8a423bb27f0090716a9884
8 N317421e163cd4e5ba0d879a34c5b99ba
9 N496e501a5b194a4589f3fefaf19ad121
10 N657701e204224fa588e5d8c5b162850b
11 N76f8004a800d4d51aded4885186bc457
12 N7f4eb73bf23a4eb7be5baff852ecdb8f
13 N9f6000e3caf54bee86fc2c129b88a4eb
14 Na8eca4c4eb91449b8a41fce3e5bbbfe0
15 Na9ae90bebaaa44bab6f6f7728bca2736
16 Nb55dd74de0a64b3fbdd89020dee7a206
17 Nc14d7885369e4422ad4b74dc52af6a8a
18 Nddfc66ba83f6467dacc646feece971ca
19 Ned597871cb99431b9076b7ddbf4e8804
20 anzsrc-for:11
21 schema:author Nf5ec11a13ca04b65a89389f2a1d0bb9e
22 schema:citation sg:pub.10.1023/a:1010933404324
23 sg:pub.10.1038/gim.2013.36
24 sg:pub.10.1038/ncomms4116
25 sg:pub.10.1038/ng.1041
26 sg:pub.10.1038/ng.2359
27 sg:pub.10.1038/ng.2674
28 sg:pub.10.1038/ng.3361
29 sg:pub.10.1038/ng.810
30 sg:pub.10.1038/nrendo.2014.181
31 sg:pub.10.1186/1471-2164-13-505
32 schema:datePublished 2017-02-10
33 schema:datePublishedReg 2017-02-10
34 schema:description We performed exome sequencing of 77 melanocytic specimens composed of Spitz nevi (n=29), Spitzoid melanomas (n=27), and benign melanocytic nevi (n=21), and compared the results with published melanoma sequencing data. Our study highlights the prominent similarity between Spitzoid and conventional melanomas with similar copy number changes and high and equal numbers of ultraviolet-induced coding mutations affecting similar driver genes. Mutations in MEN1, PRKAR1A, and DNMT3A in Spitzoid melanomas may indicate involvement of the protein kinase A pathway, or a role of DNA methylation in the disease. Other than activating HRAS variants, there were few additional mutations in Spitz nevi, and few copy number changes other than 11p amplification and chromosome 9 deletions. Similarly, there were no large-scale copy number alterations and few somatic alterations other than activating BRAF or NRAS mutations in conventional nevi. A presumed melanoma driver mutation (IDH1Arg132Cys) was revealed in one of the benign nevi. In conclusion, our exome data show significantly lower somatic mutation burden in both Spitz and conventional nevi compared with their malignant counterparts, and high genetic similarity between Spitzoid and conventional melanoma.
35 schema:genre article
36 schema:isAccessibleForFree true
37 schema:isPartOf N5c63f08d95f3457796fe0edae73eb515
38 N858a5904a51643608c8ec43a5f6d4eac
39 sg:journal.1098208
40 schema:keywords BRAF
41 DNA methylation
42 DNMT3A
43 MEN1
44 NRAS mutations
45 PRKAR1A
46 Spitz
47 Spitz nevi
48 additional mutations
49 alterations
50 amplification
51 benign melanocytic nevi
52 benign nevi
53 burden
54 changes
55 chromosome 9 deletions
56 coding mutations
57 comparison
58 conclusion
59 conventional melanocytic nevi
60 conventional melanoma
61 conventional nevi
62 copy number alterations
63 copy number changes
64 counterparts
65 data
66 deletion
67 disease
68 driver genes
69 driver mutations
70 equal number
71 exome data
72 exome sequencing
73 genes
74 genetic similarity
75 high genetic similarity
76 involvement
77 kinase
78 large-scale copy number alterations
79 malignant counterparts
80 melanocytic nevi
81 melanoma
82 melanoma driver mutations
83 methylation
84 mutation burden
85 mutations
86 nevi
87 number
88 number alterations
89 number changes
90 pathway
91 prominent similarities
92 protein kinase
93 results
94 role
95 sequencing
96 sequencing data
97 similarity
98 somatic alterations
99 somatic mutation burden
100 specimens
101 spitzoid
102 spitzoid melanoma
103 study
104 variants
105 schema:name Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas
106 schema:pagination 640-649
107 schema:productId N6426438cb2654b10afec0a141c0fa7ae
108 N6e4ceb8ac8ab4b05b8492ffd9cc71760
109 N92a9b5ab87444ccd9544cb920ed8c796
110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083739292
111 https://doi.org/10.1038/modpathol.2016.237
112 schema:sdDatePublished 2022-09-02T16:00
113 schema:sdLicense https://scigraph.springernature.com/explorer/license/
114 schema:sdPublisher N336809251ba04e1d9f209257a4aaad22
115 schema:url https://doi.org/10.1038/modpathol.2016.237
116 sgo:license sg:explorer/license/
117 sgo:sdDataset articles
118 rdf:type schema:ScholarlyArticle
119 N02b4781aac7647fab2424a919e27c30f rdf:first sg:person.0615340451.11
120 rdf:rest N89b5b3e33d09491fadcfcf4ea335522b
121 N067c54bb408a49f99392966f13338ee7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Child, Preschool
123 rdf:type schema:DefinedTerm
124 N0f53fa87657646ff98517eaa7b76a1a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Male
126 rdf:type schema:DefinedTerm
127 N10d2fa389d744919a187cf0b315222c1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Melanoma
129 rdf:type schema:DefinedTerm
130 N1175f38d5d04493585e47ae2db174874 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Child
132 rdf:type schema:DefinedTerm
133 N137d19cb4605407bba3885d8588a9201 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Adult
135 rdf:type schema:DefinedTerm
136 N20a4adcf94124712bb12b4f53aca05e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Female
138 rdf:type schema:DefinedTerm
139 N23ab78391f8a423bb27f0090716a9884 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Nevus, Pigmented
141 rdf:type schema:DefinedTerm
142 N317421e163cd4e5ba0d879a34c5b99ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Adolescent
144 rdf:type schema:DefinedTerm
145 N336809251ba04e1d9f209257a4aaad22 schema:name Springer Nature - SN SciGraph project
146 rdf:type schema:Organization
147 N496e501a5b194a4589f3fefaf19ad121 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Aged
149 rdf:type schema:DefinedTerm
150 N5c63f08d95f3457796fe0edae73eb515 schema:volumeNumber 30
151 rdf:type schema:PublicationVolume
152 N6426438cb2654b10afec0a141c0fa7ae schema:name doi
153 schema:value 10.1038/modpathol.2016.237
154 rdf:type schema:PropertyValue
155 N657701e204224fa588e5d8c5b162850b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Humans
157 rdf:type schema:DefinedTerm
158 N6e4ceb8ac8ab4b05b8492ffd9cc71760 schema:name dimensions_id
159 schema:value pub.1083739292
160 rdf:type schema:PropertyValue
161 N76f8004a800d4d51aded4885186bc457 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Infant
163 rdf:type schema:DefinedTerm
164 N7894edfd0ab34698b7690653ca98ff83 rdf:first sg:person.013072517347.00
165 rdf:rest Nfe59ce84f0a34bcfb25e37b2dc7635de
166 N7f4eb73bf23a4eb7be5baff852ecdb8f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Middle Aged
168 rdf:type schema:DefinedTerm
169 N858a5904a51643608c8ec43a5f6d4eac schema:issueNumber 5
170 rdf:type schema:PublicationIssue
171 N89b5b3e33d09491fadcfcf4ea335522b rdf:first sg:person.053601122.01
172 rdf:rest Nf23032dfacf74177999009cf62f4a7b5
173 N92a9b5ab87444ccd9544cb920ed8c796 schema:name pubmed_id
174 schema:value 28186096
175 rdf:type schema:PropertyValue
176 N9f6000e3caf54bee86fc2c129b88a4eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Biomarkers, Tumor
178 rdf:type schema:DefinedTerm
179 Na8eca4c4eb91449b8a41fce3e5bbbfe0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Young Adult
181 rdf:type schema:DefinedTerm
182 Na9ae90bebaaa44bab6f6f7728bca2736 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name DNA Mutational Analysis
184 rdf:type schema:DefinedTerm
185 Naef4e9f629364aeabf841b149319b74d rdf:first sg:person.01117274053.25
186 rdf:rest N7894edfd0ab34698b7690653ca98ff83
187 Nb55dd74de0a64b3fbdd89020dee7a206 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Exome
189 rdf:type schema:DefinedTerm
190 Nc14d7885369e4422ad4b74dc52af6a8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Nevus, Epithelioid and Spindle Cell
192 rdf:type schema:DefinedTerm
193 Nddfc66ba83f6467dacc646feece971ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Skin Neoplasms
195 rdf:type schema:DefinedTerm
196 Ned597871cb99431b9076b7ddbf4e8804 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Aged, 80 and over
198 rdf:type schema:DefinedTerm
199 Nf23032dfacf74177999009cf62f4a7b5 rdf:first sg:person.0661634627.36
200 rdf:rest Naef4e9f629364aeabf841b149319b74d
201 Nf5ec11a13ca04b65a89389f2a1d0bb9e rdf:first sg:person.0673564426.71
202 rdf:rest N02b4781aac7647fab2424a919e27c30f
203 Nfe59ce84f0a34bcfb25e37b2dc7635de rdf:first sg:person.01336516000.48
204 rdf:rest rdf:nil
205 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
206 schema:name Medical and Health Sciences
207 rdf:type schema:DefinedTerm
208 sg:grant.2440220 http://pending.schema.org/fundedItem sg:pub.10.1038/modpathol.2016.237
209 rdf:type schema:MonetaryGrant
210 sg:journal.1098208 schema:issn 0893-3952
211 1530-0285
212 schema:name Modern Pathology
213 schema:publisher Springer Nature
214 rdf:type schema:Periodical
215 sg:person.01117274053.25 schema:affiliation grid-institutes:grid.47100.32
216 schema:familyName Bai
217 schema:givenName Yalai
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117274053.25
219 rdf:type schema:Person
220 sg:person.013072517347.00 schema:affiliation grid-institutes:grid.47100.32
221 schema:familyName Chai
222 schema:givenName Hao
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013072517347.00
224 rdf:type schema:Person
225 sg:person.01336516000.48 schema:affiliation grid-institutes:grid.47100.32
226 schema:familyName Krauthammer
227 schema:givenName Michael
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336516000.48
229 rdf:type schema:Person
230 sg:person.053601122.01 schema:affiliation grid-institutes:grid.47100.32
231 schema:familyName Halaban
232 schema:givenName Ruth
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.053601122.01
234 rdf:type schema:Person
235 sg:person.0615340451.11 schema:affiliation grid-institutes:grid.47100.32
236 schema:familyName Pornputtapong
237 schema:givenName Natapol
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615340451.11
239 rdf:type schema:Person
240 sg:person.0661634627.36 schema:affiliation grid-institutes:grid.47100.32
241 schema:familyName Bosenberg
242 schema:givenName Marcus
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661634627.36
244 rdf:type schema:Person
245 sg:person.0673564426.71 schema:affiliation grid-institutes:grid.47100.32
246 schema:familyName Lazova
247 schema:givenName Rossitza
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673564426.71
249 rdf:type schema:Person
250 sg:pub.10.1023/a:1010933404324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024739340
251 https://doi.org/10.1023/a:1010933404324
252 rdf:type schema:CreativeWork
253 sg:pub.10.1038/gim.2013.36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020465943
254 https://doi.org/10.1038/gim.2013.36
255 rdf:type schema:CreativeWork
256 sg:pub.10.1038/ncomms4116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010644766
257 https://doi.org/10.1038/ncomms4116
258 rdf:type schema:CreativeWork
259 sg:pub.10.1038/ng.1041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040372576
260 https://doi.org/10.1038/ng.1041
261 rdf:type schema:CreativeWork
262 sg:pub.10.1038/ng.2359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021618497
263 https://doi.org/10.1038/ng.2359
264 rdf:type schema:CreativeWork
265 sg:pub.10.1038/ng.2674 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034318026
266 https://doi.org/10.1038/ng.2674
267 rdf:type schema:CreativeWork
268 sg:pub.10.1038/ng.3361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040467727
269 https://doi.org/10.1038/ng.3361
270 rdf:type schema:CreativeWork
271 sg:pub.10.1038/ng.810 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032031050
272 https://doi.org/10.1038/ng.810
273 rdf:type schema:CreativeWork
274 sg:pub.10.1038/nrendo.2014.181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006353796
275 https://doi.org/10.1038/nrendo.2014.181
276 rdf:type schema:CreativeWork
277 sg:pub.10.1186/1471-2164-13-505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013574197
278 https://doi.org/10.1186/1471-2164-13-505
279 rdf:type schema:CreativeWork
280 grid-institutes:grid.47100.32 schema:alternateName Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA
281 Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
282 Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, CT, USA
283 School of Public Health, Yale University School of Medicine, New Haven, CT, USA
284 schema:name Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA
285 Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
286 Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, CT, USA
287 School of Public Health, Yale University School of Medicine, New Haven, CT, USA
288 rdf:type schema:Organization
 




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


...