Identification and analysis of single-nucleotide polymorphisms in the gemcitabine pharmacologic pathway View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-09

AUTHORS

A K Fukunaga, S Marsh, D J Murry, T D Hurley, H L McLeod

ABSTRACT

Significant variability in the antitumor efficacy and systemic toxicity of gemcitabine has been observed in cancer patients. However, there are currently no tools for prospective identification of patients at risk for untoward events. This study has identified and validated single-nucleotide polymorphisms (SNP) in genes involved in gemcitabine metabolism and transport. Database mining was conducted to identify SNPs in 14 genes involved in gemcitabine metabolism. Pyrosequencing was utilized to determine the SNP allele frequencies in genomic DNA from European and African populations (n=190). A total of 14 genetic variants (including 12 SNPs) were identified in eight of the gemcitabine metabolic pathway genes. The majority of the database variants were observed in population samples. Nine of the 14 (64%) polymorphisms analyzed have allele frequencies that were found to be significantly different between the European and African populations (P<0.05). This study provides the first step to identify markers for predicting variability in gemcitabine response and toxicity. More... »

PAGES

6500259

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.tpj.6500259

DOI

http://dx.doi.org/10.1038/sj.tpj.6500259

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045138368

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15224082


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antimetabolites, Antineoplastic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chi-Square Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Deoxycytidine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Frequency", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Purdue University", 
          "id": "https://www.grid.ac/institutes/grid.169077.e", 
          "name": [
            "Department of Clinical Pharmacy and Pharmacy Practice, Purdue University, W. Lafayette, IN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukunaga", 
        "givenName": "A K", 
        "id": "sg:person.01312017264.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312017264.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Washington University in St. Louis", 
          "id": "https://www.grid.ac/institutes/grid.4367.6", 
          "name": [
            "Departments of Medicine, Genetics, and Molecular Biology and Pharmacology, Washington University School of Medicine and the Siteman Cancer Center, St Louis, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marsh", 
        "givenName": "S", 
        "id": "sg:person.01231016344.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231016344.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Purdue University", 
          "id": "https://www.grid.ac/institutes/grid.169077.e", 
          "name": [
            "Department of Clinical Pharmacy and Pharmacy Practice, Purdue University, W. Lafayette, IN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murry", 
        "givenName": "D J", 
        "id": "sg:person.0731241672.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731241672.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indiana University \u2013 Purdue University Indianapolis", 
          "id": "https://www.grid.ac/institutes/grid.257413.6", 
          "name": [
            "Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hurley", 
        "givenName": "T D", 
        "id": "sg:person.0576740043.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576740043.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Washington University in St. Louis", 
          "id": "https://www.grid.ac/institutes/grid.4367.6", 
          "name": [
            "Departments of Medicine, Genetics, and Molecular Biology and Pharmacology, Washington University School of Medicine and the Siteman Cancer Center, St Louis, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McLeod", 
        "givenName": "H L", 
        "id": "sg:person.0621173744.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621173744.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0959-8049(98)00230-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004349332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3816/ccc.2001.n.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009226948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmra020526", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009321362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-1809.1995.tb01608.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014484093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000048240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015135125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/8.2.367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017479608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.162.17.1985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019640029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(20000601)88:11<2505::aid-cncr11>3.0.co;2-e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020435206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/91.21.1876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021397642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-2952(01)00627-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025044316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0215(19990924)83:1<18::aid-ijc5>3.0.co;2-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026356547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0076-6879(96)66034-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027814431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.pharmtox.41.1.101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032396630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.163.1.49", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035418898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/humu.10115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037485691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(90)90154-e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039629174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1098-1004(200012)16:6<528::aid-humu11>3.0.co;2-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039683867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/95.5.362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042535498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-2952(93)90444-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043896140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-2952(93)90444-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043896140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-8049(00)00246-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044632468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.1150181505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049714182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.1150181505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049714182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa011954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052159806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jm00110a019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055935474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/342666", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058639472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-199806000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-199806000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-199806000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200301000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200301000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200301000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060289994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008571-200305000-00010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060290033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.fpc.0000054083.64000.2a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060290033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.fpc.0000054083.64000.2a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060290033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2002.11.149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064203191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074520995", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074730787", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074745541", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077340785", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077376786", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078725148", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079715430", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082379290", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082379293", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082487926", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082537301", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082618932", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082979579", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082989737", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082989738", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082989755", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083233144", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083327366", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-09", 
    "datePublishedReg": "2004-09-01", 
    "description": "Significant variability in the antitumor efficacy and systemic toxicity of gemcitabine has been observed in cancer patients. However, there are currently no tools for prospective identification of patients at risk for untoward events. This study has identified and validated single-nucleotide polymorphisms (SNP) in genes involved in gemcitabine metabolism and transport. Database mining was conducted to identify SNPs in 14 genes involved in gemcitabine metabolism. Pyrosequencing was utilized to determine the SNP allele frequencies in genomic DNA from European and African populations (n=190). A total of 14 genetic variants (including 12 SNPs) were identified in eight of the gemcitabine metabolic pathway genes. The majority of the database variants were observed in population samples. Nine of the 14 (64%) polymorphisms analyzed have allele frequencies that were found to be significantly different between the European and African populations (P<0.05). This study provides the first step to identify markers for predicting variability in gemcitabine response and toxicity.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sj.tpj.6500259", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2690870", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438873", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1027238", 
        "issn": [
          "1470-269X", 
          "1473-1150"
        ], 
        "name": "The Pharmacogenomics Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Identification and analysis of single-nucleotide polymorphisms in the gemcitabine pharmacologic pathway", 
    "pagination": "6500259", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d70266a590e79382ed782486c9b2be0482d0aad67b2458b42967666436eb6edd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "15224082"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101083949"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.tpj.6500259"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045138368"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.tpj.6500259", 
      "https://app.dimensions.ai/details/publication/pub.1045138368"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:15", 
    "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/v90/0000000361_0000000361/records_54014_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/6500259"
  }
]
 

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/sj.tpj.6500259'

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/sj.tpj.6500259'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.tpj.6500259'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.tpj.6500259'


 

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

262 TRIPLES      21 PREDICATES      84 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.tpj.6500259 schema:about N1bdcf42764bf46de8dc902259465a99a
2 N336f91f45f654f3c8e593b968c0f1064
3 N3e06a309fc554ca89e0b7d29d37d53c2
4 N7af04a31ac264c3b9860eb7a1da23c03
5 N986258eee0c747959e4128729d7814b7
6 Ne29fe6a82d3d47e1a2ff0d8ec4ba349a
7 Ne79f6a8bf9f94524845187caf2dcb3ac
8 Nf53c782b74124a96b5e4030b954be1e1
9 anzsrc-for:06
10 anzsrc-for:0604
11 schema:author Ncb962ac5878442e2bde88b37d2b10d24
12 schema:citation https://app.dimensions.ai/details/publication/pub.1074520995
13 https://app.dimensions.ai/details/publication/pub.1074730787
14 https://app.dimensions.ai/details/publication/pub.1074745541
15 https://app.dimensions.ai/details/publication/pub.1077340785
16 https://app.dimensions.ai/details/publication/pub.1077376786
17 https://app.dimensions.ai/details/publication/pub.1078725148
18 https://app.dimensions.ai/details/publication/pub.1079715430
19 https://app.dimensions.ai/details/publication/pub.1082379290
20 https://app.dimensions.ai/details/publication/pub.1082379293
21 https://app.dimensions.ai/details/publication/pub.1082487926
22 https://app.dimensions.ai/details/publication/pub.1082537301
23 https://app.dimensions.ai/details/publication/pub.1082618932
24 https://app.dimensions.ai/details/publication/pub.1082979579
25 https://app.dimensions.ai/details/publication/pub.1082989737
26 https://app.dimensions.ai/details/publication/pub.1082989738
27 https://app.dimensions.ai/details/publication/pub.1082989755
28 https://app.dimensions.ai/details/publication/pub.1083233144
29 https://app.dimensions.ai/details/publication/pub.1083327366
30 https://doi.org/10.1001/archinte.162.17.1985
31 https://doi.org/10.1001/archinte.163.1.49
32 https://doi.org/10.1002/(sici)1097-0215(19990924)83:1<18::aid-ijc5>3.0.co;2-m
33 https://doi.org/10.1002/1097-0142(20000601)88:11<2505::aid-cncr11>3.0.co;2-e
34 https://doi.org/10.1002/1098-1004(200012)16:6<528::aid-humu11>3.0.co;2-w
35 https://doi.org/10.1002/elps.1150181505
36 https://doi.org/10.1002/humu.10115
37 https://doi.org/10.1016/0006-2952(93)90444-2
38 https://doi.org/10.1016/0022-2836(90)90154-e
39 https://doi.org/10.1016/s0006-2952(01)00627-x
40 https://doi.org/10.1016/s0076-6879(96)66034-0
41 https://doi.org/10.1016/s0959-8049(00)00246-x
42 https://doi.org/10.1016/s0959-8049(98)00230-5
43 https://doi.org/10.1021/jm00110a019
44 https://doi.org/10.1056/nejmoa011954
45 https://doi.org/10.1056/nejmra020526
46 https://doi.org/10.1086/342666
47 https://doi.org/10.1093/hmg/8.2.367
48 https://doi.org/10.1093/jnci/91.21.1876
49 https://doi.org/10.1093/jnci/95.5.362
50 https://doi.org/10.1097/00008571-199806000-00002
51 https://doi.org/10.1097/00008571-200301000-00005
52 https://doi.org/10.1097/00008571-200305000-00010
53 https://doi.org/10.1097/01.fpc.0000054083.64000.2a
54 https://doi.org/10.1111/j.1469-1809.1995.tb01608.x
55 https://doi.org/10.1146/annurev.pharmtox.41.1.101
56 https://doi.org/10.1159/000048240
57 https://doi.org/10.1200/jco.2002.11.149
58 https://doi.org/10.3816/ccc.2001.n.018
59 schema:datePublished 2004-09
60 schema:datePublishedReg 2004-09-01
61 schema:description Significant variability in the antitumor efficacy and systemic toxicity of gemcitabine has been observed in cancer patients. However, there are currently no tools for prospective identification of patients at risk for untoward events. This study has identified and validated single-nucleotide polymorphisms (SNP) in genes involved in gemcitabine metabolism and transport. Database mining was conducted to identify SNPs in 14 genes involved in gemcitabine metabolism. Pyrosequencing was utilized to determine the SNP allele frequencies in genomic DNA from European and African populations (n=190). A total of 14 genetic variants (including 12 SNPs) were identified in eight of the gemcitabine metabolic pathway genes. The majority of the database variants were observed in population samples. Nine of the 14 (64%) polymorphisms analyzed have allele frequencies that were found to be significantly different between the European and African populations (P<0.05). This study provides the first step to identify markers for predicting variability in gemcitabine response and toxicity.
62 schema:genre research_article
63 schema:inLanguage en
64 schema:isAccessibleForFree true
65 schema:isPartOf N1cf419e8a77e4dca91c471693f3eab27
66 N6f34a9cff2174722b795b7506fa0eed2
67 sg:journal.1027238
68 schema:name Identification and analysis of single-nucleotide polymorphisms in the gemcitabine pharmacologic pathway
69 schema:pagination 6500259
70 schema:productId N243c630e606a4964b3f5191126eb9b8b
71 N58f8dfdeb2034968b92f5671202c171b
72 N76aaf83b7f5d4c4b875987076e18b7c7
73 N7c52081a0cba45f184bcba831a72341c
74 N8ec1d914e225430c9ff9659acd8f3fb7
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045138368
76 https://doi.org/10.1038/sj.tpj.6500259
77 schema:sdDatePublished 2019-04-11T12:15
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher N7d0984abe5004680980f5313908b7f69
80 schema:url http://www.nature.com/articles/6500259
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N1bdcf42764bf46de8dc902259465a99a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Antimetabolites, Antineoplastic
86 rdf:type schema:DefinedTerm
87 N1cf419e8a77e4dca91c471693f3eab27 schema:volumeNumber 4
88 rdf:type schema:PublicationVolume
89 N243c630e606a4964b3f5191126eb9b8b schema:name nlm_unique_id
90 schema:value 101083949
91 rdf:type schema:PropertyValue
92 N2e06bddc2daa45aa8192dece1a954f53 rdf:first sg:person.0576740043.94
93 rdf:rest N9baf2acc1b4649a0abb64d4b1cdda2ee
94 N336f91f45f654f3c8e593b968c0f1064 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Gene Frequency
96 rdf:type schema:DefinedTerm
97 N3e06a309fc554ca89e0b7d29d37d53c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Polymorphism, Single Nucleotide
99 rdf:type schema:DefinedTerm
100 N58f8dfdeb2034968b92f5671202c171b schema:name dimensions_id
101 schema:value pub.1045138368
102 rdf:type schema:PropertyValue
103 N6f34a9cff2174722b795b7506fa0eed2 schema:issueNumber 5
104 rdf:type schema:PublicationIssue
105 N76aaf83b7f5d4c4b875987076e18b7c7 schema:name doi
106 schema:value 10.1038/sj.tpj.6500259
107 rdf:type schema:PropertyValue
108 N7af04a31ac264c3b9860eb7a1da23c03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Databases, Genetic
110 rdf:type schema:DefinedTerm
111 N7c52081a0cba45f184bcba831a72341c schema:name pubmed_id
112 schema:value 15224082
113 rdf:type schema:PropertyValue
114 N7d0984abe5004680980f5313908b7f69 schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 N8ec1d914e225430c9ff9659acd8f3fb7 schema:name readcube_id
117 schema:value d70266a590e79382ed782486c9b2be0482d0aad67b2458b42967666436eb6edd
118 rdf:type schema:PropertyValue
119 N986258eee0c747959e4128729d7814b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Genetic Variation
121 rdf:type schema:DefinedTerm
122 N9baf2acc1b4649a0abb64d4b1cdda2ee rdf:first sg:person.0621173744.43
123 rdf:rest rdf:nil
124 Nc45577ea0f0d4d29bdd9e583560db6da rdf:first sg:person.01231016344.35
125 rdf:rest Nd711e5d0d6444923b5d61ad93290d366
126 Ncb962ac5878442e2bde88b37d2b10d24 rdf:first sg:person.01312017264.19
127 rdf:rest Nc45577ea0f0d4d29bdd9e583560db6da
128 Nd711e5d0d6444923b5d61ad93290d366 rdf:first sg:person.0731241672.49
129 rdf:rest N2e06bddc2daa45aa8192dece1a954f53
130 Ne29fe6a82d3d47e1a2ff0d8ec4ba349a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Chi-Square Distribution
132 rdf:type schema:DefinedTerm
133 Ne79f6a8bf9f94524845187caf2dcb3ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Humans
135 rdf:type schema:DefinedTerm
136 Nf53c782b74124a96b5e4030b954be1e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Deoxycytidine
138 rdf:type schema:DefinedTerm
139 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
140 schema:name Biological Sciences
141 rdf:type schema:DefinedTerm
142 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
143 schema:name Genetics
144 rdf:type schema:DefinedTerm
145 sg:grant.2438873 http://pending.schema.org/fundedItem sg:pub.10.1038/sj.tpj.6500259
146 rdf:type schema:MonetaryGrant
147 sg:grant.2690870 http://pending.schema.org/fundedItem sg:pub.10.1038/sj.tpj.6500259
148 rdf:type schema:MonetaryGrant
149 sg:journal.1027238 schema:issn 1470-269X
150 1473-1150
151 schema:name The Pharmacogenomics Journal
152 rdf:type schema:Periodical
153 sg:person.01231016344.35 schema:affiliation https://www.grid.ac/institutes/grid.4367.6
154 schema:familyName Marsh
155 schema:givenName S
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231016344.35
157 rdf:type schema:Person
158 sg:person.01312017264.19 schema:affiliation https://www.grid.ac/institutes/grid.169077.e
159 schema:familyName Fukunaga
160 schema:givenName A K
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312017264.19
162 rdf:type schema:Person
163 sg:person.0576740043.94 schema:affiliation https://www.grid.ac/institutes/grid.257413.6
164 schema:familyName Hurley
165 schema:givenName T D
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576740043.94
167 rdf:type schema:Person
168 sg:person.0621173744.43 schema:affiliation https://www.grid.ac/institutes/grid.4367.6
169 schema:familyName McLeod
170 schema:givenName H L
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621173744.43
172 rdf:type schema:Person
173 sg:person.0731241672.49 schema:affiliation https://www.grid.ac/institutes/grid.169077.e
174 schema:familyName Murry
175 schema:givenName D J
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731241672.49
177 rdf:type schema:Person
178 https://app.dimensions.ai/details/publication/pub.1074520995 schema:CreativeWork
179 https://app.dimensions.ai/details/publication/pub.1074730787 schema:CreativeWork
180 https://app.dimensions.ai/details/publication/pub.1074745541 schema:CreativeWork
181 https://app.dimensions.ai/details/publication/pub.1077340785 schema:CreativeWork
182 https://app.dimensions.ai/details/publication/pub.1077376786 schema:CreativeWork
183 https://app.dimensions.ai/details/publication/pub.1078725148 schema:CreativeWork
184 https://app.dimensions.ai/details/publication/pub.1079715430 schema:CreativeWork
185 https://app.dimensions.ai/details/publication/pub.1082379290 schema:CreativeWork
186 https://app.dimensions.ai/details/publication/pub.1082379293 schema:CreativeWork
187 https://app.dimensions.ai/details/publication/pub.1082487926 schema:CreativeWork
188 https://app.dimensions.ai/details/publication/pub.1082537301 schema:CreativeWork
189 https://app.dimensions.ai/details/publication/pub.1082618932 schema:CreativeWork
190 https://app.dimensions.ai/details/publication/pub.1082979579 schema:CreativeWork
191 https://app.dimensions.ai/details/publication/pub.1082989737 schema:CreativeWork
192 https://app.dimensions.ai/details/publication/pub.1082989738 schema:CreativeWork
193 https://app.dimensions.ai/details/publication/pub.1082989755 schema:CreativeWork
194 https://app.dimensions.ai/details/publication/pub.1083233144 schema:CreativeWork
195 https://app.dimensions.ai/details/publication/pub.1083327366 schema:CreativeWork
196 https://doi.org/10.1001/archinte.162.17.1985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019640029
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1001/archinte.163.1.49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035418898
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1002/(sici)1097-0215(19990924)83:1<18::aid-ijc5>3.0.co;2-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1026356547
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/1097-0142(20000601)88:11<2505::aid-cncr11>3.0.co;2-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1020435206
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1002/1098-1004(200012)16:6<528::aid-humu11>3.0.co;2-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1039683867
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1002/elps.1150181505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049714182
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1002/humu.10115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037485691
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/0006-2952(93)90444-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043896140
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/0022-2836(90)90154-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1039629174
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/s0006-2952(01)00627-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025044316
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/s0076-6879(96)66034-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027814431
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/s0959-8049(00)00246-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044632468
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s0959-8049(98)00230-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004349332
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1021/jm00110a019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055935474
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1056/nejmoa011954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052159806
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1056/nejmra020526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009321362
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1086/342666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058639472
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/hmg/8.2.367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017479608
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/jnci/91.21.1876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021397642
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/jnci/95.5.362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042535498
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1097/00008571-199806000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060289588
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1097/00008571-200301000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060289994
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1097/00008571-200305000-00010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060290033
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1097/01.fpc.0000054083.64000.2a schema:sameAs https://app.dimensions.ai/details/publication/pub.1060290033
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1111/j.1469-1809.1995.tb01608.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014484093
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1146/annurev.pharmtox.41.1.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032396630
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1159/000048240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015135125
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1200/jco.2002.11.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064203191
251 rdf:type schema:CreativeWork
252 https://doi.org/10.3816/ccc.2001.n.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009226948
253 rdf:type schema:CreativeWork
254 https://www.grid.ac/institutes/grid.169077.e schema:alternateName Purdue University
255 schema:name Department of Clinical Pharmacy and Pharmacy Practice, Purdue University, W. Lafayette, IN, USA
256 rdf:type schema:Organization
257 https://www.grid.ac/institutes/grid.257413.6 schema:alternateName Indiana University – Purdue University Indianapolis
258 schema:name Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
259 rdf:type schema:Organization
260 https://www.grid.ac/institutes/grid.4367.6 schema:alternateName Washington University in St. Louis
261 schema:name Departments of Medicine, Genetics, and Molecular Biology and Pharmacology, Washington University School of Medicine and the Siteman Cancer Center, St Louis, MO, USA
262 rdf:type schema:Organization
 




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


...