Ontology type: schema:ScholarlyArticle
2011-06-29
AUTHORSToshiaki Watanabe, Takashi Kobunai, Yoko Yamamoto, Keiji Matsuda, Soichiro Ishihara, Keijiro Nozawa, Hisae Iinuma, Tsuyoshi Konishi, Hisanaga Horie, Hiroki Ikeuchi, Kiyoshi Eshima, Tetsuichiro Muto
ABSTRACTPurposeFOLFOX (a combination of leucovorin, fluorouracil and oxaliplatin) has achieved substantial success in the treatment of colorectal cancer (CRC) patients. However, about half of all patients show resistance to this regimen and some develop adverse symptoms such as neurotoxicity. In order to select patients who would benefit most from this therapy, we aimed to build a predictor for the response to FOLFOX using microarray gene expression profiles of primary CRC samples.Patients and methodsForty patients who underwent surgery for primary lesions were examined. All patients had metastatic or recurrent CRC and received modified FOLFOX6. Responders and nonresponders were determined according to the best observed response at the end of the first-line treatment. Gene-expression profiles of primary CRC were determined using Human Genome GeneChip arrays U133. We identified discriminating genes whose expression differed significantly between responders and nonresponders and then carried out supervised class prediction using the k-nearest-neighbour method.ResultsWe identified 27 probes that were differentially expressed between responders and nonresponders at significant levels. Based on the expression of these genes, we constructed a FOLFOX response predictor with an overall accuracy of 92.5%. The sensitivity, specificity, positive and negative predictive values were 78.6%, 100%, 100% and 89.7%, respectively.ConclusionThe present model suggests the possibility of selecting patients who would benefit from FOLFOX therapy both in the metastatic and the adjuvant setting. To our knowledge, this is the first study to establish a prediction model for the response to FOLFOX chemotherapy based on gene expression by microarray analysis. More... »
PAGES419-425
http://scigraph.springernature.com/pub.10.1007/s12094-011-0676-z
DOIhttp://dx.doi.org/10.1007/s12094-011-0676-z
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1015715567
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/21680303
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": "Adenocarcinoma",
"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": "Antineoplastic Combined Chemotherapy Protocols",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Biomarkers, Tumor",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Colorectal Neoplasms",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Fluorouracil",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Expression Profiling",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Leucovorin",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lymphatic Metastasis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Neoplasm Recurrence, Local",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Oligonucleotide Array Sequence Analysis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Organoplatinum Compounds",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Oxaliplatin",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Survival Rate",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Treatment Outcome",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.264706.1",
"name": [
"Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Watanabe",
"givenName": "Toshiaki",
"id": "sg:person.01333100753.35",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333100753.35"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tokushima Research Center, Taiho Pharmaceutical Co., Ltd., 224-2, Ebisuno, Hiraishi, Kawauchi-cho, 771-0194, Tokushima, Japan",
"id": "http://www.grid.ac/institutes/grid.419828.e",
"name": [
"Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan",
"Tokushima Research Center, Taiho Pharmaceutical Co., Ltd., 224-2, Ebisuno, Hiraishi, Kawauchi-cho, 771-0194, Tokushima, Japan"
],
"type": "Organization"
},
"familyName": "Kobunai",
"givenName": "Takashi",
"id": "sg:person.0630710546.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630710546.08"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.264706.1",
"name": [
"Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Yamamoto",
"givenName": "Yoko",
"id": "sg:person.01360572012.14",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360572012.14"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.264706.1",
"name": [
"Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Matsuda",
"givenName": "Keiji",
"id": "sg:person.01223516634.34",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223516634.34"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.264706.1",
"name": [
"Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Ishihara",
"givenName": "Soichiro",
"id": "sg:person.0605274525.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605274525.19"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.264706.1",
"name": [
"Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Nozawa",
"givenName": "Keijiro",
"id": "sg:person.01346337414.83",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346337414.83"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.264706.1",
"name": [
"Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8605, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Iinuma",
"givenName": "Hisae",
"id": "sg:person.0737161714.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737161714.74"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The Cancer Institute Hospital of JFCR, 3-10-6, Ariake, Kotoh-ku, 135-8550, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.486756.e",
"name": [
"The Cancer Institute Hospital of JFCR, 3-10-6, Ariake, Kotoh-ku, 135-8550, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Konishi",
"givenName": "Tsuyoshi",
"id": "sg:person.01323340505.76",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323340505.76"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Surgery School of Medicine, Jichi Medical University, Yakushiji 3311-1, 329-0498, Shimotsuke Tochigi, Japan",
"id": "http://www.grid.ac/institutes/grid.410804.9",
"name": [
"Department of Surgery School of Medicine, Jichi Medical University, Yakushiji 3311-1, 329-0498, Shimotsuke Tochigi, Japan"
],
"type": "Organization"
},
"familyName": "Horie",
"givenName": "Hisanaga",
"id": "sg:person.0760333502.93",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760333502.93"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Surgery, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, 663-8501, Hyogo, Japan",
"id": "http://www.grid.ac/institutes/grid.272264.7",
"name": [
"Department of Surgery, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, 663-8501, Hyogo, Japan"
],
"type": "Organization"
},
"familyName": "Ikeuchi",
"givenName": "Hiroki",
"id": "sg:person.01253630102.06",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253630102.06"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tokushima Research Center, Taiho Pharmaceutical Co., Ltd., 224-2, Ebisuno, Hiraishi, Kawauchi-cho, 771-0194, Tokushima, Japan",
"id": "http://www.grid.ac/institutes/grid.419828.e",
"name": [
"Tokushima Research Center, Taiho Pharmaceutical Co., Ltd., 224-2, Ebisuno, Hiraishi, Kawauchi-cho, 771-0194, Tokushima, Japan"
],
"type": "Organization"
},
"familyName": "Eshima",
"givenName": "Kiyoshi",
"id": "sg:person.0767047423.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767047423.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The Cancer Institute Hospital of JFCR, 3-10-6, Ariake, Kotoh-ku, 135-8550, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.486756.e",
"name": [
"The Cancer Institute Hospital of JFCR, 3-10-6, Ariake, Kotoh-ku, 135-8550, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Muto",
"givenName": "Tetsuichiro",
"id": "sg:person.01353122256.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353122256.33"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/sj.bjc.6604671",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050841785",
"https://doi.org/10.1038/sj.bjc.6604671"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/gb-2003-4-6-r41",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028132880",
"https://doi.org/10.1186/gb-2003-4-6-r41"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6601975",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020515235",
"https://doi.org/10.1038/sj.bjc.6601975"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6602215",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045391401",
"https://doi.org/10.1038/sj.bjc.6602215"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6600467",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041567656",
"https://doi.org/10.1038/sj.bjc.6600467"
],
"type": "CreativeWork"
}
],
"datePublished": "2011-06-29",
"datePublishedReg": "2011-06-29",
"description": "PurposeFOLFOX (a combination of leucovorin, fluorouracil and oxaliplatin) has achieved substantial success in the treatment of colorectal cancer (CRC) patients. However, about half of all patients show resistance to this regimen and some develop adverse symptoms such as neurotoxicity. In order to select patients who would benefit most from this therapy, we aimed to build a predictor for the response to FOLFOX using microarray gene expression profiles of primary CRC samples.Patients and methodsForty patients who underwent surgery for primary lesions were examined. All patients had metastatic or recurrent CRC and received modified FOLFOX6. Responders and nonresponders were determined according to the best observed response at the end of the first-line treatment. Gene-expression profiles of primary CRC were determined using Human Genome GeneChip arrays U133. We identified discriminating genes whose expression differed significantly between responders and nonresponders and then carried out supervised class prediction using the k-nearest-neighbour method.ResultsWe identified 27 probes that were differentially expressed between responders and nonresponders at significant levels. Based on the expression of these genes, we constructed a FOLFOX response predictor with an overall accuracy of 92.5%. The sensitivity, specificity, positive and negative predictive values were 78.6%, 100%, 100% and 89.7%, respectively.ConclusionThe present model suggests the possibility of selecting patients who would benefit from FOLFOX therapy both in the metastatic and the adjuvant setting. To our knowledge, this is the first study to establish a prediction model for the response to FOLFOX chemotherapy based on gene expression by microarray analysis.",
"genre": "article",
"id": "sg:pub.10.1007/s12094-011-0676-z",
"isAccessibleForFree": false,
"isFundedItemOf": [
{
"id": "sg:grant.6016586",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1035367",
"issn": [
"1699-048X",
"1699-3055"
],
"name": "Clinical and Translational Oncology",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "6",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "13"
}
],
"keywords": [
"colorectal cancer patients",
"cancer patients",
"primary CRC samples",
"first-line treatment",
"use of leucovorin",
"gene expression profiles",
"negative predictive value",
"recurrent CRC",
"adjuvant setting",
"FOLFOX chemotherapy",
"FOLFOX therapy",
"gene expression signatures",
"primary lesion",
"primary CRC",
"MethodsForty patients",
"adverse symptoms",
"CRC samples",
"response predictors",
"patients",
"predictive value",
"nonresponders",
"responders",
"expression signatures",
"therapy",
"microarray analysis",
"CRC",
"treatment",
"expression profiles",
"predictors",
"first study",
"microarray gene expression profiles",
"expression",
"gene expression",
"significant levels",
"response",
"FOLFOX6",
"FOLFOX",
"leucovorin",
"regimen",
"metastatic",
"chemotherapy",
"surgery",
"fluorouracil",
"oxaliplatin",
"neurotoxicity",
"lesions",
"symptoms",
"ResultsWe",
"U133",
"genes",
"profile",
"specificity",
"setting",
"levels",
"substantial success",
"half",
"overall accuracy",
"study",
"observed response",
"sensitivity",
"resistance",
"use",
"prediction model",
"samples",
"knowledge",
"success",
"end",
"analysis",
"model",
"possibility",
"values",
"method",
"probe",
"signatures",
"accuracy",
"order",
"class prediction",
"prediction",
"k-nearest-neighbour method",
"present model"
],
"name": "Gene expression signature and response to the use of leucovorin, fluorouracil and oxaliplatin in colorectal cancer patients",
"pagination": "419-425",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1015715567"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s12094-011-0676-z"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"21680303"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s12094-011-0676-z",
"https://app.dimensions.ai/details/publication/pub.1015715567"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T16:59",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_552.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s12094-011-0676-z"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12094-011-0676-z'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12094-011-0676-z'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12094-011-0676-z'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12094-011-0676-z'
This table displays all metadata directly associated to this object as RDF triples.
333 TRIPLES
21 PREDICATES
130 URIs
117 LITERALS
27 BLANK NODES