Ontology type: schema:ScholarlyArticle
2016-06-15
AUTHORSSaé Muñiz-Hernández, Sara Huerta-Yepez, Norma Hernández-Pedro, Laura-Alejandra Ramírez-Tirado, Alejandro Aviles-Salas, Altagracia Maldonado, Daniel Hernández-Cueto, Guillermina Baay-Guzmán, Oscar Arrieta
ABSTRACTBackgroundTranscription factors such as retinoic acid receptor alpha (RARα) and beta (RARβ) and Yin Yang 1 (YY1) are associated with the progression of non-small cell lung cancer (NSCLC). In particular, a lack of RARβ expression is associated with NSCLC development. The aim of this study was to analyze the expression of RARα, RARβ and YY1 and their relationship with prognosis in patients with advanced NSCLC.MethodsThe expression of RARα, RARβ and YY1 was assessed by immunohistochemistry and quantitative computerized image software.ResultsEighty-five patients treated with platinum-based chemotherapy were included in the analysis. The mean and standard deviation of the nuclear expression of RARα, RARβ and YY1 were 184.5 ± 124.4, 18 ± 27 and 16.6 ± 20.5, respectively. The nuclear expression of RARβ was associated with the nuclear expression of YY1 (R2 = 0.28; p value < 0.0001). Patients with high nuclear expression of YY1 were likely to be non-smokers (61.9 vs 40.5 %). Median progression-free survival (PFS) was 5.9 months (3.48–8.28). Low expression of RARα was independently associated with worse PFS following chemotherapy (10.3 vs 5.46 months p = 0.040). Median overall survival (OS) was 15.6 months (4.5–26.7), and lower nuclear expression of RARβ was independently associated with shorter OS (27.5 vs 8.7 months; p = 0.037).ConclusionOur study suggests that the loss of RARs is associated with a worse prognosis and these receptors could be a potential molecular target for NSCLC. More... »
PAGES1051-1061
http://scigraph.springernature.com/pub.10.1007/s10147-016-1002-0
DOIhttp://dx.doi.org/10.1007/s10147-016-1002-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1048664941
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27306217
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": "Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Antineoplastic Agents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Carcinoma, Non-Small-Cell Lung",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cisplatin",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Diagnosis, Computer-Assisted",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Disease-Free Survival",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Expression Regulation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Immunohistochemistry",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lung Neoplasms",
"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": "Prognosis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Receptors, Retinoic Acid",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Retinoic Acid Receptor alpha",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Transcription Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "YY1 Transcription Factor",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Laboratory of Personalized Medicine, Instituto Nacional de Cancerolog\u00eda, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/grid.419167.c",
"name": [
"Laboratory of Personalized Medicine, Instituto Nacional de Cancerolog\u00eda, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Mu\u00f1iz-Hern\u00e1ndez",
"givenName": "Sa\u00e9",
"id": "sg:person.01335727426.76",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335727426.76"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Huerta-Yepez",
"givenName": "Sara",
"id": "sg:person.01171343223.95",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171343223.95"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Laboratory of Personalized Medicine, Instituto Nacional de Cancerolog\u00eda, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/grid.419167.c",
"name": [
"Laboratory of Personalized Medicine, Instituto Nacional de Cancerolog\u00eda, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Hern\u00e1ndez-Pedro",
"givenName": "Norma",
"id": "sg:person.01266562033.98",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266562033.98"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Thoracic Oncology Unit, Instituto Nacional de Cancerolog\u00eda, San Fernando # 22, Tlalpan, 14080, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/grid.419167.c",
"name": [
"Thoracic Oncology Unit, Instituto Nacional de Cancerolog\u00eda, San Fernando # 22, Tlalpan, 14080, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Ram\u00edrez-Tirado",
"givenName": "Laura-Alejandra",
"id": "sg:person.01173460062.64",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173460062.64"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Pathology, Instituto Nacional de Cancerolog\u00eda, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/grid.419167.c",
"name": [
"Department of Pathology, Instituto Nacional de Cancerolog\u00eda, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Aviles-Salas",
"givenName": "Alejandro",
"id": "sg:person.01366302515.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366302515.33"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Maldonado",
"givenName": "Altagracia",
"id": "sg:person.010010511261.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010010511261.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Hern\u00e1ndez-Cueto",
"givenName": "Daniel",
"id": "sg:person.01244323444.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01244323444.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Molecular Markers Laboratory, Hospital Infantil de M\u00e9xico \u201cFederico G\u00f3mez\u201d, Secretar\u00eda de Salud, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Baay-Guzm\u00e1n",
"givenName": "Guillermina",
"id": "sg:person.01123511101.52",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123511101.52"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Thoracic Oncology Unit, Instituto Nacional de Cancerolog\u00eda, San Fernando # 22, Tlalpan, 14080, Mexico City, Mexico",
"id": "http://www.grid.ac/institutes/grid.419167.c",
"name": [
"Laboratory of Personalized Medicine, Instituto Nacional de Cancerolog\u00eda, Mexico City, Mexico",
"Thoracic Oncology Unit, Instituto Nacional de Cancerolog\u00eda, San Fernando # 22, Tlalpan, 14080, Mexico City, Mexico"
],
"type": "Organization"
},
"familyName": "Arrieta",
"givenName": "Oscar",
"id": "sg:person.0711063504.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711063504.30"
],
"type": "Person"
}
],
"datePublished": "2016-06-15",
"datePublishedReg": "2016-06-15",
"description": "BackgroundTranscription factors such as retinoic acid receptor alpha (RAR\u03b1) and beta (RAR\u03b2) and Yin Yang 1 (YY1) are associated with the progression of non-small cell lung cancer (NSCLC). In particular, a lack of RAR\u03b2 expression is associated with NSCLC development. The aim of this study was to analyze the expression of RAR\u03b1, RAR\u03b2 and YY1 and their relationship with prognosis in patients with advanced NSCLC.MethodsThe expression of RAR\u03b1, RAR\u03b2 and YY1 was assessed by immunohistochemistry and quantitative computerized image software.ResultsEighty-five patients treated with platinum-based chemotherapy were included in the analysis. The mean and standard deviation of the nuclear expression of RAR\u03b1, RAR\u03b2 and YY1 were 184.5\u00a0\u00b1\u00a0124.4, 18\u00a0\u00b1\u00a027 and 16.6\u00a0\u00b1\u00a020.5, respectively. The nuclear expression of RAR\u03b2 was associated with the nuclear expression of YY1 (R2\u00a0=\u00a00.28; p value\u00a0<\u00a00.0001). Patients with high nuclear expression of YY1 were likely to be non-smokers (61.9 vs 40.5\u00a0%). Median progression-free survival (PFS) was 5.9\u00a0months (3.48\u20138.28). Low expression of RAR\u03b1 was independently associated with worse PFS following chemotherapy (10.3 vs 5.46\u00a0months p\u00a0=\u00a00.040). Median overall survival (OS) was 15.6\u00a0months (4.5\u201326.7), and lower nuclear expression of RAR\u03b2 was independently associated with shorter OS (27.5 vs 8.7\u00a0months; p\u00a0=\u00a00.037).ConclusionOur study suggests that the loss of RARs is associated with a worse prognosis and these receptors could be a potential molecular target for NSCLC.",
"genre": "article",
"id": "sg:pub.10.1007/s10147-016-1002-0",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1312225",
"issn": [
"1341-9625",
"1437-7772"
],
"name": "International Journal of Clinical Oncology",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "6",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "21"
}
],
"keywords": [
"non-small cell lung cancer",
"progression-free survival",
"advanced non-small cell lung cancer",
"cell lung cancer",
"retinoic acid receptor alpha",
"overall survival",
"acid receptor alpha",
"nuclear expression",
"Yin Yang 1",
"lung cancer",
"receptor alpha",
"median progression-free survival",
"worse progression-free survival",
"loss of RAR",
"median overall survival",
"platinum-based chemotherapy",
"expression of RAR\u03b1",
"shorter overall survival",
"low nuclear expression",
"high nuclear expression",
"potential molecular targets",
"RAR\u03b2 expression",
"worse prognosis",
"clinicopathological features",
"NSCLC development",
"MethodsThe expression",
"ConclusionOur study",
"low expression",
"patients",
"prognosis",
"RAR\u03b1",
"molecular targets",
"RAR\u03b2",
"chemotherapy",
"cancer",
"months",
"Yang 1",
"survival",
"expression",
"alpha",
"image software",
"beta",
"immunohistochemistry",
"progression",
"receptors",
"RAR",
"study",
"association",
"aim",
"target",
"factors",
"lack",
"loss",
"standard deviation",
"development",
"relationship",
"analysis",
"features",
"deviation",
"software",
"BackgroundTranscription factors"
],
"name": "Association between nuclear expression of retinoic acid receptor alpha and beta and clinicopathological features and prognosis of advanced non-small cell lung cancer",
"pagination": "1051-1061",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1048664941"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10147-016-1002-0"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27306217"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10147-016-1002-0",
"https://app.dimensions.ai/details/publication/pub.1048664941"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:32",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_702.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s10147-016-1002-0"
}
]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/s10147-016-1002-0'
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/s10147-016-1002-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10147-016-1002-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10147-016-1002-0'
This table displays all metadata directly associated to this object as RDF triples.
262 TRIPLES
21 PREDICATES
106 URIs
98 LITERALS
26 BLANK NODES