Ontology type: schema:ScholarlyArticle Open Access: True
2022-03-25
AUTHORSHiroshi Nakagomi, Masayuki Inoue, Yosuke Hirotsu, Kenji Amemiya, Hitoshi Mochiduki, Masao Omata
ABSTRACTPurposeIpsilateral breast tumor recurrence (IBTR) after breast-conserving therapy is seen after a long interval, but the clinical classification of Residual Tumor Recurrence (RR) or Double Primary (DP) needs to be validated. We used genome profiling to identify the genetic alterations associated with IBTR.MethodsAmong 1881 breast cancer patients treated with breast-conserving therapy between 1999 and 2018, IBTR occurred in 52 patients (2.8%). Of these 22 patients who consented for genomic analysis of Primary Breast Cancer (T1) and IBTR (T2) were studied. When the same gene mutations in T1 and T2 were identified, it was classified as genomic residual recurrence gRR, and when no shared mutations identified, it was classified as gDP. The differences between clinical and genomic classification were compared. Furthermore, the pathway of the genes which were responsible for recurrence was also examined.ResultsOf 13 clinically diagnosed RRs (cRRs), 11 were gRR and 2 were gDPs, while of 9 cDPs, 6 were gDP and 3 gRR, with a match rate of 17/22 (77%). We searched for genes involved in IBTR: PIK3CA-AKT pathway mutations were found in 12 of 14 gRRs (86%) in T1, and only 2 of 8 gDPs (25%) with significant difference (p = 0.004). When both of PBC and IBTR compared, PIK3CA-AKT pathway abnormalities were 24/28 (86%) in the gRR and 5/16 (31%) in the gDP (p < 0.001).ConclusionsGenome profiling revealed that abnormalities in the PIK3CA-AKT pathway in long-term residential recurrences and are a crucial molecular group in the development of IBTR. More... »
PAGES349-359
http://scigraph.springernature.com/pub.10.1007/s10549-022-06570-y
DOIhttp://dx.doi.org/10.1007/s10549-022-06570-y
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1146562339
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/35338411
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": "Breast Neoplasms",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Class I Phosphatidylinositol 3-Kinases",
"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": "Mastectomy, Segmental",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Neoplasm Recurrence, Local",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Proto-Oncogene Proteins c-akt",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, 400-8506, Kofu, Yamanashi, Japan",
"id": "http://www.grid.ac/institutes/grid.417333.1",
"name": [
"Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, 400-8506, Kofu, Yamanashi, Japan"
],
"type": "Organization"
},
"familyName": "Nakagomi",
"givenName": "Hiroshi",
"id": "sg:person.01152576336.53",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152576336.53"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, 400-8506, Kofu, Yamanashi, Japan",
"id": "http://www.grid.ac/institutes/grid.417333.1",
"name": [
"Department of Breast Surgery, Yamanashi Prefectural Central Hospital, Fujimi1-1-1, 400-8506, Kofu, Yamanashi, Japan"
],
"type": "Organization"
},
"familyName": "Inoue",
"givenName": "Masayuki",
"id": "sg:person.01354217107.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354217107.78"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Yamanashi, Japan",
"id": "http://www.grid.ac/institutes/grid.417333.1",
"name": [
"Genome Analysis Center, Yamanashi Prefectural Central Hospital, Yamanashi, Japan"
],
"type": "Organization"
},
"familyName": "Hirotsu",
"givenName": "Yosuke",
"id": "sg:person.01104463136.69",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104463136.69"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Yamanashi, Japan",
"id": "http://www.grid.ac/institutes/grid.417333.1",
"name": [
"Genome Analysis Center, Yamanashi Prefectural Central Hospital, Yamanashi, Japan"
],
"type": "Organization"
},
"familyName": "Amemiya",
"givenName": "Kenji",
"id": "sg:person.01271466715.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271466715.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Genome Analysis Center, Yamanashi Prefectural Central Hospital, Yamanashi, Japan",
"id": "http://www.grid.ac/institutes/grid.417333.1",
"name": [
"Genome Analysis Center, Yamanashi Prefectural Central Hospital, Yamanashi, Japan"
],
"type": "Organization"
},
"familyName": "Mochiduki",
"givenName": "Hitoshi",
"id": "sg:person.01062644645.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062644645.51"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Tokyo, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.26999.3d",
"name": [
"Genome Analysis Center, Yamanashi Prefectural Central Hospital, Yamanashi, Japan",
"University of Tokyo, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Omata",
"givenName": "Masao",
"id": "sg:person.0775700471.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775700471.08"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/nature11412",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024942368",
"https://doi.org/10.1038/nature11412"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12032-016-0744-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051585301",
"https://doi.org/10.1007/s12032-016-0744-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng.2822",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019741899",
"https://doi.org/10.1038/ng.2822"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00535-019-01659-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1123926859",
"https://doi.org/10.1007/s00535-019-01659-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10549-016-3732-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033002345",
"https://doi.org/10.1007/s10549-016-3732-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature14669",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038274574",
"https://doi.org/10.1038/nature14669"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10549-019-05401-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1120390199",
"https://doi.org/10.1007/s10549-019-05401-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature14665",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006527545",
"https://doi.org/10.1038/nature14665"
],
"type": "CreativeWork"
}
],
"datePublished": "2022-03-25",
"datePublishedReg": "2022-03-25",
"description": "PurposeIpsilateral breast tumor recurrence (IBTR) after breast-conserving therapy is seen after a long interval, but the clinical classification of Residual Tumor Recurrence (RR) or Double Primary (DP) needs to be validated. We used genome profiling to identify the genetic alterations associated with IBTR.MethodsAmong 1881 breast cancer patients treated with breast-conserving therapy between 1999 and 2018, IBTR occurred in 52 patients (2.8%). Of these 22 patients who consented for genomic analysis of Primary Breast Cancer (T1) and IBTR (T2) were studied. When the same gene mutations in T1 and T2 were identified, it was classified as genomic residual recurrence gRR, and when no shared mutations identified, it was classified as gDP. The differences between clinical and genomic classification were compared. Furthermore, the pathway of the genes which were responsible for recurrence was also examined.ResultsOf 13 clinically diagnosed RRs (cRRs), 11 were gRR and 2 were gDPs, while of 9 cDPs, 6 were gDP and 3 gRR, with a match rate of 17/22 (77%). We searched for genes involved in IBTR: PIK3CA-AKT pathway mutations were found in 12 of 14 gRRs (86%) in T1, and only 2 of 8 gDPs (25%) with significant difference (p\u2009=\u20090.004). When both of PBC and IBTR compared, PIK3CA-AKT pathway abnormalities were 24/28 (86%) in the gRR and 5/16 (31%) in the gDP (p\u2009<\u20090.001).ConclusionsGenome profiling revealed that abnormalities in the PIK3CA-AKT pathway in long-term residential recurrences and are a crucial molecular group in the development of IBTR.",
"genre": "article",
"id": "sg:pub.10.1007/s10549-022-06570-y",
"inLanguage": "en",
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.9189230",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.7543122",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1092777",
"issn": [
"0167-6806",
"1573-7217"
],
"name": "Breast Cancer Research and Treatment",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "193"
}
],
"keywords": [
"breast tumor recurrence",
"breast-conserving therapy",
"tumor recurrence",
"double primaries",
"ipsilateral breast tumor recurrence",
"primary breast cancer",
"breast-conserving surgery",
"breast cancer patients",
"same gene mutation",
"cancer patients",
"IBTR",
"pathway abnormalities",
"breast cancer",
"clinical classification",
"recurrence",
"patients",
"pathway mutations",
"shared mutations",
"gene mutations",
"genetic alterations",
"genomic classification",
"significant differences",
"therapy",
"abnormalities",
"longer intervals",
"GDPs",
"pathway",
"mutations",
"surgery",
"T1",
"cancer",
"genome profiling",
"differences",
"genes",
"alterations",
"profiling",
"primary",
"T2",
"group",
"genomic analysis",
"match rate",
"interval",
"PBC",
"classification",
"rate",
"GRR",
"development",
"molecular groups",
"analysis",
"CDPS",
"GDP"
],
"name": "PIK3CA-AKT pathway predominantly acts in developing ipsilateral breast tumor recurrence long after breast-conserving surgery",
"pagination": "349-359",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1146562339"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10549-022-06570-y"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"35338411"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10549-022-06570-y",
"https://app.dimensions.ai/details/publication/pub.1146562339"
],
"sdDataset": "articles",
"sdDatePublished": "2022-06-01T22:24",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_937.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s10549-022-06570-y"
}
]
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/s10549-022-06570-y'
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/s10549-022-06570-y'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-022-06570-y'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-022-06570-y'
This table displays all metadata directly associated to this object as RDF triples.
218 TRIPLES
22 PREDICATES
92 URIs
76 LITERALS
14 BLANK NODES