Season of tumour detection influences factors predicting survival of patients with breast cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1990-01

AUTHORS

Barbara H. Mason, Ian M. Holdaway, Alistair W. Stewart, Lorraine M. Neave, Ronald G. Kay

ABSTRACT

The rate of initial detection of breast tumours varies during the year in a seasonal fashion, more tumours being discovered in late spring/early summer than at other times of the year. This phenomenon is particularly pronounced in young women (less than 50 years) with progesterone receptor positive tumours. The present study investigates whether season of tumour detection influences the predictive capacity of several recognised prognostic and risk factors in patients with breast cancer. Axillary nodal status, tumour progesterone receptor status, and season of tumour detection significantly influenced survival in both older (greater than 50 yrs) and younger (less than 50 yrs) patients. Parity, lactational history, body mass index, tumour oestrogen receptor status, and patient age also influenced survival, but these effects were significant only in age groups less than 50 or greater than 50 yrs. Season of detection of tumour did not effect the prognostic significance of axillary nodal status. However, the effect of oestrogen receptor status on survival was more significant in patients who detected their tumours in the spring/summer compared with winter (odds ratio 0.52 and 0.73 respectively). Negative progesterone receptor status was associated with significant poorer survival only in patients with tumours found in the winter. There was a significant survival disadvantage for nulliparous compared with parous women with breast cancer who were greater than or equal to 50 years at diagnosis, and for women who had never lactated compared with those who had lactated, but this disadvantage was restricted to those who found their tumours in the summer. An increased body mass index (greater than or equal to 28) was associated with decreased survival, but this was significant only for those detecting tumours in winter. The increased incidence of detection of breast cancer in spring/summer may reflect cyclic influences on tumour growth. Such influences may be hormonal in nature and may underlie the effect of season of tumour detection on the prognostic influence of lactation, parity, body mass index, and oestrogen and progesterone receptor status in patients with breast cancer. More... »

PAGES

27-37

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf01811887

DOI

http://dx.doi.org/10.1007/bf01811887

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000025045

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/2328328


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Feeding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "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": "Lymph Nodes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Menarche", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Parity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Periodicity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Estrogen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Progesterone", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seasons", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Auckland", 
          "id": "https://www.grid.ac/institutes/grid.9654.e", 
          "name": [
            "Department of Surgery, Auckland Medical School, University of Auckland, Auckland, New Zealand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mason", 
        "givenName": "Barbara H.", 
        "id": "sg:person.01231066407.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231066407.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Auckland City Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414055.1", 
          "name": [
            "Department of Endocrinology, Auckland Hospital, Auckland, New Zealand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holdaway", 
        "givenName": "Ian M.", 
        "id": "sg:person.01051761714.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051761714.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Auckland", 
          "id": "https://www.grid.ac/institutes/grid.9654.e", 
          "name": [
            "Department of Community Health, University of Auckland, Auckland, New Zealand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stewart", 
        "givenName": "Alistair W.", 
        "id": "sg:person.014243773442.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014243773442.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Auckland", 
          "id": "https://www.grid.ac/institutes/grid.9654.e", 
          "name": [
            "Department of Surgery, University of Auckland, Auckland, New Zealand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Neave", 
        "givenName": "Lorraine M.", 
        "id": "sg:person.01207425632.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207425632.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Auckland", 
          "id": "https://www.grid.ac/institutes/grid.9654.e", 
          "name": [
            "Department of Surgery, University of Auckland, Auckland, New Zealand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kay", 
        "givenName": "Ronald G.", 
        "id": "sg:person.0670024107.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670024107.58"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0014-2964(72)90037-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001463943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm198608283150906", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004906940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01806384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007220061", 
          "https://doi.org/10.1007/bf01806384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01806384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007220061", 
          "https://doi.org/10.1007/bf01806384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1981.121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007618817", 
          "https://doi.org/10.1038/bjc.1981.121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1981.121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007618817", 
          "https://doi.org/10.1038/bjc.1981.121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2265.1986.tb01641.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007768775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19880201)61:3<420::aid-cncr2820610303>3.0.co;2-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015485735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.2.5973.714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015527923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0277-5379(88)90132-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020780474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.1800670302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022230232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm198701293160501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022931253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01805991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023893588", 
          "https://doi.org/10.1007/bf01805991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01805991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023893588", 
          "https://doi.org/10.1007/bf01805991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0895-4356(88)90120-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027404455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19860601)57:11<2217::aid-cncr2820571124>3.0.co;2-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027969520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910220609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031953517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1677/joe.0.0960065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046209151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(87)90593-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046668239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(87)90593-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046668239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01807367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048292006", 
          "https://doi.org/10.1007/bf01807367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01807367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048292006", 
          "https://doi.org/10.1007/bf01807367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910360504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053052474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1983.129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053644726", 
          "https://doi.org/10.1038/bjc.1983.129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1983.129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053644726", 
          "https://doi.org/10.1038/bjc.1983.129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1985.104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056443136", 
          "https://doi.org/10.1038/bjc.1985.104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1985.104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056443136", 
          "https://doi.org/10.1038/bjc.1985.104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/endo-110-5-1766", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064256409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem-35-4-627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064307907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem-51-3-632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064311305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077885046", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/030089167906500605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078659727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/030089167906500605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078659727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/46.6.905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079478888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079496564", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079507300", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/77.3.613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079763352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079819236", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079856009", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080078537", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081557778", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081860927", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081991342", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1990-01", 
    "datePublishedReg": "1990-01-01", 
    "description": "The rate of initial detection of breast tumours varies during the year in a seasonal fashion, more tumours being discovered in late spring/early summer than at other times of the year. This phenomenon is particularly pronounced in young women (less than 50 years) with progesterone receptor positive tumours. The present study investigates whether season of tumour detection influences the predictive capacity of several recognised prognostic and risk factors in patients with breast cancer. Axillary nodal status, tumour progesterone receptor status, and season of tumour detection significantly influenced survival in both older (greater than 50 yrs) and younger (less than 50 yrs) patients. Parity, lactational history, body mass index, tumour oestrogen receptor status, and patient age also influenced survival, but these effects were significant only in age groups less than 50 or greater than 50 yrs. Season of detection of tumour did not effect the prognostic significance of axillary nodal status. However, the effect of oestrogen receptor status on survival was more significant in patients who detected their tumours in the spring/summer compared with winter (odds ratio 0.52 and 0.73 respectively). Negative progesterone receptor status was associated with significant poorer survival only in patients with tumours found in the winter. There was a significant survival disadvantage for nulliparous compared with parous women with breast cancer who were greater than or equal to 50 years at diagnosis, and for women who had never lactated compared with those who had lactated, but this disadvantage was restricted to those who found their tumours in the summer. An increased body mass index (greater than or equal to 28) was associated with decreased survival, but this was significant only for those detecting tumours in winter. The increased incidence of detection of breast cancer in spring/summer may reflect cyclic influences on tumour growth. Such influences may be hormonal in nature and may underlie the effect of season of tumour detection on the prognostic influence of lactation, parity, body mass index, and oestrogen and progesterone receptor status in patients with breast cancer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf01811887", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Season of tumour detection influences factors predicting survival of patients with breast cancer", 
    "pagination": "27-37", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "001e97596d3eee5ddfc7bd27e8c7a6bc12b9761cd60f2d4bf1173dcb358b7711"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "2328328"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8111104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf01811887"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000025045"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf01811887", 
      "https://app.dimensions.ai/details/publication/pub.1000025045"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:33", 
    "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/v90/0000000349_0000000349/records_113661_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF01811887"
  }
]
 

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.10.1007/bf01811887'

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/bf01811887'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01811887'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01811887'


 

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

272 TRIPLES      21 PREDICATES      81 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf01811887 schema:about N039a95f6b8044886ab0f68873c685220
2 N0cf92c9ac75e4731ad06fd51d7f81b23
3 N196e384dd1cd458cb4408eb9820e51f5
4 N2414664d5fed4cc292b188c04ac648b9
5 N2848b233d66a490fab3803fd8466e7e4
6 N543f58d0d6974d4cb586fa3f6f26690c
7 N59594c12355344d68e2d56ac8a55a7fc
8 N6844d5a2817b4070a85a09dc49c04ac3
9 N94efe881109a4b3f948272a2ce4a73b6
10 Nb32512e280544dee9ec8c8eda4f0f51d
11 Nb584a05af8874d429681f46cbcef50fa
12 Nbfecc704fc5a4ed49e71f5ed67ec57a0
13 Nc09aff10471441f39e291c37c9a31da9
14 Ncd091209bbb344a689f22804afbe08a7
15 Nce2238d940664b4baa7198a6e4cf4167
16 Nf679df25ad514ea1adc0cdd30490efa7
17 Nfc2305ab778e4ea9b2a0463e402b7c7b
18 anzsrc-for:11
19 anzsrc-for:1112
20 schema:author N17c9ecc5919d4291aa3b87133f81c55f
21 schema:citation sg:pub.10.1007/bf01805991
22 sg:pub.10.1007/bf01806384
23 sg:pub.10.1007/bf01807367
24 sg:pub.10.1038/bjc.1981.121
25 sg:pub.10.1038/bjc.1983.129
26 sg:pub.10.1038/bjc.1985.104
27 https://app.dimensions.ai/details/publication/pub.1077885046
28 https://app.dimensions.ai/details/publication/pub.1079496564
29 https://app.dimensions.ai/details/publication/pub.1079507300
30 https://app.dimensions.ai/details/publication/pub.1079819236
31 https://app.dimensions.ai/details/publication/pub.1079856009
32 https://app.dimensions.ai/details/publication/pub.1080078537
33 https://app.dimensions.ai/details/publication/pub.1081557778
34 https://app.dimensions.ai/details/publication/pub.1081860927
35 https://app.dimensions.ai/details/publication/pub.1081991342
36 https://doi.org/10.1002/1097-0142(19860601)57:11<2217::aid-cncr2820571124>3.0.co;2-t
37 https://doi.org/10.1002/1097-0142(19880201)61:3<420::aid-cncr2820610303>3.0.co;2-0
38 https://doi.org/10.1002/bjs.1800670302
39 https://doi.org/10.1002/ijc.2910220609
40 https://doi.org/10.1002/ijc.2910360504
41 https://doi.org/10.1016/0014-2964(72)90037-0
42 https://doi.org/10.1016/0277-5379(88)90132-0
43 https://doi.org/10.1016/0895-4356(88)90120-5
44 https://doi.org/10.1016/s0140-6736(87)90593-9
45 https://doi.org/10.1056/nejm198608283150906
46 https://doi.org/10.1056/nejm198701293160501
47 https://doi.org/10.1093/ajcn/46.6.905
48 https://doi.org/10.1093/jnci/77.3.613
49 https://doi.org/10.1111/j.1365-2265.1986.tb01641.x
50 https://doi.org/10.1136/bmj.2.5973.714
51 https://doi.org/10.1177/030089167906500605
52 https://doi.org/10.1210/endo-110-5-1766
53 https://doi.org/10.1210/jcem-35-4-627
54 https://doi.org/10.1210/jcem-51-3-632
55 https://doi.org/10.1677/joe.0.0960065
56 schema:datePublished 1990-01
57 schema:datePublishedReg 1990-01-01
58 schema:description The rate of initial detection of breast tumours varies during the year in a seasonal fashion, more tumours being discovered in late spring/early summer than at other times of the year. This phenomenon is particularly pronounced in young women (less than 50 years) with progesterone receptor positive tumours. The present study investigates whether season of tumour detection influences the predictive capacity of several recognised prognostic and risk factors in patients with breast cancer. Axillary nodal status, tumour progesterone receptor status, and season of tumour detection significantly influenced survival in both older (greater than 50 yrs) and younger (less than 50 yrs) patients. Parity, lactational history, body mass index, tumour oestrogen receptor status, and patient age also influenced survival, but these effects were significant only in age groups less than 50 or greater than 50 yrs. Season of detection of tumour did not effect the prognostic significance of axillary nodal status. However, the effect of oestrogen receptor status on survival was more significant in patients who detected their tumours in the spring/summer compared with winter (odds ratio 0.52 and 0.73 respectively). Negative progesterone receptor status was associated with significant poorer survival only in patients with tumours found in the winter. There was a significant survival disadvantage for nulliparous compared with parous women with breast cancer who were greater than or equal to 50 years at diagnosis, and for women who had never lactated compared with those who had lactated, but this disadvantage was restricted to those who found their tumours in the summer. An increased body mass index (greater than or equal to 28) was associated with decreased survival, but this was significant only for those detecting tumours in winter. The increased incidence of detection of breast cancer in spring/summer may reflect cyclic influences on tumour growth. Such influences may be hormonal in nature and may underlie the effect of season of tumour detection on the prognostic influence of lactation, parity, body mass index, and oestrogen and progesterone receptor status in patients with breast cancer.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree false
62 schema:isPartOf Na19a6496a60b45e0b95701df82e3a5f9
63 Nb6262faa1ff448c7819ade400408c568
64 sg:journal.1092777
65 schema:name Season of tumour detection influences factors predicting survival of patients with breast cancer
66 schema:pagination 27-37
67 schema:productId N2edcd7e0ced84aee885b175666dc63c4
68 N544e7fe44d64410699c1734ec9505d9f
69 N57d7c4b7bbde4d69a10d9cc2eada7e37
70 Nc8a390fdda314e238ea0c0be1e4988be
71 Nee38e3e9ef10432ab00100bec514a284
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000025045
73 https://doi.org/10.1007/bf01811887
74 schema:sdDatePublished 2019-04-11T10:33
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher Nef791b79e9fd416f973c9d9ec0168906
77 schema:url http://link.springer.com/10.1007/BF01811887
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N039a95f6b8044886ab0f68873c685220 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Lymph Nodes
83 rdf:type schema:DefinedTerm
84 N0cf92c9ac75e4731ad06fd51d7f81b23 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Female
86 rdf:type schema:DefinedTerm
87 N17c9ecc5919d4291aa3b87133f81c55f rdf:first sg:person.01231066407.18
88 rdf:rest N90de35724c514dec9a31a3654f3872f2
89 N196e384dd1cd458cb4408eb9820e51f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Adult
91 rdf:type schema:DefinedTerm
92 N2414664d5fed4cc292b188c04ac648b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Obesity
94 rdf:type schema:DefinedTerm
95 N2848b233d66a490fab3803fd8466e7e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Prognosis
97 rdf:type schema:DefinedTerm
98 N2edcd7e0ced84aee885b175666dc63c4 schema:name doi
99 schema:value 10.1007/bf01811887
100 rdf:type schema:PropertyValue
101 N543f58d0d6974d4cb586fa3f6f26690c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Age Factors
103 rdf:type schema:DefinedTerm
104 N544e7fe44d64410699c1734ec9505d9f schema:name dimensions_id
105 schema:value pub.1000025045
106 rdf:type schema:PropertyValue
107 N57d7c4b7bbde4d69a10d9cc2eada7e37 schema:name pubmed_id
108 schema:value 2328328
109 rdf:type schema:PropertyValue
110 N59594c12355344d68e2d56ac8a55a7fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Parity
112 rdf:type schema:DefinedTerm
113 N6844d5a2817b4070a85a09dc49c04ac3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Breast Feeding
115 rdf:type schema:DefinedTerm
116 N90de35724c514dec9a31a3654f3872f2 rdf:first sg:person.01051761714.94
117 rdf:rest Nfad1f87cb2a7497399d30dedfd58f034
118 N94efe881109a4b3f948272a2ce4a73b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Middle Aged
120 rdf:type schema:DefinedTerm
121 Na19a6496a60b45e0b95701df82e3a5f9 schema:volumeNumber 15
122 rdf:type schema:PublicationVolume
123 Nb32512e280544dee9ec8c8eda4f0f51d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Menarche
125 rdf:type schema:DefinedTerm
126 Nb584a05af8874d429681f46cbcef50fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Breast Neoplasms
128 rdf:type schema:DefinedTerm
129 Nb6262faa1ff448c7819ade400408c568 schema:issueNumber 1
130 rdf:type schema:PublicationIssue
131 Nbfecc704fc5a4ed49e71f5ed67ec57a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Risk Factors
133 rdf:type schema:DefinedTerm
134 Nc09aff10471441f39e291c37c9a31da9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Periodicity
136 rdf:type schema:DefinedTerm
137 Nc8a390fdda314e238ea0c0be1e4988be schema:name nlm_unique_id
138 schema:value 8111104
139 rdf:type schema:PropertyValue
140 Ncd091209bbb344a689f22804afbe08a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Seasons
142 rdf:type schema:DefinedTerm
143 Nce2238d940664b4baa7198a6e4cf4167 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Receptors, Estrogen
145 rdf:type schema:DefinedTerm
146 Nd8e1908b92e244178c38f3287e01e1a4 rdf:first sg:person.01207425632.06
147 rdf:rest Ndca7d5766c31492ab3ccf43c9894bfe9
148 Ndca7d5766c31492ab3ccf43c9894bfe9 rdf:first sg:person.0670024107.58
149 rdf:rest rdf:nil
150 Nee38e3e9ef10432ab00100bec514a284 schema:name readcube_id
151 schema:value 001e97596d3eee5ddfc7bd27e8c7a6bc12b9761cd60f2d4bf1173dcb358b7711
152 rdf:type schema:PropertyValue
153 Nef791b79e9fd416f973c9d9ec0168906 schema:name Springer Nature - SN SciGraph project
154 rdf:type schema:Organization
155 Nf679df25ad514ea1adc0cdd30490efa7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Receptors, Progesterone
157 rdf:type schema:DefinedTerm
158 Nfad1f87cb2a7497399d30dedfd58f034 rdf:first sg:person.014243773442.33
159 rdf:rest Nd8e1908b92e244178c38f3287e01e1a4
160 Nfc2305ab778e4ea9b2a0463e402b7c7b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Humans
162 rdf:type schema:DefinedTerm
163 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
164 schema:name Medical and Health Sciences
165 rdf:type schema:DefinedTerm
166 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
167 schema:name Oncology and Carcinogenesis
168 rdf:type schema:DefinedTerm
169 sg:journal.1092777 schema:issn 0167-6806
170 1573-7217
171 schema:name Breast Cancer Research and Treatment
172 rdf:type schema:Periodical
173 sg:person.01051761714.94 schema:affiliation https://www.grid.ac/institutes/grid.414055.1
174 schema:familyName Holdaway
175 schema:givenName Ian M.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051761714.94
177 rdf:type schema:Person
178 sg:person.01207425632.06 schema:affiliation https://www.grid.ac/institutes/grid.9654.e
179 schema:familyName Neave
180 schema:givenName Lorraine M.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207425632.06
182 rdf:type schema:Person
183 sg:person.01231066407.18 schema:affiliation https://www.grid.ac/institutes/grid.9654.e
184 schema:familyName Mason
185 schema:givenName Barbara H.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231066407.18
187 rdf:type schema:Person
188 sg:person.014243773442.33 schema:affiliation https://www.grid.ac/institutes/grid.9654.e
189 schema:familyName Stewart
190 schema:givenName Alistair W.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014243773442.33
192 rdf:type schema:Person
193 sg:person.0670024107.58 schema:affiliation https://www.grid.ac/institutes/grid.9654.e
194 schema:familyName Kay
195 schema:givenName Ronald G.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670024107.58
197 rdf:type schema:Person
198 sg:pub.10.1007/bf01805991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023893588
199 https://doi.org/10.1007/bf01805991
200 rdf:type schema:CreativeWork
201 sg:pub.10.1007/bf01806384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007220061
202 https://doi.org/10.1007/bf01806384
203 rdf:type schema:CreativeWork
204 sg:pub.10.1007/bf01807367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048292006
205 https://doi.org/10.1007/bf01807367
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/bjc.1981.121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007618817
208 https://doi.org/10.1038/bjc.1981.121
209 rdf:type schema:CreativeWork
210 sg:pub.10.1038/bjc.1983.129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053644726
211 https://doi.org/10.1038/bjc.1983.129
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/bjc.1985.104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056443136
214 https://doi.org/10.1038/bjc.1985.104
215 rdf:type schema:CreativeWork
216 https://app.dimensions.ai/details/publication/pub.1077885046 schema:CreativeWork
217 https://app.dimensions.ai/details/publication/pub.1079496564 schema:CreativeWork
218 https://app.dimensions.ai/details/publication/pub.1079507300 schema:CreativeWork
219 https://app.dimensions.ai/details/publication/pub.1079819236 schema:CreativeWork
220 https://app.dimensions.ai/details/publication/pub.1079856009 schema:CreativeWork
221 https://app.dimensions.ai/details/publication/pub.1080078537 schema:CreativeWork
222 https://app.dimensions.ai/details/publication/pub.1081557778 schema:CreativeWork
223 https://app.dimensions.ai/details/publication/pub.1081860927 schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1081991342 schema:CreativeWork
225 https://doi.org/10.1002/1097-0142(19860601)57:11<2217::aid-cncr2820571124>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1027969520
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1002/1097-0142(19880201)61:3<420::aid-cncr2820610303>3.0.co;2-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015485735
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1002/bjs.1800670302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022230232
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1002/ijc.2910220609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031953517
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1002/ijc.2910360504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053052474
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/0014-2964(72)90037-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001463943
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/0277-5379(88)90132-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020780474
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/0895-4356(88)90120-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027404455
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/s0140-6736(87)90593-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046668239
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1056/nejm198608283150906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004906940
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1056/nejm198701293160501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022931253
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1093/ajcn/46.6.905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079478888
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1093/jnci/77.3.613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079763352
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1111/j.1365-2265.1986.tb01641.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007768775
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1136/bmj.2.5973.714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015527923
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1177/030089167906500605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078659727
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1210/endo-110-5-1766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064256409
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1210/jcem-35-4-627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064307907
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1210/jcem-51-3-632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064311305
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1677/joe.0.0960065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046209151
264 rdf:type schema:CreativeWork
265 https://www.grid.ac/institutes/grid.414055.1 schema:alternateName Auckland City Hospital
266 schema:name Department of Endocrinology, Auckland Hospital, Auckland, New Zealand
267 rdf:type schema:Organization
268 https://www.grid.ac/institutes/grid.9654.e schema:alternateName University of Auckland
269 schema:name Department of Community Health, University of Auckland, Auckland, New Zealand
270 Department of Surgery, Auckland Medical School, University of Auckland, Auckland, New Zealand
271 Department of Surgery, University of Auckland, Auckland, New Zealand
272 rdf:type schema:Organization
 




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


...