Literature DB >> 26025931

Molecular Phenotype of Breast Cancer According to Time Since Last Pregnancy in a Large Cohort of Young Women.

Laura C Collins1, Shari Gelber2, Jonathan D Marotti2, Sarah White2, Kathryn Ruddy2, Elena F Brachtel2, Lidia Schapira2, Steven E Come2, Virginia F Borges2, Pepper Schedin2, Ellen Warner2, Taylor Wensley2, Rulla M Tamimi2, Eric P Winer2, Ann H Partridge2.   

Abstract

BACKGROUND: The increase in breast cancer risk during pregnancy and postpartum is well known; however, the molecular phenotype of breast cancers occurring shortly after pregnancy has not been well studied. Given this, we investigated whether nulliparity and the time interval since pregnancy among parous women affects the breast cancer phenotype in young women.
MATERIALS AND METHODS: We examined molecular phenotype in relation to time since pregnancy in a prospective cohort of 707 young women (aged ≤40 years) with breast cancer. Parity was ascertained from study questionnaires. Using tumor histologic grade on central review and biomarker expression, cancers were categorized as luminal A- or B-like, HER2 enriched, and triple negative.
RESULTS: Overall, 32% were luminal A-like, 41% were luminal B-like, 9% were HER2 enriched, and 18% were triple negative. Although, numerically, patients diagnosed >5 years after pregnancy had more luminal A-like subtypes than women with shorter intervals since pregnancy, there was no evidence of a relationship between these intervals and molecular subtypes once family history of breast cancer and age at diagnosis were considered.
CONCLUSION: Distribution of breast cancer molecular phenotype did not differ significantly among young women by parity or time interval since parturition when important predictors of tumor phenotype such as age and family history were considered. IMPLICATIONS FOR PRACTICE: Distribution of breast cancer molecular phenotype did not differ among parous young women by time interval since pregnancy. The implication of these findings for clinical practice suggests that pregnancy-associated breast cancers may be seen up to 5 years beyond parturition. ©AlphaMed Press.

Entities:  

Keywords:  Breast cancer; Molecular phenotypes; Pregnancy-associated breast cancer; Young women

Mesh:

Substances:

Year:  2015        PMID: 26025931      PMCID: PMC4492229          DOI: 10.1634/theoncologist.2014-0412

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  46 in total

1.  Influence of pregnancy on the outcome of breast cancer: a case-control study. Societe Francaise de Senologie et de Pathologie Mammaire Study Group.

Authors:  P Bonnier; S Romain; J M Dilhuydy; F Bonichon; J P Julien; C Charpin; C Lejeune; P M Martin; L Piana
Journal:  Int J Cancer       Date:  1997-09-04       Impact factor: 7.396

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Authors:  C Gajdos; P I Tartter; I J Bleiweiss; C Bodian; S T Brower
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3.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

4.  Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma.

Authors:  Torsten O Nielsen; Forrest D Hsu; Kristin Jensen; Maggie Cheang; Gamze Karaca; Zhiyuan Hu; Tina Hernandez-Boussard; Chad Livasy; Dave Cowan; Lynn Dressler; Lars A Akslen; Joseph Ragaz; Allen M Gown; C Blake Gilks; Matt van de Rijn; Charles M Perou
Journal:  Clin Cancer Res       Date:  2004-08-15       Impact factor: 12.531

5.  Transient increase in the risk of breast cancer after giving birth.

Authors:  M Lambe; C Hsieh; D Trichopoulos; A Ekbom; M Pavia; H O Adami
Journal:  N Engl J Med       Date:  1994-07-07       Impact factor: 91.245

6.  The relation between survival and age at diagnosis in breast cancer.

Authors:  H O Adami; B Malker; L Holmberg; I Persson; B Stone
Journal:  N Engl J Med       Date:  1986-08-28       Impact factor: 91.245

7.  Risk factors for breast cancer according to estrogen and progesterone receptor status.

Authors:  Graham A Colditz; Bernard A Rosner; Wendy Y Chen; Michelle D Holmes; Susan E Hankinson
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8.  Short term increase in risk of breast cancer after full term pregnancy.

Authors:  P Bruzzi; E Negri; C La Vecchia; A Decarli; D Palli; F Parazzini; M R Del Turco
Journal:  BMJ       Date:  1988-10-29

9.  Nurses' health study: log-incidence mathematical model of breast cancer incidence.

Authors:  B Rosner; G A Colditz
Journal:  J Natl Cancer Inst       Date:  1996-03-20       Impact factor: 13.506

10.  Repeated observation of breast tumor subtypes in independent gene expression data sets.

Authors:  Therese Sorlie; Robert Tibshirani; Joel Parker; Trevor Hastie; J S Marron; Andrew Nobel; Shibing Deng; Hilde Johnsen; Robert Pesich; Stephanie Geisler; Janos Demeter; Charles M Perou; Per E Lønning; Patrick O Brown; Anne-Lise Børresen-Dale; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-26       Impact factor: 12.779

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2.  Molecular and Clinical Characterization of Postpartum-Associated Breast Cancer in the Carolina Breast Cancer Study Phase I-III, 1993-2013.

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3.  Breast cancer treatment patterns by age and time since last pregnancy in the Carolina Breast Cancer Study Phase III.

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4.  Triple Targeting of Breast Tumors Driven by Hormonal Receptors and HER2.

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7.  Association Between Postpartum Breast Cancer Diagnosis and Metastasis and the Clinical Features Underlying Risk.

Authors:  Erica T Goddard; Solange Bassale; Troy Schedin; Sonali Jindal; Jeremy Johnston; Ethan Cabral; Emile Latour; Traci R Lyons; Motomi Mori; Pepper J Schedin; Virginia F Borges
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