Literature DB >> 19296215

No evidence of familial correlation in breast cancer metastasis.

Alice S Whittemore1, Beth Stearman, Vickie Venne, Jerry Halpern, Anna Felberg, Valerie McGuire, Mary Daly, Saundra S Buys.   

Abstract

Animal experiments support the hypothesis that the metastatic potential of breast cancer is a heritable trait of the host. Our objective was to evaluate correlations in metastasis occurrence in large families with multiple cases of breast cancer. We evaluated correlation among pairs of relatives in the occurrence and timing of distant metastasis using retrospective cohort data from 743 female breast cancer patients in 242 families. We adjusted for correlation in their age at diagnosis, year of diagnosis, educational level, lymph node involvement, and estrogen receptor status. Distant metastasis occurred in 255 patients (34.3%) during mean followup of 11.7 years. None of the correlation coefficients for metastasis in blood relatives differed significantly from zero. The estimated correlation coefficient in first-degree relatives was -0.03 (95% confidence interval -0.11 to 0.06). These findings suggest that a family history of metastatic breast cancer does not contribute substantially to risk of metastasis for breast cancer patients.

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Year:  2009        PMID: 19296215      PMCID: PMC2783315          DOI: 10.1007/s10549-009-0368-3

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  25 in total

1.  ABCB1 and GST polymorphisms associated with TP53 status in breast cancer.

Authors:  Silje H Nordgard; Marylyn D Ritchie; Sigrid D Jensrud; Alison A Motsinger; Grethe I G Alnaes; Gordon Lemmon; Marianne Berg; Stephanie Geisler; Jason H Moore; Per Eystein Lønning; Anne-Lise Børresen-Dale; Vessela N Kristensen
Journal:  Pharmacogenet Genomics       Date:  2007-02       Impact factor: 2.089

2.  A long-term follow-up study of survival in stage I (T1N0M0) and stage II (T1N1M0) breast carcinoma.

Authors:  P R Rosen; S Groshen; P E Saigo; D W Kinne; S Hellman
Journal:  J Clin Oncol       Date:  1989-03       Impact factor: 44.544

3.  Separating favorable from unfavorable prognostic markers in breast cancer: the role of E-cadherin.

Authors:  R Heimann; F Lan; R McBride; S Hellman
Journal:  Cancer Res       Date:  2000-01-15       Impact factor: 12.701

4.  Bromodomain 4 activation predicts breast cancer survival.

Authors:  Nigel P S Crawford; Jude Alsarraj; Luanne Lukes; Renard C Walker; Jennifer S Officewala; Howard H Yang; Maxwell P Lee; Keiko Ozato; Kent W Hunter
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-21       Impact factor: 11.205

5.  Occult axillary node metastases in breast cancer are prognostically significant: results in 368 node-negative patients with 20-year follow-up.

Authors:  Lee K Tan; Dilip Giri; Amanda J Hummer; Katherine S Panageas; Edi Brogi; Larry Norton; Clifford Hudis; Patrick I Borgen; Hiram S Cody
Journal:  J Clin Oncol       Date:  2008-03-10       Impact factor: 44.544

Review 6.  Preclinical models for the evaluation of targeted therapies of metastatic disease.

Authors:  S A Eccles; G Box; W Court; J Sandle; C J Dean
Journal:  Cell Biophys       Date:  1994

7.  Influence of socioeconomic factors on survival after breast cancer--a nationwide cohort study of women diagnosed with breast cancer in Denmark 1983-1999.

Authors:  Susanne Oksbjerg Dalton; Lone Ross; Maria Düring; Kathrine Carlsen; Preben Bo Mortensen; John Lynch; Christoffer Johansen
Journal:  Int J Cancer       Date:  2007-12-01       Impact factor: 7.396

8.  Common germline genetic variation in antioxidant defense genes and survival after diagnosis of breast cancer.

Authors:  Miriam Udler; Ana-Teresa Maia; Arancha Cebrian; Clement Brown; David Greenberg; Mitul Shah; Carlos Caldas; Alison Dunning; Douglas Easton; Bruce Ponder; Paul Pharoah
Journal:  J Clin Oncol       Date:  2007-07-20       Impact factor: 44.544

9.  Identification of inbred mouse strains harboring genetic modifiers of mammary tumor age of onset and metastatic progression.

Authors:  T Lifsted; T Le Voyer; M Williams; W Muller; A Klein-Szanto; K H Buetow; K W Hunter
Journal:  Int J Cancer       Date:  1998-08-12       Impact factor: 7.396

10.  Importance of TP53 codon 72 and intron 3 duplication 16bp polymorphisms in prediction of susceptibility on breast cancer.

Authors:  Sandra Costa; Daniela Pinto; Deolinda Pereira; Helena Rodrigues; Jorge Cameselle-Teijeiro; Rui Medeiros; Fernando Schmitt
Journal:  BMC Cancer       Date:  2008-01-29       Impact factor: 4.430

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