Literature DB >> 7705944

Perinatal characteristics and adult mammographic patterns.

A Ekbom1, E Thurfjell, C C Hsieh, D Trichopoulos, H O Adami.   

Abstract

We retrieved breast mammograms for 370 women 40 to 74 years old with no history of breast cancer, for whom birth weight, birth length, placental weight and other birth characteristics were indicated in their standard birth records at the Uppsala University Hospital. Blind evaluation of the mammograms allowed these to be classified according to Wolfe's pattern. Logistic regression analysis was applied using as independent variables the recorded birth characteristics and as outcome variable, high risk (P2 and DY) versus low risk (N1 and P1) mammographic parenchymal pattern. After controlling for all the recorded variables, the odds ratio for a high-risk pattern (P2 or DY) increased consistently and significantly (P for trend 0.02) with the weight of the placenta, i.e. the main estrogen-producing organ during pregnancy. There were weak and non-significant positive associations with increasing birth weight (P for trend 0.53) and birth length (P for trend 0.52). These results are compatible with hypotheses suggesting that pregnancy estrogens or other perinatal characteristics may play a risk-modulating role influencing breast cancer in the offspring.

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Year:  1995        PMID: 7705944     DOI: 10.1002/ijc.2910610206

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  12 in total

Review 1.  Establishing a framework for the functional mammary gland: from endocrinology to morphology.

Authors:  Russell C Hovey; Josephine F Trott; Barbara K Vonderhaar
Journal:  J Mammary Gland Biol Neoplasia       Date:  2002-01       Impact factor: 2.673

2.  Size at birth and risk of breast cancer: update from a prospective population-based study.

Authors:  Marie Søfteland Sandvei; Pagona Lagiou; Pål Richard Romundstad; Dimitrios Trichopoulos; Lars Johan Vatten
Journal:  Eur J Epidemiol       Date:  2015-05-31       Impact factor: 8.082

3.  Perinatal characteristics in relation to incidence of and mortality from prostate cancer.

Authors:  A Ekbom; C C Hsieh; L Lipworth; A Wolk; J Pontén; H O Adami; D Trichopoulos
Journal:  BMJ       Date:  1996-08-10

Review 4.  Differentiation and cancer in the mammary gland: shedding light on an old dichotomy.

Authors:  O W Petersen; L Rønnov-Jessen; V M Weaver; M J Bissell
Journal:  Adv Cancer Res       Date:  1998       Impact factor: 6.242

5.  Birth weight as a predictor of breast cancer: a case-control study in Norway.

Authors:  L J Vatten; B O Maehle; T I Lund Nilsen; S Tretli; C-c Hsieh; D Trichopoulos; S O Stuver
Journal:  Br J Cancer       Date:  2002-01-07       Impact factor: 7.640

Review 6.  Towards an integrated model for breast cancer etiology: the crucial role of the number of mammary tissue-specific stem cells.

Authors:  Dimitrios Trichopoulos; Pagona Lagiou; Hans-Olov Adami
Journal:  Breast Cancer Res       Date:  2004-11-05       Impact factor: 6.466

7.  An investigation of soy intake and mammographic characteristics in Hawaii.

Authors:  G Maskarinec; L Meng
Journal:  Breast Cancer Res       Date:  2001-01-05       Impact factor: 6.466

8.  Maternal pregnancy hormone levels in an area with a high incidence (Boston, USA) and in an area with a low incidence (Shanghai, China) of breast cancer.

Authors:  L Lipworth; C C Hsieh; L Wide; A Ekbom; S Z Yu; G P Yu; B Xu; S Hellerstein; K Carlstrom; D Trichopoulos; H O Adami
Journal:  Br J Cancer       Date:  1999-01       Impact factor: 7.640

Review 9.  Mammographic density.

Authors:  Norman F Boyd; Lisa J Martin; Martin Yaffe; Salomon Minkin
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

10.  Life-course body size and perimenopausal mammographic parenchymal patterns in the MRC 1946 British birth cohort.

Authors:  V A McCormack; I dos Santos Silva; B L De Stavola; N Perry; S Vinnicombe; A J Swerdlow; R Hardy; D Kuh
Journal:  Br J Cancer       Date:  2003-09-01       Impact factor: 7.640

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