Literature DB >> 12559045

Intrauterine environment, mammary gland mass and breast cancer risk.

Dimitrios Trichopoulos1.   

Abstract

Two intimately linked hypotheses on breast cancer etiology are described. The main postulate of the first hypothesis is that higher levels of pregnancy estrogens and other hormones favor the generation of a higher number of susceptible stem cells with compromised genomic stability. The second hypothesis postulates that the mammary gland mass, as a correlate of the number of cells susceptible to transformation, is an important determinant of breast cancer risk. A simple integrated etiological model for breast cancer is presented and it is indicated that the model accommodates most epidemiological aspects of breast cancer occurrence and natural history.

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Year:  2002        PMID: 12559045      PMCID: PMC154134          DOI: 10.1186/bcr555

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


Introduction

In the early 1990s, I contributed to the development of two intimately linked hypotheses concerning breast cancer etiology in humans. The first postulated that the intrauterine environment may affect breast cancer risk in the offspring in ways over and beyond those attributed to major breast cancer genes [1]. In the second hypothesis, the argument was made that the number of mammary gland cells, particularly of those among them that are susceptible to transformation, is an important determinant of breast cancer risk [2]. In other words, intrauterine and early life events and conditions could affect the number of mammary gland cells at risk for transformation and, ultimately, breast cancer risk. Neither of these hypotheses was developed in a vacuum. The earlier work of several authors was instrumental, and indeed critical. The striking protective effect on breast cancer risk of an early first full-term pregnancy led Cole and MacMahon to hypothesize that breast cancer risk is established, in part, early in life [3]. Loeb, as well as other investigators, argued that early phenomena, perhaps affecting mutator genes or other factors controlling genetic stability, are crucial in the process of carcinogenesis [4]. Moolgavkar et al. postulated that the magnitude of breast cancer risk depends on the transition rates of normal susceptible cells to intermediate cells and then to transformed cells [5]. Several authors in the late 1980s suggested that energy intake during early life may affect the number of mammary cells, mammary gland mass and, through them, breast cancer risk [6].

Intrauterine environment and breast cancer risk

The hypothesis that breast cancer may have intrauterine component causes is based on a number of generally accepted assumptions. Mammary gland cells in utero are not terminally differentiated. Factors that increase the risk of cancer during adult life, as do exogenous and endogenous estrogens for breast cancer, may have similar effects when they act in utero. Estrogens and other hormones with growth enhancing properties are abundant during pregnancy, and adult life exposures do not fully explain the substantial variability of breast cancer occurrence between and within populations. Simple as it may sound, this hypothesis is very difficult to directly evaluate. The scientific team in Sweden lead by Adami and Ekbom was the first that attempted to evaluate this hypothesis using presumed positive or inverse correlates of pregnancy estrogens, including birth weight and pregnancy toxemia [7]. Pregnancy estrogens have in fact been reported as positively associated with birth weight [8] and inversely associated with pregnancy toxemia [9]. Several authors have subsequently carried out research along these lines. The results up to 1999 have been reviewed by Potischman and Troisi, who concluded that the collective evidence is consistent with the hypothesis that prenatal exposures, notably pregnancy estrogens, are associated with adult life breast cancer risk [10]. More consistent was the evidence concerning the positive association between birth weight and breast cancer risk in the offspring. Vatten et al. have since reported a positive association from Norway [11]. It should be noted that a link between perinatal factors and breast cancer risk in the offspring does not necessarily or exclusively incriminate pregnancy estrogens, despite the role of the latter as an important determinant of several of these factors, including birth weight. In addition to pregnancy estrogens [8], insulin-like growth factor 1 has been positively associated with birth weight [12] and there is also evidence that alpha fetoprotein may play a role [13]. Nevertheless, among all factors that are associated with birth weight and other perinatal events and conditions linked to breast cancer risk in the offspring, the inherently mammotropic pregnancy estrogens are the most likely candidates, although by no means the only ones [14]. Indeed, a cohort study comparing women exposed in utero to diethylstilbestrol with unexposed women reported a greater than twofold increase in breast cancer risk [15]. This is an ongoing study of a unique cohort, and the women involved have not yet reached the age of high breast cancer incidence. If the results of further followup are in line with those recently reported [15], it will be difficult to argue against the hypothesis that high in utero estrogenic stimulation increases breast cancer risk in the offspring.

Mammary gland mass and breast cancer risk

With respect to mammary gland mass, as distinct from breast size, the empirical evidence linking it to breast cancer risk is very strong. Mammographic density is a powerful predictor of breast cancer risk and this density is strongly associated with mammary gland mass, although the stromal component is also likely to play an important role [16-19]. Small-breasted women who were motivated to have augmentation mammoplasty, and whose mammary gland mass had to be small, were found to have reduced breast cancer risk [20,21], although no reduction was evident in a small cohort study that included eight breast cancer cases [22]. Moreover, women who had undergone surgical reduction of their breasts subsequently had reduced breast cancer risk [23-26]. Mammary gland mass, which reflects the total number of mammary cells and can be correlated with mammary cells at risk for transformation, can also explain several of the descriptive aspects of breast cancer epidemiology. One example is breast cancer risk being higher among Caucasian women than among Asian women and being positively associated with adult height [2,23]. Large breast size mostly reflects adipose tissue but, among thin women, breast size may be a better indicator of mammary gland mass and has been positively associated with breast cancer risk [27,28]. The number of mammary gland cells at risk for transformation, and thus breast cancer risk, is reduced through the process of terminal differentiation that takes place mostly after the occurrence of the first full-term pregnancy and, to some extent, after the occurrence of subsequent pregnancies and lactation [23,29,30]. Moreover, cells at risk or at intermediate stages of transformation may be more or less responsive to the growth enhancing influences of estrogens and other mammotropic hormones, depending on the density of the respective receptors in the nonmalignant tissue. In this context, it may be of relevance that expression of estrogen receptors α has been found to be less common among Japanese women than among Caucasian women [31].

Conclusion

We have tried to integrate the existing information on breast cancer epidemiology and apparent pathogenesis into an etiological model that incorporates the two presented hypotheses and the data that support them [23]. The model has four components. First, the likelihood of breast cancer occurrence depends on the number of cells at risk and, second, the number of target cells is partially determined early in life, probably even in utero. The third component is that, while a pregnancy stimulates the replication of already initiated cells, it conveys long-term protection through structural changes, including terminal cellular differentiation. Finally, in adult life, mammotropic hormones, in conjunction with their receptors, affect the likelihood of retention of spontaneous somatic mutations and the rate of expansion of initiated clones. This composite, yet simple, model accommodates most, if not all, epidemiological aspects of breast cancer occurrence and natural history. These include the secular increase of breast cancer incidence during the early part of last century, the higher risk for this disease among higher socioeconomic class women in most countries of the world, as well as the gradual increase of breast cancer incidence among Asian migrants to Western countries. All these patterns reflect concomitant changes in birth size, adult birth height and breast cancer risk. The model also accommodates the effectiveness of prophylactic mastectomy among women at very high risk on the basis of reduction of mammary gland mass [23,32].
  32 in total

Review 1.  Mammographic densities and breast cancer risk.

Authors:  N F Boyd; G A Lockwood; J W Byng; D L Tritchler; M J Yaffe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1998-12       Impact factor: 4.254

Review 2.  Towards an understanding of breast cancer etiology.

Authors:  H O Adami; L B Signorello; D Trichopoulos
Journal:  Semin Cancer Biol       Date:  1998-08       Impact factor: 15.707

3.  In-utero and early life exposures in relation to risk of breast cancer.

Authors:  N Potischman; R Troisi
Journal:  Cancer Causes Control       Date:  1999-12       Impact factor: 2.506

4.  Low oestrogen receptor alpha expression in normal breast tissue underlies low breast cancer incidence in Japan.

Authors:  J S Lawson; A S Field; S Champion; D Tran; H Ishikura; D Trichopoulos
Journal:  Lancet       Date:  1999-11-20       Impact factor: 79.321

Review 5.  Preeclampsia and breast cancer risk.

Authors:  K E Innes; T E Byers
Journal:  Epidemiology       Date:  1999-11       Impact factor: 4.822

6.  Life expectancy gains from cancer prevention strategies for women with breast cancer and BRCA1 or BRCA2 mutations.

Authors:  D Schrag; K M Kuntz; J E Garber; J C Weeks
Journal:  JAMA       Date:  2000-02-02       Impact factor: 56.272

7.  Maternal pregnancy estriol levels in relation to anamnestic and fetal anthropometric data.

Authors:  M Kaijser; F Granath; G Jacobsen; S Cnattingius; A Ekbom
Journal:  Epidemiology       Date:  2000-05       Impact factor: 4.822

8.  Plasma insulin-like growth factor (IGF) I, IGF-binding protein 3, and mammographic density.

Authors:  C Byrne; G A Colditz; W C Willett; F E Speizer; M Pollak; S E Hankinson
Journal:  Cancer Res       Date:  2000-07-15       Impact factor: 12.701

9.  A cohort study of breast cancer risk in breast reduction patients.

Authors:  M H Brown; M Weinberg; N Chong; R Levine; E Holowaty
Journal:  Plast Reconstr Surg       Date:  1999-05       Impact factor: 4.730

10.  Breast cancer following breast reduction surgery in Sweden.

Authors:  J D Boice; I Persson; L A Brinton; M Hober; J K McLaughlin; W J Blot; J F Fraumeni; O Nyrén
Journal:  Plast Reconstr Surg       Date:  2000-09       Impact factor: 4.730

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  12 in total

Review 1.  Fetal origins of adult disease.

Authors:  Kara Calkins; Sherin U Devaskar
Journal:  Curr Probl Pediatr Adolesc Health Care       Date:  2011-07

2.  Lifelong socioeconomic trajectory and premature mortality (35-65 years) in France: findings from the GAZEL Cohort Study.

Authors:  M Melchior; L F Berkman; I Kawachi; N Krieger; M Zins; S Bonenfant; M Goldberg
Journal:  J Epidemiol Community Health       Date:  2006-11       Impact factor: 3.710

3.  Perinatal factors, female breast cancer, and associated risk factors in Puerto Rico: evidence from the Atabey epidemiology of breast cancer study.

Authors:  Lindsey J Mattick; Cruz M Nazario; Rosa V Rosario-Rosado; Michelle Schelske-Santos; Imar Mansilla-Rivera; Farah A Ramírez-Marrero; Jing Nie; Jo L Freudenheim
Journal:  Cancer Causes Control       Date:  2022-01-09       Impact factor: 2.506

Review 4.  Do myoepithelial cells hold the key for breast tumor progression?

Authors:  Kornelia Polyak; Min Hu
Journal:  J Mammary Gland Biol Neoplasia       Date:  2005-07       Impact factor: 2.698

Review 5.  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

Review 6.  Radiation and breast cancer: a review of current evidence.

Authors:  Cécile M Ronckers; Christine A Erdmann; Charles E Land
Journal:  Breast Cancer Res       Date:  2004-11-23       Impact factor: 6.466

7.  Birth weight is associated with postmenopausal breast cancer risk in Swedish women.

Authors:  P H Lahmann; B Gullberg; H Olsson; H Boeing; G Berglund; L Lissner
Journal:  Br J Cancer       Date:  2004-11-01       Impact factor: 7.640

Review 8.  Intrauterine environments and breast cancer risk: meta-analysis and systematic review.

Authors:  Sue Kyung Park; Daehee Kang; Katherine A McGlynn; Montserrat Garcia-Closas; Yeonju Kim; Keun Young Yoo; Louise A Brinton
Journal:  Breast Cancer Res       Date:  2008-01-21       Impact factor: 6.466

9.  Is the association of birth weight with premenopausal breast cancer risk mediated through childhood growth?

Authors:  I dos Santos Silva; B L De Stavola; R J Hardy; D J Kuh; V A McCormack; M E J Wadsworth
Journal:  Br J Cancer       Date:  2004-08-02       Impact factor: 7.640

10.  Birth size and breast cancer risk: re-analysis of individual participant data from 32 studies.

Authors:  Isabel dos Santos Silva; Bianca De Stavola; Valerie McCormack
Journal:  PLoS Med       Date:  2008-09-30       Impact factor: 11.069

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