Introduction
Mammographic density (MD) is one of the strongest determinants of breast cancer (BC) in most ethnic groups. In general population studies, higher MD is consistently associated with a higher BC risk [
1]. Individual variation of MD does not only depend on well-established epidemiologic factors, such as age, parity, menopausal status, external hormonal manipulation or body mass index (BMI), but based on family studies [
2‐
7], it also depends on the as yet unknown genetic background.
Knowledge of the genetic basis of MD could be a major milestone in BC risk prediction and prevention. Previous candidate gene analysis and linkage studies have shown either inconclusive or discordant results to date. In contrast, genome-wide association studies have started to identify some genetic variants that could explain part of the variation in MD [
8]. Furthermore, some of the well-established BC susceptibility variants are also associated with MD variability [
9,
10].
Germline mutations in
BRCA1 and
BRCA2 genes are the most frequent cause of strong genetic predisposition to breast and ovarian cancer. In the last decades, several studies have evaluated whether the mutational status of both genes is associated with differences in MD compared to the general population. Therefore, whereas earlier studies with limited numbers of patients [
11‐
16] had conflicting results, two larger and well-conducted studies compared MD in either affected or healthy
BRCA1/2 mutation carriers [
17] and in mutation carriers versus women with low to average risk [
18]. In one of them, authors proved MD to be an independent risk factor for BC in carriers [
17]. In contrast, findings from a recent study did not reveal any association between baseline MD and subsequent risk of BC among carriers [
19].
In this paper, we aimed to compare MD in Spanish BRCA1/2 mutation carriers and non-carriers and assess the potential impact of MD on subsequent BC risk among carriers according to the mutated gene and pathologic subtype.
Methods
A total of 1,039 women were enrolled from 509 breast and ovarian cancer families who had been counseled and tested for mutations in BRCA1 and BRCA2 genes, from January 1993 to December 2012, and followed up at 16 Cancer Genetic Units in Spain. The study was approved by national and regional Ethics Committees (see Acknowledgments for details) and conducted in compliance with the Helsinki Declaration. All women were older than 18 years and gave written informed consent for the study.
Eligible participants were women from mutation-positive families, including BRCA1/2 mutation carriers and true mutation-negative women. Women diagnosed with BC were considered cases, whereas those individuals with no personal history of BC were regarded as non-cases or controls.
Structured questionnaires collecting baseline information were administered by investigators during either the high-risk breast screening or the post-test visit. Apart from demographic characteristics, data for other covariates were collected, such as the genetic condition, age, weight and height, reproductive history, menopausal status, the use of exogenous hormonal supplements and history of risk-reducing surgery up to the time of the study mammogram. Controls’ weight and height were measured by the investigator at the enrollment visit. Tumor subtype, weight and height at the time of the scored mammogram were extracted from the medical charts of BC patients.
Mammograms were either obtained from the radiological chart or provided by the participants. Due to the retrospective design of our study, we considered density measures from analog and digital mammographic films. For cancer patients, we aimed to collect the earliest mammogram obtained before diagnosis (within a 10-year period and identical menopausal status) and excluded the films from the affected breast. When unavailable, we used the mammogram of the unaffected contralateral breast taken at the time of cancer diagnosis. To make the age of controls at the time of the mammogram more comparable with those of women with BC, we attempted to obtain the latest available mammogram. For each participant, films from craniocaudal and mediolateral oblique views were requested. There were 119 women who either did not have a suitable mammogram (110) or the quality of the film was insufficient (9), rendering a total of 920 individuals for whom the mammogram was available and MD reading was feasible. There were 691 women carrying a deleterious mutation in the BRCA1 or BRCA2 (341 women with BRCA1 and 350 with BRCA2) genes and 229 women were relatives without a mutation.
Breast density was visually assessed by one experienced radiologist, with high intra-observer concordance [
20]. The radiologist was blinded to the diagnosis, the carrier status and the referral centre of the mammogram. MD was classified using the Boyd semiquantitative scale into 6 categories, namely 0 %, <10 %, 10−25 %, 25−50 %, 50−75 % and >75 %. The radiologist provided a single reading per participant, considering the craniocaudal and mediolateral oblique views in both breasts when available. For those breast cancer cases without previous mammography, the two views of the contralateral breast were read.
The association between MD and the carrier status as well as other variables of interest was assessed in healthy women using an ordinal logistic regression model. This procedure results from fitting k-1 logistic regression models, dichotomizing MD into two groups, i.e., high versus low MD, using all possible cutoffs. This model, also known as the proportional odds model, assumes that odds ratios (ORs) remain constant irrespective of the cutoff chosen, but allows the intercepts to differ. The following variables were included as possible confounders: age at mammogram, BMI, menopausal status (premenopause/natural menopause/surgical menopause), parity (nulliparous/parous), type of image (analog/digital) and carrier status (non-carrier,
BRCA1,
BRCA2). The correlation between members of the same family was taken into account using Huber-White robust estimators of variance, considering individuals clustered inside families [
21]. The Brant test was used to verify the proportional odds assumption.
The association between MD and subsequent BC development was evaluated using a logistic regression model, adjusted for age at mammogram, menopausal status (premenopause/natural menopause/surgical menopause), BMI, parity, age at first live birth, use of hormonal replacement therapy (HRT) (never/ever), type of image and time elapsed from mammogram to either BC diagnosis (cases) or end of follow up (non-cases). The consistency of the association between MD and BC was explored performing subgroup analysis in models including MD as a continuous variable and an interaction term between MD and each of the explanatory variables already mentioned. Finally, possible differences in the effect of MD per BC subtype were assessed using a multinomial logistic model, adjusted for the same confounders and considering the following subtypes: 1) hormonal receptor positive (estrogen receptor (ER) or progesterone receptor (PR)) and human epidermal growth factor receptor 2 (HER2) negative, 2) HER2-positive, 3) triple-negative tumors, and 4) unknown subtype. Again, Huber-White robust estimators of variance were used in all instances to take into account the correlation between relatives [
21]. Sensitivity analyses were carried out considering only those cases with mammograms taken 6 months or more before BC diagnosis. All statistical analyses were performed by using the STATA version 12.0 software program (Stata Corp, College Station, TX, USA).
Discussion
In this case-control study of women from high-risk breast cancer families, we confirmed that breast density was an independent risk factor for BC among BRCA1 and BRCA2 mutation carriers. Compared to women with breast density <10 %, those with densities >50 % had at least threefold increased risk of developing a breast tumor. The association between MD and the risk of subsequent BC seemed to be stronger for BRCA2 than for BRCA1 mutation carriers, but the sample size was insufficient to detect statistical differences between them. Our results also confirmed an association between MD and all pathologic BC subgroups. Finally, we found that mutation carriers had lower MD estimations compared to non-carriers and this difference remained significant among BRCA2 mutation carriers.
The role of MD as a risk predictor for BC has relevant implications in screening and preventive interventions, particularly in highly motivated women with a family history of the disease. Our results were consistent with early evidence for the association between BC risk and MD among women from high-risk families [
6,
7] and later findings on
BRCA1 and
BRCA2 mutation carriers [
17,
18], assessed by computerized methods for obtaining quantitative measures of MD. Initial case-control studies evaluating the association between family history, MD and subsequent risk of BC were completed by Martin et al. [
7] in a sample of 2,322 subjects from three Canadian screening programs. In that population, MD explained 14 % of the association between family history and BC risk, being considered an intermediate marker for BC. Moreover, women with breast density >50 % had threefold higher risk of BC than those with <10 % density (95 % CI = 2.17, 4.15). Our OR for carriers with >50 % breast density are in agreement with those previously reported in our country among BC screening attendants, using the same semiquantitative visual scale [
22]. In that study, the risk excess associated with higher MD was similar in women with and without a family history of BC, similar to the findings of the Nurses’ Health Study [
23].
Raising the question of the potential impact of MD on women with a germline mutation in
BRCA1 and
BRCA2 genes, Mitchell et al. evaluated the association between MD and BC risk among 342 women from the EMBRACE study, 206 of whom were
BRCA mutation carriers [
17]. In spite of some methodological differences and a limited sample of participants, their results were comparable to ours. Assessing MD with a semi-automatic tool, the authors estimated the OR for BC among carriers with ≥50 % breast density to be 2.27 (95 % CI = 0.70, 7.39) compared with carriers who had <10 % breast density, while using a qualitative scale (Wolfe’s), the highest density group had a risk excess close to 3 (OR = 2.78) [
17]. In contrast, a recent prospective nested case-control study investigating the same issue in a cohort of 462 BRCA mutation carriers enrolled in a BC screening program failed to confirm this association [
19]. These negative results could be partially explained by facts such as the relatively small sample size and small number of cases, the high proportion of patients with a prior diagnosis and treatment of BC (19 %), the older mean age at the baseline mammogram, and the lack of information on BMI, one of the most important established confounding factors for MD. This confounding effect is particularly relevant when MD is assessed using computer-assisted tools, given the strong correlation between BMI and the non-dense area [
24,
25]. Due to the potential impact of cancer treatment on MD, and similar to the EMBRACE study, we restricted our study to include only women with first diagnosis of BC as cases. Indeed, Passaperuma et al. did not provide information relative to adjuvant cancer therapy, which could have acted as a confounding factor [
19]. In fact, based on the effect of tamoxifen in reducing MD, research has been lately focused on evaluating the potential use of MD variation as a target for identifying women who would benefit from this drug either as preventive or adjuvant therapy [
26‐
28].
Despite initial conflicting results from a small series of patients, two later studies investigating the effect of mutation status on MD patterns have reported similar results. The first study was based on 505 retrospectively obtained mammographic readings from 342 women and found no significant difference in MD between carriers and non-carriers, either as a group or when mutated genes were considered separately [
17]. In fact, the mean density was slightly lower in carriers than non-carriers. A second study compared MD between 143 healthy carriers and 119 women determined to be at low to average risk of BC [
18]. In agreement with our results, the authors also found a marginally lower, albeit not significant, MD among carriers after adjustment for age and BMI. In our study, based on a larger sample size, mutation carriers had lower breast density compared to non-carriers, although this effect was only statistically significant for
BRCA2 mutation carriers.
As regards BC subtypes, previous studies have addressed the association between MD and BC in the general population with inconsistent results [
22,
29‐
32]. Therefore, whereas a few studies have suggested that MD is mainly associated with hormone receptor positive tumors [
32], others have reported a similar [
22,
30] or event stronger association with triple-negative tumors, especially for women aged <55 years [
29]. In addition, and similar to our results in
BRCA1/2 mutation carriers, a recent study in screening participants in Spain proved that high MD was associated with all histologic subtypes of BC [
22].
Our study had several limitations, mostly related to its retrospective nature. Indeed, the heterogeneity of mammograms due to the use of multiple mammographers, the inclusion of both digital and analog images and differences in methodology, such as the subjective visual assessment of breast density and the use of semiquantitative assessments, limit the comparability of our results with other studies. Regarding the use of digital and analog mammograms, density tends to be lower when estimated via digital mammography and most images for BC cases were analog (84 % analog versus 16 % digital). Owing to this, we were able to show a clear effect of MD on BC risk in general and also restricting the analysis to cases and controls with analog images, but no effect was observed using digital mammograms, probably due to the small number of BCs in this category and the fact that only eight of them were classified in the extreme categories. Future studies are needed to confirm these results in mutation carriers studied with digital mammograms. Last, although the plan in original design of our study was to use healthy true negative BRCA1/2 mutation carriers and phenocopies as controls for comparing the effect of MD on cancer risk between carriers and non-carriers, the smaller number of cases in this group did not allow us to accomplish this goal.
The strengths of our study include the fact that this is the largest cohort of women with a
BRCA1/2 mutation and MD data ever published. In spite of being a multicentric study, a single blinded radiologist, who is a highly reputed expert on mammographic reading, with a very high internal consistency [
20], assessed all mammograms using a semiquantitative scale that has proved to be associated with subsequent development of BC [
22]. Finally, restricting the analysis to BC patients with mammograms obtained 6 months before the diagnosis and the adjustment for all known confounders of MD provides compelling support for our results.
Acknowledgements
This work was supported by three research grants, PS09/01006, PS09/01024 and PS09/01721, from Spain’s Health Research Fund (Fondo de Investigación Sanitaria); and a grant from the Spanish Federation of Breast Cancer Patients (Federación Española de Cáncer de Mama) (FECMA 485 EPY 1170–10). The authors also acknowledge the contribution of the Asociación Española contra el Cáncer (AECC), Carlos III Health Institute; RTICC; and the Catalan Health Institute and Autonomous Government of Catalonia (grant numbers: RD06/0020/1051, RD06/0020/1050, RD12/0036/0008, RD12/0036/0031, PI10/01422, PI13/00285, PIE13/00022 and SGR290). This project was approved by the following ethical boards: Comité de Ética de la Investigación y de Bienestar Animal CEIyBA, Instituto de Salud Carlos III; Comité de Ética de la Investigación Clínica Hospital de la Santa Creu y Sant Pau, Barcelona; Comité de Ética de la Investigación Clínica Hospital Universitari de Girona Doctor Josep Trueta, Girona; Comité de Ética de la Fundación INCLIVA, Hospital Clínico Universitario, Valencia; Comité de Ética de la Investigación Clínica del Hospital Universitario 12 de Octubre, Madrid, and Comité de Ética de la Investigación Clínica del Hospital Ramón y Cajal, Madrid.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MP, TRyC, ICh and DST conceived the study and discussed their idea with the other authors, and all of them contributed to the design of the research proposals that provided financial support. JM, VL and DF helped design the questionnaire and were in charge of organizing mammographic readings. TRyC, ICh, AT, AI, JB, ABSH, GLl, EHA, MJJF, IT, LR, CGP, PPS, MSLM, SHP, MS, JB and AB recruited women from BRCA1/2 families and collected the mammograms and information needed together with the pathologic records of BC cases. MP performed the statistical analysis and results were circulated and commented on by all the authors. MP, TRyC and ICh drafted the first version that was critically reviewed by the other authors, who made suggestions on how to improve it. All of them have read and approved the final version of the manuscript.