Soy protein containing isoflavones and mammographic density in a randomized controlled trial in postmenopausal women

BACKGROUND: The relatively high dietary intake of soy in Asian countries has been hypothesized to, at least partly, explain the lower breast cancer incidence patterns in these countries compared with the Western world. The aim of the present study was to determine the effect of daily soy supplementation on mammographic density, one of the strongest known risk factors for breast cancer. METHODS: A double-blind, randomized, controlled trial was conducted to compare the effects of soy protein intake containing 99 mg isoflavones daily with intake of milk protein (placebo) for the duration of 1 year. Two hundred and two Dutch postmenopausal women ages 60 to 75 years were randomized. Mammographic density was assessed using a quantitative computer-assisted method on digitized mammograms. Equol producer status was assessed in plasma provided at the final visit (soy group) or after a 3-day challenge with soy after the trial was finished (placebo group). RESULTS: A total of 175 women completed the baseline visits and at least one follow-up visit and were included in the intention-to-treat analyses. For 126 women, both pre- and post-trial mammograms were available. Mammographic density decreased in both study arms, but the decrease did not differ significantly between intervention and placebo groups. Equol producer status did not modify the results. CONCLUSION: The results of this trial do not support the hypothesis that a diet high in soy protein among postmenopausal women decreases mammographic density.     

Department of Defense Era of Hope Meeting, Orlando, Florida, USA, 25–28 September 2002

Isoflavones possess both estrogenic and anti-estrogenic actions, and are hypothesized to protect against breast cancer. However, two intervention studies of markers of proliferation on breast tissue have raised concerns that soy isoflavones may have an estrogenic effect on breast tissue. Increased mammographic breast density is associated with an elevated risk of breast cancer, although the mechanism underlying this relationship has not been explained. Estrogens increase and anti-estrogens decrease breast density. Breast density may therefore serve as a biomarker of estrogenic or anti-estrogenic effects of a treatment on breast tissue. The effect of isoflavones on breast density is under investigation.     

Digitized mammography: a clinical trial of postmenopausal women randomly assigned to receive raloxifene, estrogen, or placebo

BACKGROUND: High mammographic density is associated with increased breast cancer risk. Previous studies have shown that estrogens increase breast density on mammograms, but the effect on mammographic density of selective estrogen receptor modulators, such as raloxifene, is unknown. We assessed changes in mammographic density among women receiving placebo, raloxifene, or conjugated equine estrogens in an osteoporosis prevention trial. METHODS: In a 5-year multicenter, double-blind, randomized, placebo-controlled osteoporosis prevention trial, healthy postmenopausal women who had undergone hysterectomy less than 15 years before the study and had no history of breast cancer received placebo, raloxifene (at one of two doses), or conjugated estrogens (ERT). Women from English-speaking investigative sites who had baseline and 2-year craniocaudal mammograms with comparable positioning (n = 168) were eligible for this analysis. Changes in mammographic density were determined by digital scanning and computer-assisted segmentation of mammograms and were analyzed with the use of analysis of variance. All statistical tests were two-sided. RESULTS: Among the four treatment groups after 2 years on study, the mean breast density (craniocaudal view) was statistically significantly greater in the ERT group than it was in the other three groups (P<0.01 for all three comparisons). Within treatment groups, the mean breast density from baseline to 2 years decreased statistically significantly in women receiving the placebo or either the higher or lower raloxifene dose (P = 0.003, P = 0.002, and P<0.001, respectively) and showed a nonstatistically significant increase in women receiving ERT. CONCLUSIONS: In an osteoporosis prevention trial, raloxifene did not increase breast density after 2 years of treatment. Raloxifene administration should not interfere with, and could even enhance, mammographic detection of new breast cancers.     

Secular stability and reliability of measurements of the percentage of dense tissue on mammograms

Elevated mammographic density is associated with increased risk of breast cancer. We conducted a reliability study on mammographic density assessments to determine their potential usefulness for projecting individual breast cancer risk. We used baseline screening mammograms from 7251 women in the Breast Cancer Detection Demonstration Project (BCDDP). Repeated measurements from the same images were used to assess measurement variability by an experienced evaluator. Intraclass correlations of assessments over time usually exceeded 0.9, indicating usefulness for prospective applications. Data also indicated it may be reasonable to include cases identified in the first year of screening together with other cases in developing a risk model. Older ages and increased weight were associated with decreased mammographic density. The density of the right breast slightly exceeded that of the left. Among women who developed breast cancer, the baseline mammographic density of the ipsilateral (diseased) breast was 0.53 (95% confidence interval (CI) 0.20-0.86) percentage units higher than in the contralateral breast.     

Effect of tamoxifen on mammographic density.

There are strong data showing that increased breast cancer risk is associated with increased mammographic density. Tamoxifen has been shown to decrease the risk of invasive breast cancer and decrease breast density. We sought to demonstrate and calculate the extent of change in mammographic density in women who have taken tamoxifen for up to 2 years. We evaluated mammograms from 28 high-risk women who were taking tamoxifen. Four different methods of evaluation were used: (a) two qualitative methods (Wolfe criteria and the American College of Radiology Breast Imaging and Reporting Data System criteria); (b) one semiquantitative method (mammograms were assigned one of five semiquantitative scores by visual inspection); and (c) one quantitative method (computer-aided calculation of fibroglandular area from digitized mammograms). The Wolfe criteria showed a 0.03 category decrease per year (P = 0.50). The American College of Radiology Breast Imaging and Reporting Data System criteria showed a 0.1 category decrease per year (P = 0.12). Semiquantitative criteria showed a 0.2 category decrease per year (P = 0.039). Digitized scores showed a 4.3% decrease per year (P = 0.0007). In conclusion, tamoxifen causes a decrease in mammographic density with use, an effect that is better quantitated with semiquantitative criteria or digitized images. Density change might become useful as a surrogate end point for the effect of tamoxifen and other chemopreventive measures, although our data do not predict an individual's degree of risk reduction.     

A randomized isoflavone intervention among premenopausal women.

Isoflavones, phytoestrogens contained in soy foods, may play a role in breast cancer prevention. This randomized double-blinded trial with 34 premenopausal women investigated whether 100 mg of isoflavones per day versus placebo affects the ovulatory cycle during 1 year. Compliance with the study regimen was confirmed by the increase of urinary isoflavone excretion among the intervention group. Blood samples were taken 5 days after ovulation as determined by an ovulation kit, at baseline, and at months 1, 3, 6, and 12. Serum levels of estrone, estradiol, estrone sulfate, progesterone, sex hormone-binding globulin, follicle-stimulating hormone, and luteinizing hormone were quantified by immunoassay; free estradiol was calculated. We applied the method of least squares to fit general linear models to test for an intervention effect while taking into account the repeated measurement design. Except for a small difference in age, the two groups were comparable at baseline. Menstrual cycle length did not change significantly during the intervention [F(1,32) = 0.69; P = 0.44]. During 1 year, we did not observe any significant changes in hormone levels by treatment group. The difference in change between intervention and control group was -13.0 pg/ml (95% confidence interval, -57.5 to 31.5) for estradiol and 6.9 pg/ml (95% confidence interval, -17.8 to 31.5) for estrone. Exclusion of 22 non-ovulatory cycles, noncompliant women, or non-Asian women did not affect the results. These findings do not support the hypothesis that isoflavones affect the ovulatory cycles of premenopausal women over a 1-year period. However, isoflavones alone may have different effects on the reproductive cycle than isoflavones present in soy foods.     

Comparison of mammographic densities and their determinants in women from Japan and Hawaii

Breast cancer incidence increases considerably in women who migrate from Japan to the United States. Based on the hypothesis that mammographic density in healthy mammograms reflects differences in breast cancer risk, we compared mammographic density in 3 groups of women at different levels of risk: Caucasian and Japanese women in Hawaii and Japanese women in Japan. In a cross-sectional design, pre- and postmenopausal women without a history of breast cancer and with a mammogram free of suspicious lesions were recruited in mammography clinics and completed a self-administered questionnaire. Cranio-caudal mammograms were scanned into a computer and the densities measured using a computer-assisted method. Statistical analyses included ANOVA and multiple linear regression. Breast size among women of Japanese ancestry was similar in Hawaii and Japan but 50% smaller than that among Caucasian women. Dense areas were smallest among women in Japan, intermediate among Japanese women in Hawaii and largest among Caucasian women. Percent densities were greater in Japanese women than Caucasian women because of the larger breast sizes in Caucasians. However, percent densities were significantly higher among Japanese women in Hawaii than in Japan. These results indicate that the size of the total breast differs primarily by ethnicity and the size of the dense areas differs mainly by place of residence. Therefore, when comparing ethnic groups with distinct physical proportions, the absolute size of the dense areas appears to be a better measure of breast cancer risk than the relative density.     

Case-control study of increased mammographic breast density response to hormone replacement therapy.

Previous studies have demonstrated an association between current hormone replacement therapy (HRT) use and increased mammographic breast density. Many of these studies have also shown that only 20-35% of women initiating HRT respond in this manner. This subgroup of HRT responders may be at an increased risk of breast cancer. We performed a case-control study to investigate how women who experience increased density in response to HRT (cases) differ from women who do not experience an increase in density with HRT use (controls) with regard to breast cancer risk factors, type of HRT, weight change, and baseline breast density. Participants were female residents of Olmsted County, Minnesota who received routine screening mammograms at the Mayo Clinic. Cases included 172 women identified between the years 1998 and 1999 by Mayo radiologists as having a HRT response. Controls were women who did not experience an increase in mammographic density with HRT use and were matched to cases on age (+/-3 years), menopausal status, duration of HRT, month of initiation of HRT, and months between baseline and follow-up mammograms. Mammograms were obtained from cases and controls before and during HRT therapy. Breast density was read as a four-category Bi-Rads density grade measure and as a quantitative percentage estimate, using a computer-assisted method. Risk factor information was obtained from both chart review and a mammography database of patient-provided information. There was no association between HRT response and first-degree family history of breast cancer [odds ratio (OR), 0.8; 95% confidence interval (CI), 0.4-1.5], parity (OR, 0.8; 95% CI, 0.4-1.7), later age at first birth (OR, 0.8 for age >25 years versus nulliparous women; 95% CI, 0.4-1.8), or history of biopsy (OR, 0.9; 95% CI, 0.6-1.5). There was also no association with baseline weight or change in weight between a woman's baseline and follow-up mammograms. However, there was evidence of an association between HRT response and type of HRT used; women who experienced a mammographic increase in density with HRT had 2.3 greater odds (95% CI, 1.4-3.7) of having taken estrogen-progestin combined therapy than estrogen alone, compared with controls. This association was stronger among women with a baseline weight below the median (OR, 5.2; 95% CI, 1.6-17.6). Also, there was an inverse association between HRT response and baseline density. Because all risk factors examined accounted for only 26% of the variation in the HRT response, genes or other unmeasured factors are thought to be involved.     

Does breast size modify the association between mammographic density and breast cancer risk?

BACKGROUND: Both the absolute and the percent of mammographic density are strong and independent risk factors for breast cancer. Previously, we showed that the association between mammographic density and breast cancer risk tended to be weaker in African American than in White U.S. women. Because African American women have a larger breast size, we assessed whether the association between mammographic density and breast cancer was less apparent in large than in small breasts. METHODS: We assessed mammographic density on mammograms from 348 African American and 507 White women, 479 breast cancer patients and 376 control subjects, from a case-control study conducted in Los Angeles County. We estimated odds ratios (OR) for breast cancer with increasing mammographic density, and the analyses were stratified by mammographic breast area. RESULTS: Median breast size was 168.4 cm2 in African American women and 121.7 cm2 in White women (P for difference <0.001). For absolute density, adjusted ORs (95% confidence intervals) per increase of 10 cm2 were 1.32 (1.13-1.54), 1.14 (1.03-1.26), and 1.02 (0.98-1.07) in the first, second, and third tertiles of breast area, respectively (P for effect modification by breast area = 0.005). The results for percent density were similar although weaker; adjusted ORs per 10% increase (absolute value) in percent density were 1.22 (1.05-1.40), 1.22 (1.06-1.41), and 1.03 (0.90-1.18 P for effect modification by breast area = 0.34). CONCLUSION: Our results indicate that the association between mammographic density and breast cancer may be weaker in women with larger breasts.     

A randomized,placebo-controlled trial (NCIC CTG MAP1) examining the effects of letrozole on mammographic breast density and other end organs in postmenopausal women

Mammographically detected breast density has been correlated with breast cancer risk. Breast density appears to be influenced by hormonal factors including increasing age, postmenopausal status, number of pregnancies, lower body weight, hormone replacement therapy, and tamoxifen therapy. The aromatase inhibitor letrozole profoundly reduces breast and circulating estrogen levels in postmenopausal women. We hypothesize that letrozole may reduce breast density and report here on its effects on mammographic breast density, bone mineral density (BMD), bone biomarkers, plasma hormone, and serum lipid levels. MAP1 was a multicenter, randomized, double-blind, placebo-controlled, feasibility trial in which postmenopausal women with or without prior invasive breast cancer were randomized in a 2:1 ratio of letrozole (2.5 mg daily) or placebo for 12 months and followed for a total of 24 months. Eligible women had an estimated >25% breast density on baseline mammogram. The primary endpoint was change in percent breast density (PD) between the baseline and 12-month mammograms as estimated by a computer-assisted thresholding program. Baseline and 12-month mammographic density was also assessed in a blinded manner by visual inspection. Secondary endpoints included changes in serum hormones, plasma lipid levels, bone biomarkers, and BMD. Data are available for 67 women (44 on letrozole and 23 on placebo). No significant changes in PD were noted between the treatment arms at either 12 or 24 months. No distinguishable difference in density measurements by visual inspection were noted between baseline and 12-month mammograms. A significant decrease in percentage change in T-score of the femoral neck at 12 months was noted in the letrozole arm without other significant changes in BMD parameters. Lipid values did not differ between treatment groups except for a borderline significant decrease in total cholesterol at 3 months among women treated with letrozole. Letrozole therapy was associated with a significant reduction in mean serum estradiol, estrone, and estrone sulfate levels at 12 months, but not at 24 months. A significant increase in serum IGF-1 levels was also noted in the letrozole group compared to the placebo group at both 12 and 24 months. To conclude, compared with placebo, 12 months of letrozole therapy does not appear to have a significant effect on mammographic PD. Twelve months of letrozole was associated with a decrease of uncertain clinical significance in the T-score of the femoral neck at 12 months which was reversible at 24 months with recovery of estrogen levels. Letrozole therapy was found to increase IGF-1 levels at 12 and 24 months.     

Nonsteroidal anti-inflammatory drugs (NSAIDs) and mammographic density

Mammographic density has been established as a strong risk factor for breast cancer while use of Nonsteroidal Anti-Inflammatory Drugs (NSAIDs) has been associated with a reduction in risk of breast cancer. The hypothesis is that NSAIDs reverses the expression of prostaglandin E₂, thereby reducing the local production of estrogens. This report describes the differences in mammographic densities by duration of NSAID use in a multiethnic population. Information for this analysis was available from two previous investigations: a nutritional intervention study with 218 women and a nested case-control study of breast density with 1274 women. On the basis of self-reported medication use from a questionnaire common to both investigations, women were categorized into no use, up to 1 year, 2–5 years, 6–10 years, and 11+ years. Screening mammograms were assessed for density using a computer-assisted method. We applied general linear models to calculate mean percent densities for each medication use category while adjusting for covariates. The analysis of the overall study population did not show a significant association between total NSAID use and mammographic density. Contrary to our hypothesis, women with long-term total NSAID use had non-significantly higher densities than non-users. In addition, the results differed by menopausal status. Whereas the trend of higher densities with longer duration of total NSAID use was significant among postmenopausal women, breast density was slightly lower among premenopausal women with long-term NSAID use. Experimental studies need to be performed to study the effect, if any, of NSAID use on breast density.     

Effect of a low-fat,high-carbohydrate dietary intervention on change in mammographic density over menopause

We have previously shown that a low-fat dietary intervention for 2 years in women with extensive mammographic density decreased mammographic density to a greater extent than in the control group. Post-hoc analysis indicated that this effect was strongest in women who became postmenopausal during the follow-up period. The purpose of the present study was to determine if this potentially important finding could be confirmed in a new and larger group of subjects with a longer follow-up time. Participants in a low-fat dietary intervention trial who were premenopausal at entry and became postmenopausal during follow-up were examined. Total breast, dense, and non-dense area and percent density were measured in baseline and postmenopause mammograms using a computer-assisted method. Total breast and non dense area increased more in the control group compared to the intervention group (for breast area 2.6 and 0.2 cm², respectively; P = 0.05, and for non-dense area 10.9 and 8.1 cm², respectively; P = 0.06). Dense area decreased to a similar degree in both groups (−8.2 and −8.0 cm², respectively; P = 0.84). Percent density decreased to a slightly greater degree in the control compared to intervention group (−9.4 and −7.8%, respectively, P = 0.11). There were no significant differences between study groups after adjustment for weight change. Menopause reduced density to a similar extent in the low-fat diet and control groups. If a low-fat diet reduces breast cancer risk, the effect is unlikely to be through changes in mammographic density at menopause.     

Mammographic density and breast cancer in three ethnic groups.

The extent of radiodense tissue on a mammogram (mammographic densities) is strongly associated with breast cancer risk among (non-Latina) white women, but few data exist for African-American and Asian-American women. We collected prediagnostic mammograms from 622 breast cancer patients and 443 control subjects ages 35-64 years from three different ethnic groups (whites, African Americans, and Asian Americans) who participated as cases and controls in one of two ongoing breast cancer studies. Percent and absolute mammographic density were assessed using a previously validated computer-assisted method. In all three ethnic groups combined, breast cancer risk increased with increasing percent mammographic density. After adjustment for ethnicity, age, body mass index, age at menarche, breast cancer family history, age at and number of full-term pregnancies, menopausal status, and hormone replacement therapy use, women with the highest percent density had 5-fold greater breast cancer risk than women with no density (P(trend) = 0.0001). The impact of percent density on risk was stronger for older than for younger women (>/=50 versus <50 years; P = 0.05). Risk estimates did not differ significantly by ethnicity, with breast cancer risk (95% confidence interval) increasing 15% (4-27%) in whites, 30% (5-61%) in Asian Americans, and 11% (-2-26%) in African Americans for each 10% increase in density. The trends were similar for absolute density. Our results confirm that increases in computer-assisted mammographic density measurements are associated with a strong gradient in breast cancer risk. Furthermore, our findings suggest that mammographic density is as strong a predictor of risk for African-American and Asian-American women as for white women.     

Mammographic density in relation to daidzein-metabolizing phenotypes in overweight, postmenopausal women.

Circulating hormones are associated with mammographic density, an intermediate marker of breast cancer risk. Differences in circulating hormones, including estrone and testosterone, have been observed in premenopausal women based on their capacity to metabolize daidzein, an isoflavone found predominantly in soybeans. Equol and O-desmethylangolensin (O-DMA) are products of intestinal bacterial metabolism of daidzein. There is interindividual variability in the capacity to produce daidzein metabolites; individuals can be equol producers or non-producers and O-DMA producers or non-producers. We tested the hypothesis that daidzein-metabolizing phenotypes are associated with mammographic density. Participants were recruited from among 92 sedentary, postmenopausal women, ages 50 to 75 years, who participated in a 1-year physical activity intervention. Pre-intervention mammographic density was determined using a computer-assisted, gray-scale thresholding technique. Fifty-five of these women consumed supplemental soy protein (>10 mg daidzein/d) for 3 days and collected a first-void urine sample on the fourth day to determine daidzein-metabolizing phenotypes. Equol and O-DMA concentrations were measured using gas chromatography-mass spectrometry. Associations between daidzein-metabolizing phenotypes and percent mammographic density were adjusted for age, maximum adult weight, gravidity, family history of breast cancer, and serum follicle-stimulating hormone and free testosterone concentrations. Mammographic density was 39% lower in equol producers compared with non-producers (P = 0.04). O-DMA producers had mammographic density 69% greater than non-producers (P = 0.05). These results suggest that particular intestinal bacterial profiles are associated with postmenopausal mammographic density, and these associations are not entirely explained by differences in reproductive or anthropometric characteristics or circulating hormones.     

Frequency and predictive value of a mammographic recommendation for short-interval follow-up

BACKGROUND: A recommendation for short-interval follow-up of "probably benign finding" is associated with up to 11% of screening mammograms, but its predictive value for breast cancer is unclear. We examined the predictive values (i.e., the percentage of women with a diagnosis of breast cancer 2 years after a short-interval follow-up recommendation) and likelihood ratios (derived from the pretest and post-test odds of breast cancer in the Women's Health Initiative sample) for breast cancer that are associated with a recommendation for short-interval follow-up among postmenopausal women. METHODS: We performed a longitudinal analysis of a prospective cohort of 68 126 postmenopausal women (aged 50-79 years) who were participating in clinical trials as part of the Women's Health Initiative at 40 centers across the United States. Eligible participants had screening mammograms at baseline and at least 2 years of follow-up that included a repeat mammography. Outcomes measured were breast cancer events at 1 and 2 years after baseline and the results of subsequent mammograms. All P values were two-sided. RESULTS: A total of 2927 (5%) of the 58 408 eligible women had baseline mammograms that included recommendations for short-interval follow-up. The incidence of breast cancer for women with a short-interval follow-up recommendation was 1.0% at 2 years after the baseline mammogram compared with breast cancer incidences of 0.6% and 0.5% for women whose baseline mammograms were described as "benign" and "negative," respectively. Across the 40 participating centers, the prevalence of short-interval follow-up recommendations among baseline mammograms varied from 1.2% to 9.8% (P<.001), even when the analysis was adjusted for key variables in regression models. Centers reporting higher frequencies of such recommendations did not have lower positive predictive values for breast cancer than centers reporting lower frequencies. The likelihood ratio for breast cancer after a recommendation for short-interval follow-up on a subsequent mammogram was 2.20 (95% confidence interval = 1.65 to 2.86). CONCLUSION: Having a mammographic recommendation for short-interval follow-up was associated with a low positive predictive value for breast cancer among postmenopausal women during a 2-year follow-up. This result suggests that the current criteria for this recommendation-repeat mammography within 6 months-should be reconsidered.     

Relationship between mammographic density and the risk of breast cancer in japanese women: a case-control study

BACKGROUND: The relationship between mammographic density and the risk of breast cancer was examined in Japanese women. The study was a matched case-control study comparing the mammographic densities of both breast cancer cases and healthy controls. MATERIALS AND METHODS: We selected 237 women who were diagnosed with a histologically verified breast cancer, and who underwent surgery at Gihoku General Hospital in Gifu, from January, 1998 to December, 1999. During the time of this study, 3,650 people participated in breast cancer screening with mammography and ultrasound together. We selected 742 women as a control group from the screening participants and matched them by age and the number of deliveries with the cancer patients. The same mammography machine was used for both cases and controls. For evaluation, we used a visual method (Wolfe's classification) and a computer assisted method to classify the mammograms based on mammographic density. RESULTS: (1) According to Wolfe's classification, the DY group had a significantly increased breast cancer risk compared with the N1 group (Relative risk (RR)=2.20, 95% confidence interval (95%CI) (1.02-4.77). (2) The group showing a high mammographic density had a significantly increased risk of breast cancer compared with the group with low mammographic density (RR=2.83, 95%CI=1.33-5.98) as classified by the computer assisted method. CONCLUSION: It is suggested that women with high mammographic densities, classified visually or by computer, have an elevated risk of breast cancer compared with those with low mammographic densities.     

Postmenopausal hormone therapy and change in mammographic density

BACKGROUND: Mammographic density is an independent risk factor for breast cancer. Postmenopausal hormone use is associated with an increase in mammographic density, but the magnitude of the density increase is unknown. METHODS: Baseline and 12-month mammograms were obtained for 571 (65%) of the 875 women, aged 45-64 years, who were enrolled in the Postmenopausal Estrogen/Progestin Interventions Trial and randomly assigned to receive placebo, daily conjugated equine estrogens at 0.625 mg/day (CEE), daily CEE and medroxyprogesterone acetate (MPA) at 10 mg/day on days 1-12 (CEE+MPA-cyclic), daily CEE and MPA at 2.5 mg/day (CEE+MPA-continuous), or daily CEE and micronized progesterone (MP) at 200 mg/day on days 1-12 (CEE+MP). We analyzed digitized mammograms to determine the percentage of the left breast that was composed of dense tissue (i.e., mammographic percent density). Linear regression analysis was used to examine the effects of treatments on the change in mammographic percent density between baseline and 12 months, before and after adjustment for possible confounders. All statistical tests were two-sided. RESULTS: The adjusted absolute mean changes in mammographic percent density over 12 months were 4.76% (95% confidence interval [CI] = 3.29% to 6.23%), 4.58% (95% CI = 3.19% to 5.97%), and 3.08% (95% CI = 1.65% to 4.51%) for women in the CEE+MPA-cyclic, CEE+MPA-continuous, and CEE-MP groups, respectively. Each of those absolute mean changes was statistically significantly different from the adjusted absolute mean change in mammographic percent density for women in the placebo group, which was -0.07% (95% CI = -1.50% to 1.38%). CONCLUSION: Greater mammographic density was associated with the use of estrogen/progestin combination therapy, regardless of how the progestin was given, but not with the use of estrogen only.     

Reversal of gonadotropin-releasing hormone agonist induced reductions in mammographic densities on stopping treatment.

Previously, we described the reduction in mammographic densities that occurred in premenopausal women after 12 months on a hormonal regimen designed to be chemopreventive for breast (and ovarian) cancer consisting of a gonadotropin-releasing hormone agonist (GnRHA) plus low-dose add-back estrogen-progestin. We sought to determine whether the density reduction persisted with continuation of the regimen for 24 months, and, if so, whether the densities would return to baseline after the regimen was discontinued. Twenty-one women, 27-40 years of age, with a 5-fold greater than normal risk of breast cancer, were randomly assigned in a 2:1 ratio to the treatment group (14 women) and to a control group (7 women). The percentage of mammographic densities, calculated as the proportion of the breast area on the mammogram containing densities, were assessed blindly using a computer-based threshold method at baseline, after 12 and 24 months of treatment, and at between 6 and 12 months after treatment was stopped. The previously described percentage of mammographic density reductions of 9.7% (P = 0.012) after 12 months of treatment were increased slightly to 11.4% (P = 0.010) after 24 months of treatment, but the additional change was not statistically significant. Ten of 11 treated women assessed at 24 months had reduced percentages of mammographic densities compared with baseline. Six to 12 months after completion of treatment, the mean percentage of mammographic density in the treated group was no different from that at baseline (mean decline of 2.0%; P = 0.73). The women in the control group had no statistically significant changes in densities over the period of the study. Reductions in mammographic densities engendered by the GnRHA plus a low-dose add-back estrogen-progestin regimen persist as long as the women receive treatment. The densities return to baseline when the women resume normal menstrual cycles. These results confirm that mammographic densities are influenced by ovarian function. Improved efficacy of mammographic screening is to be expected as long as a woman continues on such a regimen. Whether such a regimen is chemopreventive for breast cancer remains to be established, but the recent report on a randomized trial of use of GnRHA alone in premenopausal breast cancer cases showing a marked reduction in incidence of contralateral disease provides strong support for the hypothesis.     

Mammographic density, parity and age at first birth, and risk of breast cancer: an analysis of four case–control studies

Mammographic density is strongly and consistently associated with breast cancer risk. To determine if this association was modified by reproductive factors (parity and age at first birth), data were combined from four case–control studies conducted in the United States and Japan. To overcome the issue of variation in mammographic density assessment among the studies, a single observer re-read all the mammograms using one type of interactive thresholding software. Logistic regression was used to estimate odds ratios (OR) while adjusting for other known breast cancer risk factors. Included were 1,699 breast cancer cases and 2,422 controls, 74% of whom were postmenopausal. A positive association between mammographic density and breast cancer risk was evident in every group defined by parity and age at first birth (OR per doubling of percent mammographic density ranged between 1.20 and 1.39). Nonetheless, the association appeared to be stronger among nulliparous than parous women (OR per doubling of percent mammographic density = 1.39 vs. 1.24; P interaction = 0.054). However, when examined by study location, the effect modification by parity was apparent only in women from Hawaii and when examined by menopausal status, it was apparent in postmenopausal, but not premenopausal, women. Effect modification by parity was not significant in subgroups defined by body mass index or ethnicity. Adjusting for mammographic density did not attenuate the OR for the association between parity and breast cancer risk by more than 16.4%, suggesting that mammographic density explains only a small proportion of the reduction in breast cancer risk associated with parity. In conclusion, this study did not support the hypothesis that parity modifies the breast cancer risk attributed to mammographic density. Even though an effect modification was found in Hawaiian women, no such thing was found in women from the other three locations.