Preclinical and correlative studies suggest reduced breast cancer with higher lignan intake or blood levels. We conducted a pilot study of modulation of risk biomarkers for breast cancer in premenopausal women after administration of the plant lignan secoisolariciresinol given as the diglycoside (SDG). Eligibility criteria included regular menstrual cycles, no oral contraceptives, a >3-fold increase in 5-year risk, and baseline Ki-67 of ≥2% in areas of hyperplasia in breast tissue sampled by random periareolar fine-needle aspiration (RPFNA) during the follicular phase of the menstrual cycle. SDG (50 mg/d) was given for 12 months, followed by repeat RPFNA. The primary end point was change in Ki-67. Secondary end points included change in cytomorphology, mammographic breast density, serum bioavailable estradiol and testosterone insulin-like growth factor-I and IGF-binding protein-3, and plasma lignan levels. Forty-five of 49 eligible women completed the study with excellent compliance (median = 96%) and few serious side effects (4% grade 3). Median plasma enterolactone increased ∼9-fold, and total lignans increased 16-fold. Thirty-six (80%) of the 45 evaluable subjects showed a decrease in Ki-67, from a median of 4% (range, 2-16.8%) to 2% (range, 0-15.2%; P < 0.001, Wilcoxon signed rank test). A decrease from baseline in the proportion of women with atypical cytology (P = 0.035) was also observed. Based on favorable risk biomarker modulation and lack of adverse events, we are initiating a randomized trial of SDG versus placebo in premenopausal women. Cancer Prev Res; 3(10); 1342–50. ©2010 AACR.

Secoisolariciresinol diglycoside (SDG) is a polyphenolic plant lignan, which, when administered orally, is hydrolyzed to secoisolariciresinol (SECO) and further metabolized by intestinal bacteria to the biologically active mammalian lignans enterodiol (END) and enterolactone (ENL) (14). In a high-estrogen environment, these lignans act as partial estrogen antagonists in a tissue-specific manner (59). SDG is found in highest concentration in flaxseed but is also present in other oil-rich seeds, nuts, whole grains, legumes, and certain fruits and vegetables (1, 10, 11). The typical Western diet provides <10 mg/d of lignans (1113). Administration of flaxseed or SDG is associated with reduced estrogen receptor–negative (ER) and ER+ mammary cancers in preclinical studies (1417).

Some human studies show an inverse correlation between lignan intake or blood levels and breast cancer incidence, but others do not (1832). This inconsistency is not surprising given the inherent limitations of dietary recall, early use of intake questionnaires with incomplete validation for lignans, variation in lignan metabolism, single-point blood collections, and different populations studied (3337). However, for premenopausal women, the preponderance of evidence suggests that there is a reduced cancer incidence with higher lignan intakes or plasma ENL levels (1922, 2426, 30). This is particularly in women with CYP17 A2 alleles that may result in higher endogenous estrogen levels (24, 38, 39). Correlative studies indicate reduction in risk of ER as well as ER+ breast cancer, including ER cancer in premenopausal women (23, 25, 2729).

Given the likelihood that lignans act as partial estrogen antagonists, we undertook a pilot study of the plant lignan SDG in premenopausal women at increased risk for breast cancer. Our primary end point was change in the proliferation marker Ki-67 in hyperplastic benign breast tissue obtained by random periareolar fine-needle aspiration (RPFNA). Proliferation plays a fundamental role in carcinogenesis (40), and higher proliferation (Ki-67) in hyperplastic and atypical hyperplastic specimens is associated with cancer development (41, 42). Reduction in Ki-67 is also associated with response in early cancer treatment trials (43, 44). We had previously shown that cytomorphologic evidence of atypia in tissue obtained by RPFNA from high-risk women is associated with a 5-fold increased risk of developing ductal carcinoma in situ (DCIS) or invasive cancer (45) and that Ki-67 in cytology specimens obtained by RPFNA is positively associated (46) with evidence of cytologic atypia (47, 48). Secondary end points measured included cytomorphology, percent mammographic density, serum bioavailable estradiol and testosterone, and insulin-like growth factor-I (IGF-I) and IGF-binding protein-3 (IGFBP-3; reviewed in ref. 49). We chose a commercial preparation (Brevail) to avoid the marked variability in SDG content and bioavailability observed with different batches of raw or ground flaxseed (50). Pharmacologic studies had shown that daily dosing with this formulation, which contains 50 mg of SDG, produced ENL levels (median, 63 nmol/L) similar to those found in the highest quintiles associated with reduction in cancer incidence in case-control studies (18, 51).

Eligibility for study

Premenopausal women with regular menstrual cycles, not on oral contraceptives for at least 6 months, were eligible for tissue screening by RPFNA provided they met risk criteria. Risk criteria included a 5-year Gail model risk of ≥1.7% or 3-fold higher than the average Surveillance Epidemiology and End Results risk for age group, a prior breast biopsy of atypical hyperplasia or lobular carcinoma in situ (LCIS), or a prior contralateral treated breast cancer. A normal mammogram was required the day of or within 3 months before their RPFNA. Tissue eligibility required hyperplasia, with or without atypia, plus sufficient Ki-67 expression to enable detection of modulation. We selected a lower limit of Ki-67 as staining of 2% or more of epithelial cell nuclei assessed on a minimum of 500 hyperplastic epithelial cells. We had previously observed a median Ki-67 of 2% in high-risk premenopausal women for whom Ki-67 could be assessed (46). More recently, a Mayo Clinic study suggested that Ki-67 staining of 2% or higher in foci of atypia was associated with increased risk for development of breast cancer (42). Entry onto the intervention protocol was required within 3 months of the RPFNA along with normal renal, hepatic, and hematologic function. Subjects were also asked not to take antibiotics or flaxseed supplements for 6 weeks before baseline sampling for blood lignan levels and entry into the study protocol. Protocols for RPFNA and the flaxseed lignan intervention were approved by the University of Kansas Medical Center Human Subjects Committee.

Gail risk calculation

The 5-year projected probability of developing invasive cancer was calculated at the time of RPFNA according to the Gail risk Model at http://bcra.nci.nih.gov/brc/ (52).

Biomarker assessments and assays

All biomarker assessments were done at baseline and 12 months. Additional plasma for lignan measurements was also obtained at 6 months. Sera and plasma were stored in aliquots at −80°C after processing.

Tissue acquisition and specimen processing

RPFNA was done between days 1 to 10 (follicular phase) of the menstrual cycle to reduce Ki-67 variability and minimize bleeding. Two sites per breast were aspirated under local anesthesia as previously described (49). The needle tip was preferentially guided to areas of increased resistance. Material from all aspiration sites was pooled in a single 15-cm3 tube with 9 mL of CytoLyt and 1 mL of 10% formalin. After 48 hours, cells were pelleted, washed in CytoLyt, and transferred to PreservCyt. Aliquots were then transferred to slides via ThinPrep methodology for pap staining for cytomorphology or Ki-67 (see below).

Cytomorphology

Cytomorphology was assessed by a single cytopathologist (C.M.Z.) and classified by both a categorical method (48) and a semiquantitative index score. Index scores of 11 to 14 generally correlate with hyperplasia without atypia, 15 to 18 with hyperplasia with atypia, and 19 to 24 as suspicious for malignancy (47). Cytomorphologic assessments were made without knowledge of the results of the Ki-67 assessment.

Ki-67

A categorical estimate of the number of ductal epithelial cells present was made as 500 to 1,000, 1,000 to 5,000, or >5,000, and only slides containing >500 cells were stained for Ki-67. Antigen retrieval was done with 10 mmol/L citrate buffer (pH 6) in a BioCare decloaking chamber for 2 minutes at 120°C. Slides were then stained with MIB-1 monoclonal antibody (M7240; DakoCytomation) at a 1:20 dilution in a Dako Autostainer. At baseline, only hyperplastic cell clusters were assessed, but at the 12-month follow-up, if no hyperplastic clusters were present, clusters containing the highest proportion of cells staining for Ki-67 were preferentially evaluated. The number of cells with unequivocal nuclear staining out of 500 cells assessed was recorded for each of two independent readers. In case of a difference between the two readers, the scores were averaged.

Hormone and growth factors

Assays were done using commercially available kits. Each subject's pretreatment and posttreatment samples were run together in duplicate on the same 96-well plate, along with a pooled sera control, plus the standards and controls of the kit. Estradiol [and sex hormone binding globulin (SHBG) done with estradiol] assays were to be done on blood samples collected at the time of the initial screening and final poststudy RPFNAs during the follicular phase of the menstrual cycle, as this phase is associated with the least fluctuations in estradiol levels. However, due to oversight, blood for baseline estradiol was collected on only half of the subjects. IGF-I, IGFBP-3, progesterone, testosterone, and SHBG assays were done on sera collected from all eligible subjects immediately before starting study agent and then after 12 months of study agent, between days 21 and 24 of the menstrual cycle. Levels of IGF-I and IGFBP-3 are highest during the luteal phase (53), and progesterone and testosterone are most reproducible in the midluteal phase (54). Specimens were thawed once for estradiol, IGF-I, and IGFBP-3 and twice for progesterone and testosterone. Bioavailable estradiol and testosterone results were computed using values for estradiol, testosterone, and SHBG according to standard formulas (55, 56).

Estradiol, progesterone, testosterone, and SHBG assay kits were purchased from Diagnostics Biochem Canada, Inc. All were competitive enzyme immunoassays done except for SHBG, which was a direct capture ELISA. Limits of detection for each assay were as follows: estradiol, 10 pg/mL; progesterone, 0.1 ng/mL; testosterone, 0.022 ng/mL; and SHBG, 0.1 nmol/L. IGF-I and IGFBP-3 assay kits were purchased from Diagnostic Systems Laboratories, Inc. Limits of detection were 0.01 ng/mL (for IGF-I) and 0.04 ng/mL (for IGFBP-3).

Mammographic breast density

Baseline and month 12 mammograms were done between days 1 and 10 of the menstrual cycle, similar to that for RPFNA, and generally on the same day as RPFNA. Images were digitally scanned or downloaded from a PACS system and cropped to remove any identifying information. Digital images were assembled in batched sets for an assessment of percent density using the Cumulus software program (57). The single reader (C.J.F.) knew which two files were from the same subject but did not know the sequence. Because there was a hospital conversion midway through the study from analog to digital mammography, a large number of subjects had prestudy and poststudy mammograms acquired using different technology and a secondary analysis was also done for the 25 subjects who had the same type of mammogram at baseline and 12 months.

Lignans

Baseline, 6-month, and 12-month plasma samples from the same subject were assessed together for analysis of lignans (SECO, END, and ENL). Samples were run in two batches ∼2 months apart. Samples were thawed once and underwent solid-phase extraction, hydrolysis (58), and high-performance liquid chromatography analysis with Waters Quattro Micro UPLC system coupled to electrospray tandem mass spectrometry (59). The lower limit of quantification of lignans was 1 ng/mL (1 ng/mL is ∼2.5 nmol/L). For analysis, samples classified as nondetectable for lignans were coded as 0, whereas samples with detectable signal but below the lower limit of quantification were coded as 0.5 ng/mL. The within-batch reproducibility for the assay of ENL, END, and SECO based on repeat measures of a quality assurance plasma sample over six batches was 11.9%, 5.8%, and 10.1%, respectively, expressed as coefficient of variation.

Data capture and statistical methods

The study design called for accrual of 50 subjects, with 40 evaluable for the primary end point biomarker. Based on assumptions of a mean baseline Ki-67 of 4% and a SD of the change of 0.9%, the study had 86% power with a two-sided α of 0.05 to detect a 50% effect size for change in Ki-67 using a paired t test. Because change in Ki-67 was not normally distributed, the nonparametric Wilcoxon signed rank test was used. Changes in plasma SECO, END, and ENL were correlated with changes in Ki-67, percent mammographic breast density, progesterone and plasma IGF-I/IGFBP-3, SHBG, bioavailable estradiol, and bioavailable testosterone. Because the data were highly skewed, a nonparametric Spearman's correlation was used. For secondary end point markers for which the study was not specifically powered, no corrections for multiple comparisons were formally used; however, this was taken into consideration in the interpretation of the results.

Baseline characteristics

Between December 2005 and April 2008, 78 women were screened by RPFNA for consideration of participation on the study. A total of 49 subjects were enrolled between February 2006 and June 2008. The last subject completed study in June 2009. Characteristics of both the 49 enrolled and the 45 evaluable subjects are given in Table 1 and were not different. Median age was 43, 73% had one or more first-degree relatives with breast cancer, and 22% had a prior biopsy with atypical ductal hyperplasia (ADH) or LCIS. Baseline RPFNA indicated hyperplasia with atypia in 59% of subjects (62% of evaluable) and a median Ki-67 of 4%. Baseline median mammographic density was 40.9%.

Table 1.

Baseline key variables of all 49 subjects enrolled and of the 45 subjects evaluable for the primary end point

Variablen = 49n = 45
Race (non-White) 2% 2% 
Ethnicity (Hispanic/Latino) 2% 2% 
Age (y) 
    Median 43 43 
    Mean ± SD 41.8 ± 6.5 42.3 ± 6.3 
    Range 27-51 29-51 
Education 
    High school/vocational 8 (16%) 7 (15%) 
    College graduate 27 (55%) 25 (56%) 
    Post-graduate 14 (29%) 13 (29%) 
Height (in) 
    Median 66 66 
    Mean ± SD 65.2 ± 2.8 65.3 ± 2.9 
    Range 56-70 56-70 
Weight (lb) 
    Median 138 137 
    Mean ± SD 148 ± 33 148 ± 34 
    Range 101-234 101-234 
Body mass index (kg/m2
    Median 23.2 22.8 
    Mean ± SD 24.6 ± 5.2 24.5 ± 5.3 
    Range 17.4-37.2 17.4-37.2 
5-y Gail risk (%) 
    Median 1.6 1.6 
    Mean ± SD 2.0 ± 1.5 2.0 ± 1.3 
    Range 0.1-6.5 0.1-5.7 
Age at menarche (y) 
    Median 13 13 
    Mean ± SD 12.8 ± 1.5 12.8 ± 1.5 
    Range 10-16 10-16 
Age first live birth, y (42 parous = 86%) 
    Median 29 29 
    Mean ± SD 28.6 ± 4.3 28.7 ± 4.2 
    Range 19-43 19-43 
Prior biopsy with ADH or LCIS 11 (22%) 8 (18%) 
(20 with any biopsy, 41%) (17 with any biopsy, 38%) 
No. first-degree relatives with breast cancer 
    0 13 (27%) 11 (24%) 
    1 30 (61%) 29 (64%) 
    ≥2 6 (12%) 5 (11%) 
Family history consistent with hereditary breast cancer 16 (33%) 16 (36%) 
Variablen = 49n = 45
Race (non-White) 2% 2% 
Ethnicity (Hispanic/Latino) 2% 2% 
Age (y) 
    Median 43 43 
    Mean ± SD 41.8 ± 6.5 42.3 ± 6.3 
    Range 27-51 29-51 
Education 
    High school/vocational 8 (16%) 7 (15%) 
    College graduate 27 (55%) 25 (56%) 
    Post-graduate 14 (29%) 13 (29%) 
Height (in) 
    Median 66 66 
    Mean ± SD 65.2 ± 2.8 65.3 ± 2.9 
    Range 56-70 56-70 
Weight (lb) 
    Median 138 137 
    Mean ± SD 148 ± 33 148 ± 34 
    Range 101-234 101-234 
Body mass index (kg/m2
    Median 23.2 22.8 
    Mean ± SD 24.6 ± 5.2 24.5 ± 5.3 
    Range 17.4-37.2 17.4-37.2 
5-y Gail risk (%) 
    Median 1.6 1.6 
    Mean ± SD 2.0 ± 1.5 2.0 ± 1.3 
    Range 0.1-6.5 0.1-5.7 
Age at menarche (y) 
    Median 13 13 
    Mean ± SD 12.8 ± 1.5 12.8 ± 1.5 
    Range 10-16 10-16 
Age first live birth, y (42 parous = 86%) 
    Median 29 29 
    Mean ± SD 28.6 ± 4.3 28.7 ± 4.2 
    Range 19-43 19-43 
Prior biopsy with ADH or LCIS 11 (22%) 8 (18%) 
(20 with any biopsy, 41%) (17 with any biopsy, 38%) 
No. first-degree relatives with breast cancer 
    0 13 (27%) 11 (24%) 
    1 30 (61%) 29 (64%) 
    ≥2 6 (12%) 5 (11%) 
Family history consistent with hereditary breast cancer 16 (33%) 16 (36%) 

Change in biomarkers over the course of the study

Ki-67.

Our primary end point was change in Ki-67 over the 12-month study. Median Ki-67 was 4% at baseline (range, 2-16.8%) and 2% (range, 0-15.2%) at 12 months in the 45 women who completed the trial (median decrease, 2.4%; range, −13.0% to +8.2%). Thirty-six (80%) of the 45 women showed a decrease in Ki-67 with a mean relative reduction of 0.67 (P < 0.001, Wilcoxon signed rank test; see Fig. 1).

Fig. 1.

Change in expression of Ki-67 assessed by immunocytochemistry over the course of the 12-mo study. The difference in expression is statistically significant by Wilcoxon signed rank test.

Fig. 1.

Change in expression of Ki-67 assessed by immunocytochemistry over the course of the 12-mo study. The difference in expression is statistically significant by Wilcoxon signed rank test.

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Cytomorphology.

The proportion of evaluable women with atypical cytomorphology was greater at baseline (62%) than at the conclusion (42%) of the study (P = 0.035, two-sided McNemar's test), although there was not a significant change in median semiquantitative Masood score. Consistent with the reduction in Ki-67, a significant shift in cell number category was also observed (see Table 2).

Table 2.

Assessment of change in cell number and cytomorphology

Variable and time/changeFrequencyP
Change in cell number per slide 
    Increase 6 (13%) 0.002 
    No change 19 (42%) 
    Decrease 20 (44%) 
Change in categorical descriptor 
    Worsen 9 (20%) 0.16 
    No change 19 (42%) 
    Improve 17 (38%) 
Change in presence of cytologic atypia 
    Worsen (no atypia→atypia) 3 (7%) 0.013 
    No change (same at both RPFNAs) 30 (67%) 
    Improve (atypia→no atypia) 12 (27%) 
Masood score, median (range) 
    Baseline 15 (11-17) 0.13 
    12 mo 14 (10-20) 
    Change from baseline 0 (−5 to +5) 
Change in Masood score by ≥2 points (frequency) 
    Worsen 5 (11%) 0.090 
    No change 28 (62%) 
    Improve 12 (27%) 
Variable and time/changeFrequencyP
Change in cell number per slide 
    Increase 6 (13%) 0.002 
    No change 19 (42%) 
    Decrease 20 (44%) 
Change in categorical descriptor 
    Worsen 9 (20%) 0.16 
    No change 19 (42%) 
    Improve 17 (38%) 
Change in presence of cytologic atypia 
    Worsen (no atypia→atypia) 3 (7%) 0.013 
    No change (same at both RPFNAs) 30 (67%) 
    Improve (atypia→no atypia) 12 (27%) 
Masood score, median (range) 
    Baseline 15 (11-17) 0.13 
    12 mo 14 (10-20) 
    Change from baseline 0 (−5 to +5) 
Change in Masood score by ≥2 points (frequency) 
    Worsen 5 (11%) 0.090 
    No change 28 (62%) 
    Improve 12 (27%) 

Mammographic breast density.

Mammographic density declined over the 12-month period by a nonsignificant 6.3% (median). During the trial, our hospital switched from analog to digital mammography, and digital mammography is generally associated with less density than analog. Restricting the analysis to the 25 individuals who had the same type of mammogram on and off study, there was no change either in median density or in the proportion of individuals having increases or decreases in density (Fig. 2).

Fig. 2.

Change in mammographic breast density (expressed as percent of breast area that is considered to be at increased density) over the course of the 12-mo study. The triangles indicate subjects where density increased; the squares indicate subjects where density decreased. The dashed line indicates equivalence (i.e., no change over the course of the study). The difference in density is not statistically significant by Wilcoxon signed rank test.

Fig. 2.

Change in mammographic breast density (expressed as percent of breast area that is considered to be at increased density) over the course of the 12-mo study. The triangles indicate subjects where density increased; the squares indicate subjects where density decreased. The dashed line indicates equivalence (i.e., no change over the course of the study). The difference in density is not statistically significant by Wilcoxon signed rank test.

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Hormone levels and growth factors.

With the exception of a borderline decrease in IGFBP-3 and increase in bioavailable testosterone, there were no changes in hormone or growth factor levels during the study (see Table 3). Although there was a marginal decrease in SHBG when collected early in the menstrual cycle, no such effect was observed when collected at days 20 to 24 of the cycle.

Table 3.

Change in serum hormones and growth factors (median, mean, and SD)

Variable or biomarkernPrestudyPoststudyDifferenceP (Wilcoxon)
Collected at time of RPFNA (days 1-10 of menstrual cycle) 
    Estradiol (pg/mL) 22 97.5 (154 ± 117) 102 (144 ± 90) 1.29 (−10.8 ± 53.4) 0.55 
    Estradiol (nmol/L) 22 0.36 (0.57 ± 0.43) 0.38 (0.53 ± 0.33) 0.00 (−0.04 ± 0.20)  
    Bioavailable (free) estradiol (pmol/L) 22 4.6 (6.3 ± 4.4) 4.9 (6.4 ± 4.1) 0.32 (0.12 ± 1.84) 0.90 
    SHBG, with estradiol (nmol/L) 22 80.2 (81.2 ± 28.6) 67.9 (72.9 ± 26.3) −11.7 (−8.3 ± 30.1) 0.031 
Collected at days 20 to 24 of menstrual cycle 
    IGF-I (ng/mL) 44 194 (201 ± 78) 180 (196 ± 67) 0.28 (−5.1 ± 47.8) 0.48 
    IGF-I (nmol/L) 44 25.3 (26.2 ± 10.1) 23.4 (25.5 ± 8.7) 0.04 (−0.66 ± 6.21) 
    IGFBP-3 (ng/mL) 44 5,854 (5,978 ± 1,009) 5,672 (5,729 ± 1,022) −220 (−249 ± 790) 0.029 
    IGFBP-3 (nmol/L) 44 205 (209 ± 35) 199 (201 ± 36) −7.7 (−8.7 ± 27.6)  
    IGF-I/IGFBP-3 molar ratio 44 0.12 (0.12 ± 0.04) 0.12 (0.13 ± 0.03) 0.001 (0.003 ± 0.029) 0.65 
    Progesterone (ng/mL) 44 6.1 (8.0 ± 8.2) 6.4 (8.8 ± 9.8) 0.4 (0.8 ± 8.5) 0.58 
    Progesterone (nmol/L) 44 19.3 (25.5 ± 26.2) 20.3 (28.0 ± 31.2) 1.3 (2.5 ± 27.2) 
    Testosterone (ng/mL) 44 1.1 (1.6 ± 2.4) 1.1 (1.6 ± 2.0) 0.07 (0.00 ± 1.32) 0.11 
    Testosterone (nmol/L) 44 3.7 (5.7 ± 8.3) 3.8 (5.7 ± 7.0) 0.25 (0.00 ± 4.57) 
    Bioavailable (free) testosterone (pmol/L) 44 39.3 (59.8 ± 63.3) 43.3 (73.9 ± 101.3) 3.9 (17.2 ± 74.8) 0.061 
    SHBG (nmol/L) 44 76.9 (70.1 ± 25.5) 70.9 (72.2 ± 30.6) 0.82 (2.03 ± 23.5) 0.99 
    SECO (nmol/L) 42 0.0 (0.62 ± 1.15) 5.7 (33.7 ± 66.5) 5.5 (32.8 ± 66.5) <0.001 
    END (nmol/L) 42 0.0 (0.69 ± 1.29) 23.3 (84.3 ± 133.0) 23.3 (83.7 ± 133.0) <0.001 
    ENL (nmol/L) 42 11.1 (15.8 ± 17.4) 99.2 (132.7 ± 120.3) 74.8 (117.0 ± 117.7) <0.001 
    Total lignans (nmol/L) 42 11.1 (16.8 ± 17.9) 183.3 (248.8 ± 216.7) 165.9 (233.5 ± 213.9) <0.001 
Variable or biomarkernPrestudyPoststudyDifferenceP (Wilcoxon)
Collected at time of RPFNA (days 1-10 of menstrual cycle) 
    Estradiol (pg/mL) 22 97.5 (154 ± 117) 102 (144 ± 90) 1.29 (−10.8 ± 53.4) 0.55 
    Estradiol (nmol/L) 22 0.36 (0.57 ± 0.43) 0.38 (0.53 ± 0.33) 0.00 (−0.04 ± 0.20)  
    Bioavailable (free) estradiol (pmol/L) 22 4.6 (6.3 ± 4.4) 4.9 (6.4 ± 4.1) 0.32 (0.12 ± 1.84) 0.90 
    SHBG, with estradiol (nmol/L) 22 80.2 (81.2 ± 28.6) 67.9 (72.9 ± 26.3) −11.7 (−8.3 ± 30.1) 0.031 
Collected at days 20 to 24 of menstrual cycle 
    IGF-I (ng/mL) 44 194 (201 ± 78) 180 (196 ± 67) 0.28 (−5.1 ± 47.8) 0.48 
    IGF-I (nmol/L) 44 25.3 (26.2 ± 10.1) 23.4 (25.5 ± 8.7) 0.04 (−0.66 ± 6.21) 
    IGFBP-3 (ng/mL) 44 5,854 (5,978 ± 1,009) 5,672 (5,729 ± 1,022) −220 (−249 ± 790) 0.029 
    IGFBP-3 (nmol/L) 44 205 (209 ± 35) 199 (201 ± 36) −7.7 (−8.7 ± 27.6)  
    IGF-I/IGFBP-3 molar ratio 44 0.12 (0.12 ± 0.04) 0.12 (0.13 ± 0.03) 0.001 (0.003 ± 0.029) 0.65 
    Progesterone (ng/mL) 44 6.1 (8.0 ± 8.2) 6.4 (8.8 ± 9.8) 0.4 (0.8 ± 8.5) 0.58 
    Progesterone (nmol/L) 44 19.3 (25.5 ± 26.2) 20.3 (28.0 ± 31.2) 1.3 (2.5 ± 27.2) 
    Testosterone (ng/mL) 44 1.1 (1.6 ± 2.4) 1.1 (1.6 ± 2.0) 0.07 (0.00 ± 1.32) 0.11 
    Testosterone (nmol/L) 44 3.7 (5.7 ± 8.3) 3.8 (5.7 ± 7.0) 0.25 (0.00 ± 4.57) 
    Bioavailable (free) testosterone (pmol/L) 44 39.3 (59.8 ± 63.3) 43.3 (73.9 ± 101.3) 3.9 (17.2 ± 74.8) 0.061 
    SHBG (nmol/L) 44 76.9 (70.1 ± 25.5) 70.9 (72.2 ± 30.6) 0.82 (2.03 ± 23.5) 0.99 
    SECO (nmol/L) 42 0.0 (0.62 ± 1.15) 5.7 (33.7 ± 66.5) 5.5 (32.8 ± 66.5) <0.001 
    END (nmol/L) 42 0.0 (0.69 ± 1.29) 23.3 (84.3 ± 133.0) 23.3 (83.7 ± 133.0) <0.001 
    ENL (nmol/L) 42 11.1 (15.8 ± 17.4) 99.2 (132.7 ± 120.3) 74.8 (117.0 ± 117.7) <0.001 
    Total lignans (nmol/L) 42 11.1 (16.8 ± 17.9) 183.3 (248.8 ± 216.7) 165.9 (233.5 ± 213.9) <0.001 

Change in lignan blood levels over the course of the study

Forty-two subjects had plasma obtained for lignans at 0, 6, and 12 months. Plasma lignan levels were below the limit of quantification or undetectable at baseline for SECO in 94%, END in 84%, and ENL in 16% of specimens. All three lignans showed a statistically significant (P < 0.001, Wilcoxon signed rank test) increase in levels between baseline and 6 or 12 months (see Table 3), but no difference between 6 and 12 months. There was a 9-fold increase in median levels of ENL, the most biologically relevant lignan, and a 16-fold increase in median total lignan levels from baseline to 12 months. There was no significant relationship between reported compliance and change in ENL levels or ENL levels and change in Ki-67.

Compliance

Our preset criterion for compliance was ingestion of 70% of prescribed capsules and was met by 44 of 45 biomarker evaluable subjects. Median compliance as assessed by capsule count was 96% in biomarker evaluable subjects.

Adverse events

Reported adverse events were mild and, for the most part, probably unrelated to drug. There were no grade 4, grade 3 in only 4%, grade 2 in 47%, and grade 1 in 35%. Four subjects discontinued study prematurely: 1 with a grade 3 adverse event from pelvic pain at 3 months, 1 with pregnancy at 9 months, 1 with DCIS detected on her regularly scheduled 12-month mammogram before RPFNA, and another failed to return for any follow-up visit. The majority of the grade 2 adverse events were considered to be probably unrelated to the study agent, including minor teeth, sinus, and respiratory infections. Gastrointestinal (GI) symptoms such as nausea, flatulence, or diarrhea provided only 11% grade 2 events. Grade 1 adverse events were predominately related to transient GI complaints and alteration of the menses. Table 4 gives frequency of reported adverse events that might be expected from SDG. Half of the subjects reported some GI symptoms during the 12 months and 26% reported irregular menses. Only one subject reported becoming amenorrheic, halfway through study, but then had a period 1 week before the poststudy RPFNA. There was no correlation between side effects and ENL levels.

Table 4.

Frequency of anticipated adverse events

Adverse eventFrequency, n (%)
Single eventsPer subject
Diarrhea 
    Grade 1 4 (8%) 2 (4%) 
    Grade 2 2 (4%) 1 (2%) 
Flatulence 
    Grade 1 10 (20%) 10 (20%) 
    Grade 2 2 (4%) 2 (4%) 
GI symptom 
    Grade 1 22 (44%) 18 (36%) 
    Grade 2 3 (6%) 3 (6%) 
Irregular menses 
    Grade 1 15 (30%) 13 (26%) 
Rash 
    Grade 1 1 (2%) 1 (2%) 
    Grade 2 10 (20%) 6 (12%) 
Hot flashes 
    Grade 1 2 (4%) 2 (4%) 
    Grade 2 1 (2%) 1 (2%) 
Adverse eventFrequency, n (%)
Single eventsPer subject
Diarrhea 
    Grade 1 4 (8%) 2 (4%) 
    Grade 2 2 (4%) 1 (2%) 
Flatulence 
    Grade 1 10 (20%) 10 (20%) 
    Grade 2 2 (4%) 2 (4%) 
GI symptom 
    Grade 1 22 (44%) 18 (36%) 
    Grade 2 3 (6%) 3 (6%) 
Irregular menses 
    Grade 1 15 (30%) 13 (26%) 
Rash 
    Grade 1 1 (2%) 1 (2%) 
    Grade 2 10 (20%) 6 (12%) 
Hot flashes 
    Grade 1 2 (4%) 2 (4%) 
    Grade 2 1 (2%) 1 (2%) 

Breast biopsies and events

Six of the 49 high-risk subjects underwent breast biopsy as a result of breast imaging (5, mostly new microcalcifications) or the RPFNA (1, suspicious cytomorphology) at the 12-month visit. Biopsies showed fibrocystic change or proliferative breast disease in four and LCIS in two. Four of the six women had baseline cytologic atypia, and one of the two with LCIS had a prior history of LCIS. Subsequent to these biopsies shortly after going off study, two women were diagnosed with DCIS and another with invasive cancer.

To our knowledge, this is the first report of a significant reduction in Ki-67 in benign breast tissue, with sufficient SDG to raise plasma lignan levels ∼10-fold. We also observed a reduction in the proportion of women with cytologic atypia. Our median ENL of 99 nmol/L following supplementation with 50 mg/d SDG was higher than the mean ENL in the highest quintile of the Finnish case-control study associated with a 62% breast cancer risk reduction when compared with the lowest quintile (18). The mean level for the lowest quintile in the Finnish study (3 nmol/L) was similar to the baseline ENL (11 nmol/L) in our study. Our findings in premenopausal women at high risk for development of breast cancer parallel those of Thompson et al. (60), who observed a reduction in Ki-67 in tumor tissue after ∼30 days of muffins supplemented with 25 g of flaxseed versus muffins alone in a cohort of 32 premenopausal and postmenopausal women with newly diagnosed breast cancer.

Although the mechanism of action of SDG is not clear, several possibilities have emerged from preclinical studies and include (a) antioxidant effects (61), (b) increase in BRCA1 protein and differentiation (62, 63), (c) reduced breast aromatase with reduction in tissue estrogen production and altered ER-related signaling (6466), (d) activation of peroxisome proliferator-activated receptor-γ with an increase in adiponectin and resulting suppression of AKT/mammalian target of rapamycin activity (67, 68), (e) downregulation of epidermal growth factor receptor with resultant decrease in mitogen-activated protein kinase and reduction in IGF-I with downregulation of phosphatidylinositol 3-kinase signaling (17, 69, 70), and (f) reduced vascular endothelial growth factor secretion and angiogenesis (3).

Lack of modulation of mammographic density (71) despite an increase in plasma lignans and a reduction in tissue Ki-67 is in line with findings of Stuedal et al. (72), who found no correlation of plasma ENL and mammographic density, and findings by ourselves and others indicating a lack of correlation between Ki-67 obtained from cytologic or histologic specimens and mammographic density (7375). Because modulation of mammographic breast density has been observed with tamoxifen and other selective ER modulators but not aromatase inhibitors (7679), demonstration of modulation of mammographic density after a short-term intervention may be drug class specific.

The primary limitation of our pilot study is the lack of a placebo control group. However, cytomorphology and Ki-67 are reasonably stable over time when a stable hormonal milieu is maintained (80, 81).

Given the favorable safety profile, prior studies indicating lignan-associated reduction in breast pain and breast tumor cell proliferation (60, 82, 83), and the current study suggesting reduction in proliferation and atypia, SDG warrants further testing in premenopausal women in a phase II placebo controlled trial.

No potential conflicts of interest were disclosed.

Grant Support: National Cancer Institute, NIH grant R21 CA117847.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1
Setchell
KDR
,
Lawson
AM
,
Mitchell
FL
, et al
. 
Lignans in man and in animal species
.
Nature
1980
;
287
:
740
2
.
2
Setchell
KDR
,
Lawson
AM
,
Borriello
SP
, et al
. 
Lignan formation in man-microbial involvement and possible roles in relation to cancer
.
Lancet
1981
;
2
:
4
7
.
3
Bergman Jungeström
M
,
Thompson
LU
,
Dabrosin
C
. 
Flaxseed and its lignans inhibit estradiol-induced growth, angiogenesis, and secretion of vascular endothelial growth factor in human breast cancer xenografts in vivo
.
Clin Cancer Res
2007
;
13
:
1061
7
.
4
Penttinen
P
,
Jaehrling
J
,
Damdimopoulos
AE
, et al
. 
Diet-derived polyphenol metabolite enterolactone is a tissue-specific estrogen receptor activator
.
Endocrinology
2007
;
148
:
4875
86
.
5
Nesbitt
PD
,
Lam
Y
,
Thompson
LU
. 
Human metabolism of mammalian lignan precursors in raw and processed flaxseed
.
Am J Clin Nutr
1999
;
69
:
549
55
.
6
Mousavi
Y
,
Adlercreutz
H
. 
Enterolactone and estradiol inhibit each other's proliferative effect on MCF-7 breast cancer cells in culture
.
J Steroid Biochem Mol Biol
1992
;
41
:
615
9
.
7
Wang
W
,
Higuchi
CM
,
Zhang
R
. 
Individual and combinatory effects of soy isoflavones on the in vitro potentiation of lymphocyte activation
.
Nutr Cancer
1997
;
29
:
29
34
.
8
Mueller
SO
,
Simon
S
,
Chae
K
, et al
. 
Phytoestrogens and their human metabolites show distinct agonistic and antagonistic properties on estrogen receptor α (ERα) and ERβ in human cells
.
Toxicol Sci
2004
;
80
:
14
25
.
9
Carreau
C
,
Flouriot
G
,
Bennetau-Pelissero
C
, et al
. 
Enterodiol and enterolactone, two major diet-derived polyphenol metabolites have different impact on ERα transcriptional activation in human breast cancer cells
.
J Steroid Biochem Mol Biol
2008
;
110
:
176
85
.
10
Thompson
LU
,
Robb
P
,
Serraino
M
, et al
. 
Mammalian lignan production from various foods
.
Nutr Cancer
1991
;
16
:
43
52
.
11
Thompson
LU
,
Boucher
BA
,
Liu
Z
, et al
. 
Phytoestrogen content of foods consumed in Canada, including isoflavones, lignans, and coumestan
.
Nutr Cancer
2006
;
54
:
184
201
.
12
de Kleijn
MJ
,
van der Schouw
YT
,
Wilson
PW
, et al
. 
Intake of dietary phytoestrogens is low in postmenopausal women in the United States: the Framingham study
.
J Nutr
2001
;
131
:
1826
32
.
13
Boker
LK
,
Van der Schouw
YT
,
De Kleijn
MJ
, et al
. 
Intake of dietary phytoestrogens by Dutch women
.
J Nutr
2002
;
132
:
1319
28
.
14
Thompson
LU
,
Seidl
MM
,
Rickard
SE
, et al
. 
Antitumorigenic effect of a mammalian lignan precursor from flaxseed
.
Nutr Cancer
1996
;
26
:
159
65
.
15
Rickard
SE
,
Yuan
YV
,
Chen
J
, et al
. 
Dose effects of flaxseed and its lignan on N-methyl-N-nitrosourea-induced mammary tumorigenesis in rats
.
Nutr Cancer
1999
;
35
:
50
7
.
16
Chen
J
,
Wang
L
,
Thompson
LU
. 
Flaxseed and its components reduce metastasis after surgical excision of solid human breast tumor in nude mice
.
Cancer Lett
2006
;
234
:
168
75
.
17
Wang
L
,
Chen
J
,
Thompson
LU
. 
The inhibitory effect of flaxseed on the growth and metastasis of estrogen receptor negative human breast cancer xenografts is attributed to both its lignan and oil components
.
Int J Cancer
2005
;
116
:
793
8
.
18
Pietinen
P
,
Stumpf
K
,
Männistö
S
, et al
. 
Serum enterolactone and risk of breast cancer: a case-control study in eastern Finland
.
Cancer Epidemiol Biomarkers Prev
2001
;
10
:
339
44
.
19
Linseisan
J
,
Piller
R
,
Hermann
S
, et al
. 
Dietary phytoestrogen intake and premenopausal breast cancer risk in a German case-control study
.
Int J Cancer
2004
;
110
:
284
90
.
20
McCann
SE
,
Muti
P
,
Vito
D
, et al
. 
Dietary lignan intakes and risk of pre- and postmenopausal breast cancer
.
Int J Cancer
2004
;
111
:
440
3
.
21
Boccardo
F
,
Lunardi
G
,
Guglielmini
P
, et al
. 
Serum enterolactone levels and the risk of breast cancer in women with palpable cysts
.
Eur J Cancer
2004
;
40
:
84
9
.
22
Zeleniuch-Jacquotte
A
,
Adlercreutz
H
,
Shore
RE
, et al
. 
Circulating enterolactone and risk of breast cancer: a prospective study in New York
.
Br J Cancer
2004
;
91
:
99
105
.
23
Olsen
A
,
Knudsen
KE
,
Thomsen
BL
, et al
. 
Plasma enterolactone and breast cancer incidence by estrogen receptor status
.
Cancer Epidemiol Biomarkers Prev
2004
;
13
:
2084
9
.
24
Piller
R
,
Verla-Tebit
E
,
Wang-Gohrke
S
, et al
. 
CYP17 genotype modifies the association between lignan supply and premenopausal breast cancer risk in humans
.
J Nutr
2006
;
136
:
1596
603
.
25
McCann
SE
,
Kulkarni
S
,
Trevisan
M
, et al
. 
Dietary lignan intakes and risk of breast cancer by tumor estrogen receptor status
.
Breast Cancer Res Treat
2006
;
99
:
309
11
.
26
Thanos
J
,
Cotterchio
M
,
Boucher
BA
, et al
. 
Adolescent dietary phytoestrogen intake and breast cancer risk (Canada)
.
Cancer Causes Control
2006
;
17
:
1253
61
.
27
Touillaud
MS
,
Thiébaut
AC
,
Fournier
A
, et al
. 
Dietary lignan intake and postmenopausal breast cancer risk by estrogen and progesterone receptor status
.
J Natl Cancer Inst
2007
;
99
:
475
86
.
28
Sonestedt
E
,
Ericson
U
,
Gullberg
B
, et al
. 
Variation in fasting and non-fasting serum enterolactone concentrations in women of the Malmö Diet and Cancer cohort
.
Eur J Clin Nutr
2008
;
62
:
1005
9
.
29
Suzuki
R
,
Rylander-Rudqvist
T
,
Saji
S
, et al
. 
Dietary lignans and postmenopausal breast cancer risk by oestrogen receptor status: a prospective cohort study of Swedish women
.
Br J Cancer
2008
;
98
:
636
40
.
30
Cotterchio
M
,
Boucher
BA
,
Kreiger
N
, et al
. 
Dietary phytoestrogen intake—lignans and isoflavones—and breast cancer risk (Canada)
.
Cancer Causes Control
2008
;
19
:
259
72
.
31
Sonestedt
E
,
Borgquist
S
,
Ericson
U
, et al
. 
Enterolactone is differently associated with estrogen receptor β-negative and ER-positive breast cancer in a Swedish nested case-control study
.
Cancer Epidemiol Biomarkers Prev
2008
;
17
:
3241
51
.
32
Velentzis
LS
,
Cantwell
MM
,
Cardwell
C
, et al
. 
Lignans and breast cancer risk in pre- and post-menopausal women: meta-analyses of observational studies
.
Br J Cancer
2009
;
100
:
1492
8
.
33
Kilkkinen
A
,
Stumpf
K
,
Pietinen
P
, et al
. 
Determinants of serum enterolactone concentration
.
Am J Clin Nutr
2001
;
73
:
1094
100
.
34
Kilkkinen
A
,
Pietinen
P
,
Klaukka
T
, et al
. 
Use of oral antimicrobials decreases serum enterolactone concentration
.
Am J Epidemiol
2002
;
155
:
472
7
.
35
Lampe
JW
. 
Isoflavonoid and lignan phytoestrogens as dietary biomarkers
.
J Nutr
2003
;
133
:
956
64S
.
36
French
MR
,
Thompson
LU
,
Hawker
GA
. 
Validation of a phytoestrogen food frequency questionnaire with urinary concentrations of isoflavones and lignan metabolites in premenopausal women
.
J Am Coll Nutr
2007
;
26
:
76
82
.
37
Morisset
AS
,
Lemieux
S
,
Veilleux
A
, et al
. 
Impact of a lignan-rich diet on adiposity and insulin sensitivity in post-menopausal women
.
Br J Nutr
2009
;
102
:
195
200
.
38
McCann
SE
,
Moysich
KB
,
Freudenheim
JL
, et al
. 
The risk of breast cancer associated with dietary lignans differs by CYP17 genotype in women
.
J Nutr
2002
;
132
:
3036
41
.
39
Feigelson
HS
,
Shames
LS
,
Pike
MC
,
Coetzee
GA
,
Stanczyk
FZ
,
Henderson
BE
. 
Cytochrome P450c17α gene (CYP17) polymorphism is associated with serum estrogen and progesterone concentrations
.
Cancer Res
1998
;
58
:
585
7
.
40
Preston-Martin
S
,
Pike
MC
,
Ross
RK
, et al
. 
Increased cell division as a cause of human cancer
.
Cancer Res
1990
;
50
:
7415
21
.
41
Shaaban
AM
,
Sloane
JP
,
West
CR
, et al
. 
Breast cancer risk in usual ductal hyperplasia is defined by estrogen receptor-α and Ki-67 expression
.
Am J Pathol
2002
;
160
:
597
604
.
42
Santisteban
M
,
Reynolds
C
,
Barr Fritcher
EG
, et al
. 
Ki67: a time-varying biomarker of risk of breast cancer in atypical hyperplasia
.
Breast Cancer Res Treat
2010
;
121
:
431
7
.
43
Urruticoechea
A
,
Smith
IE
,
Dowsett
M
. 
Proliferation marker Ki-67 in early breast cancer
.
J Clin Oncol
2005
;
23
:
7212
20
.
44
Dowsett
M
,
Smith
IE
,
Ebbs
SR
, et al
. 
Prognostic value of Ki67 expression after short-term presurgical endocrine therapy for primary breast cancer
.
J Natl Cancer Inst
2007
;
99
:
167
70
.
45
Fabian
CJ
,
Kimler
BF
,
Zalles
CM
, et al
. 
Short-term breast cancer prediction by random periareolar fine-needle aspiration cytology and the Gail risk model
.
J Natl Cancer Inst
2000
;
92
:
1217
27
.
46
Khan
QJ
,
Kimler
BF
,
Clark
J
, et al
. 
Ki-67 expression in benign breast ductal cells obtained by random periareolar fine needle aspiration
.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
786
9
.
47
Masood
S
,
Frykberg
ER
,
McLellan
GL
, et al
. 
Prospective evaluation of radiologically directed fine needle aspiration biopsy of nonpalpable breast lesions
.
Cancer
1990
;
66
:
1480
7
.
48
Zalles
C
,
Kimler
BF
,
Kamel
S
, et al
. 
Cytologic patterns in random aspirates from women at high and low risk for breast cancer
.
Breast J
1995
;
1
:
343
9
.
49
Fabian
CJ
,
Kimler
BF
,
Mayo
MS
, et al
. 
Breast-tissue sampling for risk assessment and prevention
.
Endocr Relat Cancer
2005
;
12
:
185
213
.
50
Eliasson
C
,
Kamal-Eldin
A
,
Andersson
R
, et al
. 
High-performance liquid chromatographic analysis of secoisolariciresinol diglucoside and hydroxycinnamic acid glucosides in flaxseed by alkaline extraction
.
J Chromatogr A
2003
;
1012
:
151
9
.
51
Almada
AL
. 
SDG precision standardized flaxseed extract
.
Scientific Research Monograph
; 
2003
.
Available from: www.lignan.com
.
52
Gail
MH
,
Brinton
LA
,
Byar
DP
, et al
. 
Projecting individualized probabilities of developing breast cancer for white females who are being examined annually
.
J Natl Cancer Inst
1989
;
81
:
1879
86
.
53
Dabrosin
C
. 
Increase of free insulin-like growth factor-1 in normal human breast in vivo late in the menstrual cycle
.
Breast Cancer Res Treat
2003
;
80
:
193
8
.
54
Micheli
A
,
Muti
P
,
Secreto
G
, et al
. 
Endogenous sex hormones and subsequent breast cancer in premenopausal women
.
Int J Cancer
2004
;
112
:
312
8
.
55
Vermeulen
A
,
Verdonck
L
,
Kaufman
JM
. 
A critical evaluation of simple methods for the estimation of free testosterone in serum
.
J Clin Endocrinol Metab
1999
;
84
:
3666
72
.
56
Endogenous Hormones and Breast Cancer Collaborative Group
. 
Free estradiol and breast cancer risk in postmenopausal women: comparison of measured and calculated values
.
Cancer Epidemiol Biomarkers Prev
2003
;
12
:
1457
61
.
57
Byng
JW
,
Boyd
NF
,
Fishell
E
, et al
. 
The quantitative analysis of mammographic densities
.
Phys Med Biol
1994
;
39
:
1629
38
.
58
Setchell
KDR
,
Childress
C
,
Zimmer-Nechemias
L
, et al
. 
Method for measurement of dietary secoisolariciresinol using HPLC with multichannel electrochemical detection
.
J Med Food
1999
;
2
:
193
8
.
59
Setchell
KD
,
Lawson
AM
,
McLaughlin
LM
, et al
. 
Measurement of enterolactone and enterodiol, the first mammalian lignans, using stable isotope dilution and gas chromatography mass spectrometry
.
Biomed Mass Spectrom
1983
;
10
:
227
35
.
60
Thompson
LU
,
Chen
JM
,
Li
T
, et al
. 
Dietary flaxseed alters tumor biological markers in postmenopausal breast cancer
.
Clin Cancer Res
2005
;
11
:
3828
35
.
61
Prasad
K
. 
Antioxidant activity of secoisolariciresinol diglucoside-derived metabolites, secoisolariciresinol, enterodiol, and enterolactone
.
Int J Angiol
2000
;
9
:
220
5
.
62
Tan
KP
,
Chen
J
,
Ward
WE
, et al
. 
Mammary gland morphogenesis is enhanced by exposure to flaxseed or its major lignan during suckling in rats
.
Exp Biol Med
2004
;
229
:
147
57
.
63
Vissac-Sabatier
C
,
Coxam
V
,
Déchelotte
P
, et al
. 
Phytoestrogen-rich diets modulate expression of Brca1 and Brca2 tumor suppressor genes in mammary glands of female Wistar rats
.
Cancer Res
2003
;
63
:
6607
12
.
64
Adlercreutz
H
,
Bannwart
C
,
Wahala
K
, et al
. 
Inhibition of human aromatase by mammalian lignans and isoflavonoid phytoestrogens
.
J Steroid Biochem Mol Biol
1993
;
44
:
147
53
.
65
Brooks
JD
,
Thompson
LU
. 
Mammalian lignans and genistein decrease the activities of aromatase and 17β-hydroxysteroid dehydrogenase in MCF-7 cells
.
J Steroid Biochem Mol Biol
2005
;
94
:
461
7
.
66
Yokota
T
,
Matsuzaki
Y
,
Koyama
M
, et al
. 
Sesamin, a lignan of sesame, down-regulates cyclin D1 protein expression in human tumor cells
.
Cancer Sci
2007
;
98
:
1447
53
.
67
Fukumitsu
S
,
Aida
K
,
Ueno
N
, et al
. 
Flaxseed lignan attenuates high-fat diet-induced fat accumulation and induces adiponectin expression in mice
.
Br J Nutr
2008
;
100
:
669
76
.
68
Kim
K
,
Baek
A
,
Hwang
J
, et al
. 
Adiponectin-activated AMPK stimulates dephosphorylation at AKT through protein phosphatase 2A activation
.
Cancer Res
2009
;
69
:
4018
26
.
69
Power
KA
,
Chen
JM
,
Saarinen
NM
, et al
. 
Changes in biomarkers of estrogen receptor and growth factor signaling pathways in MCF-7 tumors after short- and long-term treatment with soy and flaxseed
.
J Steroid Biochem Mol Biol
2008
;
112
:
13
9
.
70
Youngren
JF
,
Gable
K
,
Penaranda
C
, et al
. 
Nordihydroguaiaretic acid (NDGA) inhibits the IGF-1 and c-erbB2/HER2/neu receptors and suppresses growth in breast cancer cells
.
Breast Cancer Res Treat
2005
;
94
:
37
46
.
71
Boyd
NF
,
Byng
JW
,
Jong
RA
, et al
. 
Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study
.
J Natl Cancer Inst
1995
;
87
:
670
5
.
72
Stuedal
A
,
Gram
IT
,
Bremnes
Y
, et al
. 
Plasma levels of enterolactone and percentage mammographic density among postmenopausal women
.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
2154
9
.
73
Khan
QJ
,
Kimler
BF
,
O'Dea
AP
, et al
. 
Mammographic density does not correlate with Ki-67 expression or cytomorphology in benign breast cells obtained by random periareolar fine needle aspiration from women at high risk for breast cancer
.
Breast Cancer Res
2007
;
9
:
R35
.
74
Stomper
PC
,
Penetrante
RB
,
Edge
SB
, et al
. 
Cellular proliferative activity of mammographic normal dense and fatty tissue determined by DNA S phase percentage
.
Breast Cancer Res Treat
1996
;
37
:
229
36
.
75
Hawes
D
,
Downey
S
,
Pearce
CL
, et al
. 
Dense breast stromal tissue shows greatly increased concentration of breast epithelium but no increase in its proliferative activity
.
Breast Cancer Res
2006
;
8
:
R24
.
76
Cuzick
J
,
Warwick
J
,
Pinney
E
, et al
. 
Tamoxifen and breast density in women at increased risk of breast cancer
.
J Natl Cancer Inst
2004
;
96
:
621
8
.
77
Kimler
BF
,
Ursin
G
,
Fabian
CJ
, et al
. 
Effect of the third generation selective estrogen receptor modulator arzoxifene on mammographic breast density [abstract 562]
.
J Clin Oncol
2006
;
24
:
18s
.
78
Cigler
T
,
Yaffe
MJ
,
Johnston
D
, et al
. 
A placebo-controlled trial examining the effects of letrozole on mammographic breast density and bone and lipid metabolism [abstract 2082]
.
San Antonio Breast Cancer Symposium
, 
2007
.
79
Fabian
CJ
,
Kimler
BF
,
Zalles
CM
, et al
. 
Reduction in proliferation with six months of letrozole in women on hormone replacement therapy
.
Breast Cancer Res Treat
2007
;
106
:
75
84
.
80
Kimler
BF
,
Metheny
T
,
Hughes
J
, et al
. 
Validation of Ki-67 as a response biomarker in prevention trials of women at high risk for development of breast cancer [abstract 2993]
.
Proceedings of the 100th Annual Meeting of the American Association for Cancer Research, April 18-22, 2009, Denver, Colorado
.
Philadelphia (PA)
:
AACR
; 
2009
, p.
723
4
.
81
Ibarra-Drendall
C
,
Wilke
LG
,
Zalles
C
, et al
. 
Reproducibility of random periareolar fine needle aspiration in a multi-institutional Cancer and Leukemia Group B (CALGB) cross-sectional study
.
Cancer Epidemiol Biomarkers Prev
2009
;
18
:
1379
85
.
82
Goss
PE
,
Li
T
,
Theriault
M
, et al
. 
Effects of dietary flaxseed in women with cyclical mastalgia
.
Breast Cancer Res Treat
2000
;
64
:
49
.
83
Rosolowich
V
,
Saettler
E
,
Szuck
B
, et al
,
Society of Obstetricians and Gynecologists of Canada (SOGC)
. 
Mastalgia
.
J Obstet Gynaecol Can
2006
;
28
:
49
71
.