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

Insulin-like growth factors (IGFs) and insulin-like growth factor-binding proteins (IGFBPs) play a role in the normal development of breast tissue and possibly in the etiology of breast cancer. Breast density is one of the strongest predictors of breast cancer. In a cross-sectional analysis within the Nurses' Health Study, we compared the associations of plasma levels of endogenous IGF-I and IGFBP-3 with breast density in 65 premenopausal and 192 postmenopausal women. The digitized film screen mammograms were evaluated by the computer-assisted Toronto method, in which visually selected gray-scale cut points are used to assess breast density. Generalized linear models and Spearman's partial correlation coefficients described the associations between breast density and IGF-I, IGFBP-3, and the IGF-I:IGFBP-3 ratio. Premenopausal breast density was positively correlated with IGF-I and inversely correlated with IGFBP-3; the association was strongest for the IGF-I:IGFBP-3 ratio and breast density (r = 0.39; P = 0.004). In contrast, the correlation between breast density and the IGF-I:IGFBP-3 ratio among postmenopausal women was -0.02 (P = 0.83). The associations of IGF-I:IGFBP-3 ratio with breast density differed significantly between premenopausal and postmenopausal women (P = 0.01). Mammographic density is positively associated with plasma IGF-I levels and inversely associated with plasma IGFBP-3 levels among premenopausal women, but not among postmenopausal women. These results are consistent with previous studies that showed a positive association between a higher IGF-I:IGFBP-3 ratio and subsequent risk of breast cancer only among premenopausal women. The findings raise the possibility that premenopausal levels of IGF-I and IGFBP-3 could be in the etiological pathway that relates higher breast density with increased breast cancer risk.     

The insulin-like growth factor system and mammographic features in premenopausal and postmenopausal women.

High levels of circulating insulin-like growth factor-I (IGF-I) and its major binding protein (IGFBP-3) at premenopausal ages have been associated with an increased breast cancer risk. We conducted a cross-sectional study (215 premenopausal women and 241 after natural menopause) nested within the Guernsey prospective studies to examine the relationship between the IGF system and mammographic features of the breast. The mammographically dense area in the breast increased with increasing serum levels of IGF-I (P for linear trend, P(t) = 0.05), IGF-II (P(t) = 0.08), and IGFBP-3 (P(t) = 0.01) only in premenopausal women. IGF-II and IGFBP-3 serum levels were associated with increases in the mammographically lucent area in both premenopausal (P(t) = 0.01 and 0.04, respectively) and postmenopausal women (P(t) < 0.001 for both), but these associations were no longer statistically significant after adjustment for body mass index and waist circumference. Neither the IGF-I/IGFBP-3 nor the IGF-II/IGFBP-3 molar ratio was associated with any of these mammographic features. The number of A alleles at a polymorphic locus in the promoter region of the IGFBP-3 gene was associated with increasing mean IGFBP-3 levels in both premenopausal (P(t) = 0.01) and postmenopausal (P(t) <0.001) women but not with mammographically dense area. These results support the hypothesis that the IGF system may affect the amount of mammographically dense tissue in premenopausal women, possibly by promoting cell proliferation and inhibiting apoptosis in the fibroglandular tissue. The findings also show strong relations between IGF-II and IGFBP-3 levels and the amount of mammographically lucent tissue, reflecting the associations between body adiposity and amount of fat tissue in the breast and between body adiposity and circulating levels of these growth factors.     

A prospective study of serum insulin-like growth factor-I (IGF-I), IGF-II, IGF-binding protein-3 and breast cancer risk

The associations between serum concentrations of insulin-like growth factor-I (IGF-I), IGF-II and IGF-binding proteins (IGFBP)-3 and risk of breast cancer were investigated in a nested case-control study involving 117 cases (70 premenopausal and 47 postmenopausal at blood collection) and 350 matched controls within a cohort of women from the island of Guernsey, UK. Women using exogenous hormones at the time of blood collection were excluded. Premenopausal women in the top vs bottom third of serum IGF-I concentration had a nonsignificantly increased risk for breast cancer after adjustment for IGFBP-3 (odds ratio (OR) 1.71; 95% confidence interval (CI): 0.74-3.95; test for linear trend, P=0.21). Serum IGFBP-3 was associated with a reduction in risk in premenopausal women after adjustment for IGF-I (top third vs the bottom third: OR 0.49; 95% CI: 0.21-1.12, P for trend=0.07). Neither IGF-I nor IGFBP-3 was associated with risk in postmenopausal women and serum IGF-II concentration was not associated with risk in pre- or postmenopausal women. These data are compatible with the hypothesis that premenopausal women with a relatively high circulating concentration of IGF-I and low IGFBP-3 are at an increased risk of developing breast cancer.     

A polymorphic locus in the promoter region of the IGFBP3 gene is related to mammographic breast density.

BACKGROUND: Mammographic breast density is a significant risk factor for breast cancer. Women with dense tissue accounting for more than 60-75% of the area of the breast have a 4- to 6-fold increase in their risk of breast cancer, compared to women with little or no breast density. A high circulating level of insulin-like growth factor-I (IGF-I) and low IGF binding protein 3 (IGFBP-3) level have been associated with increased breast density in premenopausal women. Genetic polymorphisms in the IGF1 and IGFBP3 genes may influence breast and serum levels of these growth factors. The aims of this study were to determine whether polymorphic variations in the IGF1 and IGFBP3 genes are associated with breast density, and serum IGF-I and IGFBP-3 levels, and whether serum IGF-I and IGFBP-3 levels are associated with mammographic density. METHODS: A total of 441 white women, recruited from Women's College Hospital (Toronto, Ontario), enrolled in this study. Each woman completed a questionnaire, detailing information on age, menstrual history, hormone use, diet, and medical and mammography history. Blood samples were taken for DNA extraction to genotype the subjects for polymorphic variants in the two candidate genes, and for measurement of circulating levels of IGF-I and IGFBP-3. Mammographic films were retrieved from Women's College Hospital and digitized using a laser film scanner. The digitized images were assessed for breast density using a computer-assisted method. RESULTS: There was a positive association between serum IGFBP-3 levels and the number of A alleles at a previously described polymorphic locus in the promoter region of the IGFBP3 gene among premenopausal women (P = 0.01). There was also a positive trend in the mean percentage of breast density by the number of A alleles of the IGFBP3 gene among premenopausal women (P = 0.0005). Women with two A alleles had a 5-fold increase in the odds of having a percentage of breast density greater or equal to 28%, compared with women with no A allele (P = 0.002). However, there was no association between serum IGF-I and IGFBP-3 levels and breast density among premenopausal women (P > 0.05). CONCLUSIONS: This is the first study to report a strong relationship between a polymorphic gene locus (IGFBP3) and mammographic breast density. However, we could not confirm an association between serum IGF-I levels and breast density among premenopausal women, as demonstrated in previous studies.     

Premenopausal levels of circulating insulin-like growth factor I and the risk of postmenopausal breast cancer

Increased levels of insulin-like growth factor I (IGF-I) may directly stimulate breast cell proliferation and promote growth and survival of transformed cells. Higher levels of IGF-I have been associated with increased risk of premenopausal breast cancer but not postmenopausal breast cancer. We investigated whether circulating levels of IGF-I prior to menopause are associated with breast cancer diagnosed after menopause in a population-based nested case-control study. Female cohort participants were enrolled in 1974 (n = 15,192) and 1989 (n = 18,724) and blood was drawn. Cases were women diagnosed with primary breast cancer at ages > or =50, of whom 152 were premenopausal at blood draw. One control was matched to each case on cohort participation, age, ethnic group, menopausal status and date of blood draw. Levels of IGF-I and IGF binding protein 3 (IGFBP-3) were measured using enzyme-linked immunoabsorbent assays. The association between IGF-I and breast cancer was determined using conditional logistic regression, adjusting for IGFBP-3. IGF-I levels decreased with age (p = 0.0001). Prior to age-stratification, IGF-I levels neither measured before nor after menopause were associated with postmenopausal breast cancer. After age-stratification, associations were suggested in the youngest premenopausal age group (upper vs. lowest third: odds ratio (OR) = 5.31, 95% confidence intervals (CI) = 0.85-33.13; p trend = 0.06) and oldest postmenopausal age group (upper vs. lowest third: OR = 3.41, 95% CI = 0.66-17.71; p trend = 0.13). The association between circulating levels of IGF-I and postmenopausal breast cancer risk may be modified by age. Increased levels of circulating IGF-I may be of particular interest in the younger premenopausal women and older postmenopausal women. Age-stratification should be undertaken in larger investigations of IGF-I levels as predictors of postmenopausal breast cancer.     

Insulin-like growth factor-I, IGF-binding protein-3, and mammographic breast density.

Some studies have suggested that insulin-like growth factor (IGF) pathway is related to premenopausal breast density, one of the strongest known breast cancer risk factors. This study was designed specifically to test the hypothesis that higher levels of IGF-I and lower levels of IGF-binding protein (IGFBP)-3 are associated with high mammographic breast density among premenopausal but not among postmenopausal women. A total of 783 premenopausal and 791 postmenopausal healthy women were recruited during screening mammography examinations. Blood samples were collected at the time of mammography, and plasma IGF-I and IGFBP-3 levels were measured by ELISA. Mammographic breast density was estimated using a computer-assisted method. Spearman's partial correlation coefficients (r(s)) were used to evaluate the associations. Adjusted mean breast density was assessed by joint levels of IGF-I and IGFBP-3 using generalized linear models. Among premenopausal women, high levels of IGF-I and low levels of IGFBP-3 were independently correlated with high breast density (r(s) = 0.083; P = 0.021 and r(s) = -0.124; P = 0.0005, respectively). Correlation of IGF-I with breast density was stronger among women in the lowest tertile of IGFBP-3 than among those in the highest tertile of IGFBP-3 (r(s) = 0.138; P = 0.027 and r(s) = -0.039; P = 0.530, respectively). In contrast, the correlation of IGFBP-3 with breast density was stronger among women in the highest tertile of IGF-I than among those in the lowest tertile of IGF-I (r(s) = -0.150; P = 0.016 and r(s) = -0.008; P = 0.904, respectively). Women in the combined top tertile of IGF-I and bottom tertile of IGFBP-3 had higher mean breast density than those in the combined bottom tertile of IGF-I and top tertile of IGFBP-3 (53.8% versus 40.9%; P = 0.014). No significant association was observed among postmenopausal women. Our findings confirm that IGF-I and IGFBP-3 are associated with breast density among premenopausal women. They provide additional support for the idea that, among premenopausal women, these growth factors may affect breast cancer risk, at least in part, through their influence on breast tissue morphology as reflected on mammogram.     

Insulin-like growth factor and mammographic density in postmenopausal Norwegian women.

Insulin-like growth factor-I (IGF-I) is associated with breast cancer risk among premenopausal women but rarely among postmenopausal women. Recent data from two European studies suggested an increased risk of breast cancer with increasing levels of IGF-I among women >50 years old or among postmenopausal hormone therapy users >or=55 years old. Mammographic density is one of the strongest risk factors, and possibly an intermediate marker, for breast cancer. We examined the relationship between IGF and mammographic density among postmenopausal women overall and according to hormone therapy use. Altogether, 977 postmenopausal participants in the Norwegian governmental mammographic screening program had IGF concentrations measured by ELISA. Mammograms were classified according to percent and absolute mammographic densities using a previously validated computer-assisted method. After adjustment for age, number of children, age at menopause, body mass index, and hormone therapy use, both plasma IGF-I concentration (P(trend) = 0.02) and IGF-I/IGF binding protein 3 ratio (P(trend) = 0.02) were positively associated with percent mammographic density. The magnitudes of differences in percent mammographic density between women in the lowest and highest quartiles of IGF-I concentrations were 1.5% absolute difference and 21% relative difference. These associations were similar with absolute mammographic density as the outcome variable. When the analyses were stratified according to hormone therapy use, the associations between IGF-I and mammographic density were significant among noncurrent users (P(trend) = 0.03). In conclusion, we found a positive but weak association between plasma IGF-I concentrations and both percent and absolute mammographic densities among postmenopausal women. These associations were found among noncurrent hormone therapy users but not among current users.     

Common genetic variation in the <Emphasis Type="Italic">IGF-1</Emphasis> gene,serum IGF-I levels and breast density

Introduction High breast density is one of the strongest known risk factors for developing breast cancer. Insulin-like growth factor I (IGF-I) is a strong mitogen and has been suggested to increase breast cancer risk by increasing the amount of dense tissue in the female breast. Objectives We wanted to investigate the effect of common variation in the IGF-1 gene on serum IGF-I levels and on breast density. Design and methods Mammograms and blood samples of 1,928 premenopausal participants of the Dutch Prospect-EPIC cohort were collected at baseline. Using a haplotype tagging approach, 16 single nucleotide polymorphisms (SNP) from three blocks covering the IGF-1 gene were genotyped in all study participants. Breast density was assessed using a quantitative computer-assisted method. For a subgroup of women, who went through menopause within 5 years after recruitment (n = 656), premenopausal IGF-I levels and additionally postmenopausal breast density were determined. False positive report probabilities (FPRP) for statistically significant relations were calculated using the Wacholder method. Results The minor alleles of five SNPs in block 3 were significantly associated with elevated levels of IGF-I (rs9989002, rs2033178, rs7136446, rs978458, rs6220; P-values: 0.01–0.04). The same SNPs were related with modestly higher percent breast density before menopause and—in the subgroup of women that became postmenopausal during follow-up—with a modestly higher percent breast density after menopause. The most significant result, i.e. the relation between rs6220 and IGF-I levels, had an FPRP  <0.5 assuming prior probabilities of 0.01 and higher. Conclusion Common genetic variation in the IGF-1 gene is related to circulating levels of IGF-I, but the relationship with breast density is indecisive.     

Associations of mammographic density with dietary factors in Japanese women.

BACKGROUND: A high percentage of mammographic dense area has been strongly associated with a risk of beast cancer. The present cross-sectional study evaluated the relations of percent density with dietary factors, such as fats, protein, dietary fiber, and soy isoflavones. METHODS: Study subjects were 601 (348 premenopausal and 253 postmenopausal) Japanese women who were recruited from a mammographic screening center. The size of the total breast area and the dense area were measured quantitatively using an automated mammographic mass detection method. Intakes of nutrients were estimated with a validated semiquantitative food-frequency questionnaire. RESULTS: The crude means of the percent density were 39.2% and 18.9% in premenopausal and postmenopausal women, respectively. There were no significant associations of any dietary factors with the percent density in premenopausal women. In postmenopausal women, percent density was significantly positively associated with intakes of protein, total fat, and saturated fat after controlling for covariates; the increase in the means of percent density were 7.2%, 5.6%, and 9.2% in the highest versus lowest quartile of intakes for protein, total fat, and saturated fat, respectively (P for linear trend were 0.006, 0.04, and 0.01, respectively). Carbohydrate intake was inversely associated with percent density; the mean of percent density was 6.0% lower in the highest versus the lowest quartile of intake (P(trend) = 0.03). The associations of dietary factors with dense area were very similar to those with percent density. CONCLUSION: These dietary factors may have implications for the risk of breast cancer in postmenopausal women.     

Insulin-like growth factor I (IGF-I), IGF-binding proteins, and breast cancer.

Epidemiological evidence supports a role for the insulin-like growth factors (IGFs) and their binding proteins (IGFBPs) in the induction and progression of various cancers. Estrogen, which plays a role in the etiology of breast cancer, both regulates and is influenced by the IGF family. Risk of breast cancer associated with serum levels of IGF-I and/or IGFBPs may therefore depend upon menopausal status. A nested, case-control study was conducted on 66 women who were premenopausal and 60 who were postmenopausal at the time of diagnosis of primary breast cancer; they were selected from a cohort of 95,000 women who underwent multiphasic health check-ups > 30 years ago when enrolled in the Kaiser Permanente Medical Care Program. For each case, one control who matched by age, date of examination, and length of follow-up was chosen. Concentrations of IGF-I, insulin, glucose, and IGFBP-1, IGFBP-2, and IGFBP-3 in serum drawn at least 2 years before diagnosis (mean times of 10.5 and 15.8 years for pre- and postmenopausal cases, respectively) were compared using conditional logistic regression analysis. All statistical tests were two-sided. Serum IGF-I, adjusted for insulin, glucose, and body mass index, was weakly associated with breast cancer risk across quartiles for premenopausal women only (P for trend = 0.05). Serum IGFBP-3 was higher in premenopausal cases versus controls (P = 0.04) and showed a positive trend in risk for increasing quartiles (P for trend = 0.033). After adjusting for insulin, glucose, body mass index, and IGF-I, premenopausal women in the highest quartile of IGFBP-3 had an elevated risk of breast cancer [odds ratio (OR) = 5.28, 95% confidence interval (CI) = 1.13-24.7]. Conversely, IGFBP-3 was lower in postmenopausal cases versus controls (P = 0.04) but showed no significant trend in risk. Postmenopausal women with glucose levels in the diabetic range were at increased risk for developing breast cancer (OR = 2.06, 95% CI = 0.87-4.91), whereas those in the highest quartile of IGFBP-2 had a substantial reduction (71%) in risk relative to those in the lowest quartile (OR = 0.29, 95% CI = 0.09-0.92). Serum IGFBP-1 was not associated with breast cancer risk in either pre- or postmenopausal women. In premenopausal women, elevated serum IGF-I and IGFBP-3 are associated with increased breast cancer risk, whereas elevated serum IGFBP-2 is inversely associated with risk of postmenopausal breast cancer.     

Obesity and body fat distribution and breast cancer prognosis

This study addresses the effect of obesity and body fat distribution on axillary lymph node involvement, tumor size, and estrogen receptor (ER) level in breast cancer patients. Anthropometric measurements were prospectively obtained on 248 consecutively and newly diagnosed women with invasive breast cancer. The anthropometric measurements evaluated were abdomen, thigh, subscapular, and midaxillary skinfolds; weight; and height. Weight and Quetelet Index (kg/m2) were significantly (P = 0.001) associated with lymph node involvement in postmenopausal patients. The abdomen:thigh skinfold ratio was significantly higher in premenopausal patients (P = 0.004) and postmenopausal (P = 0.03) without axillary node involvement compared with women with 4+ axillary node involvement. The abdomen:thigh skinfold was higher (P = 0.05) in women with smaller breast cancers (less than 2.0 cm) and higher ER levels. Weight and Quetelet Index did not affect tumor size or ER level. This study demonstrated that obese postmenopausal women who developed breast cancer tend to have more axillary node involvement than their leaner counterparts. Generalized obesity did not affect tumor size or ER level. Premenopausal and postmenopausal women with upper body fat distribution appear to be a subset of women who have a more favorable prognosis as measured by less lymph node involvement, smaller tumors, and higher levels of ER in their tumors.     

Associations of breast cancer risk factors with breast density in Hispanic women.

Although there has been much research on the factors associated with breast density, most studies did not include Hispanic women or relied on semiquantitative methods of assessing density. Using data from the Chicago Breast Health Project, which targeted Hispanic women and assessed density quantitatively using full-field digital mammography, we assessed cross-sectional associations of breast cancer risk factors with percentage of breast density. Between November 2000 and June 2002, 296 Hispanic women recruited from three community health centers in Chicago, Illinois completed a health and lifestyle questionnaire, had their height and weight measured, and underwent screening mammography. The average percentage of total breast area occupied by fibroglandular tissue was computed from each mammographic view. Associations of breast cancer risk factors with percentage of breast density were assessed using multivariate linear regression analyses. Overall, the mean percentage of breast density was 17.6%. In multivariate analysis, older age was associated with lower density (P = 0.03), and density was lower among postmenopausal than premenopausal women (beta = 5.2%; P = 0.002). Body mass index was significantly inversely related to percentage of breast density (P < 0.00001). Women currently taking hormone replacement therapy had a higher percentage of breast density (beta = 3.3%; P = 0.03). In premenopausal women, cigarette smokers had a marginally higher percentage of density (beta = 6.23%; P = 0.06) compared with nonsmokers, but there was no relationship for postmenopausal women. Other breast cancer risk factors were not associated with density. In summary, breast density was strongly and inversely associated with age, body mass index, and menopausal status, and positively associated with hormone replacement therapy use and cigarette smoking. Additional research focusing on relationships of other, potentially modifiable, factors with the extent of breast density is warranted to better understand the interindividual variability in density among Hispanic women.     

Adiposity,adult weight gain and mammographic breast density in US Chinese women

The association of adiposity with dense tissue area in the breast is unclear, but suggests a mechanism by which adiposity might increase breast cancer risk. We examined associations of body mass index (BMI), usual BMI from age 20 to 29, waist circumference and adult weight gain with breast density in a sample of premenopausal United States Chinese immigrant women. Analyses included 415 participants in a longitudinal breast density study in Philadelphia. In addition to detailed questionnaire information, data collection included measures of anthropometry, and assessment of mammographic breast density using a computer‐assisted method. We used multivariate linear regression to quantify cross‐sectional associations with dense and nondense tissue area and percent breast density assessed at baseline. In adjusted models, BMI and waist circumference were significantly positively associated with nondense tissue area and inversely associated with percent density. BMI was also significantly positively associated with dense tissue area. Adult weight gain was associated with dense tissue area after adjusting for weight from age 20 to 29. In stratified analyses, BMI and adult weight gain were significantly associated with dense tissue area among women with BMI < 23 kg/m², and BMI was associated with nondense tissue area among women with BMI ≥ 23 kg/m². In this sample, adiposity and weight gain were associated with dense breast tissue area, although associations differed by level of adiposity. Given the potential implications of these findings for breast cancer prevention in premenopausal women, comparable studies in other population groups and with longitudinal data are needed. Reasons for the noted differences in associations by level of adiposity also warrant further investigation.     

A cross-sectional investigation of breast density and insulin-like growth factor I

Our study investigated the association of breast cancer risk as assessed by mammographic density with insulin-like growth factor I (IGF-I) and one of its binding proteins (IGFBP-3) in healthy premenopausal women with different ethnic backgrounds. In a cross-sectional design, we analyzed the baseline mammograms and fasting serum samples (collected 5 days after ovulation) of premenopausal women entering a nutritional intervention. Serum concentrations of IGF-I and IGFBP-3 were measured by double-antibody ELISA. Mammographic densities were assessed using a computer-assisted method. We calculated Spearman correlation coefficients between mammographic characteristics and analytes and estimated means of mammographic characteristics by quartiles of IGF-I and IGFBP-3 while adjusting for age, body mass index (BMI) and reproductive factors. In this group of 240 women, IGF-I, IGFBP-3 and percent densities did not differ significantly by ethnicity. Whereas mammographic densities were not associated with IGF-I, we found an inverse relation with IGFBP-3 (r(s) = -0.15, p = 0.02) and a positive association with the IGF-I/IGFBP-3 ratio (r(s) = 0.13, p = 0.04). The size of the dense areas was not associated with the analytes, but the size of the nondense areas was correlated directly with IGFBP-3 (r(s) = 0.20, p = 0.002) and inversely with the molar ratio (r(s) = -0.19, p = 0.004). These associations were limited to women with a BMI of less than 25 kg/m(2). These results suggest that the balance of circulating IGF-I and IGFBP-3 levels may influence the growth of the fatty part of the breast more than the epithelial and stromal breast tissue, but the exact mechanism of action needs to be explored in more detail.     

Common genetic variation of insulin-like growth factor-binding protein 1 (IGFBP-1), IGFBP-3, and acid labile subunit in relation to serum IGF-I levels and mammographic density

Mammographic density is strongly related to increased breast cancer risk. Accumulating evidence indicates that a role for the IGF-pathway in mammographic density and breast cancer development. Here, we investigate whether common genetic variation in this pathway influences insulin-like growth factor-I (IGF-I) levels and mammographic density. In 1,916 premenopausal women within the Prospect-EPIC cohort, we examined associations of 14 haplotype tagging SNPs in the ALS, IGFBP1, and IGFBP3 genes with IGF-I circulating levels and mammographic density. In 657 women, who became postmenopausal during follow-up, we investigated how these SNPs were related with the decrease in density over menopause. Linear regression models were used for statistical analysis. None of the ALS or IGFBP3 SNPs were statistically significantly associated with IGF-I levels or mammographic density. The CC genotype for rs1908751 (IGFBP1) was associated with lower levels of IGF-I (110.9 ng/ml) compared to the CT/TT genotypes (115.7 ng/ml) (P = 0.04). Women with the CC genotype also had lower percent density, although not statistically significantly (P = 0.12). Women carrying the AA genotype for rs1995051 (IGFBP1) showed that borderline significantly lower IGF-I levels (P = 0.06) and significantly lower mammographic density (40.3% compared to 43.5% in the GG/GA genotypes; P = 0.05). No relationships were found for any of the SNPs in relation with changes in breast density over menopause. These findings suggest that common genetic variation in the IGFBP1 gene is weakly related to IGF-I levels and mammographic density. Our results do not provide support for such a role of genetic variants in the IGFBP3 and ALS genes.     

Correlates of mammogram density in southwestern Native-American women

Little is known about the breast cancer risk factors or mammogram characteristics among Native-American women. Southwestern Native-American women have a low risk of breast cancer and a high risk of diabetes. Our purpose was to determine the prevalence of known clinical risk factors for breast cancer and their association with mammogram density in a sample of Southwestern Native-American women undergoing breast cancer screening. A retrospective review was performed of screening mammogram examinations in 455 women. Density was classified by American College of Radiology Breast Imaging Reporting and Data System (BIRADS) density patterns 1 to 4 (fat to dense). Clinical data including patient age, weight, body mass index, parity, lactation, age at first birth, menopause status, hormone replacement therapy, diabetes status, and family history of breast cancer were obtained. Multivariate analyses were performed. Among the entire group, 152 women (33.4%) had diabetes. Patient age (P = 0.0012), weight (P < 0.0001), menopause status (P = 0.0134), estrogen use (P = 0.0311), age at first birth (P = 0.0035), and diabetes (P = 0.0015) were associated with mammogram density. Diabetes was associated with mammogram density in premenopausal women (P = 0.0032) but not in postmenopausal women (P = 0.3178) in stratified analyses. Diabetes, hormone replacement therapy, age, weight, menopause status, parity, and age at first birth were significantly associated with mammogram density. The association of mammogram density with diabetes varied by menopause status and was significant only for premenopausal women.     

Association of mammographic density with the pathology of subsequent breast cancer among postmenopausal women.

BACKGROUND: Limited studies have examined the associations between mammographic density and subsequent breast tumor characteristics. METHODS: Eligible women were part of a case-control study of postmenopausal breast cancer, were 40 years or older and had a routine mammogram 4 years or more before their diagnosis. Mammographic density (percent density, dense area, and nondense area) was estimated using a computer-assisted thresholding program. At the time of cancer diagnosis, cases were classified as asymptomatic or symptomatic based on medical record review and breast imaging workup. Pathologic review was done blinded to the density status. Linear regression models and tests for trend examined the association between pathologic characteristics of the breast tumor and the components of density for all participants, and stratified by symptom status at diagnosis. RESULTS: Of the 286 eligible cases, 77% were 60 years or older and mean percent density was 29.5% (SD, 14.6%). Density was not significantly associated with tumor size (P = 0.22), histologic type (P = 0.77), estrogen receptor (P = 0.11) or progesterone receptor (P = 0.37) status, mitotic activity (P = 0.12), or nuclear pleomorphism (P = 0.09; P values for percent density). An inverse association was suggested between tumor grade and percent density (32.0%, 30.3%, 26.7% for grades 1-3; P = 0.06 for trend). The inverse association with tumor grade and its components (nuclear pleomorphism and tubular differentiation) was only evident among the 97 symptomatic women; positive associations of estrogen receptor (P = 0.009) and progesterone receptor (P = 0.04) were also seen with percent density only in this subgroup. CONCLUSIONS: The inverse association between tumor grade and percent density in the symptomatic population could inform the biology of the association between mammographic density and breast cancer risk.     

IGF-I and mammographic density in four geographic locations: a pooled analysis

Insulin-like growth factor (IGF-I) and prolactin have been found to be associated with breast cancer risk and with mammographic density. In a pooled analysis from 4 geographic locations, we investigated the association of percent mammographic density with serum levels of IGF-I, IGFBP-3 and prolactin. The pooled data set included 1,327 pre- and postmenopausal women: Caucasians from Norway, Arizona and Hawaii, Japanese from Hawaii and Japan, Latina from Arizona, and Native Hawaiians from Hawaii. Serum samples were assayed for IGF-I, IGFBP-3 and prolactin levels using ELISA assays. Mammographic density was quantified using a computer-assisted density method. After stratification by menopausal status, multiple regression models estimated the relation between serum analytes and breast density. All serum analytes except prolactin among postmenopausal women differed significantly by location/ethnicity group. Among premenopausal subjects, IGF-I levels and the molar ratio were highest in Hawaii, intermediate in Japan and lowest in Arizona. For IGFBP-3, the order was reversed. Among postmenopausal subjects, Norwegian women had the highest IGF-I levels and women in Arizona had the lowest while women in Japan and Hawaii had intermediate levels. We observed no significant relation between percent density and IGF-I or prolactin levels among pre-and postmenopausal women. The significant differences in IGF-I levels by location but not ethnicity suggest that environmental factors influence IGF-I levels, whereas percent breast density varies more according to ethnic background than by location. Based on this analysis, the influence of circulating levels of IGF-I, IGFBP-3, and prolactin on percent density appears to be very small.     

Mammographic density and dietary patterns: the multiethnic cohort.

We examined the association of breast cancer risk as assessed by mammographic density with dietary patterns in a case-control study nested within the Hawaii component of the multiethnic cohort. This analysis included 3512 prediagnostic mammograms from 1250 premenopausal and postmenopausal women. Mammographic density of the breast was quantified by a computer-assisted assessment method. All study participants completed a validated Food Frequency Questionnaire at entry into the multiethnic cohort. Factor analysis was performed to extract dietary patterns. We computed covariate-adjusted mean percentage densities by quartiles of factor scores using mixed models and weights to account for breast cancer prevalence in the population. Women in this study were primarily of Caucasian, Japanese or native Hawaiian ethnicity. The mean percentage density was 33%. The following three dietary patterns were identified: 'fat and meat', 'vegetables' and 'fruit and milk'. The differences in densities across quartiles of any patterns were relatively small and did not reach statistical significance. Women who had higher scores in the 'fat and meat' pattern had higher densities than those with lower scores (34.8 vs. 32.3%, P for trend=0.21). The 'vegetables' pattern and deep-yellow vegetable intake were weakly inversely associated with densities only among Japanese women (P for trend=0.13 and 0.03, respectively). Our findings indicated that meat and plant-based nutritional patterns are related to breast density. The influence of diet on mammographic densities, however, appears to be fairly small. Analyses of both dietary patterns and single dietary factors seem equally informative in examining dietary associations with percentage density.     

血清睾酮水平与乳腺癌雌、孕激素受体表达的相关性研究

目的:回顾性研究血清睾酮（testosterone,T）水平与乳腺癌雌激素受体（estrogen receptor,ER）,孕激素受体（progesterone receptor,PR）表达的相关性。方法:回顾性分析2016年1月至2018年12月在南京市妇幼保健院进行体检和治疗的63例健康女性,99例良性肿瘤,204例乳腺癌的临床病理资料,比较三组之间的血清睾酮水平的差异。将所有204例乳腺癌患者根据睾酮水平由低到高排序,按四分位数分为4组,采用Logistic回归比较不同睾酮水平下4组乳腺癌患者ER、PR、Her2表达状态的比值比（OR）。结果:乳腺癌组血清睾酮水平与乳腺良性肿瘤组、健康对照组相比差异均无统计学意义（P＞0.05）。ER+和PR+乳腺癌患者中血清睾酮水平分别高于ER-和PR-患者,而Her2+乳腺癌患者中血清睾酮水平低于Her2-患者,差异均有统计学意义（P＜0.05）。采用Logistic回归计算OR值,根据绝经与否进一步分层,其中T≥0.44 ng/mL组相对于T≤0.22 ng/mL组ER阳性表达的总体OR值为2.46（95%CI=1.04~5.86,P=0.042）,绝经前OR值为3.77（95%CI=1.11~12.80,P=0.034）,绝经后OR值为1.05（95%CI=0.28~3.92,P=0.945）;T≥0.44 ng/mL组相对于T≤0.22 ng/mL组PR阳性表达的总体OR值为3.69（95%CI=1.60~8.49,P=0.002）,绝经前OR值为4.80（95%CI=1.51~15.23,P=0.008）,绝经后OR值为1.78（95%CI=0.47~6.71,P=0.396）,结果显示绝经前乳腺癌患者中ER、PR的阳性表达与血清睾酮水平呈现出明显的正相关性;而Her2阳性表达与血清睾酮水平在总体、绝经前、绝经后乳腺癌患者中均未表现出明显的负相关性。结论:高血清睾酮水平与乳腺癌ER、PR的阳性表达呈正相关,在绝经前乳腺癌患者中表现尤为显著。血清睾酮水平可以作为预测绝经前激素受体状态的标志物之一。