Given breast cancer, does breast size matter? Data from a prospective breast cancer cohort.

PURPOSE: Body mass index (BMI), waist-to-hip ratio (WHR), and tumor characteristics affect disease-free survival. Larger breast size may increase breast cancer risk, but its influence on disease-free survival is unclear. The purpose of this study was to elucidate whether breast size independently influenced disease-free survival in breast cancer patients. METHODS: Body measurements were obtained preoperatively from 772 breast cancer patients in a population-based ongoing cohort from southern Sweden. The research nurse measured breast volumes with plastic cups used by plastic surgeons doing breast reductions. Clinical data were obtained from patient charts and pathology reports. RESULTS: Patients with a BMI ≥ 25 kg/m(2) had larger tumors (p < 0.001) and more axillary nodal involvement (p = 0.030). Patients with a WHR > 0.85 had larger tumors (p = 0.013), more advanced histological grade (p = 0.0016), and more axillary nodal involvement (p = 0.012). Patients with right + left breast volume ≥ 850 mL were more likely to have larger tumor sizes (p = 0.018), more advanced histological grade (p = 0.031), and more axillary nodal involvement (p = 0.025). There were 62 breast cancer events during the 7-year follow-up. Breast volume ≥ 850 mL was associated with shorter disease-free survival (p = 0.004) and distant metastasis-free survival (p = 0.001) in patients with estrogen receptor (ER)-positive tumors independent of other anthropometric measurements and age. In patients with ER-positive tumors, breast size was an independent predictor of shorter disease-free (HR 3.64; 95 % CI 1.42-9.35) and distant metastasis-free survival (HR 6.33; 95 %CI 1.36-29.43), adjusted for tumor characteristics, BMI, age, and treatment. CONCLUSION: A simple and cheap anthropometric measurement with standardized tools may help identify a subgroup of patients in need of tailored breast cancer therapy.

IGFBP1 and IGFBP3 polymorphisms predict circulating IGFBP-3 levels among women from high-risk breast cancer families.

The insulin-like growth factor (IGF) pathway has been implicated as risk modifier in premenopausal breast cancer. In this study, associations between single nucleotide polymorphisms (SNPs) and diplotypes in the IGFBP1 and IGFBP3 genes and circulating IGFBP-3 levels, BRCA family status and breast cancer among women from high-risk breast cancer families were investigated. Nine IGFBP1 and IGFBP3 SNPs were genotyped with PCR-based methods in 323 women. Nine IGFBP1 and ten IGFBP3 diplotypes were identified. Plasma IGFBP-3 levels obtained during cycle day 18-23 were available for 231 women, 87 current users of combined oral contraceptives and 144 non-users. IGFBP1 (rs1995051 and rs4988515) and IGFBP3 (rs2471551 and rs2854744) SNPs were associated with circulating IGFBP-3 levels (P < 0.05). IGFBP1 (low) diplotypes were associated with lower IGFBP-3 levels and were more common in BRCA2 families OR 2.05 (95%CI 0.97-4.30). IGFBP3 (high) diplotypes were associated with higher IGFBP-3 levels and were more common in BRCAX families OR 1.68 (95%CI 1.04-2.74). After adjusting the models for BRCA family status, both the BRCA1 and BRCA2 family status (P ≤ 0.006) and the IGFBP1 diplotype GTAC/ACAT (P = 0.004) were associated with lower IGFBP-3 levels. Similarly, both the BRCA1 and BRCA2 family status (P ≤ 0.03) and the IGFBP-3 diplotypes GCA/GCG (P = 0.007) and GCG/CCG (P = 0.002) were significantly associated with lower IGFBP-3 levels, adjusted for age, weight, OC use, and other IGFBP diplotypes. No individual SNP was associated with breast cancer. There were 23 cases of breast cancer and one IGFBP1 diplotype was associated with a decreased risk of breast cancer after age 18 (log rank P=0.05). In conclusion, independent effects from IGFBP1, IGFBP3 diplotypes, and BRCA family status on IGFBP-3 levels were observed. These factors may influence the risk of breast cancer among women from high-risk breast cancer families.

Androgen receptor htSNPs in relation to androgen levels and OC use in young women from high-risk breast cancer families.

High testosterone levels have been associated with breast cancer. BRCA1 may function as an androgen receptor (AR) co-regulator. We aimed to examine AR haplotype-tagging single-nucleotide polymorphisms (AR htSNPs) and diplotypes in relation to in vivo androgen levels, combined OC use, CAG and GGC genotypes, and BRCA1/2/X family status in 269 young healthy women from breast cancer high-risk families and 56 additional BRCA1/2 mutation carriers. Testosterone, androstenedione, dehydroepiandrosterone sulfate, and body constitution were measured on cycle days 18-23. Six AR htSNPs and CAG and GGC repeat lengths were genotyped. Most OC users had lower androgen levels than non-users (all Ps<0.0001). Rare variant diplotypes were associated with higher testosterone levels in OC users than in non-users (P(interaction)=0.011). The interaction remained after adjustment for family clustering. Neither individual AR htSNPs nor other diplotypes were significantly associated with androgen levels and did not tag for CAG or GGC genotypes. In the first included woman from each family, the odds of having the most common diplotype was lower in BRCA1 families compared to other families OR 0.41 (95% CI 0.22-0.78). In conclusion, we found few associations between AR htSNPs or diplotypes and androgen levels in women. Diplotypes cannot replace genotyping of microsatellites CAG or GGC. Since testosterone levels are not affected the same way by combined OC use among all women, young women who have higher testosterone levels during combined OC use may belong to the subgroup of women who will not be helped by combined OCs for treatment of androgen-dependent conditions and may be at higher risk for early-onset breast cancer. Whether these women can be identified with AR genotyping needs to be confirmed in an independent cohort.

Natural remedy use in a prospective cohort of breast cancer patients in southern Sweden.

BACKGROUND: complementary and alternative medicine (CAM) use is common among breast cancer patients. Several CAM therapies may have negative side effects or interact with conventional therapies. We studied biologically based CAM use with and without vitamins/minerals in relation to patient and tumor characteristics as well as treatment in an ongoing prospective cohort of 855 primary breast cancer patients. METHODS: patients from two hospitals in southern Sweden were included. Pre-operative and follow-up questionnaires containing questions on food intake, lifestyle, and concomitant medications, including natural remedies, were completed up to five years postoperatively. Clinical information was obtained from clinical records and tumor characteristics from pathology reports. RESULTS: CAM and/or vitamins/minerals were used by 34.2% pre-operatively and by 57.9% during at least one visit. Over 100 different preparations were reported. At least eight of the commonly used preparations may interact with conventional breast cancer therapies. CAM users more often had a BMI <25 kg/m(2) (OR 1.76; 95%CI 1.33-2.33), were more often nulliparous (OR 1.59; 1.08-2.34), alcohol (OR 2.13; 1.44-3.14), antidepressants (OR 1.48; 1.02-2.15), and hormone therapy users (OR 1.57; 1.18-2.07), less often smokers (OR 0.71; 0.50-0.99), and consumed less coffee (OR 0.88; 0.82-0.95) than non CAM users. Tumor characteristics were not associated with CAM use. CAM use was more common among tamoxifen (OR 1.32; 1.00-1.75) and less common among chemotherapy (OR 0.63; 0.42-0.92) treated patients. Vitamins/minerals use was more common in aromatase inhibitor treated patients (OR 1.84; 1.33-2.53). There was no significant association between short-term disease-free survival and CAM use. CONCLUSION: CAM use was common and associated with certain patient characteristics. CAM use may cause clinically significant drug interactions and it is therefore of clinical interest to identify potential CAM users.

Prolactin levels, breast-feeding and milk production in a cohort of young healthy women from high-risk breast cancer families: implications for breast cancer risk.

High prolactin levels have been associated with increased breast cancer risk. Prolactin is essential for breast-feeding. Prolactin is lowered primarily by the first full-term pregnancy and not by subsequent pregnancies. The protection from breast cancer conferred by a long breast-feeding duration (>1 year) seems to be much greater for women with BRCA1 mutations (45%) than for women in the general population (4%). One study reported poor milk production to be more common in BRCA1 carriers (75%) than in non-carriers (36%). We aimed to explore the relationships between prolactin levels, breast-feeding duration, milk production and BRCA carrier status in young healthy women from high-risk breast cancer families. Questionnaires including information on reproductive factors and lifestyle were completed by 269 healthy women, aged 40 years or younger. Body measurements and plasma prolactin levels were obtained during cycle days 5-10 and 18-23. Prolactin was higher in nulliparous than in parous women (P < 0.0001). In parous women, post-lactational prolactin levels in both cycle phases were significantly negatively associated with breast-feeding duration of the first child (P < or = 0.009), but not with additional breast-feeding of subsequent children (P > or = 0.12). Prolactin was higher in women who reported insufficient versus sufficient milk production (P < or = 0.01). Neither BRCA1/2 carrier status nor increasing parity was significantly associated with prolactin, breast-feeding duration of the first child or milk production. In conclusion, post-lactational prolactin levels were determined by breast-feeding duration of the first child and not simply by the first full-term pregnancy. Since prolactin modifies the risk for breast cancer, adequate counseling in favor of breast-feeding is essential.

Clinical profiles predict early nonadherence to adjuvant endocrine treatment in a prospective breast cancer cohort.

Nonadherence to adjuvant endocrine breast cancer treatment adversely affects disease-free and overall survival. Clinical predictors of nonadherence may allow for specific interventions to reduce nonadherence and improve survival. The aim was to investigate whether clinical characteristics predict nonadherence. Clinical characteristics and information on adherence were obtained from 417 patients with breast cancer in a population-based prospective cohort from southern Sweden using patient charts, pathology reports, and questionnaires filled out at the 1- and 2-year follow-up visits. At the 1- and 2-year follow-up visits, 36 (8.6%) and 33 (9.7%) patients were nonadherent, respectively. Thirteen of the nonadherent patients declined treatment and were never prescribed endocrine treatment. A body mass index (BMI) < 25 kg/m(2), preoperative current smoking, and drinking alcohol less often than twice a month predicted nonadherence at the 1-year [relative risk (RR), 5.24; 95% confidence interval (CI), 2.75-9.97] and the 2-year visits (RR, 4.07; 95% CI, 2.11-7.84) in patients with at least two of these clinical characteristics. When low histologic grade (I) was added to the model, having at least two of these four clinical characteristics predicted nonadherence at the 1-year (RR, 4.94; 95% CI, 2.46-10.00) and the 2-year visits (RR, 4.74; 95% CI, 2.28-9.87), the two profiles had a sensitivity ranging from 60.6% to 72.7%, whereas the specificity ranged from 68.0% to 78.4%. Nonadherence at the 1-year visit was associated with an increased risk for early breast cancer events (HR, 2.97; 95% CI, 1.08-8.15), adjusted for age and tumor characteristics. In conclusion, two clinical profiles predicted early nonadherence and may allow for targeted interventions to increase adherence if validated in an independent cohort.

IGF1 htSNPs in relation to IGF-1 levels in young women from high-risk breast cancer families: implications for early-onset breast cancer.

High levels of insulin-like growth factor-1 (IGF-1) have been associated with increased risk of developing several types of cancer including breast cancer. A set of nine haplotype tagging SNPs (htSNPs) in the IGF1 gene were associated with IGF-1 levels and prostate cancer in a Swedish population. We aimed to study the nine htSNPs in three haplotype blocks (block1: rs855211, rs35765, rs2162679; block2: rs1019731, rs7956547, rs5742632; and block3 rs2033178, rs7136446, rs6220) combined into diplotypes, and three additional SNPs (rs5742612, rs35765817, rs35455143) in relation to IGF-1 levels, BRCA status, the IGF1 CA-repeat microsatellite, and breast cancer in a population of 325 Swedish women from breast cancer high-risk families. Questionnaire data and blood samples for IGF-1 and genetic analyses were obtained twice during the menstrual cycle from 269 women aged 40 years or younger. SNP analyses were also performed in 56 BRCA1/2 mutation carriers. Women (n = 14) with any rare variant block1 diplotype had higher odds to be BRCA1 mutation carriers OR 4.1 (95% CI 1.4-12.2), to lack the common IGF1 19 CA-repeat allele OR 33.3 (95% CI 6.6-166.7), and were more likely to develop early-onset breast cancer (Log Rank P < 0.001) than women with common block1 diplotypes. In the subgroup of BRCA1 mutation carriers, block1 rare diplotypes were associated with earlier diagnosis (Log Rank P = 0.031). No association was found between IGF-1 levels and individual SNPs or diplotypes. If confirmed, these rare diplotypes may identify women with particularly high risk for early-onset breast cancer and this group should be included in forthcoming studies.