Beth Kliethermes

Trans-Resveratrol Alters Mammary Promoter Hypermethylation in Women at Increased Risk for Breast Cancer

Trans-resveratrol, present in high concentration in the skin of red grapes and red wine, has a dose-dependent antiproliferative effect in vitro, prevents the formation of mammary tumors, and has been touted as a chemopreventive agent. Based upon in vitro studies demonstrating that trans-resveratrol downregulates the expression of 1) DNA methyltransferases and 2) the cancer promoting prostaglandin (PG)E2, we determined if trans-resveratrol had a dose-related effect on DNA methylation and prostaglandin expression in humans. Thirty-nine adult women at increased breast cancer risk were randomized in double-blind fashion to placebo, 5 or 50 mg trans-resveratrol twice daily for 12 wk. Methylation assessment of 4 cancer-related genes (p16, RASSF-1α, APC, CCND2) was performed on mammary ductoscopy specimens. The predominant resveratrol species in serum was the glucuronide metabolite. Total trans-resveratrol and glucuronide metabolite serum levels increased after consuming both trans-resveratrol doses (P < .001 for both). RASSF-1α methylation decreased with increasing levels of serum trans-resveratrol (P = .047). The change in RASSF-1α methylation was directly related to the change in PGE2 (P = .045). This work provides novel insights into the effects of trans-resveratrol on the breast of women at increased breast cancer risk, including a decrease in methylation of the tumor suppressor gene RASSF-1α. Because of the limited sample size, our findings should be validated in a larger study.

Nipple Aspirate Fluid Proteome of Healthy Females and Patients with Breast Cancer

BACKGROUND The ductal/alveolar system of the female breast constantly secretes and reabsorbs fluid in nonpregnant/nonlactating women. This fluid, referred to as nipple aspirate fluid (NAF), can be obtained by a noninvasive procedure and it is part of the microenvironment where more than 95% of breast cancers arise. METHODS Using an Orbitrap mass analyzer coupled to a linear ion trap, we performed an in-depth proteomic analysis of NAF samples obtained from 3 healthy individuals and 3 patients with breast cancer. Multiple fractionation methods such as size-exclusion and anion-exchange chromatography were applied for protein separation before mass spectrometric analysis. RESULTS We identified more than 800 unique proteins in total, generating the most extensive NAF proteome thus far. Using gene ontology, we classified the identified proteins by their subcellular localization and found that more than 50% were extracellular or plasma membrane proteins. By searching against the Plasma Proteome Database, we confirmed that 40% of the proteins were also found in the plasma. Unigene database searching for transcripts of the proteins not found in the plasma revealed that the vast majority were expressed in the mammary gland. CONCLUSIONS Our extensive proteome database for NAF may be helpful in the identification of novel cancer biomarkers.

Biomarkers associated with breast cancer are associated with obesity.

BACKGROUND Obesity is linked to the development of postmenopausal breast cancer, and some studies indicate obesity predicts a worse prognosis for premenopausal women who develop the disease. It was our hypothesis that proteins associated with breast cancer would be associated with body mass index (BMI). METHODS We searched our database of women enrolled in breast health translational research trials for information on BMI and markers predictive of breast cancer (basic fibroblast growth factor (bFGF), prostate-specific antigen (PSA), human kallikrein (hK)2, and urinary plasminogen activator (uPA). Information on BMI and one or more nipple aspirate fluid (NAF) or serum biomarkers was available from 382 women. RESULTS In this data set, NAF and serum levels of PSA (nPSA and sPSA), and NAF levels hK2, bFGF and uPA were each associated with pre- and/or postmenopausal breast cancer. sPSA was inversely associated with BMI in both pre- (r=-.56, p=.001) and postmenopausal women (r=-.62, p=.0035) without breast cancer. This association was lost when controlling for plasma volume. In women without breast cancer, NAF bFGF (p=.07, premenopausal subjects) and NAF hK2 (p=.09, postmenopausal subjects) were borderline associated with BMI. In women with breast cancer, nPSA was inversely (r=-.53, p=.049) associated with BMI in premenopausal women and directly associated with BMI in postmenopausal women (r=.37, p=.017). nPSA trended higher in hormone sensitive cancers, especially those that expressed progesterone receptor (p=.059). CONCLUSIONS sPSA was inversely associated with BMI in all pre- and postmenopausal women and specifically in pre- and postmenopausal women without breast cancer. NAF PSA was associated with BMI in pre- and postmenopausal women with breast cancer. Evaluating the change in PSA with changes in weight may provide clues regarding a subjects breast cancer risk.

Carbohydrate antigens in nipple aspirate fluid predict the presence of atypia and cancer in women requiring diagnostic breast biopsy

BackgroundThe goal of this prospective study was to determine (a) concentrations of the carbohydrate biomarkers Thomsen Friedenreich (TF) antigen and its precursor, Tn antigen, in nipple discharge (ND) collected from women requiring biopsy because of a suspicious breast lesion; and (b) if concentration levels predicted pathologic diagnosis.MethodsAdult women requiring biopsy to exclude breast cancer were enrolled and ND obtained. The samples from 124 women were analyzed using an anti-TF and anti-Tn monoclonal antibodies in direct immunoassay.ResultsThe highest median concentration in ND for TF and Tn was in women with ductal carcinoma in situ (DCIS). TF was higher in women with 1) cancer (DCIS or invasive) vs. either no cancer (atypia or benign pathology, p = .048), or benign pathology (p = .018); and 2) abnormal (atypia or cancer) versus benign pathology (p = .016); and was more predictive of atypia or cancer in post- compared to premenopausal women. Tn was not predictive of disease. High TF concentration and age were independent predictors of disease, correctly classifying either cancer or abnormal vs. benign pathology 83% of the time in postmenopausal women.ConclusionsTF concentrations in ND were higher in women with precancer and cancer compared to women with benign disease, and TF was an independent predictor of breast atypia and cancer. TF may prove useful in early breast cancer detection.

Differential expression of cancer associated proteins in breast milk based on age at first full term pregnancy.

BackgroundFirst full term pregnancy (FFTP) completed at a young age has been linked to low long term breast cancer risk, whereas late FFTP pregnancy age confers high long term risk, compared to nulliparity. Our hypothesis was that proteins linked to breast cancer would be differentially expressed in human milk collected at three time points during lactation based on age at FFTP.MethodsWe analyzed breast milk from 72 lactating women. Samples were collected within 10 days of the onset of lactation (baseline-BL), two months after lactation started and during breast weaning (W). We measured 16 proteins (11 kallikreins (KLKs), basic fibroblast growth factor, YKL-40, neutrophil gelatinase-associated lipocalin and transforming growth factor (TGF) β-1 and -2) associated with breast cancer, most known to be secreted into milk.ResultsDuring lactation there was a significant change in the expression of 14 proteins in women < 26 years old and 9 proteins in women > = 26 at FFTP. The most significant (p < .001) changes from BL to W in women divided by FFTP age (< 26 vs. > = 26) were in KLK3,6, 8, and TGFβ2 in women < 26; and KLK6, 8, and TGFβ2 in women > = 26. There was a significant increase (p = .022) in KLK8 expression from BL to W depending on FFTP age. Examination of DNA methylation in the promoter region of KLK6 revealed high levels of methylation that did not explain the observed changes in protein levels. On the other hand, KLK6 and TGFβ1 expression were significantly associated (r2 = .43, p = .0050).ConclusionsThe expression profile of milk proteins linked to breast cancer is influenced by age at FFTP. These proteins may play a role in future cancer risk.

Proteins and carbohydrates in nipple aspirate fluid predict the presence of atypia and cancer in women requiring diagnostic breast biopsy

BackgroundHerein we present the results of two related investigations. The first study determined if concentrations in breast nipple discharge (ND) of two proteins (urinary plasminogen activator, uPA and its inhibitor, PAI-1) predicted the presence of breast atypia and cancer in pre- and/or postmenopausal women requiring surgery because of a suspicious breast lesion. The second study assessed if these proteins increased the predictive ability of a carbohydrate (Thomsen Friedenreich, TF) which we previously demonstrated predicted the presence of disease in postmenopausal women requiring surgery.MethodsIn the first study we prospectively enrolled 79 participants from whom we collected ND, measured uPA and PAI-1 and correlated expression with pathologic findings. In the second study we analyzed 35 (uPA and PAI-1 in 24, uPA in an additional 11) ND samples collected from different participants requiring breast surgery, all of whom also had TF results.ResultsuPA expression was higher in pre- and PAI-1 in postmenopausal women with 1) cancer (DCIS or invasive) vs. either no cancer (atypia or benign pathology, p = .018 and .025, respectively), or benign pathology (p = .017 and .033, respectively); and 2) abnormal (atypia or cancer) versus benign pathology (p = .018 and .052, respectively). High uPA and PAI-1 concentrations and age were independent predictors of disease in premenopausal women, with an area under the curve (AUC) of 83-87% when comparing diseased vs. benign pathology. uPA, TF, and age correctly classified 35 pre- and postmenopausal women as having disease or not 84-91% of the time, whereas combining uPA+PAI-1+TF correctly classified 24 women 97-100% of the time.ConclusionsuPA and PAI-1 concentrations in ND were higher in women with atypia and cancer compared to women with benign disease. Combining uPA, PAI-1 and TF in the assessment of women requiring diagnostic breast surgery maximized disease prediction. The assessment of these markers may prove useful in early breast cancer detection.

Differential expression of cancer-associated proteins in Breastmilk

Breast cancer that develops during or shortly after pregnancy is frequently more aggressive than cancer diagnosed at other times in a womans life. To better understand the patterns of cancer-related protein expression in the breasts of lactating women, we determined the differences in total and individual protein expression in milk based on (a) three time points during lactation (early, mid, and late), (b) length of lactation, and (c) parity. Breastmilk was collected from 72 healthy lactating women within 10 days of starting lactation (transitional [T]), 2 months after lactation started, and during breast weaning (W). Sixteen proteins whose expression is altered in breast cancer (11 kallikreins [KLKs], basic fibroblast growth factor [bFGF], YKL-40, neutrophil gelatinase-associated lipocalin, and transforming growth factor [TGF] β1 and β2) were evaluated. The concentration of total milk protein decreased over time (p<0.01 at 2 months and W compared with T). After we controlled for total protein, KLK6 and TGFβ2 significantly increased, and bFGF decreased from T to W. Neither length of nursing nor parity significantly influenced individual protein expression at the W time point. On the other hand, length of nursing did influence the difference in KLK6, -7, and -8 expression between the W and T time points. Total milk protein concentration is lower in the mid and late phases of nursing. Biomarker differences between T and W milk samples in KLK6, TGFβ2, and bFGF are consistent with a protective effect of nursing.

Breast cancer biomarkers predict weight loss after gastric bypass surgery

BackgroundObesity has long been associated with postmenopausal breast cancer risk and more recently with premenopausal breast cancer risk. We previously observed that nipple aspirate fluid (n) levels of prostate specific antigen (PSA) were associated with obesity. Serum (s) levels of adiponectin are lower in women with higher body mass index (BMI) and with breast cancer. We conducted a prospective study of obese women who underwent gastric bypass surgery to determine: 1) change in n- and s-adiponectin and nPSA after surgery and 2) if biomarker change is related to change in BMI. Samples (30-s, 28-n) and BMI were obtained from women 0, 3, 6 and 12 months after surgery.FindingsThere was a significant increase after surgery in pre- but not postmenopausal women at all time points in s-adiponectin and at 3 and 6 months in n-adiponectin. Low n-PSA and high s-adiponectin values were highly correlated with decrease in BMI from baseline.ConclusionsAdiponectin increases locally in the breast and systemically in premenopausal women after gastric bypass. s-adiponectin in pre- and nPSA in postmenopausal women correlated with greater weight loss. This study provides preliminary evidence for biologic markers to predict weight loss after gastric bypass surgery.

uPA is upregulated by high dose celecoxib in women at increased risk of developing breast cancer.

BackgroundWhile increased urokinase-type plasminogen activator (uPA) expression in breast cancer tissue is directly associated with poor prognosis, recent evidence suggests that uPA overexpression may suppress tumor growth and prolong survival. Celecoxib has been shown to have antiangiogenic and antiproliferative properties. We sought to determine if uPA, PA inhibitor (PAI)-1 and prostaglandin (PG)E2 expression in nipple aspirate fluid (NAF) and uPA and PGE2 expression in plasma were altered by celecoxib dose and concentration in women at increased breast cancer risk.MethodsNAF and plasma samples were collected in women at increased breast cancer risk before and 2 weeks after taking celecoxib 200 or 400 mg twice daily (bid). uPA, PAI-1 and PGE2 were measured before and after intervention.ResultsCelecoxib concentrations trended higher in women taking 400 mg (median 1025.0 ng/mL) compared to 200 mg bid (median 227.3 ng/mL), and in post- (534.6 ng/mL) compared to premenopausal (227.3 ng/mL) women. In postmenopausal women treated with the higher (400 mg bid) celecoxib dose, uPA concentrations increased, while PAI-1 and PGE2 decreased. In women taking the higher dose, both PAI-1 (r = -.97, p = .0048) and PGE2 (r = -.69, p = .019) in NAF and uPA in plasma (r = .45, p = .023) were correlated with celecoxib concentrations.ConclusionCelecoxib concentrations after treatment correlate inversely with the change in PAI-1 and PGE2 in the breast and directly with the change in uPA in the circulation. uPA upregulation, in concert with PAI-1 and PGE2 downregulation, may have a cancer preventive effect.

Abstract 4574: Mining the proteome of breast cancer cell lines and nipple aspirate fluid in the quest for novel breast cancer biomarkers

Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC Approximately 200,000 new cases of breast cancer are estimated in the United States for 2009, rendering breast cancer the most frequently diagnosed cancer in women. Patients diagnosed with early stage disease have significantly improved survival rates compared to late stage patients, underlining the need for identification of biomarkers for early detection. Breast cancer is highly heterogeneous and it can be categorized into five subtypes with distinct clinical outcome and different treatment modalities. In this study the secretome of breast cancer cell lines and nipple aspirate fluid (NAF) were analyzed by tandem mass spectrometry to identify novel breast cancer biomarkers. To reflect disease heterogeneity, three cell lines for each of three breast cancer types [estrogen (ER)/ progesterone (PR) receptor positive, triple negative, HER2/neu amplified] were selected (HCC-1428, BT483, MCF-7, MDA-MB-231, HCC-1143, HCC-38, SK-BR-3, HCC-202, UACC-812). NAF samples were obtained from 3 patients with ER positive breast cancer. Proteins of NAF samples and conditioned media of the cell lines were denatured, reduced and trypsin-digested. The peptides were separated by two-dimensional liquid chromatography and the fractions were analyzed in a linear ion-trap coupled to an orbitrap mass analyser. Spectra were searched with Mascot and X!Tandem engines using the IPI 3.46 human database. Scaffold software was used to cross-validate Mascot and X!Tandem results. Spectra were exported from Scaffold and uploaded into an in-house-program for further data analysis. Over 1,000 unique proteins were identified in the conditioned media of each cell line, resulting in more than 4,000 proteins from the 9 breast cancer cell lines. Additionally, 780 proteins were identified in the three NAF samples generating the most extensive NAF cancer proteome so far. Using an in-house program, we annotated the cellular localization and the biological function for each protein. Proteins identified in the three cell lines of each subtype were combined to generate non-redundant, subtype-specific proteomes. The proteomes of different subtypes were then compared, to distinguish proteins that may reveal subtype-specific signatures. The comparison between the ER-positive cancer cell line secretome and the NAF proteome revealed 400 common proteins which were selected for further investigation. A set of selection criteria were applied to generate a panel of the 30 most promising candidates for ER-positive breast cancer. Multiple reaction monitoring (MRM) assays for each of these proteins are being developed to verify their utility as potential biomarkers in serum. In conclusion, proteomic analysis of NAF and tissue culture supernatants of breast cancer cell lines holds promise for breast cancer-specific biomarker discovery. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4574.