TGF-β Biology in Mammary Development and Breast Cancer

Transforming growth factor-β1 (TGF-β) was first implicated in mammary epithelial development by Daniel and Silberstein in 1987 and in breast cancer cells and hormone resistance by Lippman and colleagues in 1988. TGF-β is critically important for mammary morphogenesis and secretory function through specific regulation of epithelial proliferation, apoptosis, and extracellular matrix. Differential TGF-β effects on distinct cell types are compounded by regulation at multiple levels and the influence of context on cellular responses. Studies using controlled expression and conditional-deletion mouse models underscore the complexity of TGF-β biology across the cycle of mammary development and differentiation. Early loss of TGF-β growth regulation in breast cancer evolves into fundamental deregulation that mediates cell interactions and phenotypes driving invasive disease. Two outstanding issues are to understand the mechanisms of biological control in situ and the circumstances by which TGF-β regulation is subverted in neoplastic progression.The discovery of a “transforming growth factor” in normal tissue and serum in the early 1980s rapidly led to the identification of a large family of polypeptides whose action is involved in all aspects of development, homeostasis, and cancer (Moses and Roberts 2008). The activity of transforming growth factor-β1 (TGF-β) was first implicated in mammary epithelial development in 1987 by a canonical experiment by Daniel and Silberstein. Pellets containing TGF-β implanted into mouse mammary gland during ductal morphogenesis were shown to induce rapid regression of advancing endbuds, which was among the first demonstration of its potent inhibitory, rather than transforming, activity (Silberstein and Daniel 1987). However, soon after, Lippman and colleagues showed that TGF-β was produced by breast cancer cells, which in turn contributed to their hormone resistance (Knabbe et al. 1987). These two diametrically opposed actions have continued to fascinate those studying its sundry roles in mammary biology and breast cancer. After nearly a quarter century, this brief article underscores the major two themes in mammary biology: Although TGF-β orchestrates tissue composition and critical controls during mammary development, its subversion during cancer progressively undermines homeostasis and actively drives malignancy.     

Cell–Matrix Interactions in Mammary Gland Development and Breast Cancer

The mammary gland is an organ that at once gives life to the young, but at the same time poses one of the greatest threats to the mother. Understanding how the tissue develops and functions is of pressing importance in determining how its control mechanisms break down in breast cancer. Here we argue that the interactions between mammary epithelial cells and their extracellular matrix (ECM) are crucial in the development and function of the tissue. Current strategies for treating breast cancer take advantage of our knowledge of the endocrine regulation of breast development, and the emerging role of stromal–epithelial interactions (Fig. 1). Focusing, in addition, on the microenvironmental influences that arise from cell–matrix interactions will open new opportunities for therapeutic intervention. We suggest that ultimately a three-pronged approach targeting endocrine, growth factor, and cell-matrix interactions will provide the best chance of curing the disease.Cellular interactions with the ECM are one of the defining features of metazoans (Huxley-Jones et al. 2007). Matrix proteins are among the most abundant in the body, and are integral components of cell regulation and developmental programs operating in all tissues. They provide structure and support to tissues, and they interact with cells through diverse receptors to guide development, patterning, and cell fate decisions (Streuli 2009). Together with cytokines and growth factors, and cell–cell interactions, the ECM determines whether cells survive, proliferate, differentiate, or migrate, and it influences cell shape and polarity (Streuli and Akhtar 2009). Cell–ECM interactions also are central in the assembly of the matrix itself, and in determining ECM organization and rigidity (Kadler et al. 2008; Kass et al. 2007). The cell–matrix interface is therefore pivotal in controlling both cell function and tissue structure, which together build organs into operational structures. Thus, elucidating precisely how the matrix directs cell phenotype is crucial for understanding mechanisms of development and disease.Mammary gland tissue contains epithelium and stroma (​(Fig.Fig. 2). Mammary epithelial cells (MEC) form collecting ducts and, in pregnancy and lactation, milk-secreting alveoli (or lobules). The mammary epithelium is bilayered, with the inner luminal cells facing a central apical cavity and surrounded by the outer basal, myoepithelial cells. It also harbors stem and progenitor cells, which are the source of both luminal and myoepithelial cells (Visvader 2009). The epithelium is ensheathed by one of the main types of ECM, basement membrane (BM), which separates epithelium from stroma, and profoundly influences the development and biology of the gland (Streuli 2003). The stroma includes fibrous connective tissue ECM proteins, and a wide variety of cell types, including inter- and intralobular fibroblasts, adipocytes, endothelial cells, and innate immune cells (both macrophages and mast cells). The stroma is the support network for the epithelium, providing both nutrients and blood supply, and immune defenses, as well as physical structure to the gland. Importantly, each of the different stromal cell types secrete instructive signals that are crucial for various aspects of the development and function of the epithelium (Sternlicht 2006).Open in a separate windowFigure 1.Mammary gland development. Whole mounts of (A) virgin and (B) mid-pregnant mouse mammary gland. The thin, branched epithelial ducts that are characteristic of nonpregnant gland undergo dramatic alterations in pregnancy, when new types of epithelial structures, the milk-producing alveoli, emerge. The huge amount of proliferation that accompanies this change occurs in a discrete and controlled fashion. The formation of ducts and alveoli is under three types of environmental control. The first is long-range endocrine hormones, which includes estrogen, progesterone, glucocorticoids, and prolactin. The second is locally acting growth factors, which arise from stromal–epithelial conversation, and includes amphiregulin, FGF, HGF, and IGF. Finally, microenvironmental adhesive signals from adjacent cells (e.g., via cadherins) and from the ECM (e.g., integrin) have an equally central role in all aspects of mammary development and function. Importantly, the proliferation that occurs in breast cancer is not well controlled, indicating not only defects in growth signaling, but also in cellular organization. Chronologically, breast cancer drugs were initially developed against endocrine regulators, e.g., estrogen, and more recently against the stromal/epithelial regulators, e.g., receptor tyrosine kinases. A complete control of the disease will only happen when therapies targeting the microenvironmental adhesion breast regulators, e.g., cell–matrix interactions, are formulated, and used in combination.Open in a separate windowFigure 2.Ducts and alveoli in early pregnancy. Transverse section of ducts surrounded by a thick layer of collagenous (stromal) connective tissue containing fibroblasts and the fat pad. Also visible are small alveoli, which fill the fat pad by the time the gland lactates, but note that they are not surrounded collagen. A capillary is evident, and macrophages and mast cells are also present, though they require specific staining to visualize. A basement membrane is present directly at the basal surface of both ductal and alveolar epithelium (see Fig. 3).BMs surround three cell types in the mammary gland: the epithelium, the endothelium of the vasculature, and adipocytes (Fig. 3). These ECMs are thin, ∼100-nm thick sheets of glycoproteins and proteoglycans, which are constructed around an assembled polymer of laminins and a cross-linked network of collagen IV fibrils (Yurchenco and Patton 2009). Laminins form αβγ trimers, and in the breast at least four distinct isoforms are present: laminin-111, -322, and -511 and -521 (previously known as LM-1, 5, 10, and 11) (Aumailley et al. 2005; Prince et al. 2002). Similarly, BM proteoglycans are diverse and show complexity in their GAG chain modifications that vary with development of the mammary gland, though the major species is perlecan (Delehedde et al. 2001). BM proteins interact with MEC via integrins and transmembrane proteoglycans dystroglycan and syndecan, which all couple to the cytoskeleton and assemble signaling platforms to control cell fate (Barresi and Campbell 2006; Morgan et al. 2007). The best-studied MEC BM receptors are integrins, which are αβ heterodimers: they include receptors for collagen (α1β1 and α2β1), LM-111, -511, -521 (α3β1, α6β1, and α6β4), LM-322 (α3β1 and α6β4), and in some MECs fibronectin and vitronectin (α5β1 and β3 integrins) (Naylor and Streuli 2006). BM proteoglycans have a further signaling role via their capacity to bind growth factors and cytokines: They act both as a reservoir and a delivery vehicle to GF receptors, thereby controlling the passage of GFs across the BM (Iozzo 2005). Because of these diverse roles, the BM is a dominant regulator of the mammary epithelial phenotype.Open in a separate windowFigure 3.Alveolar and ductal architecture of breast epithelia shown through fluorescence and histological images. (A) An alveolus from a lactating mammary gland, showing luminal epithelial cells with cell–cell adhesion junctions (green, E-cadherin) and cell–matrix interactions (red, laminin-111). The central lumen is where milk collects. (B) The duct of a nonpregnant gland is stained with an antibody to laminin (brown) and counterstained with hematoxylin. Note that the laminin-containing basement membrane surrounds the ductal epithelial cells, and outside this lie collagenous connective tissue and adipocytes. Figure B courtesy of Dr. Rama Khokha.Apart from the endothelium and adipocytes, which contact BMs, the mammary stromal cells are mostly solitary and embedded within a fibrous ECM. Stromal matrix components include collagens type I and III, proteoglycans and hyaluronic acid, fibronectin and tenascins, and the composition varies with development and pregnancy (Schedin et al. 2004). Not a great deal is known about the specific interactions between breast stromal cells and their ECM, or how the matrix composition and density determines stromal cell function. However, it is becoming evident that the stromal matrix exerts a powerful influence on malignant breast epithelial cells, which invade the stroma and are further transformed by exposure to this distinct microenvironment (Kumar and Weaver 2009; Streuli 2006).In this article we focus on cell–matrix interactions within mammary epithelium, and reveal known and possible mechanisms for its control on ductal development, alveolar function, and cancer progression.     

Hair Iron and Other Minerals’ Level in Breast Cancer Patients

Little is known about hair minerals in cancer patients, and serum iron level has been shown to be elevated in breast cancer patients. Therefore, the aim of this study was to evaluate hair iron and hair minerals’ level related to hair iron in breast cancer patients compared to controls. We compared hair mineral analysis data of 40 breast cancer subjects with age and body mass index-matched normal control data (n?=?144) by cross-sectional analysis. All breast cancer patients were newly diagnosed at one Breast Cancer Center in Ajou University and had their hair cut before anti-cancer chemotherapy, and the normal controls (without breast cancer) also had their hair cut for various reasons in out-patient clinics of the Department of Family Practice and Community Health. Breast cancer patients had low calcium, magnesium, iron, copper, manganese, and zinc, whereas they had high arsenic, sodium, and potassium compared with the normal control. The hair iron level was positively correlated with hair calcium (r?=?0.761, P?<?0.001), magnesium (r?=?0.643, P?<?0.001), and manganese (r?=?0.550, P?<?0.001) and negatively correlated with arsenic (r?=??0.537, P?<?0.001). The hair iron level was significantly associated with the hair calcium (β?=?0.778, P?<?0.001) and manganese (β?=?0.240, P?<?0.001) by using multiple linear regression analysis. We observed different hair mineral patterns in breast cancer patients compared to normal controls. Especially, hair iron level was significantly reduced and associated with hair calcium and manganese levels.     

Development and Validation of Nomograms for Predicting Overall and Breast Cancer–Specific Survival in Young Women with Breast Cancer: A Population-Based Study

INTRODUCTION: The objective of current study was to develop and validate comprehensive nomograms for predicting the survival of young women with breast cancer. METHODS: Women aged <40 years diagnosed with invasive breast cancer between 1990 and 2010 were selected from the Surveillance, Epidemiology, and End Results database and randomly divided into training (n = 12,465) and validation (n = 12,424) cohorts. A competing-risks model was used to estimate the probability of breast cancer–specific survival (BCSS). We identified and integrated significant prognostic factors for overall survival (OS) and BCSS to construct nomograms. The performance of the nomograms was assessed with respect to calibration, discrimination, and risk group stratification. RESULTS: The entire cohort comprised 24,889 patients. The 5- and 10-year probabilities of breast cancer–specific mortality were 11.6% and 20.5%, respectively. Eight independent prognostic factors for both OS and BCSS were identified and integrated for the construction of the nomograms. The calibration curves showed optimal agreement between the predicted and observed probabilities. The C-indexes of the nomograms in the training cohort were higher than those of the TNM staging system for predicting OS (0.724 vs 0.694; P < .001) and BCSS (0.733 vs 0.702; P < .001). Additionally, significant differences in survival were observed in patients stratified into different risk groups within respective TNM categories. CONCLUSIONS: We developed and validated novel nomograms that can accurately predict OS and BCSS in young women with breast cancer. These nomograms may help clinicians in making decisions on an individualized basis.     

BRCA1 and Estrogen Receptor α Expression Regulation in Breast Cancer Cells

Molecular Biology - BRCA1 (breast cancer 1) protein is involved in the genome stability maintenance participating in homologous recombination-dependent DNA repair. Disruption of BRCA1 functioning...     

Socioeconomic Disparity in Breast Cancer Detection in Hong Kong – A High Income City: Retrospective Epidemiological Study Using the Breast Cancer Registry

Background

It is not known whether socioeconomic disparities affect the detection of breast cancer in Asian countries where the incidence of breast cancer is a rising trend. In this study, we explore the socioeconomic profiles of women and the stage of the disease at the time of diagnosis in breast cancer patients aged 40 or over in Hong Kong.

Method

During the period 2008 to 2011, 5393 breast cancer patients registered with the Hong Kong Breast Cancer Registry. Participants and their clinicians were asked to complete standardised questionnaires including patient socio-demographics, health history and risk factors, the course of the disease, post-treatment physical discomfort and psychosocial impact, follow-up recurrence and survival status.

Results

Monthly household incomes, educational levels and the practice of regular screening are independently associated with the stage of the disease at diagnosis. Higher socioeconomic status and a higher educational level were associated with an earlier stage of the disease at the time of diagnosis. Yearly clinical examinations, ultrasound and mammographic screening every 2 to 3 years were significantly associated with the earlier detection of breast cancer.

Conclusion

There were socioeconomic disparities among Hong Kong women who were found to have breast cancer. Population-based screening policies, including raising awareness among women at risk, should be implemented.     

Clinical Implications of TβRII Expression in Breast Cancer

Objective

To explore the relationship between TβRII [type II TGFβ (transforming growth factor β) receptor] expression and clinicopathological characteristics, and to evaluate the prognostic significance of TβRII expression in breast cancer.

Methods

Clinicopathological data and prognostic information of 108 patients with histologically confirmed breast cancer who were surgically treated at China Medical University between January 2007 and September 2008 were reviewed and the association between the clinicopathological characteristics and TβRII expression was analyzed by chi-square test and multivariate analysis. The expression of TβRII was assessed by immunohistochemistry.

Results

Of the 108 patients, 60 cases were TβRII positive and 48 cases were negative. There was no significant association between TβRII expression of the patients older than 40 years and that of the younger than 40 years (56.0% vs 50.0%; P = 0.742). The TβRII expression rate was significantly increased in patients with lymph node metastasis compared to those without lymph node metastasis (67.40% vs 46.8%; P = 0.033). Statistically significant relationships were found between increasing tumor clinical stage and high TβRII expression (P = 0.011). TβRII expression was not associated with the expression of ER(estrogen receptor)、PR, (progesterone receptor)、Her-2 (human epidermal growth factor receptor 2) (P = 0.925,P = 0.861, and P = 0.840, respectively). Patients with high TβRII expression showed poorer 5-year disease-free survival (DFS) compared to those with low expression (66.7% vs 45.6%; P = 0.028) by univariate analysis. Survival analysis demonstrated that TβRII was associated with poor DFS (P = 0.011). Subgroup analysis revealed that TβRII expression was associated with shorter DFS in patients with lymph node metastasis, ER-positive, PR-positive or Her-2-negative tumors (P = 0.006, P = 0.016, P = 0.022, and P = 0.033, respectively). Cox regression analysis revealed that high TβRII expression was related to poor 5-year DFS, and it was an independent factor for predicting the poor outcome for breast cancer patients (P = 0.016).

Conclusions

High levels of TβRII expression were associated with lymph node metastasis, increasing tumor clinical stage, and poorer 5-year DFS in patients with breast cancer. TβRII may be a potential prognostic marker for breast cancer.     

Effective Chemoimmunotherapy with Anti-TGFβ Antibody and Cyclophosphamide in a Mouse Model of Breast Cancer

TGFβ is reportedly responsible for accumulation of CD4⁺Foxp3⁺ regulatory T cells (Tregs) in tumor. Thus, we treated mouse 4T1 mammary carcinoma with 1D11, a neutralizing anti-TGFβ (1,2,3) antibody. The treatment delayed tumor growth, but unexpectedly increased the proportion of Tregs in tumor. In vitro, 1D11 enhanced while TGFβ potently inhibited the proliferation of Tregs. To enhance the anti-tumor effects, 1D11 was administered with cyclophosphamide which was reported to eliminate intratumoral Tregs. This combination resulted in long term tumor-free survival of up to 80% of mice, and the tumor-free mice were more resistant to re-challenge with tumor. To examine the phenotype of tumor infiltrating immune cells, 4T1-tumor bearing mice were treated with 1D11 and a lower dose of cyclophosphamide. This treatment markedly inhibited tumor growth, and was accompanied by massive infiltration of IFNγ-producing T cells. Furthermore, this combination markedly decreased the number of splenic CD11b⁺Gr1⁺ cells, and increased their expression levels of MHC II and CD80. In a spontaneous 4T1 lung metastasis model with resection of primary tumor, this combination therapy markedly increased the survival of mice, indicating it was effective in reducing lethal metastasis burden. Taken together, our data show that anti-TGFβ antibody and cyclophosphamide represents an effective chemoimmunotherapeutic combination.     

Androgen Receptor Expression in Breast Cancer: What Differences Between Primary Tumor and Metastases?

Genomic studies have shown that the androgen receptor (AR) pathway plays an important role in some breast cancer subtypes. However few data are present on the concordance between AR expression in primary tumors and metastases. We investigated AR expression by using immunohistochemistry (IHC) in 164 primary tumors and 83 metastases, to explore its distribution in the different tumor subtypes and its concordance between the two sample types and according to sampling time. AR was more highly expressed in luminal A and B than HER2-positive and triple negative primary tumors. A similar distribution was found in metastases, and the concordance of AR expression between primary tumors and metastases was greater than 60%. No association between sampling time and AR expression was observed. We found a good concordance of AR expression between primary tumor and metastasis, but the variability remains high between the two types of specimens, regardless of the variation in sampling time. For this reason, if used for treatment decisions, AR evaluation should be repeated in each patient whenever a new biopsy is performed, as commonly done for the other breast cancer biomarkers.     

TGF-��1 and BRCA2 Expression are Associated with Clinical Factors in Breast Cancer

The objective of this study was to investigate the possible association between the expression of transforming growth factor beta-1 (TGF-β1) and breast cancer type2 susceptibility protein (BRCA2) with clinical factors in breast cancer. TGF-β1, BRCA2, human epidermal growth factor receptor2 (HER2), estrogen receptor, and progesterone receptor protein levels were measured in 67 samples from breast cancer patients by immunohistochemistry. The expression of these proteins was correlated with various clinical factors including age, pathohistological grade and status of axillary lymph node implication. TGF-β1 and BRCA2 were expressed in breast cancer tissues and expression of HER2 and TGF-β1 was significantly correlated with BRCA2. The authors conclude that elevated expression of BRCA2 correlates with TGF-β1 and HER2 in breast cancer and these three factors act in synergy to promote cancer. Thus, detection of both TGF-β1 and BRCA2 may therefore assist in the prognosis and treatment of breast cancer.     

Differences in Breast Cancer Survival between Public and Private Care in New Zealand: Which Factors Contribute?

BackgroundPatients who received private health care appear to have better survival from breast cancer compared to those who received public care. This study investigated if this applied to New Zealand women and identified factors that could explain such disparities.MethodsThis study involved all women who were diagnosed with primary breast cancer in two health regions in New Zealand, covering about 40% of the national population, between June 2000 and May 2013. Patients who received public care for primary treatment, mostly surgical treatment, were compared with those who received private care in terms of demographics, mode of presentation, disease factors, comorbidity index and treatment factors. Cox regression modelling was performed with stepwise adjustments, and hazards of breast cancer specific mortality associated with the type of health care received was assessed.ResultsOf the 14,468 patients, 8,916 (61.6%) received public care. Compared to patients treated in private care facilities, they were older, more likely to be Māori, Pacifika or Asian and to reside in deprived neighbourhoods and rural areas, and less likely to be diagnosed with early staged cancer and to receive timely cancer treatments. They had a higher risk of mortality from breast cancer (hazard ratio: 1.95; 95% CI: 1.75, 2.17), of which 80% (95% CI: 63%, 100%) was explained by baseline differences, particularly related to ethnicity, stage at diagnosis and type of loco-regional therapy. After controlling for these demographic, disease and treatment factors, the risk of mortality was still 14% higher in the public sector patients.ConclusionsEthnicity, stage at diagnosis and type of loco-regional therapy were the three key contributors to survival disparities between patients treated in public and private health care facilities in New Zealand. The findings underscore the need for more efforts to improve the quality, timeliness and equitability of public cancer care services.     

Detection of RASSF1A and RAR? Hypermethylation in Serum DNA from Breast Cancer Patients

Breast cancer is fast emerging as the leading cancer amongst females, especially in young females in metropolitan cities in India. The epigenetic alterations involved in the onset and progression of breast cancer may serve as biomarkers for early detection and prognosis of the disease. Furthermore, using body fluids such as serum offers a non-invasive method to procure multiple samples for such analyses. In this study, we examined methylation status of two normally unmethylated but biologically significant cancer genes, RAS association domain family protein 1A (RASSF1A) and Retionic acid receptor ? (RAR?) by Methylation Specific PCR (MSP) in invasive ductal carcinomas of the breast and paired serum DNA. RASSF1A was found to be methylated in 17 of 20 (85%) breast tumors; while sera from 15 of 20 (75%) of the patients showed concordant methylated RASSF1A, with a sensitivity of 88%. RAR? was methylated in 2/20 (10%) breast tumors. A gene unmethylated in the tumor DNA was always found to be unmethylated in the matched serum DNA for both RASSF1A and RAR? genes; hence specificity was 100%. Immunohistochemical analysis of RAR? protein in 15 breast carcinoma patients harboring unmethylated RAR? in tumors and serum DNA showed the expression of RAR? protein in tumors and paired normal breast tissues, confirming the MSP findings, suggesting that RAR? promoter is functional in these cases. This study underscores the potential utility of DNA methylation based screening of serum, a readily accessible body fluid, as a surrogate marker for early detection of breast cancer.      

A Hybrid Model of Tumor–Stromal Interactions in Breast Cancer

Ductal carcinoma in situ (DCIS) is an early stage noninvasive breast cancer that originates in the epithelial lining of the milk ducts, but it can evolve into comedo DCIS and ultimately, into the most common type of breast cancer, invasive ductal carcinoma. Understanding the progression and how to effectively intervene in it presents a major scientific challenge. The extracellular matrix (ECM) surrounding a duct contains several types of cells and several types of growth factors that are known to individually affect tumor growth, but at present the complex biochemical and mechanical interactions of these stromal cells and growth factors with tumor cells is poorly understood. Here we develop a mathematical model that incorporates the cross-talk between stromal and tumor cells, which can predict how perturbations of the local biochemical and mechanical state influence tumor evolution. We focus on the EGF and TGF-β signaling pathways and show how up- or down-regulation of components in these pathways affects cell growth and proliferation. We then study a hybrid model for the interaction of cells with the tumor microenvironment (TME), in which epithelial cells (ECs) are modeled individually while the ECM is treated as a continuum, and show how these interactions affect the early development of tumors. Finally, we incorporate breakdown of the epithelium into the model and predict the early stages of tumor invasion into the stroma. Our results shed light on the interactions between growth factors, mechanical properties of the ECM, and feedback signaling loops between stromal and tumor cells, and suggest how epigenetic changes in transformed cells affect tumor progression.     

VEGF,HIF-1α Expression and MVD as an Angiogenic Network in Familial Breast Cancer

Angiogenesis, which plays an important role in tumor growth and progression of breast cancer, is regulated by a balance between pro- and anti-angiogenic factors. Expression of vascular endothelial growth factor (VEGF) is up-regulated during hypoxia by hypoxia-inducible factor-1α (HIF-1α). It is known that there is an interaction between HIF-1α and BRCA1 carrier cancers, but little has been reported about angiogenesis in BRCA1-2 carrier and BRCAX breast cancers. In this study, we investigated the expression of VEGF and HIF-1α and microvessel density (MVD) in 26 BRCA1-2 carriers and 58 BRCAX compared to 77 sporadic breast cancers, by immunohistochemistry. VEGF expression in BRCA1-2 carriers was higher than in BRCAX cancer tissues (p = 0.0001). Furthermore, VEGF expression was higher in both BRCA1-2 carriers and BRCAX than the sporadic group (p<0.0001). VEGF immunoreactivity was correlated with poor tumor grade (p = 0.0074), hormone receptors negativity (p = 0.0206, p = 0.0002 respectively), and MIB-1-labeling index (p = 0.0044) in familial cancers (BRCA1-2 and BRCAX). The percentage of nuclear HIF-1α expression was higher in the BRCA1-2 carriers than in BRCAX cancers (p<0.05), and in all familial than in sporadic tumor tissues (p = 0.0045). A higher MVD was observed in BRCA1-2 carrier than in BRCAX and sporadic cancer tissues (p = 0.002, p = 0.0001 respectively), and in all familial tumors than in sporadic tumors (p = 0.01). MVD was positively related to HIF-1α expression in BRCA1-2 carriers (r = 0.521, p = 0.006), and, in particular, we observed a highly significant correlation in the familial group (r = 0.421, p<0.0001). Our findings suggest that angiogenesis plays a crucial role in BRCA1-2 carrier breast cancers. Prospective studies in larger BRCA1-2 carrier series are needed to improve the best therapeutic strategies for this subgroup of breast cancer patients.     

Design and Synthesis of a Novel Antimicrobial Peptide Targeting β-catenin in Human Breast Cancer Cell lines

International Journal of Peptide Research and Therapeutics - Antimicrobial peptides which play a vital role in an innate immune defense mechanism of various organisms can be regarded as novel...     

Hypoxia Regulates CD44 and Its Variant Isoforms through HIF-1α in Triple Negative Breast Cancer

Background

The CD44 transmembrane glycoproteins play multifaceted roles in tumor progression and metastasis. CD44 expression has also been associated with stem-like breast cancer cells. Hypoxia commonly occurs in tumors and is a major cause of radiation and chemo-resistance. Hypoxia is known to inhibit differentiation and facilitates invasion and metastasis. Here we have investigated the effect of hypoxia on CD44 and two of its isoforms in MDA-MB-231 and SUM-149 triple negative human breast cancer cells and MDA-MB-231 tumors using imaging and molecular characterization.

Methods and Findings

The roles of hypoxia and hypoxia inducible factor (HIF) in regulating the expression of CD44 and its variant isoforms (CD44v6, CD44v7/8) were investigated in human breast cancer cells, by quantitative real-time polymerase chain reaction (qRT-PCR) to determine mRNA levels, and fluorescence associated cell sorting (FACS) to determine cell surface expression of CD44, under normoxic and hypoxic conditions. In vivo imaging studies with tumor xenografts derived from MDA-MD-231 cells engineered to express tdTomato red fluorescence protein under regulation of hypoxia response elements identified co-localization between hypoxic fluorescent regions and increased concentration of ¹²⁵I-radiolabeled CD44 antibody.

Conclusions

Our data identified HIF-1α as a regulator of CD44 that increased the number of CD44 molecules and the percentage of CD44 positive cells expressing variant exons v6 and v7/8 in breast cancer cells under hypoxic conditions. Data from these cell studies were further supported by in vivo observations that hypoxic tumor regions contained cells with a higher concentration of CD44 expression.