Compartmentalized secretory leukocyte protease inhibitor expression and hormone responses along the reproductive tract of postmenopausal women

Immunity and hormonal responses in the reproductive tissues of postmenopausal women are poorly understood. Secretory leukocyte protease inhibitor (SLPI), a multifunctional antimicrobial protein expressed at mucosal surfaces, is thought to play a key role in infectious and inflammatory contexts. The aim of this study was to measure SLPI production along the female reproductive tract in postmenopausal women with and without hormonal treatment. We additionally quantified estrogen receptor alpha (ERα) and progesterone receptor A (PRA) in these tissues. Expression of SLPI was decreased in the vagina and ectocervix of women under hormonal treatment. Endocervical ERα mRNA expression was increased while this did not reach significance at the protein level. SLPI expression in the endometrium was not influenced by hormonal treatment. We observed attenuated ERα expression in the cervix and endometrium of hormonally treated women, whereas vaginal expression was increased. PRA expression was augmented in the cervix and endometrium and unchanged in the vagina. Taken together, our results indicate that hormonal responses and receptor expression are differentially regulated in vaginal tissue compared with the cervix and endometrium.

Cancers du sein : comment associer l'hormonothérapie et la radiothérapie en situation adjuvante ? [How to combine hormonotherapy and radiation treatment in adjuvant breast cancer ?]

L'hormonoradiothérapie concomitante est utilisée depuis plusieurs années en pratique clinique quotidienne dans les cancers localement évolués de la prostate. Le transfert de ce concept en pathologie mammaire a été très peu rapporté dans la littérature, mais semble pourtant licite devant l'hormonodépendance fréquente des cancers du sein et la synergie potentielle de ces deux armes thérapeutiques. En situation adjuvante, deux stratégies sont actuellement utilisées : la prescription d'un inhibiteur de l'aromatase d'emblée ou après un délai plus ou moins long de tamoxifène. En pratique, ces molécules peuvent donc interagir avec la radiothérapie adjuvante. Les études rétrospectives récemment publiées n'ont pas mis en évidence de différence significative sur l'incidence des évènements, notamment locorégionaux, de l'association concomitante ou séquentielle du tamoxifène à la radiothérapie. La toxicité de l'association reste discutable en termes de fibroses sous-cutanée et pulmonaire. Il semble que le tamoxifène aggraverait les séquelles postradiques uniquement chez les patientes prédisposées à souffrir d'effets tardifs de la radiothérapie et identifiées par un test prédictif biologique. La prudence reste donc encore de mise du moins pour ces patientes. Cet article détaille les avantages et les risques de l'utilisation concomitante de la radiothérapie et de l'hormonothérapie adjuvantes des cancers localisés du sein. Combined radiation and hormone therapies have become common clinical practice in recent years for locally-advanced prostate cancers. The use of such concomitant therapy in the treatment of breast disease has been infrequently reported in the literature, but seems justified given the common hormonal dependence of breast cancer and the potential synergistic effect of these two treatment modalities. As adjuvant therapy, two strategies are used in daily clinical practice: upfront aromatase inhibitors or sequentially after a variable delay of tamoxifen. These molecules may, thus, interact with radiotherapy. Retrospectives studies recently published did not show any differences in terms of locoregional recurrences between concurrent or sequential radiohormonotherapy. Lung and skin fibroses due to concurrent treatment are still under debate. Nevertheless, late side effects appeared to be increased by such a treatment, particularly in hypersensitive patients identified at risk by the lymphocyte predictive test. Concurrent radiohormonotherapy should, thus, be delivered cautiously at least for these patients. This article details the potent advantages and risks of concurrent use of adjuvant hormonotherapy and radiotherapy in localized breast cancers.

Is adjuvant chemotherapy of benefit for postmenopausal women who receive endocrine treatment for highly endocrine-responsive, node-positive breast cancer? International Breast Cancer Study Group Trials VII and 12-93.

To compare the efficacy of chemoendocrine treatment with that of endocrine treatment (ET) alone for postmenopausal women with highly endocrine responsive breast cancer. In the International Breast Cancer Study Group (IBCSG) Trials VII and 12-93, postmenopausal women with node-positive, estrogen receptor (ER)-positive or ER-negative, operable breast cancer were randomized to receive either chemotherapy or endocrine therapy or combined chemoendocrine treatment. Results were analyzed overall in the cohort of 893 patients with endocrine-responsive disease, and according to prospectively defined categories of ER, age and nodal status. STEPP analyses assessed chemotherapy effect. The median follow-up was 13 years. Adding chemotherapy reduced the relative risk of a disease-free survival event by 19% (P = 0.02) compared with ET alone. STEPP analyses showed little effect of chemotherapy for tumors with high levels of ER expression (P = 0.07), or for the cohort with one positive node (P = 0.03). Chemotherapy significantly improves disease-free survival for postmenopausal women with endocrine-responsive breast cancer, but the magnitude of the effect is substantially attenuated if ER levels are high.

Establishment of the epithelial-specific transcriptome of normal and malignant human breast cells based on MPSS and array expression data.

INTRODUCTION: Diverse microarray and sequencing technologies have been widely used to characterise the molecular changes in malignant epithelial cells in breast cancers. Such gene expression studies to identify markers and targets in tumour cells are, however, compromised by the cellular heterogeneity of solid breast tumours and by the lack of appropriate counterparts representing normal breast epithelial cells. METHODS: Malignant neoplastic epithelial cells from primary breast cancers and luminal and myoepithelial cells isolated from normal human breast tissue were isolated by immunomagnetic separation methods. Pools of RNA from highly enriched preparations of these cell types were subjected to expression profiling using massively parallel signature sequencing (MPSS) and four different genome wide microarray platforms. Functional related transcripts of the differential tumour epithelial transcriptome were used for gene set enrichment analysis to identify enrichment of luminal and myoepithelial type genes. Clinical pathological validation of a small number of genes was performed on tissue microarrays. RESULTS: MPSS identified 6,553 differentially expressed genes between the pool of normal luminal cells and that of primary tumours substantially enriched for epithelial cells, of which 98% were represented and 60% were confirmed by microarray profiling. Significant expression level changes between these two samples detected only by microarray technology were shown by 4,149 transcripts, resulting in a combined differential tumour epithelial transcriptome of 8,051 genes. Microarray gene signatures identified a comprehensive list of 907 and 955 transcripts whose expression differed between luminal epithelial cells and myoepithelial cells, respectively. Functional annotation and gene set enrichment analysis highlighted a group of genes related to skeletal development that were associated with the myoepithelial/basal cells and upregulated in the tumour sample. One of the most highly overexpressed genes in this category, that encoding periostin, was analysed immunohistochemically on breast cancer tissue microarrays and its expression in neoplastic cells correlated with poor outcome in a cohort of poor prognosis estrogen receptor-positive tumours. CONCLUSION: Using highly enriched cell populations in combination with multiplatform gene expression profiling studies, a comprehensive analysis of molecular changes between the normal and malignant breast tissue was established. This study provides a basis for the identification of novel and potentially important targets for diagnosis, prognosis and therapy in breast cancer.

MFG-E8/lactadherin regulates cyclins D1/D3 expression and enhances the tumorigenic potential of mammary epithelial cells.

Milk fat globule-EGF factor 8 (MFG-E8) is a glycoprotein highly expressed in breast cancer that contributes to tumor progression through largely undefined mechanisms. By analyzing publicly available gene expression profiles of breast carcinomas, we found that MFG-E8 is highly expressed in primary and metastatic breast carcinomas, associated with absent estrogen receptor expression. Immunohistochemistry analysis of breast cancer biopsies revealed that MFG-E8 is expressed on the cell membrane as well as in the cytoplasm and nucleus. We also show that increased expression of MFG-E8 in mammary carcinoma cells increases their tumorigenicity in immunodeficient mice, and conversely, its downregulation reduces their in vivo growth. Moreover, expression of MFG-E8 in immortalized mammary epithelial cells promotes their growth and branching in three-dimensional collagen matrices and induces the expression of cyclins D1/D3 and N-cadherin. A mutant protein unable to bind integrins can in part exert these effects, indicating that MFG-E8 function is only partially dependent on integrin activation. We conclude that MFG-E8-dependent signaling stimulates cell proliferation and the acquisition of mesenchymal properties and contributes to mammary carcinoma development.

Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.

BACKGROUND: A 70-gene signature was previously shown to have prognostic value in patients with node-negative breast cancer. Our goal was to validate the signature in an independent group of patients. METHODS: Patients (n = 307, with 137 events after a median follow-up of 13.6 years) from five European centers were divided into high- and low-risk groups based on the gene signature classification and on clinical risk classifications. Patients were assigned to the gene signature low-risk group if their 5-year distant metastasis-free survival probability as estimated by the gene signature was greater than 90%. Patients were assigned to the clinicopathologic low-risk group if their 10-year survival probability, as estimated by Adjuvant! software, was greater than 88% (for estrogen receptor [ER]-positive patients) or 92% (for ER-negative patients). Hazard ratios (HRs) were estimated to compare time to distant metastases, disease-free survival, and overall survival in high- versus low-risk groups. RESULTS: The 70-gene signature outperformed the clinicopathologic risk assessment in predicting all endpoints. For time to distant metastases, the gene signature yielded HR = 2.32 (95% confidence interval [CI] = 1.35 to 4.00) without adjustment for clinical risk and hazard ratios ranging from 2.13 to 2.15 after adjustment for various estimates of clinical risk; clinicopathologic risk using Adjuvant! software yielded an unadjusted HR = 1.68 (95% CI = 0.92 to 3.07). For overall survival, the gene signature yielded an unadjusted HR = 2.79 (95% CI = 1.60 to 4.87) and adjusted hazard ratios ranging from 2.63 to 2.89; clinicopathologic risk yielded an unadjusted HR = 1.67 (95% CI = 0.93 to 2.98). For patients in the gene signature high-risk group, 10-year overall survival was 0.69 for patients in both the low- and high-clinical risk groups; for patients in the gene signature low-risk group, the 10-year survival rates were 0.88 and 0.89, respectively. CONCLUSIONS: The 70-gene signature adds independent prognostic information to clinicopathologic risk assessment for patients with early breast cancer.

Role of notch signalling in mammary gland

ÁBSTRACT : Mammary gland is composed of two main epithelial cell types, myoepithelial and luminal. The mechanisms involved in determination and maintenance of them remain poorly understood. Notch signaling is known to regulate cell fate determination in other tissues like skin and nervous system. It was also shown that it can act as tumor suppressor or oncogene depending on the tissue type. The mouse models overexpressing active Notch receptors indicated that Notch signaling is oncogenic in the mammary gland. This observation was followed by some descriptive and functional studies in human breast cancer and it was reported that Notch signaling activity or expression of its components are increased in some of the breast tumor samples compared to normal tissue. However, the physiological role of the Notch signaling and its downstream mechanisms in mammary gland is poorly defined. p63, a member of p53 family, has been implicated in the cell fate determination of keratinocytes. Knockout mouse models revealed that p63 is required for the formation of the mammary anlagen in embryo and its ΔN isoform is expressed exclusively in the myoepithelial layer of the adult breast. In order to understand its function in normal breast epithelial cells, I activated Notch signaling by expression of Notch1 intracellular domain (NICD) in normal primary human breast epithelial cells (HBECs). In this context, NICD reduced growth of HBECs and led to downmodulation of extracellular matrix-receptor interaction network (ECM) components as well as ΔNp63. Expression of ΔNp63 together with NICD partially rescued Notch induced growth reduction, which was correlated with an increase in ECM components. Moreover, silencing ΔNp63 in myoepithelial HBECs reduced growth similar to Notch activation and it led to downregulation of myoepithelial and upregulation of luminal markers. Complementing this observation, forced expression of ONp63 in luminal HBECs induced myoepithelial phenotype and decreased luminal markers. In vivo, by the analysis of a Notch reporter mouse strain, I showed that Notch is activated during puberty specifically at the sites of ductal morphogenesis, terminal end buds. FAGS analysis revealed that it can be detected in two different populations based on CD24 expression (low (lo) or high (high)): at lower levels in CD24lo, which includes stem/progenitor and myoepithelial cells and higher levels in CD24hi, which contains luminal cells. In parallel with in vitro results, the CD24lo mouse mammary epithelial cells displaying Notch activity have lower levels of p63 expression. Furthermore, deletion of RBPjk, the main mediator of Notch signaling, or the overexpression of ΔNp63 inhibited luminal cell lineage in vivo. Another important point revealed by Notch reporter mouse strain is the simultaneous activation of Notch with estrogen signaling during pubertal development. The expression of FOXA1, the mediator of estrogen receptor (ER) transcriptional activity, is correlated with Notch activation in vivo that it is lower in CD24lo than in CD24hi cells. Moreover, FOXA1 is regulated by NICD in vitro supporting the presence of a link between Notch and ER signaling. Taken together, I report that Notch signaling is involved in luminal cell fate determination and its effects are partially mediated through inhibition of ONp63. Besides, ΔNp63 is required for the maintenance and sufficient for the induction of myoepithelial phenotype in HBECs in vitro and is not compatible with luminal lineage in vivo. Based on these results, I propose a model for epithelial cell hierarchy in mammary gland, whereby there are two different types of luminal progenitors, early and late, displaying different levels of Notch activity. Notch signaling contributes to the determination of luminal cell lineage in these two progenitor steps: In "Early Luminal Progenitor" stage, it inhibits myoepithelial fate by decreasing p63 expression, and in "Late Luminal Progenitor" stage, Notch signaling is involved in induction of luminal lineage by acting on ER-FOXA1 axis. It has to be investigated further whether Notch signaling might behave as an oncogene or tumor suppressor depending on which cell type in the epithelial hierarchy it is modulated and which one is more likely to occur in different human breast cancer types. RÉSUMÉ : La glande mammaire est composée de deux types principaux de cellules: les cellules luminales, qui bordent le lumen et les cellules myoépithéliales, qui se trouvent entre la lame basale et les cellules luminales. Les mécanismes intervenant dans leur différenciation et leur maintenance demeurent encore mal compris. La protéine transmembranaire Notch est connue pour déterminer le destin des cellules dans plusieurs types de tissus comme la peau ou le système nerveux. Selon le type de tissu dans lequel se trouve Notch, il agira soit comme un suppresseur de tumeur soit comme un oncogène. A l'aide de modèles de souris surexprimant les récepteurs actifs de Notch, il a été démontré que la voie de signalisation de Notch est oncogénique au niveau de la glande mammaire. Des études descriptives et fonctionnelles dans le cadre du cancer du sein ont permis de mettre en évidence une augmentation de l'activité de Notch ou de l'expression de ces composants dans certains tissus cancéreux. Toutefois, le rôle physiologique de Notch et des mécanismes qu'il active restent méconnus. P63, une protéine membre de la famille p53, est impliquée dans la différenciation des kératinocytes. Le modèle issu de l'étude des souris p63 knockout a révélé que cette protéine est requise pour la formation des primordia mammaires chez l'embryon et que son isoforme ΔNp63 est exclusivement exprimée dans la couche myoépithéliale de la glande mammaire adulte. Dans le but de comprendre les fonctions physiologiques de Notch, je l'ai activé en exprimant le domaine intracellulaire de Notch 1 (NICD) dans des cellules épithéliales primaires de glande mammaire humaine (HBECs). Le NICD a alors réduit la croissance des HBECs et conduit à la régulation négative non seulement de p63 mais également des composants du réseau d'interaction des récepteurs de la matrice extracellulaire (ECM). En exprimant conjointement ΔNp63 et NICD, il est apparu que la réduction de croissance induite par Notch était partiellement compensée, et qu'il y avait également une augmentation des composants ECM. De plus, lorsque ΔNp63 a été inactivé dans les cellules HBECs myoépithéliales, une réduction de croissance cellulaire identique à celle provoquée par l'activation de Notch a pu être mise en évidence, de même qu'une régulation négative des marqueurs myoépithéliaux ainsi qu'une augmentation des marqueurs luminaux. Afin de compléter ces informations, l'expression de ΔNp63 a été forcée dans les HBECs luminales, ce qui a induit un phénotype myoépithélial et une diminution des marqueurs lumineux. In vivo, par l'analyse de souris ayant un gène rapporteur de l'activité de Notch, j'ai démontré que Notch est activé pendant la puberté au niveau des sites de la morphogenèse canalaire, à savoir les bourgeons terminaux. Les analyses par FACS (Fluorescence-activated cell sorting) basées sur l'expression de l'antigène CD24 ont révélé qu'il peut tre détecté dans deux populations différentes : une population qui l'exprime faiblement, qui regroupe les cellules souches/progéniteurs et les cellules myoépithéliales, et une population qui l'exprime fortement qui est composé des cellules luminales. Parallèlement aux résultats in vitro, j'ai mis en évidence un faible niveau d'expression de p63 dans les cellules épithéliales de la glande mammaire de souris, exprimant faiblement l'antigène CD24 et présentant une activité de Notch. De plus, la délétion de RBPjr~, médiateur principal de la signalisation de Notch, ainsi que la surexpression de ΔNp63 in vivo ont inhibé la lignée des cellules luminales. Un autre point important révélé par les souris rapporteur de l'activité de Notch a été l'activation simultanée de Notch et de la signalisation de l'oestrogène pendant le développement pubertaire. L'expression de FOXA1, médiateur de l'activité transcriptionnelle des récepteurs aux oestrogènes (ER), est en corrélation avec l'activation de Notch in vivo, plus basse dans les cellules avec une faible expression de l'antigène CD24 que dans celles avec une forte expression. De plus, FOXA1 est régulé par NICD in vitro confirmant la présence d'un lien entre Notch et la signalisation des ER. En résumé, la signalisation de Notch est impliquée dans la détermination du destin cellulaire des cellules luminales et ses effets sont partiellement modifiés par l'inhibition de ΔNp63. ΔNp63 est requis pour la maintenance et est suffisant pour l'induction du phénotype myoépithéliale dans les HBECs in vitro et ne peut donc pas se trouver dans les cellules luminales in vivo. Basé sur ces résultats, je propose un modèle de hiérarchisation des cellules épithéliales de la glande mammaire, dans lequel sont présents deux types de progéniteurs des cellules luminales exprimant des niveaux différents d'activité de Notch, les progéniteurs lumineux précoces et tardifs. La signalisation de Notch contribue à la différenciation de la lignée cellulaire luminale au niveau de ces deux progéniteurs : dans la forme précoce, il inhibe la différenciation des cellules myoépithéliales en réduisant l'expression de p63 et dans la forme tardive, Notch est impliqué dans l'induction de la lignée luminale en agissant sur l'axe ER-FOXA1. Il serait nécessaire d'investiguer plus loin si le fait que Notch agisse comme oncogène ou suppresseur de tumeur dépend du stade de différenciation de la cellule dans laquelle il est modulé et laquelle de ces deux fonctions il est le plus probable de rencontrer dans les différents types de cancer du sein.

Recommendations for raloxifene use in daily clinical practice in the Swiss setting.

BACKGROUND/AIM: Raloxifene is the first selective estrogen receptor modulator that has been approved for the treatment and prevention of osteoporosis in postmenopausal women in Europe and in the US. Although raloxifene reduces the risk of invasive breast cancer in postmenopausal women with osteoporosis and in postmenopausal women at high risk for invasive breast cancer, it is approved in that indication in the US but not in the EU. The aim was to characterize the clinical profiles of postmenopausal women expected to benefit most from therapy with raloxifene based on published scientific evidence to date. METHODS: Key individual patient characteristics relevant to the prescription of raloxifene in daily practice were defined by a board of Swiss experts in the fields of menopause and metabolic bone diseases and linked to published scientific evidence. Consensus was reached about translating these insights into daily practice. RESULTS: Through estrogen agonistic effects on bone, raloxifene reduces biochemical markers of bone turnover to premenopausal levels, increases bone mineral density (BMD) at the lumbar spine, proximal femur, and total body, and reduces vertebral fracture risk in women with osteopenia or osteoporosis with and without prevalent vertebral fracture. Through estrogen antagonistic effects on breast tissue, raloxifene reduces the risk of invasive estrogen-receptor positive breast cancer in postmenopausal women with osteoporosis and in postmenopausal women at high risk for invasive breast cancer. Finally, raloxifene increases the incidence of hot flushes, the risk of venous thromboembolic events, and the risk of fatal stroke in postmenopausal women at increased risk for coronary heart disease. Postmenopausal women in whom the use of raloxifene is considered can be categorized in a 2 × 2 matrix reflecting their bone status (osteopenic or osteoporotic based on their BMD T-score by dual energy X-ray absorptiometry) and their breast cancer risk (low or high based on the modified Gail model). Women at high risk of breast cancer should be considered for treatment with raloxifene. CONCLUSION: Postmenopausal women between 50 and 70 years of age without climacteric symptoms with either osteopenia or osteoporosis should be evaluated with regard to their breast cancer risk and considered for treatment with raloxifene within the framework of its contraindications and precautions.

Circulating carotenoids and risk of breast cancer: pooled analysis of eight prospective studies.

Background Carotenoids, micronutrients in fruits and vegetables, may reduce breast cancer risk. Most, but not all, past studies of circulating carotenoids and breast cancer have found an inverse association with at least one carotenoid, although the specific carotenoid has varied across studies. Methods We conducted a pooled analysis of eight cohort studies comprising more than 80% of the world's published prospective data on plasma or serum carotenoids and breast cancer, including 3055 case subjects and 3956 matched control subjects. To account for laboratory differences and examine population differences across studies, we recalibrated participant carotenoid levels to a common standard by reassaying 20 plasma or serum samples from each cohort together at the same laboratory. Using conditional logistic regression, adjusting for several breast cancer risk factors, we calculated relative risks (RRs) and 95% confidence intervals (CIs) using quintiles defined among the control subjects from all studies. All P values are two-sided. Results Statistically significant inverse associations with breast cancer were observed for α-carotene (top vs bottom quintile RR = 0.87, 95% CI = 0.71 to 1.05, Ptrend = .04), β-carotene (RR = 0.83, 95% CI = 0.70 to 0.98, Ptrend = .02), lutein+zeaxanthin (RR = 0.84, 95% CI = 0.70 to 1.01, Ptrend = .05), lycopene (RR = 0.78, 95% CI = 0.62 to 0.99, Ptrend = .02), and total carotenoids (RR = 0.81, 95% CI = 0.68 to 0.96, Ptrend = .01). β-Cryptoxanthin was not statistically significantly associated with risk. Tests for heterogeneity across studies were not statistically significant. For several carotenoids, associations appeared stronger for estrogen receptor negative (ER(-)) than for ER(+) tumors (eg, β-carotene: ER(-): top vs bottom quintile RR = 0.52, 95% CI = 0.36 to 0.77, Ptrend = .001; ER(+): RR = 0.83, 95% CI = 0.66 to 1.04, Ptrend = .06; Pheterogeneity = .01). Conclusions This comprehensive prospective analysis suggests women with higher circulating levels of α-carotene, β-carotene, lutein+zeaxanthin, lycopene, and total carotenoids may be at reduced risk of breast cancer.

Scaffold attachment factor B1 directly interacts with nuclear receptors in living cells and represses transcriptional activity.

Transcriptional activity relies on coregulators that modify the chromatin structure and serve as bridging factors between transcription factors and the basal transcription machinery. Using the DE domain of human peroxisome proliferator-activated receptor gamma (PPARgamma) as bait in a yeast two-hybrid screen of a human adipose tissue library, we isolated the scaffold attachment factor B1 (SAFB1/HET/HAP), which was previously shown to be a corepressor of estrogen receptor alpha. We show here that SAFB1 has a very broad tissue expression profile in human and is also expressed all along mouse embryogenesis. SAFB1 interacts in pull-down assays not only with PPARgamma but also with all nuclear receptors tested so far, albeit with different affinities. The association of SAFB1 and PPARgamma in vivo is further demonstrated by fluorescence resonance energy transfer (FRET) experiments in living cells. We finally show that SAFB1 is a rather general corepressor for nuclear receptors. Its change in expression during the early phases of adipocyte and enterocyte differentiation suggests that SAFB1 potentially influences cell proliferation and differentiation decisions.

Low E2F1 transcript levels are a strong determinant of favorable breast cancer outcome.

INTRODUCTION: We investigated whether mRNA levels of E2F1, a key transcription factor involved in proliferation, differentiation and apoptosis, could be used as a surrogate marker for the determination of breast cancer outcome. METHODS: E2F1 and other proliferation markers were measured by quantitative RT-PCR in 317 primary breast cancer patients from the Stiftung Tumorbank Basel. Correlations to one another as well as to the estrogen receptor and ERBB2 status and clinical outcome were investigated. Results were validated and further compared with expression-based prognostic profiles using The Netherlands Cancer Institute microarray data set reported by Fan and colleagues. RESULTS: E2F1 mRNA expression levels correlated strongly with the expression of other proliferation markers, and low values were mainly found in estrogen receptor-positive and ERBB2-negative phenotypes. Patients with low E2F1-expressing tumors were associated with favorable outcome (hazard ratio = 4.3 (95% confidence interval = 1.8-9.9), P = 0.001). These results were consistent in univariate and multivariate Cox analyses, and were successfully validated in The Netherlands Cancer Institute data set. Furthermore, E2F1 expression levels correlated well with the 70-gene signature displaying the ability of selecting a common subset of patients at good prognosis. Breast cancer patients' outcome was comparably predictable by E2F1 levels, by the 70-gene signature, by the intrinsic subtype gene classification, by the wound response signature and by the recurrence score. CONCLUSION: Assessment of E2F1 at the mRNA level in primary breast cancer is a strong determinant of breast cancer patient outcome. E2F1 expression identified patients at low risk of metastasis irrespective of the estrogen receptor and ERBB2 status, and demonstrated similar prognostic performance to different gene expression-based predictors.

Integrated methodologies to study human transcriptional regulation from functional genomics data

Abstract : The human body is composed of a huge number of cells acting together in a concerted manner. The current understanding is that proteins perform most of the necessary activities in keeping a cell alive. The DNA, on the other hand, stores the information on how to produce the different proteins in the genome. Regulating gene transcription is the first important step that can thus affect the life of a cell, modify its functions and its responses to the environment. Regulation is a complex operation that involves specialized proteins, the transcription factors. Transcription factors (TFs) can bind to DNA and activate the processes leading to the expression of genes into new proteins. Errors in this process may lead to diseases. In particular, some transcription factors have been associated with a lethal pathological state, commonly known as cancer, associated with uncontrolled cellular proliferation, invasiveness of healthy tissues and abnormal responses to stimuli. Understanding cancer-related regulatory programs is a difficult task, often involving several TFs interacting together and influencing each other's activity. This Thesis presents new computational methodologies to study gene regulation. In addition we present applications of our methods to the understanding of cancer-related regulatory programs. The understanding of transcriptional regulation is a major challenge. We address this difficult question combining computational approaches with large collections of heterogeneous experimental data. In detail, we design signal processing tools to recover transcription factors binding sites on the DNA from genome-wide surveys like chromatin immunoprecipitation assays on tiling arrays (ChIP-chip). We then use the localization about the binding of TFs to explain expression levels of regulated genes. In this way we identify a regulatory synergy between two TFs, the oncogene C-MYC and SP1. C-MYC and SP1 bind preferentially at promoters and when SP1 binds next to C-NIYC on the DNA, the nearby gene is strongly expressed. The association between the two TFs at promoters is reflected by the binding sites conservation across mammals, by the permissive underlying chromatin states 'it represents an important control mechanism involved in cellular proliferation, thereby involved in cancer. Secondly, we identify the characteristics of TF estrogen receptor alpha (hERa) target genes and we study the influence of hERa in regulating transcription. hERa, upon hormone estrogen signaling, binds to DNA to regulate transcription of its targets in concert with its co-factors. To overcome the scarce experimental data about the binding sites of other TFs that may interact with hERa, we conduct in silico analysis of the sequences underlying the ChIP sites using the collection of position weight matrices (PWMs) of hERa partners, TFs FOXA1 and SP1. We combine ChIP-chip and ChIP-paired-end-diTags (ChIP-pet) data about hERa binding on DNA with the sequence information to explain gene expression levels in a large collection of cancer tissue samples and also on studies about the response of cells to estrogen. We confirm that hERa binding sites are distributed anywhere on the genome. However, we distinguish between binding sites near promoters and binding sites along the transcripts. The first group shows weak binding of hERa and high occurrence of SP1 motifs, in particular near estrogen responsive genes. The second group shows strong binding of hERa and significant correlation between the number of binding sites along a gene and the strength of gene induction in presence of estrogen. Some binding sites of the second group also show presence of FOXA1, but the role of this TF still needs to be investigated. Different mechanisms have been proposed to explain hERa-mediated induction of gene expression. Our work supports the model of hERa activating gene expression from distal binding sites by interacting with promoter bound TFs, like SP1. hERa has been associated with survival rates of breast cancer patients, though explanatory models are still incomplete: this result is important to better understand how hERa can control gene expression. Thirdly, we address the difficult question of regulatory network inference. We tackle this problem analyzing time-series of biological measurements such as quantification of mRNA levels or protein concentrations. Our approach uses the well-established penalized linear regression models where we impose sparseness on the connectivity of the regulatory network. We extend this method enforcing the coherence of the regulatory dependencies: a TF must coherently behave as an activator, or a repressor on all its targets. This requirement is implemented as constraints on the signs of the regressed coefficients in the penalized linear regression model. Our approach is better at reconstructing meaningful biological networks than previous methods based on penalized regression. The method is tested on the DREAM2 challenge of reconstructing a five-genes/TFs regulatory network obtaining the best performance in the "undirected signed excitatory" category. Thus, these bioinformatics methods, which are reliable, interpretable and fast enough to cover large biological dataset, have enabled us to better understand gene regulation in humans.

Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures.

INTRODUCTION: Breast cancer subtyping and prognosis have been studied extensively by gene expression profiling, resulting in disparate signatures with little overlap in their constituent genes. Although a previous study demonstrated a prognostic concordance among gene expression signatures, it was limited to only one dataset and did not fully elucidate how the different genes were related to one another nor did it examine the contribution of well-known biological processes of breast cancer tumorigenesis to their prognostic performance. METHOD: To address the above issues and to further validate these initial findings, we performed the largest meta-analysis of publicly available breast cancer gene expression and clinical data, which are comprised of 2,833 breast tumors. Gene coexpression modules of three key biological processes in breast cancer (namely, proliferation, estrogen receptor [ER], and HER2 signaling) were used to dissect the role of constituent genes of nine prognostic signatures. RESULTS: Using a meta-analytical approach, we consolidated the signatures associated with ER signaling, ERBB2 amplification, and proliferation. Previously published expression-based nomenclature of breast cancer 'intrinsic' subtypes can be mapped to the three modules, namely, the ER-/HER2- (basal-like), the HER2+ (HER2-like), and the low- and high-proliferation ER+/HER2- subtypes (luminal A and B). We showed that all nine prognostic signatures exhibited a similar prognostic performance in the entire dataset. Their prognostic abilities are due mostly to the detection of proliferation activity. Although ER- status (basal-like) and ERBB2+ expression status correspond to bad outcome, they seem to act through elevated expression of proliferation genes and thus contain only indirect information about prognosis. Clinical variables measuring the extent of tumor progression, such as tumor size and nodal status, still add independent prognostic information to proliferation genes. CONCLUSION: This meta-analysis unifies various results of previous gene expression studies in breast cancer. It reveals connections between traditional prognostic factors, expression-based subtyping, and prognostic signatures, highlighting the important role of proliferation in breast cancer prognosis.

The effect of endocrine responsiveness on high-risk breast cancer treated with dose-intensive chemotherapy: results of International Breast Cancer Study Group Trial 15-95 after prolonged follow-up.

BACKGROUND: The role of adjuvant dose-intensive chemotherapy and its efficacy according to baseline features has not yet been established. PATIENTS AND METHODS: Three hundred and forty-four patients were randomized to receive seven courses of standard-dose chemotherapy (SD-CT) or three cycles of dose-intensive epirubicin and cyclophosphamide (epirubicin 200 mg/m(2) plus cyclophosphamide 4 mg/m(2) with filgrastim and progenitor cell support). All patients were assigned tamoxifen at the completion of chemotherapy. The primary end point was disease-free survival (DFS). This paper updates the results and explores patterns of recurrence according to predicting baseline features. RESULTS: At 8.3-years median follow-up, patients assigned DI-EC had a significantly better DFS compared with those assigned SD-CT [8-year DFS percent 47% and 37%, respectively, hazard ratio (HR) 0.76; 95% confidence interval 0.58-1.00; P = 0.05]. Only patients with estrogen receptor (ER)-positive disease benefited from the DI-EC (HR 0.61; 95% confidence interval 0.39, 0.95; P = 0.03). CONCLUSIONS: After prolonged follow-up, DI-EC significantly improved DFS, but the effect was observed only in patients with ER-positive disease, leading to the hypothesis that efficacy of DI-EC may relate to its endocrine effects. Further studies designed to confirm the importance of endocrine responsiveness in patients treated with dose-intensive chemotherapy are encouraged.

Medroxyprogesterone abrogates the inhibitory effects of estradiol on vascular smooth muscle cells by preventing estradiol metabolism.

Sequential conversion of estradiol (E) to 2/4-hydroxyestradiols and 2-/4-methoxyestradiols (MEs) by CYP450s and catechol-O-methyltransferase, respectively, contributes to the inhibitory effects of E on smooth muscle cells (SMCs) via estrogen receptor-independent mechanisms. Because medroxyprogesterone (MPA) is a substrate for CYP450s, we hypothesized that MPA may abrogate the inhibitory effects of E by competing for CYP450s and inhibiting the formation of 2/4-hydroxyestradiols and MEs. To test this hypothesis, we investigated the effects of E on SMC number, DNA and collagen synthesis, and migration in the presence and absence of MPA. The inhibitory effects of E on cell number, DNA synthesis, collagen synthesis, and SMC migration were significantly abrogated by MPA. For example, E (0.1micromol/L) reduced cell number to 51+/-3.6% of control, and this inhibitory effect was attenuated to 87.5+/-2.9% by MPA (10 nmol/L). Treatment with MPA alone did not alter any SMC parameters, and the abrogatory effects of MPA were not blocked by RU486 (progesterone-receptor antagonist), nor did treatment of SMCs with MPA influence the expression of estrogen receptor-alpha or estrogen receptor-beta. In SMCs and microsomal preparations, MPA inhibited the sequential conversion of E to 2-2/4-hydroxyestradiol and 2-ME. Moreover, as compared with microsomes treated with E alone, 2-ME formation was inhibited when SMCs were incubated with microsomal extracts incubated with E plus MPA. Our findings suggest that the inhibitory actions of MPA on the metabolism of E to 2/4-hydroxyestradiols and MEs may negate the cardiovascular protective actions of estradiol in postmenopausal women receiving estradiol therapy combined with administration of MPA.