Support Vector Machine Classifier for Estrogen Receptor Positive and Negative Early-Onset Breast Cancer

Two major breast cancer sub-types are defined by the expression of estrogen receptors on tumour cells. Cancers with large numbers of receptors are termed estrogen receptor positive and those with few are estrogen receptor negative. Using genome-wide single nucleotide polymorphism genotype data for a sample of early-onset breast cancer patients we developed a Support Vector Machine (SVM) classifier from 200 germline variants associated with estrogen receptor status (p<0.0005). Using a linear kernel Support Vector Machine, we achieved classification accuracy exceeding 93%. The model indicates that polygenic variation in more than 100 genes is likely to underlie the estrogen receptor phenotype in early-onset breast cancer. Functional classification of the genes involved identifies enrichment of functions linked to the immune system, which is consistent with the current understanding of the biological role of estrogen receptors in breast cancer.     

Analysis of PIK3CA Mutations and Activation Pathways in Triple Negative Breast Cancer

Background

Triple Negative Breast Cancer (TNBC) accounts for 12–24% of all breast carcinomas, and shows worse prognosis compared to other breast cancer subtypes. Molecular studies demonstrated that TNBCs are a heterogeneous group of tumors with different clinical and pathologic features, prognosis, genetic-molecular alterations and treatment responsivity. The PI3K/AKT is a major pathway involved in the regulation of cell survival and proliferation, and is the most frequently altered pathway in breast cancer, apparently with different biologic impact on specific cancer subtypes. The most common genetic abnormality is represented by PIK3CA gene activating mutations, with an overall frequency of 20–40%. The aims of our study were to investigate PIK3CA gene mutations on a large series of TNBC, to perform a wider analysis on genetic alterations involving PI3K/AKT and BRAF/RAS/MAPK pathways and to correlate the results with clinical-pathologic data.

Materials and Methods

PIK3CA mutation analysis was performed by using cobas® PIK3CA Mutation Test. EGFR, AKT1, BRAF, and KRAS genes were analyzed by sequencing. Immunohistochemistry was carried out to identify PTEN loss and to investigate for PI3K/AKT pathways components.

Results

PIK3CA mutations were detected in 23.7% of TNBC, whereas no mutations were identified in EGFR, AKT1, BRAF, and KRAS genes. Moreover, we observed PTEN loss in 11.3% of tumors. Deregulation of PI3K/AKT pathways was revealed by consistent activation of pAKT and p-p44/42 MAPK in all PIK3CA mutated TNBC.

Conclusions

Our data shows that PIK3CA mutations and PI3K/AKT pathway activation are common events in TNBC. A deeper investigation on specific TNBC genomic abnormalities might be helpful in order to select patients who would benefit from current targeted therapy strategies.     

Characterization of Catecholestrogen Membrane Binding Sites in Estrogen Receptor Positive and Negative Human Breast Cancer Cell-Lines

Abstract

A specific membrane-binding of an estradiol metabolite, the catecholestrogen (CE) 2 hydroxyestrone (2OH-E1), was demonstrated in two receptor-positive (MCF7 and VHB1) and one receptor-negative (MDA-MB-231) human mammary carcinoma cell lines. The three cell lines were found to be able to synthesise and inactivate CE. Solubilization of membrane bound CE results in a high molecular weight component whose specificity differs from that of the classical estrogen receptor. Apparent dissociation constants were 6-10. 10^?9 M and binding capacities were higher in the receptor positive cell lines than in the receptor-negative one. Since CE are susceptible to rapid degradation, the presence of such a site may be relevant in the protection and concentration of 2OH-E1 which has been shown to have “in vitro” anti-estrogenic properties in MCF7 breast tumor cells.     

Identification of a Gene (GPR30) with Homology to the G-Protein-Coupled Receptor Superfamily Associated with Estrogen Receptor Expression in Breast Cancer

Using the technique of differential cDNA library screening, a cDNA clone was isolated from an estrogen receptor (ER)-positive breast carcinoma cell line (MCF7) cDNA library based upon the overexpression of this gene compared to an ER-negative cell line (MDA-MB-231). Sequence analysis of this clone determined that it shared significant homology to G-protein-coupled receptors. This receptor, GPCR-Br, was abundantly expressed in the ER-positive breast carcinoma cell lines MCF7, T-47D, and MDA-MB-361. Expression was absent or minimal in the ER-negative breast carcinoma cell lines BT-20, MDA-MB-231, and HBL-100. GPCR-Br was ubiquitously expressed in human tissues examined but was most abundant in placenta. GPCR-Br expression was examined in 11 primary breast carcinomas. GPCR-Br was detected in all 4 ER-positive tumors and only 1 of 7 ER-negative tumors. Based upon PCR analysis in hybrid cell lines, the gene for GPCR-Br (HGMW-approved symbol GPR30) was mapped to chromosome 7p22. The pattern of expression of GPCR-Br indicates that this receptor may be involved in physiologic responses specific to hormonally responsive tissues.     

Increased MAPK1/3 Phosphorylation in Luminal Breast Cancer Related with PIK3CA Hotspot Mutations and Prognosis

INTRODUCTION: While mutations in PIK3CA are most frequently (45%) detected in luminal breast cancer, downstream PI3K/AKT/mTOR pathway activation is predominantly observed in the basal subtype. The aim was to identify proteins activated in PIK3CA mutated luminal breast cancer and the clinical relevance of such a protein in breast cancer patients. MATERIALS AND METHODS: Expression levels of 171 signaling pathway (phospho-)proteins established by The Cancer Genome Atlas (TCGA) using reverse phase protein arrays (RPPA) were in silico examined in 361 breast cancers for their relation with PIK3CA status. MAPK1/3 phosphorylation was evaluated with immunohistochemistry on tissue microarrays (TMA) containing 721 primary breast cancer core biopsies to explore the relationship with metastasis-free survival. RESULTS: In silico analyses revealed increased phosphorylation of MAPK1/3, p38 and YAP, and decreased expression of p70S6K and 4E–BP1 in PIK3CA mutated compared to wild-type luminal breast cancer. Augmented MAPK1/3 phosphorylation was most significant, i.e. in luminal A for both PIK3CA exon 9 and 20 mutations and in luminal B for exon 9 mutations. In 290 adjuvant systemic therapy naïve lymph node negative (LNN) breast cancer patients with luminal cancer, high MAPK phosphorylation in nuclei (HR = 0.49; 95% CI, 0.25–0.95; P = .036) and in tumor cells (HR = 0.37; 95% CI, 0.18–0.79; P = .010) was related with favorable metastasis-free survival in multivariate analyses including traditional prognostic factors. CONCLUSION: Enhanced MAPK1/3 phosphorylation in luminal breast cancer is related to PIK3CA exon-specific mutations and correlated with favorable prognosis especially when located in the nuclei of tumor cells.     

Methylation of the Claudin 1 Promoter Is Associated with Loss of Expression in Estrogen Receptor Positive Breast Cancer

Downregulation of the tight junction protein claudin 1 is a frequent event in breast cancer and is associated with recurrence, metastasis, and reduced survival, suggesting a tumor suppressor role for this protein. Tumor suppressor genes are often epigenetically silenced in cancer. Downregulation of claudin 1 via DNA promoter methylation may thus be an important determinant in breast cancer development and progression. To investigate if silencing of claudin 1 has an epigenetic etiology in breast cancer we compared gene expression and methylation data from 217 breast cancer samples and 40 matched normal samples available through the Cancer Genome Atlas (TCGA). Moreover, we analyzed claudin 1 expression and methylation in 26 breast cancer cell lines. We found that methylation of the claudin 1 promoter CpG island is relatively frequent in estrogen receptor positive (ER+) breast cancer and is associated with low claudin 1 expression. In contrast, the claudin 1 promoter was not methylated in most of the ER-breast cancers samples and some of these tumors overexpress claudin 1. In addition, we observed that the demethylating agents, azacitidine and decitabine can upregulate claudin 1 expression in breast cancer cell lines that have a methylated claudin 1 promoter. Taken together, our results indicate that DNA promoter methylation is causally associated with downregulation of claudin 1 in a subgroup of breast cancer that includes mostly ER+ tumors, and suggest that epigenetic therapy to restore claudin 1 expression might represent a viable therapeutic strategy in this subtype of breast cancer.     

Oestrogen Receptor in Human Breast Cancer Tissue and Response to Endocrine Therapy

Oestrogen receptor determinations were done in metastatic breast cancer tissue of patients with advanced breast cancer. In 37 patients with progressive disease evaluation of the response to endocrine treatment was possible, following the criteria of the E.O.R.T.C. Co-operative Breast Cancer Group. In 20 patients with receptor-negative tumours two objective remissions were noted; in 17 patients with receptor-positive tumours 14 objective remissions were seen. There seems to be a striking correlation between the presence or absence of oestrogen receptor in tumour tissue and the clinical response to hormonal therapy.     

Estrogen Receptor Expression Is Associated with DNA Repair Capacity in Breast Cancer

Estrogen-receptor-positive (ER+) tumors employ complex signaling that engages in crosstalk with multiple pathways through genomic and non-genomic regulation. A greater understanding of these pathways is important for developing improved biomarkers that can better determine treatment choices, risk of recurrence and cancer progression. Deficiencies in DNA repair capacity (DRC) is a hallmark of breast cancer (BC); therefore, in this work we tested whether ER signaling influences DRC. We analyzed the association between ER positivity (% receptor activation) and DRC in 270 BC patients, then further stratified our analysis by HER2 receptor status. Our results show that among HER2 negative, the likelihood of having low DRC values among ER- women is 1.92 (95% CI: 1.03, 3.57) times the likelihood of having low DRC values among ER+ women, even adjusting for different potential confounders (p<0.05); however, a contrary pattern was observed among HER2 positives women. In conclusion, there is an association between DRC levels and ER status, and this association is modified by HER2 receptor status. Adding a DNA repair capacity test to hormone receptor testing may provide new information on defective DNA repair phenotypes, which could better stratify BC patients who have ER+ tumors. ER+/HER2- tumors are heterogeneous, incompletely defined, and clinically challenging to treat; the addition of a DRC test could better characterize and classify these patients as well as help clinicians select optimal therapies, which could improve outcomes and reduce recurrences.     

Activating PIK3CA Mutations Induce an Epidermal Growth Factor Receptor (EGFR)/Extracellular Signal-regulated Kinase (ERK) Paracrine Signaling Axis in Basal-like Breast Cancer

Mutations in PIK3CA, the gene encoding the p110α catalytic subunit of phosphoinositide 3-kinase (PI3K) have been shown to transform human mammary epithelial cells (MECs). These mutations are present in all breast cancer subtypes, including basal-like breast cancer (BLBC). Using liquid chromatography-tandem mass spectrometry (LC-MS/MS), we identified 72 protein expression changes in human basal-like MECs with knock-in E545K or H1047R PIK3CA mutations versus isogenic MECs with wild-type PIK3CA. Several of these were secreted proteins, cell surface receptors or ECM interacting molecules and were required for growth of PIK3CA mutant cells as well as adjacent cells with wild-type PIK3CA. The proteins identified by MS were enriched among human BLBC cell lines and pointed to a PI3K-dependent amphiregulin/EGFR/ERK signaling axis that is activated in BLBC. Proteins induced by PIK3CA mutations correlated with EGFR signaling and reduced relapse-free survival in BLBC. Treatment with EGFR inhibitors reduced growth of PIK3CA mutant BLBC cell lines and murine mammary tumors driven by a PIK3CA mutant transgene, all together suggesting that PIK3CA mutations promote tumor growth in part by inducing protein changes that activate EGFR.PIK3CA¹, the gene encoding the p110α catalytic subunit of phosphatidylinositide-3 kinase (PI3K), is one of the two most frequently mutated genes in breast cancer. Approximately 80% of these mutations occur in two hot spots in the helical domain (E545K, E542K) and in the catalytic domain (H1047R). PIK3CA activating mutations occur in ∼40% of luminal and HER2-enriched breast cancer subtypes and ∼10% of basal-like breast cancer (BLBC) (1). In this last tumor subtype, mutations in PIK3CA are the most frequent activating kinase mutation. Thus, understanding of how PIK3CA mutations operate in BLBC is important for identifying therapeutic targets in this subtype of the disease, which lacks approved targeted therapies.To elucidate mechanisms by which mutant PIK3CA transforms MECs, we used immortalized, nontumorigenic MCF10A cells, which exhibit basal-like gene expression. Although MCF10A cells require growth factors for proliferation (2), heterozygous knock-in of E545K or H1047R PIK3CA mutation allows growth factor-independent proliferation (3). These knock-in PIK3CA mutant MECs provide a robust model in which to study the impact of these mutations without the effects of random insertion and overexpression associated with ectopic gene transduction. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of these cells identified 72 proteins concordantly altered by both PIK3CA mutations. A significant fraction of these were secreted proteins, cell surface receptors or ECM interacting molecules, suggesting PIK3CA mutations induce changes involving communication with the tumor microenvironment. This analysis identified a PI3K-induced amphiregulin (AREG)-EGFR-ERK signaling pathway that was required for growth of PIK3CA-mutant cells as well as adjacent PIK3CA-WT cells. In addition, these protein changes correlated with poor clinical outcome in BLBC. EGFR antagonists inhibited growth of PIK3CA mutant BLBC tumors, suggesting a potential therapeutic strategy for patients with this molecular subtype of breast cancer.     

Proteomic Signatures of Acquired Letrozole Resistance in Breast Cancer: Suppressed Estrogen Signaling and Increased Cell Motility and Invasiveness

Aromatase inhibitors, such as letrozole, have become the first-line treatment for postmenopausal women with estrogen-dependent breast cancer. However, acquired resistance remains a major clinical obstacle. Previous studies demonstrated constitutive activation of the MAPK signaling, overexpression of HER2, and down-regulation of aromatase and ERα in letrozole-resistant breast cancer cells. Given the complex signaling network involved in letrozole-refractory breast cancer and the lack of effective treatment for hormone resistance, further investigation of aromatase inhibitor resistance by a novel systems biology approach may reveal previously unconsidered molecular changes that could be utilized as therapeutic targets. This study was undertaken to characterize for the first time global proteomic alterations occurring in a letrozole-resistant cell line. A quantitative proteomic analysis of the whole cell lysates of LTLT-Ca (resistant) versus AC-1 cells (sensitive) was performed to identify significant protein expression changes. A total of 1743 proteins were identified and quantified, of which 411 were significantly up-regulated and 452 significantly down-regulated (p < 0.05, fold change > 1.20). Bioinformatics analysis revealed that acquired letrozole resistance is associated with a hormone-independent, more aggressive phenotype. LTLT-Ca cells exhibited 84% and 138% increase in migration and invasion compared with the control cells. The ROCK inhibitor partially abrogated the enhanced migration and invasion of the letrozole-resistant cells. Flow cytometric analyses also demonstrated an increase in vimentin and twist expression in letrozole-resistance cells, suggesting an onset of epithelial to mesenchymal transition (EMT). Moreover, targeted gene expression arrays confirmed a 28-fold and sixfold up-regulation of EGFR and HER2, respectively, whereas ERα and pS2 were dramatically reduced by 28-fold and 1100-fold, respectively. Taken together, our study revealed global proteomic signatures of a letrozole-resistant cell line associated with hormone independence, enhanced cell motility, EMT and the potential values of several altered proteins as novel prognostic markers or therapeutic targets for letrozole resistant breast cancer.Aromatase inhibitors (AIs)¹ have increasingly been used to treat ER positive breast cancer in postmenopausal women as adjuvant or neoadjuvant therapy (1, 2). AIs block estrogen production by inhibiting the aromatization reaction that converts androgens to estrogens, resulting in the remission of estrogen dependent breast tumors. However, acquired resistance occurs in the majority of patients after several years of AI treatment, and this may ultimately lead to eventual relapse of the disease (3, 4). Therefore it is necessary to better understand the resistance mechanisms to abrogate or delay the onset of AI resistance. Numerous studies have used in vitro and in vivo models to dissect the adaptive signaling events in the development of AI resistance in breast cancer (5, 6). The in vitro long term estrogen deprivation (LTED) model has been proposed to represent AI resistance in breast cancer that also showed cross-resistance to other hormonal treatment (7). However, the LTEDaro lines did not cluster with the AI-resistant lines (8). Alternatively, in vivo models using cells derived from mouse xenografts have been widely used to study the mechanism of AI resistance and potential therapeutic strategies (3, 9–11). Notably, ER expression levels were up-regulated in the LTED model (7) but down-regulated in the letrozole resistant breast cancer cells (12, 13).In in vitro experiments, it has been found that although MCF-7 and T47D (both ER+ breast cancer cell lines) express detectable levels of aromatase, the enzymatic activity is rather low for experimental studies of the action of aromatase inhibitors and subsequent resistance to AIs. It is recognized that the aromatase activity in MCF-7aro cells is significantly higher than that in typical breast cancer and surrounding adipose stromal cells. However, the aromatase activity in breast tumors can be elevated in situ by cytokines, cAMP, and cancer-promoting agents which stimulate protein kinase C activity (14–17). Thus these MCF-7 and AC1 cell lines are appropriate models for studying the balance between the androgenic and estrogenic effect in breast cancer as they express significant levels of AR and ER. Clinically, it has been observed that ∼66% of breast carcinomas contain aromatase (the rate-limiting enzyme responsible for estrogen biosynthesis), and the estrogen synthesized in situ has a role in stimulating the tumor (18, 19). In breast, ovarian, uterine, and prostate cancer, activation of PI.3/II leads to the overexpression of aromatase within the tissues themselves, and this has been associated with an increase in tumor growth (20, 21).In the mouse xenograft model established in Brodie''s laboratory, MCF-7 cells were stably transfected with the human aromatase gene and grown in ovariectomized female nude mice treated with letrozole for over 56 weeks (12, 22). Subsequent studies of these long-term letrozole treated (LTLT-Ca) cells isolated from these tumors confirmed the up-regulation of Her2/MAPK signaling cascade and the p160 coactivator, amplified in breast cancer 1 (AIB1), as an adaptive survival pathway (5, 12, 13, 23). Inhibition of MAPK led to reduced cell proliferation and restoration of ER expression, implicating the occurrence of crosstalk between ER and growth factor receptor signaling. Moreover, inhibition of Her2 restored the sensitivity of LTLT-Ca cells to letrozole (10, 23). In the genome-wide analysis of several hormone resistant cell lines, elevated DNA replication, recombination, repair function, cell cycle control, and the pyrimidine metabolism pathway were also found as an enhanced survival mechanism in the resistant cells (6, 7). Given the complex signaling network involved in AI refractory breast cancer and the lack of effective treatment for hormone resistance, further investigation of AI resistance by a global proteomics-based systems biology approach may reveal previously unconsidered molecular changes that could be used as therapeutic targets. Therefore, the objective of this study is to characterize global proteomic alterations occurring in the letrozole resistant cell line, originating from the Brodie laboratory (12).Here we have performed a quantitative proteomic analysis of the whole cell lysis samples of LTLT-Ca against the letrozole sensitive control cell line, AC-1, using a gel-free approach. To achieve relative quantitation of proteins we used a tandem mass tag labeling technique where each sample is triply labeled for analytical precision. Fractionation and nanoflow reverse phase HPLC were employed in combination with a high-resolution tandem mass spectrometer for peptide separation and identification. Identified protein markers were then analyzed by bioinformatics tools to gain insight into global adaptive signaling modulations as a result of acquired resistance to letrozole.     

Correlative Analysis of miRNA Expression and Oncotype Dx Recurrence Score in Estrogen Receptor Positive Breast Carcinomas

Altered expression of miRNAs has been observed in many types of cancer, including breast cancer, and shown to contribute to cancer growth, aggressiveness, and response to therapies. In this pilot study, we investigated the possible correlation of miRNAs with risk of recurrence of estrogen receptor positive, lymph node-negative mammary carcinomas as determined by the Oncotype DX^® Breast Cancer assay. To accomplish this, we extracted RNA from a collection of breast carcinomas that had previously been analyzed by Oncotype DX^®. Multiple Let-7 family members were negatively correlated with the recurrence score (RS), which is consistent with their tumor suppressor properties. Additional miRNAs were found to positively correlate with RS, including miR-377-5p, miR-633b, miR-548t and miR-3648. Pathway analysis of putative and validated targets suggests that these miRNAs may have a diverse range of functions that may contribute to tumor recurrence. Taken together, these findings provide evidence that a miRNA expression signature can be developed to aid existing methods to determine the risk of recurrence for women with estrogen receptor positive breast cancers treated with endocrine therapy.     

Expression of Autophagy-Related Proteins According to Androgen Receptor and HER-2 Status in Estrogen Receptor-Negative Breast Cancer

Purpose

The purpose of this study was to investigate the expression of autophagy-related proteins in relation to androgen receptor (AR) status in estrogen receptor (ER)-negative breast cancers.

Methods

We extracted 334 ER-negative breast cancer samples to construct tissue microarrays (TMAs), which were immunohistochemically stained for autophagy-related proteins (beclin-1, LC3A, LC3B, p62) and for AR and HER-2.

Results

There were 127 AR-positive cases and 207 AR-negative cases, and 140 HER-2-positive cases and 194 HER-2 negative cases. The AR-negative group was associated with tumoral LC3A expression (P<0.001), while the AR-positive group was associated with tumoral BNIP3 expression (P<0.001). Tumoral LC3A was most highly expressed in the AR-negative and HER-2 negative group, while stromal LC3A showed the highest expression in the AR-negative and HER-2-positive group. Tumoral BNIP3 and stromal BNIP3 were highest in the AR-positive and HER-2-negative group. In the AR-positive and HER-2-negative group, stromal p62 positivity was an independent factor that was statistically significant in its association with shorter disease-free survival (DFS) (Hazard ratio: 10.21, 95% CI: 1.130–92.31, P = 0.039). Shorter DFS was associated with tumoral LC3A positivity (Hazard ratio: 10.28, 95% CI: 2.068–51.19, P = 0.004) in the AR-negative and HER-2-positive group.

Conclusion

In ER-negative breast cancers, AR status was associated with expression of different types of autophagy-related proteins. Tumoral LC3A was most highly expressed in AR-negative breast cancers, while tumor BNIP3 was highest in AR-positive breast cancers.     

Obesity Suppresses Estrogen Receptor Beta Expression in Breast Cancer Cells via a HER2-Mediated Pathway

Obesity is associated with a worse breast cancer prognosis, while greater breast tumor estrogen receptor beta (ERβ) expression is correlated with improved therapy response and survival. The objective of this study was to determine the impact of obesity on breast cancer cell ERβ expression, which is currently unknown. We utilized an in vitro model of obesity in which breast cancer cells were exposed to patient serum pooled by body mass index category (obese (OB): ≥30 kg/m²; normal weight (N): 18.5–24.9 kg/m²). Four human mammary tumor cell lines representing the major breast cancer subtypes (SKBR3, MCF-7, ZR75, MDA-MB-231) and mammary tumor cells from MMTV-neu mice were used. ERβ expression, assessed by qPCR and western blotting, was suppressed in the two HER2-overexpressing cell lines (SKBR3, MMTV-neu) following OB versus N sera exposure, but did not vary in the other cell lines. Expression of Bcl-2 and cyclin D1, two genes negatively regulated by ERβ, was elevated in SKBR3 cells following exposure to OB versus N sera, but this difference was eliminated when the ERβ gene was silenced with siRNA. Herceptin, a HER2 antagonist, and siRNA to HER2 were used to evaluate the role of HER2 in sera-induced ERβ modulation. SKBR3 cell treatment with OB sera plus Herceptin increased ERβ expression three-fold. Similar results were obtained when HER2 expression was silenced with siRNA. OB sera also promoted greater SKBR3 cell viability and growth, but this variance was not present when ERβ was silenced or the cells were modified to overexpress ERβ. Based on this data, we conclude that obesity-associated systemic factors suppress ERβ expression in breast cancer cells via a HER2-mediated pathway, leading to greater cell viability and growth. Elucidation of the mechanism(s) mediating this effect could provide important insights into how ERβ expression is regulated as well as how obesity promotes a more aggressive disease.     

Breast Cancer Incidence in Black and White Women Stratified by Estrogen and Progesterone Receptor Statuses

Background

There is increasing evidence that breast cancer is a heterogeneous disease presented by different phenotypes and that white women have a higher breast cancer incidence rate, whereas black women have a higher mortality rate. It is also well known that white women have lower incidence rates than black women until approximately age 40, when rate curves cross over and white women have higher rates. The goal of this study was to validate the risk of white and black women to breast cancer phenotypes, stratified by statuses of the estrogen (ER) and progesterone (PR) receptors.

Methodology/Principal Findings

SEER17 data were fractioned by receptor status into [ER+, PR+], [ER−, PR−], [ER+, PR−], and [ER−, PR+] phenotypes. It was shown that in black women compared to white women, cumulative age-specific incidence rates are: (i) smaller for the [ER+, PR+] phenotype; (ii) larger for the [ER−, PR−] and [ER−, PR+] phenotypes; and (iii) almost equal for the [ER+, PR−] phenotype. Clemmesen''s Hook, an undulation unique to women''s breast cancer age-specific incidence rate curves, is shown here to exist in both races only for the [ER+, PR+] phenotype. It was also shown that for all phenotypes, rate curves have additional undulations and that age-specific incidence rates are nearly proportional in all age intervals.

Conclusions/Significance

For black and white women, risk for the [ER+, PR+], [ER−, PR−] and [ER−, PR+] phenotypes are race dependent, while risk for the [ER+, PR−] phenotype is almost independent of race. The processes of carcinogenesis in aging, leading to the development of each of the considered breast cancer phenotypes, are similar in these racial groups. Undulations exhibited on the curves of age-specific incidence rates of the considered breast cancer phenotypes point to the presence of several subtypes (to be determined) of each of these phenotypes.     

Estrogen Receptor 1 Gene Expression and Its Combination with Estrogen Receptor 2 or Aromatase Expression Predicts Survival in Non-Small Cell Lung Cancer

The biological roles of estrogen receptor 1 (ERS1), estrogen receptor 2 (ERS2), and aromatase (CYP19A1) genes in the development of non-small cell lung cancer (NSCLC) is unclear, as is the use of their expression as a prognostic factor. The aim of this study was to investigate the prognostic value of estrogen receptors and aromatase mRNA expression, along with aromatase protein concentration, in resected NSCLC patients. Tumor and non-tumor lung tissue samples were analyzed for the mRNA expression of ERS1, ERS2 and CYP19A1 by RT-PCR. Aromatase concentration was measured with an ELISA. A total of 96 patients were included. ERS1 expression was significantly higher in non-tumor tissue than in tumor samples. Two gene expression categories were created for each gene (and protein): high and low. ERS1 high category showed increased overall survival (OS) when compared to the low expression category. Aromatase protein concentration was significantly higher in tumor samples. Higher ERS1 expression in tumor tissues was related to longer overall survival. The analysis of gene expression combinations provides evidence for longer OS when both ERS1 and ERS2 are highly expressed. ESR1, alone or in combination with ERS2 or CYP19A1, is the most determining prognostic factor within the analyzed 3 genes. It seems that ERS1 can play a role in NSCLC prognosis, alone or in combination with other genes such as ERS2 or Cyp19a1. ERS2 in combination with aromatase concentration could have a similar function.