Positive Regulation of Estrogen Receptor Alpha in Breast Tumorigenesis

Population attributable risk of a competing-risk model for breast cancer and non-breast cancer death among women ≥ 65 years

PURPOSE

To inform decision making around mammography-screening frequency and cessation, we previously used Fine-Gray competing-risk regression to develop and validate a model to estimate older women's 10-year risk of breast cancer and their competing risk of non-breast cancer (non-BC) death. Here, we aimed to understand the amount of incident breast cancer and non-BC death risk explained by our model among women ≥ 65y.

METHODS

We included women ≥ 65y who completed the 2004 Nurses' Health Study questionnaire (NHS, n = 59,662) or who participated in the Women's Health Initiative-Extension Study (WHI-ES, n = 82,528). We calculated our model's full and risk factor-specific population attributable risk (PAR%) for incident breast cancer and non-BC death.

RESULTS

Mean age of the NHS participants was 73.5y (SD 5.2); 3.1% were diagnosed with breast cancer and 26.1% experienced non-BC death within 10 years. Mean age of WHI-ES participants was 73.6y (SD 5.4); 4.2% were diagnosed with breast cancer and 17.7% experienced non-BC death within 10 years. The full-model PAR% for breast cancer was 58.8% (22.7-80.6) in NHS and 54.8% (24.8-75.2%) in WHI-ES. Modifiable risk factors explained approximately 1/3 of breast cancer risk; BMI ≥ 30 had a PAR% of 6.5% (3.1-9.9%) in NHS and 12.2% (8.5-16.0%) in WHI-ES. For non-BC death, the full-model PAR% was 94.2% (91.4-96.1%) in NHS and 86.2% (80.9-90.0%) in WHI-ES.

CONCLUSIONS

Our competing-risk model explained the majority of breast cancers and non-BC deaths in women ≥ 65y, and we identified risk factors (e.g., elevated BMI) that may be targeted to reduce the burden of breast cancer in older women.

Coumarins from Citrus aurantiifolia (Christm.) Swingle Peel with Potential Cytotoxic Activity Against MCF-7 Breast Cancer Cell Line: In Vitro and In Silico Studies

Aim

Breast cancer remains a prevalent and challenging health issue for women globally. In the pursuit of more effective and less harmful therapies, researchers have focused on natural compounds, especially phenolic compounds found in various plants and fruits.

Purpose

This study aims to explore the potency of coumarin compounds from Citrus aurantiifolia (Christm.) Swingle peel as alternative treatment for breast cancer through in vitro and in silico studies.

Methods

Three coumarins were isolated from C. aurantiifolia peel through multiple steps of column chromatograph. Their cytotoxic activities against the MCF-7 breast cancer cell line were evaluated using the MTT assay. Additionally, in silico studies, including molecular docking and molecular dynamics simulations, were conducted to evaluate the interactions of the most potent compound with estrogen receptor alpha (ERα).

Results

Chemical investigation of C. aurantiifolia peel led to the isolation of three compounds: 5-geranyloxy-7-methoxycoumarin (1), 5-geranyloxypsoralen (2), and 8-geranyloxypsoralen (3). Cytotoxic assays revealed that compound 2 exhibited the highest cytotoxic potency against MCF-7 breast cancer cell line with an IC50 of 138.51 ± 14.44 µg/mL, followed by compounds 1 and 3 with IC50 values of 204.69 ± 22.91 and 478.15 ± 34.85 µg/mL, respectively. Molecular docking studies against estrogen receptor alpha (ERα) showed that 5-geranyloxypsoralen (2) had a lower docking score (-10.63 kcal/mol) compared to estradiol (-9.99 kcal/mol). Molecular dynamics simulation revealed the binding stability ERα-Compound 2 complex as evidence from the root mean square deviation (RMSD) of 2.964 ± 0.460 Å. Furthermore, pharmacokinetic predictions suggested that 5-geranyloxypsoralen may possess favourable pharmacokinetic properties, highlighting its potential as a therapeutic agent.

Conclusion

The study highlights the potential of coumarin compounds from C. aurantiifolia peel as an alternative treatment for breast cancer, particularly 5-geranyloxypsoralen could be a promising therapeutic agent in breast cancer treatment, warranting further investigation.

Methylation of ESRα Promoters in Benign Breast Tumors Could Be a Signature for Progression to Breast Cancer in African American Women

BACKGROUND/AIM

Methylation in the estrogen receptor alpha (ESRα) promoter is an epigenetic abnormality associated with breast cancer (BCa), whereas hypermethylation results in the loss of ER expression.

MATERIALS AND METHODS

Pyrosequencing was used to investigate a potential link between aberrant methylation in the P0/P1 promoters of ESRα and the risk of progression of benign fibrocystic and fibroadenoma tumors to BCa.

RESULTS

Results showed a significantly elevated level of DNA methylation in ESRα P1 promoter (p=0.0001) in fibroadenoma compared to ER-negative BCa tumors and a two-fold increased ESRα expression in fibrocystic and fibroadenoma benign tissues. In addition, methylation levels of HIN-1 and RASSF1A promoters were elevated in ER-positive compared to ER-negative BCa (p-value<0.04). ANOVA Mixed Model revealed significantly higher methylation levels in the promoter of RASSF1A for fibroadenoma and ER-positive BCa (p=0.004) compared to ER-negative BCa. Tumors with unclassified molecular subtypes (ER-positive, PR-negative, HER2-negative) had elevated levels of methylation (p=0.046) in the P0 promoter compared with luminal B (ER-positive, PR-positive, HER2-positive) tumors. Grade 3 tumors showed a borderline association with ESRα P1 promoter methylation when compared with grade 2 tumors (p=0.056).

CONCLUSION

ESRα P0 promoter hypermethylation may occur in the early stages of breast carcinogenesis, while P1 promoter methylation appears in later stages with a poor prognosis. Therefore, methylation of the ESRα promoter and other tumor-related genes could serve as a potential biomarker for predicting fibroadenoma progression risk to BCa.

Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets

Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a step toward molecular subtype application in the clinic. We validate select classifiers using external datasets. Predictive performance and classifier-selected features yield insight into the different machine-learning approaches and genomic data platforms. For each cancer and data type we provide containerized versions of the top-performing models as a public resource.

OBHSA, a novel selective estrogen receptor degrader, overcomes tamoxifen resistance through cell cycle arrest and unfolded protein response-mediated apoptosis in breast cancer

Breast cancer (BC) is a highly heterogeneous tumor that has surpassed lung cancer as the most frequently diagnosed cancer in women. In clinical practice,the primary approach for treating estrogen receptor alpha (ERα)-positive BC is through endocrine therapy, which involves targeting the ERα using medications like tamoxifen and fulvestrant. However, the problem of de novo or acquired resistance poses a significant clinical challenge, emphasizing the critical need for the development of novel therapeutic strategies. In this regard, we have successfully designed and developed a novel selective estrogen receptor degrader (SERD) called OBHSA, which specifically targets and degrades ERα, demonstrating remarkable efficacy. Our findings revealed the effectiveness of OBHSA in inhibiting the proliferation of various BC cells, including both tamoxifen-sensitive and tamoxifen-resistant BC cells, indicating its great potential to overcome endocrine resistance. In terms of mechanism, we discovered that OBHSA overcame tamoxifen resistance through two distinct pathways. Firstly, OBHSA degraded cyclin D1 in an ERα-dependent manner, thereby blocking the cell cycle. Secondly, OBHSA induced an elevation in intracellular reactive oxygen species, triggering an excessive activation of the unfolded protein response (UPR) and ultimately leading to apoptotic cell death. In summary, our finding demonstrated that OBHSA exerts anti-tumor effects by inducing cell cycle arrest and UPR-mediated apoptosis. These findings hold promise for the development of novel therapeutic drugs targeting endocrine-resistant BC.

dCas9-HDAC8-EGFP fusion enables epigenetic editing of breast cancer cells by H3K9 deacetylation

Epigenetic editing is thriving as a robust tool for manipulating transcriptional regulation and cell fate. Despite its regulatory role in gene downregulation, epigenetic editing with histone deacetylation has been sparsely studied, especially in the context of cancer. In this current study, we have reconstructed a dCas9-HDAC8-EGFP fusion to perform histone deacetylation on the promoter of the ESR1, TERT and CDKN1C genes for the first time in breast cancer cell lines MCF-7 and MDA-MB-231 as well as in HEK293T cells. Our results demonstrated that dCas9-HDAC8-EGFP in combination with appropriate gRNAs were able to downregulate the expression of the ESR1, TERT and CDKN1C genes transcriptionally by specifically depleting the H3K9ac level on the recruitment loci. The addition of histone deacetylase inhibitors was found to neutralize the outcomes of dCas9-HDAC8-EGFP-induced epigenetic editing. Furthermore, we observed a significant downregulation of full length ERα expression in epigenetically edited MCF-7 cells with consequential alteration in cellular response toward estradiol and tamoxifen treatment due to dCas9-HDAC8-EGFP mediated epigenetic editing of the ESR1 gene. Overall, dCas9-HDAC8-EGFP is a novel circuit that enabled downregulation of crucial genes with cellular outcome in breast cancer cells by preferentially inducing H3K9 deacetylation of specific promoter regions.

Histone H4 asymmetrically dimethylated at arginine 3 (H4R3me2a), a mark of super-enhancers

Histone H4 asymmetrically dimethylated at arginine 3 (H4R3me2a) is an active histone mark catalyzed by protein arginine methyltransferase 1 (PRMT1), a major arginine methyltransferase in vertebrates catalyzing asymmetric dimethylation of arginine. H4R3me2a stimulates the activity of lysine acetyltransferases such as CBP/p300, which catalyze the acetylation of H3K27, a mark of active enhancers, super-enhancers, and promoters. There are a few studies on the genomic location of H4R3me2a. In chicken polychromatic erythrocytes, H4R3me2a is found in introns and intergenic regions and binds to the globin locus control region (a super-enhancer) and globin regulatory regions. In this report, we analyzed chromatin immunoprecipitation sequencing data for the genomic location of H4R3me2a in the breast cancer cell line MCF7. As in avian cells, MCF7 H4R3me2a is present in intronic and intergenic regions. Nucleosomes with H4R3me2a and H3K27ac next to nucleosome-free regions are found at super-enhancers, enhancers, and promoter regions of expressed genes. Genes with critical roles in breast cancer cells have broad domains of nucleosomes with H4R3me2a, H3K27ac, and H3K4me3. Our results are consistent with PRMT1-mediated H4R3me2a playing a key role in the chromatin organization of regulatory regions of vertebrate genomes.

Single-cell analysis reveals landscape of endometrial cancer response to estrogen and identification of early diagnostic markers

BACKGROUND

The development of endometrial cancer (EC) is closely related to the abnormal activation of the estrogen signaling pathway. Effective diagnostic markers are important for the early detection and treatment of EC.

METHOD

We downloaded single-cell RNA sequencing (scRNA-seq) and spatial transcriptome (ST) data of EC from public databases. Enrichment scores were calculated for EC cell subpopulations using the "AddModuleScore" function and the AUCell package, respectively. Six predictive models were constructed, including logistic regression (LR), Gaussian naive Bayes (GaussianNB), k-nearest neighbor (KNN), support vector machine (SVM), extreme gradient boosting (XGB), and neural network (NK). Subsequently, receiver-operating characteristics with areas under the curves (AUCs) were used to assess the robustness of the predictive model.

RESULT

We classified EC cell coaggregation into six cell clusters, of which the epithelial, fibroblast and endothelial cell clusters had higher estrogen signaling pathway activity. We founded the epithelial cell subtype Epi cluster1, the fibroblast cell subtype Fib cluster3, and the endothelial cell subtype Endo cluster3 all showed early activation levels of estrogen response. Based on EC cell subtypes, estrogen-responsive early genes, and genes encoding Stage I and para-cancer differentially expressed proteins in EC patients, a total of 24 early diagnostic markers were identified. The AUCs values of all six classifiers were higher than 0.95, which indicates that the early diagnostic markers we screened have superior robustness across different classification algorithms.

CONCLUSION

Our study elucidates the potential biological mechanism of EC response to estrogen at single-cell resolution, which provides a new direction for early diagnosis of EC.

Characterization of flavonoids with potent and subtype-selective actions on estrogen receptors alpha and beta

The initial step in estrogen-regulated transcription is the binding of a ligand to its cognate receptors, named estrogen receptors (ERα and ERβ). Phytochemicals present in foods and environment can compete with endogenous hormones to alter physiological responses. We screened 224 flavonoids in our engineered biosensor ERα and ERβ PRL-array cell lines to characterize their activity on several steps of the estrogen signaling pathway. We identified 83 and 96 flavonoids that can activate ERα or ERβ, respectively. While most act on both receptors, many appear to be subtype-selective, including potent flavonoids that activate ER at sub-micromolar concentrations. We employed an orthogonal assay using a transgenic zebrafish in vivo model that validated the estrogenic potential of these compounds. To our knowledge, this is the largest study thus far on flavonoids and the ER pathway, facilitating the identification of a new set of potential endocrine disruptors acting on both ERα and ERβ.

Investigation of the potential effects of estrogen receptor modulators on immune checkpoint molecules

Immune checkpoints regulate the immune system response. Recent studies suggest that flavonoids, known as phytoestrogens, may inhibit the PD-1/PD-L1 axis. We explored the potential of estrogens and 17 Selective Estrogen Receptor Modulators (SERMs) as inhibiting ligands for immune checkpoint proteins (CTLA-4, PD-L1, PD-1, and CD80). Our docking studies revealed strong binding energy values for quinestrol, quercetin, and bazedoxifene, indicating their potential to inhibit PD-1 and CTLA-4. Quercetin and bazedoxifene, known to modulate EGFR and IL-6R alongside estrogen receptors, can influence the immune checkpoint functionality. We discuss the impact of SERMs on PD-1 and CTLA-4, suggesting that these SERMs could have therapeutic effects through immune checkpoint inhibition. This study highlights the potential of SERMs as inhibitory ligands for immune checkpoint proteins, emphasizing the importance of considering PD-1 and CTLA-4 inhibition when evaluating SERMs as therapeutic agents. Our findings open new avenues for cancer immunotherapy by exploring the interaction between various SERMs and immune checkpoint pathways.

Machine learning-assisted high-content imaging analysis of 3D MCF7 microtissues for estrogenic effect prediction

Endocrine-disrupting chemicals (EDCs) pose a significant threat to human well-being and the ecosystem. However, in managing the many thousands of uncharacterized chemical entities, the high-throughput screening of EDCs using relevant biological endpoints remains challenging. Three-dimensional (3D) culture technology enables the development of more physiologically relevant systems in more realistic biochemical microenvironments. The high-content and quantitative imaging techniques enable quantifying endpoints associated with cell morphology, cell-cell interaction, and microtissue organization. In the present study, 3D microtissues formed by MCF-7 breast cancer cells were exposed to the model EDCs estradiol (E2) and propyl pyrazole triol (PPT). A 3D imaging and image analysis pipeline was established to extract quantitative image features from estrogen-exposed microtissues. Moreover, a machine-learning classification model was built using estrogenic-associated differential imaging features. Based on 140 common differential image features found between the E2 and PPT group, the classification model predicted E2 and PPT exposure with AUC-ROC at 0.9528 and 0.9513, respectively. Deep learning-assisted analysis software was developed to characterize microtissue gland lumen formation. The fully automated tool can accurately characterize the number of identified lumens and the total luminal volume of each microtissue. Overall, the current study established an integrated approach by combining non-supervised image feature profiling and supervised luminal volume characterization, which reflected the complexity of functional ER signaling and highlighted a promising conceptual framework for estrogenic EDC risk assessment.

A Novel Metastatic Estrogen Receptor-Expressing Breast Cancer Model with Antiestrogen Responsiveness

Most women diagnosed with breast cancer (BC) have estrogen receptor alpha-positive (ER+) disease. The current mouse models of ER+ BC often rely on exogenous estrogen to encourage metastasis, which modifies the immune system and the function of some tissues like bone. Other studies use genetically modified or immunocompromised mouse strains, which do not accurately replicate the clinical disease. To create a model of antiestrogen responsive BC with spontaneous metastasis, we developed a mouse model of 4T1.2 triple-negative (TN) breast cancer with virally transduced ER expression that metastasizes spontaneously without exogenous estrogen stimulation and is responsive to antiestrogen drugs. Our mouse model exhibited upregulated ER-responsive genes and multi-organ metastasis without exogenous estrogen administration. Additionally, we developed a second TN BC cell line, E0771/bone, to express ER, and while it expressed ER-responsive genes, it lacked spontaneous metastasis to clinically important tissues. Following antiestrogen treatment (tamoxifen, ICI 182,780, or vehicle control), 4T1.2- and E0771/bone-derived tumor volumes and weights were significantly decreased, exemplifying antiestrogen responsivity in both cell lines. This 4T1.2 tumor model, which expresses the estrogen receptor, metastasizes spontaneously, and responds to antiestrogen treatment, will allow for further investigation into the biology and potential treatment of metastasis.

Machine Learning-Assisted High-Content Imaging Analysis of 3D MCF7 Microtissues for Estrogenic Effect Prediction

Endocrine-disrupting chemicals (EDCs) pose a significant threat to human well-being and the ecosystem. However, in managing the many thousands of uncharacterized chemical entities, the high-throughput screening of EDCs using relevant biological endpoints remains challenging. Three-dimensional (3D) culture technology enables the development of more physiologically relevant systems in more realistic biochemical microenvironments. The high-content and quantitative imaging techniques enable quantifying endpoints associated with cell morphology, cell-cell interaction, and microtissue organization. In the present study, 3D microtissues formed by MCF-7 breast cancer cells were exposed to the model EDCs estradiol (E2) and propyl pyrazole triol (PPT). A 3D imaging and image analysis pipeline was established to extract quantitative image features from estrogen-exposed microtissues. Moreover, a machine-learning classification model was built using estrogenic-associated differential imaging features. Based on 140 common differential image features found between the E2 and PPT group, the classification model predicted E2 and PPT exposure with AUC-ROC at 0.9528 and 0.9513, respectively. Deep learning-assisted analysis software was developed to characterize microtissue gland lumen formation. The fully automated tool can accurately characterize the number of identified lumens and the total luminal volume of each microtissue. Overall, the current study established an integrated approach by combining non-supervised image feature profiling and supervised luminal volume characterization, which reflected the complexity of functional ER signaling and highlighted a promising conceptual framework for estrogenic EDC risk assessment.

Broad histone H4 monomethylation marks expressed genes involved in translation

H4K20me1 (histone H4 monomethylated at lysine 20) generally has a broad distribution along genes and has been reported to be associated with expressed and repressed genes. In contrast, H3K4me3 (histone H3 trimethylated at lysine 4) is positioned as a narrow peak at the 5' end of most expressed genes in vertebrate cells. A small population of genes involved in cell identity has H3K4me3 distributed throughout the gene body. In this report, we show that H4K20me1 is associated with expressed genes in estrogen receptor-positive breast cancer MCF7 cells and erythroleukemic K562 cells. Further, we identified the genes with the broadest H4K20me1 domains in these two cell types. The broad H4K20me1 domain marked gene bodies of expressed genes, but not the promoter or enhancer regions. The most significant GO term (biological processes) of these genes was cytoplasmic translation. There was little overlap between the genes marked with the broad H4K20me1 domain and those marked with H3K4me3. H4K20me1 and H3K79me2 distributions along expressed gene bodies were similar, suggesting a relationship between the enzymes catalyzing these histone modifications.

Analyses of Genes Critical to Tumor Survival Reveal Potential 'Supertargets': Focus on Transcription

The identification of mechanisms that underlie the biology of individual tumors is aimed at the development of personalized treatment strategies. Herein, we performed a comprehensive search of genes (termed Supertargets) vital for tumors of particular tissue origin. In so doing, we used the DepMap database portal that encompasses a broad panel of cell lines with individual genes knocked out by CRISPR/Cas9 technology. For each of the 27 tumor types, we revealed the top five genes whose deletion was lethal in the particular case, indicating both known and unknown Supertargets. Most importantly, the majority of Supertargets (41%) were represented by DNA-binding transcription factors. RNAseq data analysis demonstrated that a subset of Supertargets was deregulated in clinical tumor samples but not in the respective non-malignant tissues. These results point to transcriptional mechanisms as key regulators of cell survival in specific tumors. Targeted inactivation of these factors emerges as a straightforward approach to optimize therapeutic regimens.

A New Culture Model for Enhancing Estrogen Responsiveness in HR+ Breast Cancer Cells through Medium Replacement: Presumed Involvement of Autocrine Factors in Estrogen Resistance

Hormone receptor-positive breast cancer (HR+ BC) cells depend on estrogen and its receptor, ER. Due to this dependence, endocrine therapy (ET) such as aromatase inhibitor (AI) treatment is now possible. However, ET resistance (ET-R) occurs frequently and is a priority in HR+ BC research. The effects of estrogen have typically been determined under a special culture condition, i.e., phenol red-free media supplemented with dextran-coated charcoal-stripped fetal bovine serum (CS-FBS). However, CS-FBS has some limitations, such as not being fully defined or ordinary. Therefore, we attempted to find new experimental conditions and related mechanisms to improve cellular estrogen responsiveness based on the standard culture medium supplemented with normal FBS and phenol red. The hypothesis of pleiotropic estrogen effects led to the discovery that T47D cells respond well to estrogen under low cell density and medium replacement. These conditions made ET less effective there. The fact that several BC cell culture supernatants reversed these findings implies that housekeeping autocrine factors regulate estrogen and ET responsiveness. Results reproduced in T47D subclone and MCF-7 cells highlight that these phenomena are general among HR+ BC cells. Our findings offer not only new insights into ET-R but also a new experimental model for future ET-R studies.

A Tumor Microenvironment-Driven Network Regulated by STAT3 and p65 Negatively Controls the Enrichment of Cancer Stem Cells in Human HR+/HER2- Breast Cancer

Hormone receptor-positive and HER2-negative (HR+/HER2-; luminal A) tumors are prevalent in breast cancer. Our past studies demonstrated that "TME Stimulation" (estrogen + TNFα + EGF, representing three arms of the tumor microenvironment, TME) has enriched metastasis-forming cancer stem cells (CSCs) in HR+/HER2- human breast cancer cells. Here, following information obtained by RNAseq analyses of TME-stimulated CSCs and Non-CSCs, we found that TME Stimulation has induced the activation of S727-STAT3, Y705-STAT3, STAT1 and p65. Upon TME Stimulation, stattic (STAT3 inhibitor) usage demonstrated that Y705-STAT3 activation negatively controlled CSC enrichment and epithelial-to-mesenchymal transition (EMT) traits, while inducing CXCL8 (IL-8) and PD-L1 expression. However, STAT3 knock-down (siSTAT3) had no effect on these functions; in terms of CSC enrichment, p65 had down-regulatory roles that compensated for the loss of an entire STAT3 protein. Y705-STAT3 and p65 acted additively in reducing CSC enrichment, and Y705A-STAT3 variant + sip65 has enriched chemo-resistant CSCs. Clinical data analyses revealed an inverse correlation between Y705-STAT3 + p65 phosphorylation and CSC signature in luminal A patients, and connection to improved disease course. Overall, we find regulatory roles for Y705-STAT3 and p65 in TME-stimulated HR+/HER2- tumors, with the ability to limit CSC enrichment. These findings raise concerns about using inhibitors of STAT3 and p65 as therapeutic strategies in the clinic.

Synthesis and evaluation of novel thiazole moiety-containing compounds as antibreast cancer agents

Progesterone receptor (PR) agonists represent pivotal agents in trapping breast cancer cells through modulating the expression of estrogen receptor (ER). The present investigation aimed to test three novel thiadiazole-containing compounds as antibreast cancer agents. Test compounds were synthesized and abbreviated as 2-{(5-amino-1, 3, 4-thiazole-2-yl) amino}-4-(4-chloro-3-methylphenyl)-4-oxobutanoic acid (TAB), 4-(4-chloro-3-methylphenyl)-4-oxo 2-[(5-sulfanyl-1, 3, 4-thiadiazol-2-yl)] sulfanyl-butanoic acid (TSB) and 4-(4-chloro-3-methylphenyl)-4-oxo 2-[(5-sulfanyl-1, 3, 4-thiadiazol-2-yl)] sulphonyl-botanic acid (TSSB). Molecular docking of the test compounds with PR was simulated. The IC 50 of the test compounds against both Michigan cancer foundation-7 (MCF-7) and HepG2 was determined. Ehrlich solid tumor (EST) was grown in the right thigh of the mouse as a model of breast cancer in vivo . Hepatic and renal functions, besides hematological indicators, were tested. The expression of ER and ER genes in EST was determined using real-time PCR. Immunohistochemistry was carried out for the determination of Ki-67 and cyclin-dependent kinase 1 (CDK-1) in EST. Our results revealed that TAB, TSB and TSSB reduced Ehrlich tumor size by 48, 64 and 52%, respectively, compared to the EST control group. The docking scores achieved by TAB, TSB and TSSB with PR were -9.29, -9.41 and -9.24 kcal/mol, respectively. The most potent compound against MCF-7 was TSB, with an IC 50 of 3.9 g/ml. The administration of test compounds suppressed Ki-67 and CDK1, and the best effect was observed at TSB. Our findings suggest that test compounds are applicants to be antibreast cancer agents.

Cell State Transitions and Phenotypic Heterogeneity in Luminal Breast Cancer Implicating MicroRNAs as Potential Regulators

Luminal breast cancer subtypes respond poorly to endocrine and trastuzumab treatments due to cellular heterogeneity arising from the phenotype transitions, accounted for mainly by the loss of receptor expression. The origins of basal-like and human epidermal growth factor receptor 2 (HER2)-overexpressing breast cancer subtypes have been attributed to genetic and protein modifications in stem-like cells and luminal progenitor cell populations, respectively. The post-transcriptional regulation of protein expression is known to be influenced by microRNAs (miRNAs) that are deemed to be master regulators of several biological processes in breast tumorigenesis and progression. Our objective was to identify the fractions of luminal breast cancer cells that share stemness potentials and marker profiles and to elucidate the molecular regulatory mechanism that drives transitions between fractions, leading to receptor discordances. Established breast cancer cell lines of all prominent subtypes were screened for the expression of putative cancer stem cell (CSC) markers and drug transporter proteins using a side population (SP) assay. Flow-cytometry-sorted fractions of luminal cancer cells implanted in immunocompromised mice generated a pre-clinical estrogen receptor alpha (ERα+) animal model with multiple tumorigenic fractions displaying differential expression of drug transporters and hormone receptors. Despite an abundance of estrogen receptor 1 (ESR1) gene transcripts, few fractions transitioned to the triple-negative breast cancer (TNBC) phenotype with a visible loss of ER protein expression and a distinct microRNA expression profile that is reportedly enriched in breast CSCs. The translation of this study has the potential to provide novel therapeutic miRNA-based targets to counter the dreaded subtype transitions and the failure of antihormonal therapies in the luminal breast cancer subtype.

Esr1 but Not CYP19A1 Overexpression in Mammary Epithelial Cells during Reproductive Senescence Induces Pregnancy-Like Proliferative Mammary Disease Responsive to Anti-Hormonals

Molecular-level analyses of breast carcinogenesis benefit from vivo disease models. Estrogen receptor 1 (Esr1) and cytochrome P450 family 19 subfamily A member 1 (CYP19A1) overexpression targeted to mammary epithelial cells in genetically engineered mouse models induces largely similar rates of proliferative mammary disease in prereproductive senescent mice. Herein, with natural reproductive senescence, Esr1 overexpression compared with CYP19A1 overexpression resulted in significantly higher rates of preneoplasia and cancer. Before reproductive senescence, Esr1, but not CYP19A1, overexpressing mice are tamoxifen resistant. However, during reproductive senescence, Esr1 mice exhibited responsiveness. Both Esr1 and CYP19A1 are responsive to letrozole before and after reproductive senescence. Gene Set Enrichment Analyses of RNA-sequencing data sets showed that higher disease rates in Esr1 mice were accompanied by significantly higher expression of cell proliferation genes, including members of prognostic platforms for women with early-stage hormone receptor-positive disease. Tamoxifen and letrozole exposure induced down-regulation of these genes and resolved differences between the two models. Both Esr1 and CYP19A1 overexpression induced abnormal developmental patterns of pregnancy-like gene expression. This resolved with progression through reproductive senescence in CYP19A1 mice, but was more persistent in Esr1 mice, resolving only with tamoxifen and letrozole exposure. In summary, genetically engineered mouse models of Esr1 and CYP19A1 overexpression revealed a diversion of disease processes resulting from the two distinct molecular pathophysiological mammary gland-targeted intrusions into estrogen signaling during reproductive senescence.

Understanding the Phytoestrogen Genistein Actions on Breast Cancer: Insights on Estrogen Receptor Equivalence, Pleiotropic Essence and Emerging Paradigms in Bioavailability Modulation

Prevalent as a major phenolic ingredient of soy and soy products, genistein is recognized as an eminent phytoestrogen owing to its interacting ability with estrogen receptors (ERs). The metabolic conversion of plant-derived genistin to genistein by gut microbes and intestinal enzymes enhances its absorption at intestinal pH of ~7.5-7.8. Genistein interferes in breast cancer (BC) development via pleiotropic actions on cell proliferation, survival, angiogenesis, and apoptosis. Though multiple investigations have demonstrated genistein intake-driven reduced BC risk, similar efficacy has not been replicated in clinical trials. Furthermore, multiple studies have structurally and functionally equated genistein extents with 17-β-estradiol (E2), the most available physiological estrogen in females, culminating in aggravated BC growth. Of note, both genistein and E2 function via interacting with ERs (ERα and ERβ). However, although E2 shows almost equal affinity towards both ERα and ERβ, genistein shows more affinity towards ERβ than ERα. Our cautious literature survey revealed typical intake mode, ER expression pattern and the ratio of ERα and ERβ, transactivators/ regulators of ERα and ERβ expression and activities, patient age, and menopausal status as decisive factors affecting genistein BC activities. Of further interest are the mechanisms by which genistein inhibits triple-negative breast cancers (TNBCs), which lack ERs, progesterone receptors (PRs), and human epidermal growth factor receptors (HER2). Herein, we attempt to understand the dosage-specific genistein actions in BC cells and patients with an insight into its better response via derivative development, nanocarrier-assisted, and combinatorial delivery with chemotherapeutic drugs.

Overexpression of Estrogen Receptor α in Mammary Glands of Aging Mice Is Associated with a Proliferative Risk Signature and Generation of Estrogen Receptor α-Positive Mammary Adenocarcinomas

Age is a risk factor for human estrogen receptor-positive breast cancer, with highest prevalence following menopause. While transcriptome risk profiling is available for human breast cancers, it is not yet developed for prognostication for primary or secondary breast cancer development utilizing at-risk breast tissue. Both estrogen receptor α (ER) and aromatase overexpression have been linked to human breast cancer. Herein, conditional genetically engineered mouse models of estrogen receptor 1 (Esr1) and cytochrome P450 family 19 subfamily A member 1 (CYP19A1) were used to show that induction of Esr1 overexpression just before or with reproductive senescence and maintained through age 30 months resulted in significantly higher prevalence of estrogen receptor-positive adenocarcinomas than CYP19A1 overexpression. All adenocarcinomas tested showed high percentages of ER+ cells. Mammary cancer development was preceded by a persistent proliferative transcriptome risk signature initiated within 1 week of transgene induction that showed parallels to the Prosigna/Prediction Analysis of Microarray 50 human prognostic signature for early-stage human ER+ breast cancer. CYP19A1 mice also developed ER+ mammary cancers, but histology was more divided between adenocarcinoma and adenosquamous, with one ER- adenocarcinoma. Results demonstrate that, like humans, generation of ER+ adenocarcinoma in mice was facilitated by aging mice past the age of reproductive senescence. Esr1 overexpression was associated with a proliferative estrogen pathway-linked signature that preceded appearance of ER+ mammary adenocarcinomas.

14-3-3τ drives estrogen receptor loss via ERα36 induction and GATA3 inhibition in breast cancer

About one-fourth of recurrent estrogen receptor-positive (ER+) breast cancers lose ER expression, leading to endocrine therapy failure. However, the mechanisms underlying ER loss remain to be fully explored. We now show that 14-3-3τ, up-regulated in ∼60% of breast cancer, drives the conversion of ER+ to ER- and epithelial-to-mesenchymal transition (EMT). We identify ERα36, an isoform of ERα66, as a downstream effector of 14-3-3τ. Overexpression of 14-3-3τ induces ERα36 in xenografts and tumor spheroids. The regulation is further supported by a positive correlation between ERα36 and 14-3-3τ expression in human breast cancers. ERα36 can antagonize ERα66 and inhibit ERα66 expression. Isoform-specific depletion of ERα36 blocks the ER conversion and EMT induced by 14-3-3τ overexpression in tumor spheroids, thus establishing ERα36 as a key mediator in 14-3-3τ-driven ER loss and EMT. ERα36 promoter is repressed by GATA3, which can be phosphorylated by AKT at consensus binding sites for 14-3-3. Upon AKT activation, 14-3-3τ binds phosphorylated GATA3 and facilitates the degradation of GATA3 causing GATA3 to lose transcriptional control over its target genes ERα66 and ERα36. We also demonstrate a role for the collaboration between 14-3-3τ and AKT in ERα36 induction and endocrine therapy resistance by three-dimensional spheroid and tamoxifen treatment models in MCF7 and T47D ER+ breast cancer cells. Thus, the 14-3-3τ-ERα36 regulation provides a previously unrecognized mechanism for ER loss and endocrine therapy failure.

Evaluating anticancer properties of Withaferin A—a potent phytochemical

Withaferin A is a C28 steroidal lactone derived from the plant Withania somnifera, commonly known as Ashwagandha. Withaferin A has received great attention for its anticancer properties noted in cancer cells of various origins. Extracts of Withania somnifera have been used in traditional Ayurvedic and Unani Indian medicine for their various pharmacological benefits. In recent years, Withania somnifera or Ashwagandha extract has become popularized as a health supplement marketed for its stress and anxiety reducing effects. Withaferin A is one of the most studied withanolides extracted from Withania somnifera that has gained great attention for its anticancer, anti-inflammatory, metabolic, and pro-apoptotic effects. Extensive in vivo and in vitro studies have depicted Withaferin A’s interactions with key role players in cancerous activity of the cell to exert its pro-apoptotic effects. Withaferin A interactions with NF-κB, STAT, Hsp90, ER-α, p53, and TGF-β have noted inhibition in cancer cell proliferation and cell cycle arrest in G2/M stage, ultimately leading to apoptosis or cell death. This review highlights pro-apoptotic properties of Withaferin A including generation of reactive oxidative species, Par-4 activation, endoplasmic reticulum stress (ER) induction, and p53 activation. Analysis of Withaferin A’s involvement in various oncogenic pathways leading to malignant neoplasm and its pharmacologic activity in conjunction with various cancer drugs provides promising evidence in therapeutic potential of Withaferin A as a cancer treatment.

MOF negatively regulates estrogen receptor α signaling via CUL4B-mediated protein degradation in breast cancer

Estrogen receptor α (ERα) is the dominant tumorigenesis driver in breast cancer (BC), and ERα-positive BC (ERα+ BC) accounts for more than two-thirds of BC cases. MOF (males absent on the first) is a highly conserved histone acetyltransferase that acetylates lysine 16 of histone H4 (H4K16) and several non-histone proteins. Unbalanced expression of MOF has been identified, and high MOF expression predicted a favorable prognosis in BC. However, the association of MOF with ERα and the regulatory mechanisms of MOF in ERα signaling remain elusive. Our study revealed that the expression of MOF is negatively correlated with that of ERα in BC. In ERα+ BC cells, MOF overexpression downregulated the protein abundance of ERα in both cytoplasm and nucleus, thus attenuating ERα-mediated transactivation as well as cellular proliferation and in vivo tumorigenicity of BC cells. MOF promoted ERα protein degradation through CUL4B-mediated ubiquitin–proteasome pathway and induced HSP90 hyperacetylation that led to the loss of chaperone protection of HSP90 to ERα. We also revealed that suppression of MOF restored ERα expression and increased the sensitivity of ERα-negative BC cells to tamoxifen treatment. These results provide a new insight into the tumor-suppressive role of MOF in BC via negatively regulating ERα action, suggesting that MOF might be a potential therapeutic target for BC.

Female melanoma and estrogen receptors expression: an immunohistochemical pilot study

Epidemiologic data highlight sex differences in melanoma outcome. A putative role of sex hormones is still under investigation. Very few laboratory investigations have focused on the level of expression of estrogen receptors in melanoma. We evaluated the presence of estrogen receptors alpha (ERα) and beta (ERβ) in melanoma specimens from female patients with a previous history of breast carcinoma (BC). Moreover, another group of female patients undergoing ovarian stimulation (OS) were also compared to two control groups matched for age and melanoma staging. The study was performed at the IRCCS Policlinico di Sant'Orsola Hospital's Melanoma Unit from January 2017 to December 2019. The nuclear and cytoplasmatic immunohistochemical staining was evaluated and scored by the percentage of stained tumour cells: 0 (≤20%), 1 (21-50%) or 2 (≥50%). Twenty-eight specimens were analysed. ERβ nuclear presence was detected in all cases of women with a history of breast cancer. Cytoplasmatic ERβ was clearly expressed with a score of 2 in seven cases. In the respective control group, nuclear and cytoplasmatic ERβ expression was much lower. A cytoplasmatic ERα positivity was also detected in almost all cases. In the second group of women who experienced ovarian stimulation for Assisted Reproductive Technology (ART), a lower abundance of nuclear ERs was detected. Conversely, cytoplasmatic ERβ and α expression ranged widely. Melanoma of women treated with anti-estrogen therapy is generally more prone to express estrogen receptors compared with women of the same age and CM staging but also compared with women in fertile age with and without a history of OS.

The key role of differential broad H3K4me3 and H3K4ac domains in breast cancer

Epigenetic processes are radically altered in cancer cells. The altered epigenetic events may include histone post-translational modifications (PTMs), DNA modifications, and/or alterations in the levels and modifications of chromatin modifying enzymes and chromatin remodelers. With changes in gene programming are changes in the genomic distribution of histone PTMs. Genes that are poised or transcriptionally active have histone H3 trimethylated lysine 4 (H3K4me3) located at the transcription start site and at the 5' end of the gene. However, a small population of genes that are involved in cell identity or cancer cell properties have a broad H3K4me3 domain that may stretch for several kilobases through the coding region of the gene. Each cancer cell type appears to mark a select set of cancer-related genes in this manner. In this study, we determined which genes were differentially marked with the broad H3K4me3 domain in normal-like (MCF10A), luminal-type breast cancer (MCF7), and triple-negative breast cancer (MDA-MB-231) cells. We also determined whether histone H3 acetylated lysine 4 (H3K4ac), also a mark of active promoters, had a broad domain configuration. We applied two peak callers (MACS2, PeakRanger) to analyze H3K4me3 and H3K4ac chromatin immunoprecipitation sequencing (ChIP-Seq) data. We identified genes with a broad H3K4me3 and/or H3K4ac domain specific to each cell line and show that the genes have critical roles in the breast cancer subtypes. Furthermore, we show that H3K4ac marks enhancers. The identified genes with the broad H3K4me3/H3K4ac domain have been targeted in clinical and pre-clinical studies including therapeutic treatments of breast cancer.

Visualization of the protein-protein interactions of hormone receptors in hormone-dependent cancer research

In hormone-dependent cancers, the activation of hormone receptors promotes the progression of cancer cells. Many proteins exert their functions through protein-protein interactions (PPIs). Moreover, in such cancers, hormone-hormone receptor binding, receptor dimerization, and cofactor mobilization PPIs occur primarily in hormone receptors, including estrogen, progesterone, glucocorticoid, androgen, and mineralocorticoid receptors. The visualization of hormone signaling has been primarily reported by immunohistochemistry using specific antibodies; however, the visualization of PPIs is expected to improve our understanding of hormone signaling and disease pathogenesis. Visualization techniques for PPIs include Förster resonance energy transfer (FRET) and bimolecular fluorescence complementation analysis; however, these techniques require the insertion of probes in the cells for PPI detection. Proximity ligation assay (PLA) is a method that could be used for both formalin-fixed paraffin-embedded (FFPE) tissue as well as immunostaining. It can also visualize hormone receptor localization and post-translational modifications of hormone receptors. This review summarizes the results of recent studies on visualization techniques for PPIs with hormone receptors; these techniques include FRET and PLA. In addition, super-resolution microscopy has been recently reported to be applicable to their visualization in both FFPE tissues and living cells. Super-resolution microscopy in conjunction with PLA and FRET could also contribute to the visualization of PPIs and subsequently provide a better understanding of the pathogenesis of hormone-dependent cancers in the future.