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Orphan nuclear estrogen‐related receptor γ (ERRγ) has been recognized as a potential therapeutic target for cancer, inflammation and metabolic disorder. The ERRγ contains a regulatory AF2 helical tail linked C‐terminally to its ligand‐binding domain (LBD), which is a self‐binding peptide (SBP) and serves as molecular switch to dynamically regulate the receptor alternation between active and inactive states by binding to and unbinding from the AF2‐binding site on ERRγ LBD surface, respectively. Traditional ERRγ modulators are all small‐molecule chemical ligands that can be classified into agonists and inverse agonists in terms of their action mechanism; the agonists stabilize the AF2 in ABS site with an agonist conformation, while the inverse agonists lock the AF2 out of the site to largely abolish ERRγ transcriptional activity. Here, a class of ERRγ peptidic antagonists was described to compete with native AF2 for the ABS site, thus blocking the active state of AF2 binding to ERRγ LBD domain. Self‐inhibitory peptide was derived from the SBP‐covering AF2 region and we expected it can rebind potently to the ABS site by reducing its intrinsic disorder and entropy cost upon the rebinding. Hydrocarbon stapling was employed to do so, which employed an all‐hydrocarbon bridge across the [i, i + 4]‐anchor residue pair in the N‐terminal, middle or C‐terminal region of the self‐inhibitory peptide. As might be expected, it is revealed that the stapled peptides are good binders of ERRγ LBD domain and can effectively compete with the native AF2 helical tail for ERRγ ABS site, which exhibit a basically similar binding mode with AF2 to the site and form diverse noncovalent interactions with the site, thus conferring stability and specificity to the domain–peptide complexes. [ABSTRACT FROM AUTHOR]

Background The cutoff of <1% positive cells to define estrogen receptor (ER) negativity by immunohistochemistry (IHC) in breast cancer (BC) is debated. We explored the tumor immune microenvironment and gene-expression profile of patients with early-stage HER2-negative ER-low (ER 1%-9%) BC, comparing them to ER-negative (ER <1%) and ER-intermediate (ER 10%-50%) tumors. Methods Among 921 patients with early-stage I-III, ER ≤50%, HER2-negative BCs, tumors were classified as ER-negative (n  =   712), ER-low (n  =   128), or ER-intermediate (n  =   81). Tumor-infiltrating lymphocytes (TILs) were evaluated. CD8+, FOXP3+ cells, and PD-L1 status were assessed by IHC and quantified by digital pathology. We analyzed 776 BC-related genes in 116 samples. All tests were 2-sided at a <.05 significance level. Results ER-low and ER-negative tumors exhibited similar median TILs, statistically significantly higher than ER-intermediate tumors. CD8/FOXP3 ratio and PD-L1 positivity rates were comparable between ER-low and ER-negative groups. These groups showed similar enrichment in basal-like intrinsic subtypes and comparable expression of immune-related genes. ER-low and ER-intermediate tumors showed significant transcriptomic differences. High TILs (≥30%) were associated with improved relapse-free survival (RFS) in ER-low (5-year RFS 78.6% vs 66.2%, log-rank P  =  .033, hazard ratio [HR] 0.37 [95% CI = 0.15 to 0.96]) and ER-negative patients (5-year RFS 85.2% vs 69.8%, log-rank P  <  .001, HR 0.41 [95% CI = 0.27 to 0.60]). Conclusions ER-low and ER-negative tumors are similar biological and molecular entities, supporting their comparable clinical outcomes and treatment responses, including to immunotherapy. Our findings contribute to the growing evidence calling for a reevaluation of ER-positive BC classification and management, aligning ER-low and ER-negative tumors more closely. [ABSTRACT FROM AUTHOR]

Background Breast cancer consists of distinct molecular subtypes. Studies have reported differences in risk factor associations with breast cancer subtypes, especially by tumor estrogen receptor (ER) status, but their consistency across racial and ethnic populations has not been comprehensively evaluated. Methods We conducted a qualitative, scoping literature review using the Preferred Reporting Items for Systematic Reviews and Meta-analysis, extension for Scoping Reviews to investigate consistencies in associations between 18 breast cancer risk factors (reproductive, anthropometric, lifestyle, and medical history) and risk of ER-defined subtypes in women who self-identify as Asian, Black or African American, Hispanic or Latina, or White. We reviewed publications between January 1, 1990 and July 1, 2022. Etiologic heterogeneity evidence (convincing, suggestive, none, or inconclusive) was determined by expert consensus. Results Publications per risk factor ranged from 14 (benign breast disease history) to 66 (parity). Publications were most abundant for White women, followed by Asian, Black or African American, and Hispanic or Latina women. Etiologic heterogeneity evidence was strongest for parity, followed by age at first birth, postmenopausal body mass index, oral contraceptive use, and estrogen-only and combined menopausal hormone therapy. Evidence was limited for other risk factors. Findings were consistent across racial and ethnic groups, although the strength of evidence varied. Conclusion The literature supports etiologic heterogeneity by ER for some established risk factors that are consistent across race and ethnicity groups. However, in non-White populations evidence is limited. Larger, more comparable data in diverse populations are needed to better characterize breast cancer etiologic heterogeneity. [ABSTRACT FROM AUTHOR]

Several chemotherapeutics against breast cancer are constrained by their adverse effects and chemoresistance. The development of novel chemotherapeutics to target metastatic breast cancer can bring effective clinical outcomes. Many breast cancer patients present with tumors that are positive for estrogen receptors (ERs), highlighting the importance of targeting the ER pathway in this particular subtype. Although selective estrogen receptor modulators (SERMs) are commonly used, their side effects and resistance issues necessitate the development of new ER‐targeting agents. In this study, we report that a newly synthesized compound, TTP‐5, a hybrid of pyrimidine, triazole, and tert‐butyl‐piperazine‐carboxylate, effectively binds to estrogen receptor alpha (ERα) and suppresses breast cancer cell growth. We assessed the impact of TTP‐5 on cell proliferation using MTT and colony formation assays and evaluated its effect on cell motility through wound healing and invasion assays. We further explored the mechanism of action of this novel compound by detecting protein expression changes using Western blotting. Molecular docking was used to confirm the interaction of TTP‐5 with ERα. The results indicated that TTP‐5 significantly reduced the proliferation of MCF‐7 cells by blocking the ERα signaling pathway. Conversely, although it did not influence the growth of MDA‐MB‐231 cells, TTP‐5 hindered their motility by modulating the expression of proteins associated with epithelial–mesenchymal transition (EMT), possibly via the Wnt/β‐catenin pathway. [ABSTRACT FROM AUTHOR]

PURPOSE: Trastuzumab deruxtecan is a new treatment option for patients with advanced human epidermal growth factor receptor 2 (HER2)–low breast cancer (BC). Although HER2-low status has been characterized in early and advanced BC, it has yet to be fully characterized in brain metastases (BrM). METHODS: Patients who underwent surgery for BC BrM at Sunnybrook Health Sciences Centre and for whom HER2 status was available on resected BrM were studied. Estrogen receptor, progesterone receptor, and HER2 status were assessed on the basis of ASCO/College of American Pathologists (CAP) guidelines. HER2-zero was defined as immunohistochemistry (IHC) 0; HER2-low was defined as IHC 1+ or IHC 2+ with fluorescence in situ hybridization (FISH)–negative status. HER2-positive (HER2+) was defined as IHC 3+ or IHC 2+ with positive FISH. Clinicopathologic features were recorded. We also assessed the prognostic association between extent of HER2 expression and (1) brain-specific progression-free survival (bsPFS), as well as (2) overall survival (OS). RESULTS: In this retrospective cohort of 102 patients with resected BC BrM, 53% (n = 54) were HER2+, 29.4% (n = 30) were HER2-low, and 17.6% (n = 18) had HER2-zero status. Among BrM that were triple-negative on the basis of ASCO/CAP guidelines, 63.6% (n = 14/22) were reclassified as being HER2-low. Sixty percent (n = 15/25) of BrM that were hormone receptor–positive/HER2-negative (HR+/HER2–) were reclassified as being HER2-low. In total, 51 patients had matched primary breast and BrM tissue available; results of HER2 status when categorized as HER2-zero, HER2-low, and HER2+ were concordant in 82.3% (n = 42/51) of cases (Cohen's kappa, 0.58; P =.07). There was no significant association between HER2-zero, HER2-low, and HER2+ status in BrM and either bsPFS or OS. CONCLUSION: Among patients with surgically resected BrM, a high proportion of those with metastatic triple-negative BC and HR+/HER2– disease have HER2-low BrM with potential to benefit from HER2-targeted therapy. HER2 status of breast cancer brain metastases—a target among patients whose extracranial disease is HER2-0. [ABSTRACT FROM AUTHOR]

Background: CDK4/6 inhibitors (CDK4/6i) have shown promising results in the treatment of hormone receptor‐positive (HR+) metastatic breast cancer (MBC) when combined with endocrine therapy (ET). It is crucial to evaluate the actual effectiveness and safety of CDK4/6i in clinical practice, as well as to analyze the factors that can predict their outcomes. Methods: Patients with HR+ MBC who received CDK4/6i‐based therapy between May 2016 and May 2023 at Hunan Cancer Hospital were evaluated for progression‐free survival (PFS). Adverse reactions were assessed based on the National Cancer Institute Common Toxicity Criteria (version 5.0). Results: This study included 344 patients, with a median PFS (mPFS) of 12.8 months (range: 10.4–15.2 months). After adjustment, Cox multivariate regression analysis revealed that visceral metastasis (specifically liver and brain metastases), Eastern Cooperative Oncology Group Performance Status (ECOG PS) ≥ 1, estrogen receptor ≤ 80%, progesterone receptor ≤ 10%, Ki‐67 > 30%, and treatment in later stages were significant factors associated with reduced PFS. Based on this, we created a prognostic nomogram and validated its performance, obtaining a C‐index of 0.714 (95% confidence interval: 0.640–0.787) as well as reliable calibration and clinical impact. The mPFS of CDK4/6i rechallenge was 7.7 months; for patients who initially discontinued CDK4/6i for reasons other than disease progression, CDK4/6i rechallenge still provided a mPFS of 11.4 months. The tolerability and safety of combining CDK4/6is with ET were manageable. Adverse events led to treatment discontinuation in 3.8% of patients. Neutropenia (29.1%), leukopenia (13.7%), and anemia (4.1%) were the primary grade 3/4 adverse reactions. Conclusions: This real‐world study highlights the ample efficacy and reasonable safety of combined CDK4/6i and ET in patients with HR+ MBC. Individualized treatment decisions and ongoing safety monitoring are important to optimize the therapeutic benefit of CDK4/6i treatment. [ABSTRACT FROM AUTHOR]

Objective: To analyze differences between screen-detected and non-screen-detected invasive breast cancers by tumour characteristics and age at diagnosis in the nationwide population-based mammography screening program in Sweden. Methods: Data were retrieved from the National Quality Register for Breast Cancer for 2008–2017. Logistic regression analysis was used to estimate the likelihood for a tumour to be screen-detected by tumour characteristics and age group at diagnosis. Results: In total there were 51,429 invasive breast cancers in the target age group for mammography screening of 40–74 years. Likelihood of screen detection decreased with larger tumour size, lymph node metastases, higher histological grade and distant metastasis. Odds ratios (ORs) for negative oestrogen (ER) and progesterone (PgR) were 0.41 and 0.57; for positive HER2, 0.62; for Ki-67 high versus low, 0.49. Molecular sub-types had OR of 0.56, 0.40 and 0.28, respectively, for luminal B-like, HER2-positive and triple negative versus luminal A-like. Adjusting for tumour size (T), lymph node status (N), age, year and county at diagnosis slightly elevated the ORs. Statistically significant interactions between tumour characteristics and age were found (p < 0.05) except for ER and PgR. The age group 40–49 deviated most from the other age groups. Conclusions: Our study demonstrates that screen-detected invasive breast cancers had more favourable tumour characteristics than non-screen-detected after adjusting for age, year and county of diagnosis, and even after adjusting for T and N. The trend towards favourable tumour characteristics was less pronounced in the 40–49 age group compared to the other age groups, except for ER and PgR. [ABSTRACT FROM AUTHOR]

Background: In recent years, the number of patients with myocardial ischaemia is rising year by year in China. Objectives: The study uses network pharmacology to predict targets and pathways of action of Apocynum venetum L. (AVL) for the treatment of myocardial ischemia (MI). Materials and Methods: The essential active compounds of AVL were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. The objective of selecting the target genes was achieved through the utilization of GeneCards and Swiss Target Prediction resources. The pool of MI-related targets was obtained from DisGeNET, Online Mendelian Inheritance in Man and the Therapeutic Target Database. The protein-protein interaction network was meticulously constructed using the STRING algorithm. The gene ontology (GO) analysis of AVL-MI targets was performed at Metascape. In addition, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was conducted. Furthermore, molecular docking analysis was conducted to study the interactions of AVL components with estrogen receptor 1 (ESR1), heat shock protein 90 alpha (HSP90A), protein kinase B (Akt1), tyrosine kinase Src (SRC) and phosphatidylinositol 3-kinase (PI3K). Finally, cellular experiments were performed to validate the mechanism of action of AVL. Results: The molecular target analysis revealed that AVL has the potential to interact with a total of 147 biomolecules. This comprises ESR1, HSP90A, epidermal growth factor receptor, protein kinase B alpha (Akt1), SRC and PI3K. As indicated by GO and KEGG analyses, AVL's inhibitory potential against MI may be due to its action on the PI3K-Akt signalling pathway. Furthermore, docking studies conducted to assess the interactions between AVL components and their targets (ESR1, HSP90A, Akt1, SRC and PI3K) confirmed that they have robust binding affinities. Cell experiments also showed that AVL treatment significantly reduced oxidative stress indexes (p < 0.05). Additionally, the expression levels of Akt1 and PI3K proteins were significantly higher in the AVL group compared to the MI group (p < 0.05). Conclusion: AVL therapy exhibits the potential to alleviate the symptoms of MI by mitigating oxidative stress and by orchestrating the expression of proteins such as PI3K and Akt1. [ABSTRACT FROM AUTHOR]

Background: Inconclusive epidemiological evidence suggests that diet quality indices may influence breast cancer (BC) risk; however, the evidence does not consider the molecular expression of this cancer. Purpose: We aimed to evaluate if diet quality is related to molecular subtypes of BC, in women residing in Northern Mexico. Methods: This is a secondary analysis of 1,045 incident cases and 1,030 population controls from a previous case-control study, conducted between 2007 and 2011 in Northern Mexico. Information about the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor 2 (HER2) was obtained from medical records to classify BC as luminal (ER + and/or PR+/HER2–), HER2+ (ER+/–and/or PR+/–/HER2+), or triple-negative (TN) (ER– and PR–/HER2–) cases. Food consumption was assessed with a semi-quantitative food frequency questionnaire. Diet quality was evaluated using the Mexican Diet Quality Index (MxDQI) and the Mexican Alternative Healthy Eating Index (MxAHEI). We used unconditional logistic regression models to estimate the association between Mexican diet quality indices and BC molecular subtypes. Results: The MxDQI was related to lower odds of BC (ORT3vsT1=0.24; 95%CI: 0.18, 0.31). Similarly, MxAHEI was negatively associated with BC (ORT3vsT1=0.43; 95%CI: 0.34, 0.54). The associations of both indices remained significant in the ER + and ER- tumors, and in the BC luminal and HER2 + molecular subtypes, except in the TN molecular subtype for MxAHEI, which was not statistically significant. Conclusions: Our findings showed that MxDQI and MxAHEI were negatively associated with BC risk regardless of its molecular subtype. [ABSTRACT FROM AUTHOR]

Tamoxifen is the most used agent to treat estrogen receptor-positive (ER+) breast cancer (BC). While it decreases the risk of cancer recurrence by 50%, many patients develop resistance to this treatment, culminating in highly aggressive disease. Tamoxifen resistance comes from the repression of ER transcriptional activity that switches the cancer cells to proliferation via nonhormonal signaling pathways. Here, we evaluate a potential strategy to overcome tamoxifen resistance by focused ultrasound (FUS), a noninvasive approach for the mechanical excitation of cancer cells. Resistant and nonresistant ER+ BC cells and xenografts from patients with ER+ BC were treated with tamoxifen, FUS or their combination. The apoptosis, proliferation rate, gene expression and activity of estrogen receptor, and morphological changes were measured in treated cells and tissues. FUS caused the mechanical disruption of tamoxifen-resistant BC cells that in turn led to the upregulation of ERα-encoding gene expression and long-term re-sensitization of the cells to tamoxifen. Patient-derived xenografts treated with Tamoxifen and FUS demonstrated a significant reduction in tumor viability and proliferation and a strong structural damage to tumor cells and extracellular matrix. FUS can improve ER+ BC treatment by re-sensitizing the cancer cells to tamoxifen. [ABSTRACT FROM AUTHOR]

The sexual receptivity of female mice, shown as lordosis response, is mainly regulated by estradiol action on estrogen receptor alpha (ERα) and beta (ERβ), depending on the day of the estrous cycle. Previous studies revealed that ERα in the ventromedial nucleus of the hypothalamus (VMH) plays an essential role in the induction of lordosis on the day of estrus (Day 1). However, the mechanisms of the transition to nonreceptive states on the day after estrus (Day 2) are not completely understood. In the present study, we investigated the possible role of ERβ, which is highly expressed in the dorsal raphe nucleus (DRN), in lordosis expression. We found that ERβ-Cre female mice, which were ovariectomized and primed with estradiol and progesterone to mimic the estrous cycle, showed high levels of lordosis on Day 2 when ERβ-expressing DRN (DRN-ERβ+ ) neuronal activity was chemogenetically suppressed. This finding suggests that excitation of DRN-ERβ+ neurons is necessary for the decline of lordosis on Day 2. Fiber photometry recordings during female–male behavioral interactions revealed that DRN-ERβ+ neuronal activation in response to male intromission was significantly more prolonged on Day 2 compared with Day 1. Chemogenetic overstimulation of DRN-ERβ+ neurons induced c-Fos expression in brain areas known to be inhibitory for lordosis expression, even though they did not express anterogradely labeled fibers of DRN-ERβ+ cells. These findings collectively suggest that DRN-ERβ+ neuronal excitation serves as an inhibitory modulator and is responsible for the decline in receptivity during nonestrus phases. [ABSTRACT FROM AUTHOR]

The arcuate nucleus of the hypothalamus (ARC) is central in the neuronal regulation of fertility and reproduction through translating gonadal steroid hormone cues into the GnRH signaling pathway in the brain. Evidence suggests that circulating gonadal steroids play an important role in modulating female reproduction via kisspeptin and γ‐aminobutyric acid (GABA) neurons in the ARC in both development and adulthood. However, the temporal onset of these ARC neurons' sensitivity to gonadal steroids is unknown. Using RNAscope® in situ hybridization, we localized androgen receptor (Ar), estrogen receptor alpha (Esr1), and progesterone receptor (Pgr) expression in ARC kisspeptin or GABA neurons of female mice at postnatal day (P)4, P8, P12, P20, and P60. A probe that binds to kiss1 mRNA or vGat mRNA was used to produce signal in kisspeptin or GABA neurons, respectively. In adult, we identified that the vast majority of kisspeptin neurons coexpressed Esr1 (95%) and Pgr (93%), while a smaller proportion coexpressed Ar (66%). Similar proportions of Ar‐ or Esr1‐positive kisspeptin neurons were seen from P4, suggesting that kisspeptin neurons develop adult‐like sensitivity to androgen and estrogen in early postnatal life. In contrast, the proportion of Pgr‐positive kisspeptin cells in early life was significantly lower than in adulthood, suggesting that progesterone sensitivity develops over time in the ARC kisspeptin population. ARC GABA neurons also colocalized with Ar (70%), Esr1 (64%), or Pgr (85%) in adulthood. GABA neurons continuously expressed Esr1 or Pgr from the postnatal stages to adulthood, while the proportion of Ar‐positive GABA neurons gradually increased from P4 (24%) to P20 (59%). These results suggest that while ARC GABA neurons can respond to circulating estrogen and progesterone from early postnatal ages, this same population may become more sensitive to androgens during later postnatal life. Our findings identified the expression patterns of Ar, Esr1, and Pgr by ARC kisspeptin and GABA neurons during early postnatal life. These data provide the understanding for the hormone sensitivity of these populations during early postnatal life, the critical time for the formation and regulation of female reproductive physiology.Esr1 (95%) and Pgr (93%), while a smaller proportion coexpressed Ar (66%). Similar proportions of Ar‐ or Esr1‐positive kisspeptin neurons were seen from P4, suggesting that kisspeptin neurons develop adult‐like sensitivity to androgen and estrogen in early postnatal life. In contrast, the proportion of Pgr‐positive kisspeptin cells in early life was significantly lower than in adulthood, suggesting that progesterone sensitivity develops over time in the ARC kisspeptin population. ARC GABA neurons also colocalized with Ar (70%), Esr1 (64%), or Pgr (85%) in adulthood. GABA neurons continuously expressed Esr1 or Pgr from the postnatal stages to adulthood, while the proportion of Ar‐positive GABA neurons gradually increased from P4 (24%) to P20 (59%). These results suggest that while ARC GABA neurons can respond to circulating estrogen and progesterone from early postnatal ages, this same population may become more sensitive to androgens during later postnatal life. Our findings identified the expression patterns of Ar, Esr1, and Pgr by ARC kisspeptin and GABA neurons during early postnatal life. These data provide the understanding for the hormone sensitivity of these populations during early postnatal life, the critical time for the formation and regulation of female reproductive physiology. [ABSTRACT FROM AUTHOR]

Introduction: Breast cancer (BC) presents diverse malignancies with varying biological and clinical behaviors, driven by an interplay between cancer cells and tumor microenvironment. Deciphering these interactions is crucial for personalized diagnostics and treatment. This study explores the prognostic impact of tumor proliferation and immune response patterns, assessed by computational pathology indicators, on breast cancer-specific survival (BCSS) models in estrogen receptor-positive HER2-negative (ER+HER2–) and triple-negative BC (TNBC) patients. Materials and methods: Whole-slide images of tumor surgical excision samples from 252 ER+HER2– patients and 63 TNBC patients stained for estrogen and progesterone receptors, Ki67, HER2, and CD8 were analyzed. Digital image analysis (DIA) was performed for tumor tissue segmentation and quantification of immunohistochemistry (IHC) markers; the DIA outputs were subsampled by hexagonal grids to assess the spatial distributions of Ki67-positive tumor cells and CD8-positive (CD8+) cell infiltrates, expressed as Ki67-entropy and CD8-immunogradient indicators, respectively. Prognostic models for BCSS were generated using multivariable Cox regression analysis, integrating clinicopathological and computational IHC indicators. Results: In the ER+HER2– BC, multivariable Cox regression revealed that high CD8+ density within the tumor interface zone (IZ) (HR: 0.26, p = 0.0056), low immunodrop indicator of CD8+ density (HR: 2.93, p = 0.0051), and low Ki67-entropy (HR: 5.95, p = 0.0.0061) were independent predictors of better BCSS, while lymph node involvement predicted worse BCSS (HR: 3.30, p = 0.0013). In TNBC, increased CD8+ density in the IZ stroma (HR: 0.19, p = 0.0119) and Ki67-entropy (HR: 3.31, p = 0.0250) were independent predictors of worse BCSS. Combining these independent indicators enhanced prognostic stratification in both BC subtypes. Conclusions: Computational biomarkers, representing spatial properties of the tumor proliferation and immune cell infiltrates, provided independent prognostic information beyond conventional IHC markers in BC. Integrating Ki67-entropy and CD8-immunogradient indicators into prognostic models can improve patient stratification with regard to BCSS. [ABSTRACT FROM AUTHOR]

Background: Zearalenone (ZEN), a secondary metabolite of Fusarium fungi, is one of the most common mycotoxins in global food supplies such as cereal grains and processed food. ZEN and its metabolites are commonly referred to as mycoestrogens, due to their ability to directly bind nuclear estrogen receptors α (ER-α) and β (ER-β). Zeranol, a synthetic mycoestrogen, is administered to U.S. cattle as a growth promoter. Despite widespread human exposure and ample evidence of adverse reproductive impacts in vitro and in vivo, there has been little epidemiological research on the health impacts of ZEN exposure during pregnancy. The objective of our study was to examine associations between ZEN and gestational weight gain (GWG). Methods: Urine samples were collected in each trimester from pregnant participants in the UPSIDE cohort (n = 286, Rochester, NY, USA). High performance liquid chromatography and high-resolution tandem mass spectrometry were used to quantify concentrations of ZEN as well as ∑mycoestrogens (composite sum of ZEN metabolites; ng/ml). Maternal weights at clinical visits were abstracted from medical records. We fitted longitudinal models of specific-gravity adjusted, log-transformed ZEN and ∑mycoestrogens in relation to total GWG (kilograms) and GWG rate (kilograms/week). We additionally examined risk of excessive GWG (in relation to Institute of Medicine guidelines) and considered effect modification by fetal sex. Results: ZEN and ∑mycoestrogens were detected in > 93% and > 95% of samples, respectively. Mycoestrogen concentrations were positively associated with total GWG (ZEN β:0.50 kg; 95%CI: 0.13, 0.87) and GWG rate (ZEN β:0.20 kg/week; 95%CI: 0.01, 0.03). Associations tended to be stronger among participants carrying male (versus female) fetuses and results were robust to adjustment for diet. Conclusions: Mycoestrogen exposure during pregnancy may contribute to greater GWG. Future research is needed to understand potential influences on downstream maternal and offspring health. [ABSTRACT FROM AUTHOR]

Estrogen hormone dependence accounts for a major cause in the incidence of women breast cancer. ER-α is the major ER subtype in the mammary epithelium and plays a critical role in breast cancer progression. Tamoxifen (1-[4-(2-dimethylaminoethoxy)-phenyl]-1,2- diphenylbut-1(Z)-ene) is a nonsteroidal antiestrogen prodrug which formed pharmacologically active metabolite, 4-hydroxytamoxifen, largely used for endocrine therapy in pre and postmenopausal women with ER-positive breast cancer. However, long term treatment with tamoxifen results in acquires resistance and high probability of disease recurring, hence the need for an alternative breast cancer drug. In silico approach was used to investigate the inhibitory activities of a novel dimeric flavanonol OC251FR2 (3,3'-oxybis(5,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-one)-3,3'-oxybis(5,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-one) isolated from the chloroform fraction of Garcinia kola, against alpha Estrogen receptor (ER-α); a major contributor to the growth of breast cancer. The docking was conducted using Maestro module 13.5 to obtained the ER-α PDB (5W9C) from NCBI. The OC251FR2 was docked using ligprep module with 4-hydroxytamoxifen being the reference drug. The qikpro was used to investigate the drug-likeliness while ligand docking and induced fit docking were used to investigate the interaction and binding affinity of the ligands with the active sites of the PDB. The result shows that the isolated OC251FR2 with docking score value of −6.214 interact more with amino acids in the active sites via H-bond, pi-pi interaction than the reference drug 4-Hydroxytamoxifen with a docking score value of −5.289. The drug-likeliness determined by qikpro shows that OC251FR2 violated three of the Lipinski rules of 5, and also have percent oral absorption. The quantum mechanics values show that OC251FR2 have similar properties comparable to the reference drug 4-hydroxytamoxifen. Hence, can serve as potential lead against alpha Estrogen receptor (ER-α). [ABSTRACT FROM AUTHOR]

Background: Assessment of breast cancer (BC) risk generally relies on mammography, family history, reproductive history, and genotyping of major mutations. However, assessing the impact of environmental factors, such as lifestyle, health-related behavior, or external exposures, is still challenging. DNA methylation (DNAm), capturing both genetic and environmental effects, presents a promising opportunity. Previous studies have identified associations and predicted the risk of BC using DNAm in blood; however, these studies did not distinguish between genetic and environmental contributions to these DNAm sites. In this study, associations between DNAm and BC are assessed using paired twin models, which control for shared genetic and environmental effects, allowing testing for associations between DNAm and non-shared environmental exposures and behavior. Results: Pre-diagnosis blood samples of 32 monozygotic (MZ) and 76 dizygotic (DZ) female twin pairs discordant for BC were collected at the mean age of 56.0 years, with the mean age at diagnosis 66.8 years and censoring 75.2 years. We identified 212 CpGs (p < 6.4*10–8) and 15 DMRs associated with BC risk across all pairs using paired Cox proportional hazard models. All but one of the BC risks associated with CpGs were hypomethylated, and 198/212 CpGs had their DNAm associated with BC risk independent of genetic effects. According to previous literature, at least five of the top CpGs were related to estrogen signaling. Following a comprehensive two-sample Mendelian randomization analysis, we found evidence supporting a dual causal impact of DNAm at cg20145695 (gene body of NXN, rs480351) with increased risk for estrogen receptor positive BC and decreased risk for estrogen receptor negative BC. Conclusion: While causal effects of DNAm on BC risk are rare, most of the identified CpGs associated with the risk of BC appear to be independent of genetic effects. This suggests that DNAm could serve as a valuable biomarker for environmental risk factors for BC, and may offer potential benefits as a complementary tool to current risk assessment procedures. [ABSTRACT FROM AUTHOR]

Simple Summary: The emerging era of digital pathology and Artificial Intelligence provides a better tool for the assessment of multiple morphological features extracted from scanned histological images. In this study, we aimed to develop an AI-based algorithm to measure and quantify features that represent intra-tumor heterogeneity in breast cancer and present them as an index. In our study, 162 features were extracted and quantified from whole slide images. These features showed a significant association with patient outcomes. When an overall heterogeneity score was used, it stratified luminal breast cancer patients into low- and high-risk groups, which can help in personalized therapy. Intra-tumor heterogeneity (ITH) is a fundamental characteristic of breast cancer (BC), influencing tumor progression, prognosis, and therapeutic responses. However, the complexity of ITH in BC makes its accurate characterization challenging. This study leverages deep learning (DL) techniques to comprehensively evaluate ITH in early-stage luminal BC and provide a nuanced understanding of its impact on tumor behavior and patient outcomes. A large cohort (n = 2561) of early-stage luminal BC was evaluated using whole slide images (WSIs) of hematoxylin and eosin-stained slides of excision specimens. Morphological features of both the tumor and stromal components were meticulously annotated by a panel of pathologists in a subset of cases. A DL model was applied to develop an algorithm to assess the degree of heterogeneity of various morphological features per individual case utilizing defined patches. The results of extracted features were used to generate an overall heterogeneity score that was correlated with the clinicopathological features and outcome. Overall, 162 features were quantified and a significant positive correlation between these features was identified. Specifically, there was a significant association between a high degree of intra-tumor heterogeneity and larger tumor size, poorly differentiated tumors, highly proliferative tumors, tumors of no special type (NST), and those with low estrogen receptor (ER) expression. When all features are considered in combination, a high overall heterogeneity score was significantly associated with parameters characteristic of aggressive tumor behavior, and it was an independent predictor of poor patient outcome. In conclusion, DL models can be used to accurately decipher the complexity of ITH and provide extra information for outcome prediction. [ABSTRACT FROM AUTHOR]

Simple Summary: Invasive Lobular Carcinoma (ILC) of the breast is the second most common type of breast cancer. However, it is characterized by diverse morphological and clinical features. Most importantly, some subtypes are more aggressive and their responses to treatment may vary. These features are due to distinct genetic mutations that influence the behavior of these tumors. Given the importance of this cancer subtype, this article aims to provide an overview of the genetic mutations responsible for metastasis, drug resistance and prognosis, while also highlighting gaps in the current literature. The latest advances in treatment are also a main point of discussion and one with the most prospects for new research. Invasive Lobular Carcinoma (ILC) presents a distinct subtype of breast cancer, representing 10–15% of cases, with unique clinical and molecular features. Characterized by a non-cohesive, single-file invasion pattern, ILC is typically estrogen receptor (ER)- and progesterone receptor (PR)-positive but human epidermal growth factor receptor 2 (HER2)-negative. Despite favorable prognostic features, its highly metastatic nature and predilection for atypical sites contribute to lower long-term survival compared to invasive breast carcinoma of no special type (NST). ILC's genetic landscape includes mutations in various genes (CDH1, BRCA2, ATM, etc.) and signaling pathways that impact treatment responses, especially in endocrine treatment. Furthermore, the diverse ILC subtypes complicate its management. Current challenges in chemotherapy, along with the targeted therapies, are also discussed. The present article aims to comprehensively review the recent literature, focusing on the pathological and molecular aspects of ILC, including associated genetic mutations influencing disease progression and drug resistance. [ABSTRACT FROM AUTHOR]

Primary osteoporosis is closely linked to hormone deficiency, which disrupts the balance of bone remodeling. It affects postmenopausal women but also significantly impacts older men. Estrogen can promote the production of osteoprotegerin, a decoy receptor for RANKL, thereby preventing RANKL from activating osteoclasts. Furthermore, estrogen promotes osteoblast survival and function via activation of the Wnt signaling pathway. Likewise, androgens play a critical role in bone metabolism, primarily through their conversion to estrogen in men. Estrogen deficiency accelerates bone resorption through a rise in pro-inflammatory cytokines (IL-1, IL-6, TNF-α) and RANKL, which promote osteoclastogenesis. In the classic genomic pathway, estrogen binds to estrogen receptors in the cytoplasm, forming a complex that migrates to the nucleus and binds to estrogen response elements on DNA, regulating gene transcription. Androgens can be defined as high-affinity ligands for the androgen receptor; their combination can serve as a ligand-inducible transcription factor. Hormone replacement therapy has shown promise but comes with associated risks and side effects. In contrast, the non-genomic pathway involves rapid signaling cascades initiated at the cell membrane, influencing cellular functions without directly altering gene expression. Therefore, the ligand-independent actions and rapid signaling pathways of estrogen and androgen receptors can be harnessed to develop new drugs that provide bone protection without the side effects of traditional hormone therapies. To manage primary osteoporosis, other pharmacological treatments (bisphosphonates, teriparatide, RANKL inhibitors, sclerostin inhibitors, SERMs, and calcitonin salmon) can ameliorate osteoporosis and improve BMD via actions on different pathways. Non-pharmacological treatments include nutritional support and exercise, as well as the dietary intake of antioxidants and natural products. The current study reviews the processes of bone remodeling, hormone actions, hormone receptor status, and therapeutic targets of primary osteoporosis. However, many detailed cellular and molecular mechanisms underlying primary osteoporosis seem complicated and unexplored and warrant further investigation. [ABSTRACT FROM AUTHOR]

Background: Endocrine therapy (ET) has improved the clinical outcomes of Estrogen receptor alpha-positive (ERɑ +) breast cancer (BC) patients, even though resistance to ET remains a clinical issue. Mutations in the hormone-binding domain of ERɑ represent an acquired intrinsic mechanism of ET resistance. However, the latter also depends on the multiple functional interactions between BC cells and the tumor microenvironment (TME). Here, we investigated how the most common Y537S-ERɑ mutation may influence the behavior of fibroblasts, the most prominent component of the TME. Methods: We conducted coculture experiments with normal human foreskin fibroblasts BJ1-hTERT (NFs), cancer-associated fibroblasts (CAFs), isolated from human BC specimens, and Y537S CRISPR-expressing MCF-7 BC cells (MCF-7YS). Mass spectrometry (MS) and Metacore analyses were performed to investigate how the functional interactions between BC cells/fibroblasts may affect their proteomic profile. The impact of fibroblasts on BC tumor growth and metastatic potential was evaluated in nude mice. Results: Mutant BC conditioned medium (CM) affected the morphology/proliferation/migration of both NFs and CAFs. 198 deregulated proteins signed the proteomic similarity profile of NFs exposed to the YS-CM and CAFs. Among the upregulated proteins, Yes-associated protein 1 (YAP1) was the main central hub in the direct interaction network. Increased YAP1 protein expression and activity were confirmed in NFs treated with MCF-7YS-CM. However, YAP1 activation appears to crosstalk with the insulin growth factor-1 receptor (IGF-1R). Higher amount of IGF-1 were noticed in the MCF-7YS-CM cells compared to the MCF-7P, and IGF-1 immunodepletion reversed the enhanced YAP1 expression and activity. Mutant cells upon exposure to the NF- and CAF-CM exhibited an enhanced proliferation/growth/migration/invasion compared to the MCF-7P. MCF-7YS cells when implanted with CAFs showed an early relative increased tumor volume compared to YS alone. No changes were observed when MCF-7P cells were co-implanted with CAFs. Compared with that in MCF-7P cells, the metastatic burden of MCF-7YS cells was intrinsically greater, and this effect was augmented upon treatment with NF-CM and further increased with CAF-CM. Conclusions: YS mutant BC cells induced the conversion of fibroblasts into CAFs, via YAP, which represent a potential therapeutic target which interrupt the functional interactions between mutant cells/TME and to be implemented in the novel therapeutic strategy of a subset of metastatic BC patients carrying the frequent Y537S mutations. [ABSTRACT FROM AUTHOR]

Breast cancer (BC) is the leading cause of death among cancer patients worldwide. In 2020, almost 12% of all cancers were diagnosed with BC. Therefore, it is important to search for new potential markers of cancer progression that could be helpful in cancer diagnostics and successful anti-cancer therapies. In this study, we investigated the potential role of the lysine acetyltransferases KAT6A and KAT6B in the outcome of patients with invasive breast carcinoma. The expression profiles of KAT6A/B in 495 cases of IDC and 38 cases of mastopathy (FBD) were examined by immunohistochemistry. KAT6A/B expression was also determined in the breast cancer cell lines MCF-7, BT-474, SK-BR-3, T47D, MDA-MB-231, and MDA-MB-231/BO2, as well as in the human epithelial mammary gland cell line hTERT-HME1 – ME16C, both at the mRNA and protein level. Statistical analysis of the results showed that the nuclear expression of KAT6A/B correlates with the estrogen receptor status: KAT6ANUC vs. ER r = 0.2373 and KAT6BNUC vs. ER r = 0.1496. Statistical analysis clearly showed that KAT6A cytoplasmic and nuclear expression levels were significantly higher in IDC samples than in FBD samples (IRS 5.297 ± 2.884 vs. 2.004 ± 1.072, p < 0.0001; IRS 5.133 ± 4.221 vs. 0.1665 ± 0.4024, p < 0.0001, respectively). Moreover, we noticed strong correlations between ER and PR status and the nuclear expression of KAT6A and KAT6B (nucKAT6A vs. ER, p = 0.0048; nucKAT6A vs. PR p = 0.0416; nucKAT6B vs. ER p = 0.0306; nucKAT6B vs. PR p = 0.0213). Significantly higher KAT6A and KAT6B expression was found in the ER-positive cell lines T-47D and BT-474, whereas significantly lower expression was observed in the triple-negative cell lines MDA-MB-231 and MDA-MB-231/BO2. The outcomes of small interfering RNA (siRNA)-mediated suppression of KAT6A/B genes revealed that within estrogen receptor (ER) positive and negative cell lines, MCF-7 and MDA-MB-231, attenuation of KAT6A led to concurrent attenuation of KAT6A, whereas suppression of KAT6B resulted in simultaneous attenuation of KAT6A. Furthermore, inhibition of KAT6A/B genes resulted in a reduction in estrogen receptor (ER) mRNA and protein expression levels in MCF-7 and MDA-MMB-231 cell lines. Based on our findings, the lysine acetyltransferases KAT6A and KAT6B may be involved in the progression of invasive ductal breast cancer. Further research on other types of cancer may show that KAT6A and KAT6B could serve as diagnostic and prognostic markers for these types of malignancies. [ABSTRACT FROM AUTHOR]

Transcription factors (TFs) regulate gene expression by binding with varying strengths to DNA via their DNA-binding domain. Additionally, some TFs also interact with RNA, which modulates transcription factor binding to chromatin. However, whether RNA-mediated TF binding results in differential transcriptional outcomes remains unknown. In this study, we demonstrate that estrogen receptor α (ERα), a ligand-activated TF, interacts with RNA in a ligand-dependent manner. Defects in RNA binding lead to genome-wide loss of ERα recruitment, particularly at weaker ERα-motifs. Furthermore, ERα mobility in the nucleus increases in the absence of its RNA-binding capacity. Unexpectedly, this increased mobility coincides with robust polymerase loading and transcription of ERα-regulated genes that harbor low-strength motifs. However, highly stable binding of ERα on chromatin negatively impacts ligand-dependent transcription. Collectively, our results suggest that RNA interactions spatially confine ERα on low-affinity sites to fine-tune gene transcription. Synopsis: RNA modulates transcription factor binding to DNA, though the subsequent effect on transcription remains unclear. The study demonstrates that the binding of transcription factor ERα is stabilized at weaker motifs through its interaction with RNA, which fine-tunes ligand-induced transcription of estrogen-responsive genes. ERα interacts with a variety of coding and non-coding RNAs in ligand-dependent manner. RNA assists in the stabilization of ERα on weaker estrogen-response elements. Lack of RNA binding allows dynamic ERα interactions with chromatin. Dynamic binding of ERα is more conducive to transcription compared to stable binding. RNA interactions regulate the dynamics of transcription factor binding to consensus DNA motifs, dictating transcriptional output [ABSTRACT FROM AUTHOR]

Hormone receptor positive (HR+) breast cancer, defined by expression of estrogen receptor (ER) and/or progesterone receptor (PR), is the most commonly diagnosed type of breast cancer. PR alters the transcriptional landscape to support tumor growth in concert with, or independent of, ER. Understanding the mechanisms regulating PR function is critical to developing new strategies to treat HR+ breast cancer. Olinked β-N-acetylglucosamine (O-GlcNAc) is a posttranslational modification responsible for nutrient sensing that modulates protein function. Although PR is heavily posttranslationally modified, through both phosphorylation and O-GlcNAcylation, specific sites of O-GlcNAcylation on PR and how they regulate PR action have not been investigated. Using established PR-expressing breast cancer cell lines, we mapped several sites of O-GlcNAcylation on PR. RNA-sequencing after PR O-GlcNAc site mutagenesis revealed site-specific O-GlcNAcylation of PR is critical for ligand-independent suppression of interferon signaling, a regulatory function of PR in breast cancer. Furthermore, OGlcNAcylation of PR enhances PR-driven tumor growth in vivo. Herein, we have delineated one contributing mechanism to PR function in breast cancer that impacts tumor growth and provided additional insight into the mechanism through which PR attenuates interferon signaling. [ABSTRACT FROM AUTHOR]

Background/Objectives: Raloxifene (RLF) is a therapeutic option for invasive breast cancer because it blocks estrogen receptors selectively. Low solubility, limited targeting, first-pass action, and poor absorption are some of the challenges that make RLF in oral form less effective. This study aimed to create an intra-tumoral in situ pH-responsive formulation of RLF–invasome (IPHRLI) for breast cancer treatment, with the goals of sustaining RLF release, minimizing adverse effects, and enhancing solubility, bioavailability, targeting, and effectiveness. Methods: Numerous RLF–invasome formulations were optimized using design expert software (version 12.0.6.0, StatEase Inc., Minneapolis, MN, USA). Integrating an optimal formulation with an amalgam of chitosan and glyceryl monooleate resulted in the IPHRLI formulation. In vivo testing of the IPHRLI formulation was conducted utilizing the Ehrlich cancer model. Results: Requirements for an optimum RLF–invasome formulation were met by a mixture of phospholipids (2.46%), ethanol (2.84%), and cineole (0.5%). The IPHRLI formulation substantially sustained its release by 75.41% after 8 h relative to free RLF. The bioavailability of intra-tumoral IPHRLI was substantially raised by 4.07-fold compared to oral free RLF. Histopathological and tumor volume analyses of intra-tumoral IPHRLI confirmed its efficacy and targeting effect. Conclusions: the intra-tumoral administration of the IPHRLI formulation may provide a potential strategy for breast cancer management. [ABSTRACT FROM AUTHOR]

Estrogen is a steroid hormone that plays a key role in regulating many physiological processes, such as follicle activation and development and oocyte maturation in mammals. Ca2+ is crucial in oogenesis, oocyte maturation, ovulation, and fertilization. However, the mechanism by which estrogen regulates Ca2+ during oocyte maturation in mice has not been reported. This study revealed that Ca2+ levels in oocytes significantly increase during the 4–12 h period in vitro. Oocytes treated with 0.1 µM estrogen and 1 µM G1, a G-protein-coupled estrogen receptor (GPER) agonist, showed significantly increased Ca2+ levels, while treatment with 1 µM G15, an antagonist of GPER, significantly decreased Ca2+ levels. Notably, estrogen regulates Ca2+ in oocytes through the GPER pathway and promotes the expression of the Ca2+-producing protein EPAC1. In addition, estrogen alleviates the inhibitory effect of the Ca2+ chelator BAPTA-AM during oocyte maturation by promoting Ca2+ production. Furthermore, estrogen can promote the expression of the mitochondrial generation-associated protein SIRT1 through the GPER pathway, alleviate mitochondrial oxidative damage caused by BAPTA-AM, and restore the mitochondrial membrane potential level. Collectively, this study demonstrates that estrogen can regulate Ca2+ through the GPER-EPAC1 pathway and promote the expression of SIRT1, which promotes oocyte mitochondrial function during oocyte maturation. [ABSTRACT FROM AUTHOR]

Simple Summary: Breast cancer is the leading cause of cancer death in women, with risk factors including environmental radiation exposure and hormones. This study examined the expression of genes associated with cell motility necessary for cancer progression in cells of varying malignancy exposed to radiation and estrogen. The expression of these genes was also compared with patient data provided by other researchers. The results indicated that these genes showed increased expression in response to radiation alone or in combination with estrogen. Additionally, in patients, the expression of most of these genes was found to be higher in normal tissues adjacent to the tumor ones. The estrogen receptor alpha (ESR1) and the estrogen receptor beta (ESR2) genes, which are significant for patient characterization and treatment, were used to carry out correlations. The analysis of the patient data revealed a low correlation between the genes related to motility and ESR1 expression, whereas a positive correlation was observed between the genes in this study and ESR2 expression. Furthermore, patients with high expression levels of the microtubule-associated protein 1B gene or tubulin alpha-1A gene exhibited a decreased survival rate. These findings suggest that there may be potential for exploring new therapeutic strategies based on the association between patients' expression of hormone receptors and genes associated with cell motility. Breast cancer is a major global health concern as it is the primary cause of cancer death for women. Environmental radiation exposure and endogenous factors such as hormones increase breast cancer risk, and its development and spread depend on cell motility and migration. The expression of genes associated with cell motility, such as ADAM12, CYR61, FLRT2, SLIT2, VNN1, MYLK, MAP1B, and TUBA1A, was analyzed in an experimental breast cancer model induced by radiation and estrogen. The results showed that TUBA1A, SLIT2, MAP1B, MYLK, and ADAM12 gene expression increased in the irradiated Alpha3 cell line but not in the control or the malignant Tumor2 cell line. Bioinformatic analysis indicated that FLERT2, SLIT2, VNN1, MAP1B, MYLK, and TUBA1A gene expressions were found to be higher in normal tissue than in tumor tissue of breast cancer patients. However, ADAM12 and CYR61 expressions were found to be higher in tumors than in normal tissues, and they had a negative correlation with ESR1 gene expression. Concerning ESR2 gene expression, there was a negative correlation with CYR61, but there was a positive correlation with FLRT2, MYLK, MAP1B, and VNN1. Finally, a decreased survival rate was observed in patients exhibiting high expression levels of TUBA1A and MAP1B. These genes also showed a negative ER status, an important parameter for endocrine therapy. The genes related to motility were affected by ionizing radiation, confirming its role in the initiation process of breast carcinogenesis. In conclusion, the relationship between the patient's expression of hormone receptors and genes associated with cell motility presents a novel prospect for exploring therapeutic strategies. [ABSTRACT FROM AUTHOR]

Problem: What is the effect of SR‐16234 (SR), a selective estrogen receptor (ER) modulator, on human endometriotic stromal cells (ESCs)? Method of Study: Endometriotic tissues were obtained from 21 patients undergoing laparoscopic surgery for ovarian endometriomas (OEs). Normal eutopic endometrium during the luteal phase was obtained from 18 patients without endometriosis. ESCs isolated from OEs and normal eutopic endometrial stromal cells (NESCs) were cultured with SR and subsequently exposed to tumor necrosis factor (TNF)‐α. After 48 h of incubation, the effect of SR on cell proliferation was evaluated by the WST‐8 assay. The gene expressions of inflammatory and pain‐related factors, including interleukin (IL)‐6, IL‐8, cyclooxygenase (COX)‐2, transient receptor potential vanilloid (TRPV)1, ESR1, and ESR2, were evaluated by real‐time RT‐PCR. The phosphorylation of Inhibitor κBα (IκBα), extracellular signal‐regulated kinase (ERK)1/2, and Protein Kinase B (AKT) were evaluated by western blot analysis. ILs, prostaglandin (PG) E2, and intranuclear p65 syntheses were assessed by ELISA. Results: SR treatment repressed TNF‐α‐induced proliferation by 20% in ESCs but not NESCs. SR also reduced IL‐6, IL‐8, COX‐2, TRPV1, ESR1, and ESR2 mRNA expressions and ILs protein, and PGE2 synthesis in ESCs, whereas in NESCs, only TRPV1 mRNA expression was decreased. SR suppressed TNF‐α‐induced phosphorylated IκBα levels by approximately 50%, and intranuclear p65 protein was reduced by 30% compared to addition of only TNF‐α in ESCs. However, SR did not affect the phosphorylation of AKT and ERK1/2. Conclusions: SR appears to be a potential therapeutic agent for endometriosis by suppressing inflammatory and pain‐related factor expressions by inhibiting the nuclear factor‐kappa B pathway. [ABSTRACT FROM AUTHOR]

Neuromedin S (NMS) plays key roles in reproductive regulation, while its function and mechanism in follicular development remain unclear. The current study aims to investigate the specific role and mechanisms of NMS and its receptors in regulating the proliferation and steroidogenesis of ovarian granulosa cells (GCs). Phenotypically, a certain concentration of NMS addition promoted the proliferation and estrogen production of goat GCs, accompanied by an increase in the G1/S cell population and upregulation of the expression levels of cyclin D1, cyclin dependent kinase 6, steroidogenic acute regulatory protein, cytochrome P450, family 11, subfamily A, polypeptide 1, 3beta‐hydroxysteroid dehydrogenase, and cytochrome P450, family 11, subfamily A, polypeptide 1, while the effects of NMS treatment were effectively hindered by knockdown of neuromedin U receptor type 2 (NMUR2). Mechanistically, activation of NMUR2 with NMS maintained endoplasmic reticulum (ER) calcium (Ca2+) homeostasis by triggering the PLCG1‐IP3R pathway, which helped preserve ER morphology, sustained an appropriate level of endoplasmic reticulum unfolded protein response (UPRer), and suppressed the nuclear translocation of activating transcription factor 4. Moreover, NMS maintained intracellular Ca2+ homeostasis to activate the calmodulin 1‐large tumor suppressor kinase 1 pathway, ultimately orchestrating the regulation of goat GC proliferation and estrogen production through the Yes1 associated transcriptional regulator‐ATF4‐c‐Jun pathway. Crucially, the effects of NMS were mitigated by concurrent knockdown of the NMUR2 gene. Collectively, these data suggest that activation of NMUR2 by NMS enhances cell proliferation and estrogen production in goat GCs through modulating the ER and intracellular Ca2+ homeostasis, leading to activation of the YAP1‐ATF4‐c‐Jun pathway. These findings offer valuable insights into the regulatory mechanisms involved in follicular growth and development, providing a novel perspective for future research. [ABSTRACT FROM AUTHOR]

1,2,3,4,6-penta-O-galloyl-β-D-glucose (PGG) is the main phenolic active ingredient in Paeoniae Radix Alba, which is commonly used for the treatment of osteoporosis (OP). PGG is a potent natural antioxidant, and its effects on OP remain unknown. This study aimed to investigate the effects of PGG on promoting bone formation and explore its estrogen receptor (ER)-related mechanisms. A hydrogen peroxide-induced osteoblast apoptosis model was established in MC3T3-E1 cells. The effects of PGG were assessed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, flow cytometry, alkaline phosphatase (ALP) staining, RT-qPCR, and Western blot methods. Furthermore, a prednisolone-induced zebrafish OP model was employed to study the effects in vivo. ER inhibitors and molecular docking methods were used further to investigate the interactions between PGG and ERs. The results showed that PGG significantly enhanced cell viability and decreased cell apoptosis by restoring mitochondrial function, attenuating reactive oxygen species levels, decreasing the mitochondrial membrane potential, and enhancing ATP production. PGG enhanced ALP expression and activity and elevated osteogenic differentiation. PGG also promoted bone formation in the zebrafish model, and these effects were reversed by ICI182780. These results provide evidence that the effects of PGG in alleviating apoptosis and promoting bone formation may depend on ERs. As such, PGG is considered a valuable candidate for treating OP. [ABSTRACT FROM AUTHOR]

Pericytes (PCs) contribute to brain capillary/BBB integrity and PC migration is a hallmark for brain capillary leakage following pro-inflammatory insults. Estradiol promotes endothelial barrier integrity by inhibiting tumor necrosis factor-alpha (TNF-α)-induced PC migration. However, the underlying mechanisms remain unclear. Since micro-RNAs (miRs) regulate BBB integrity and increases in miR638 and TNF-α occur in pathological events associated with capillary leakage, we hypothesize that TNF-α mediates its capillary disruptive actions via miR638 and that estradiol blocks these actions. Using quantitative reverse transcription PCR, we first assessed the modulatory effects of TNF-α on miR638. The treatment of PCs with TNF-α significantly induced miR638. Moreover, transfection with miR638 mimic induced PC migration, whereas inhibitory miR638 (anti-miR) abrogated the pro-migratory actions of TNF-α, suggesting that TNF-α stimulates PC migration via miR638. At a molecular level, the pro-migratory effects of miR638 involved the phosphorylation of ERK1/2 but not Akt. Interestingly, estradiol downregulated the constitutive and TNF-α-stimulated expression of miR638 and inhibited the TNF-α-induced migration of PCs. In PCs treated with estrogen receptor (ER) ER-α, ER-β, and GPR30 agonists, a significant downregulation in miR638 expression was solely observed in response to DPN, an ER-β agonist. DPN inhibited the pro-migratory effects of TNF-α but not miR638. Additionally, the ectopic expression of miR638 prevented the inhibitory effects of DPN on TNF-α-induced PC migration, suggesting that interference in miR638 formation plays a key role in mediating the inhibitory actions of estradiol/DPN. In conclusion, these findings provide the first evidence that estradiol inhibits TNF-α-induced PC migration by specifically downregulating miR638 via ER-β and may protect the neurovascular unit during injury/stroke via this mechanism. [ABSTRACT FROM AUTHOR]

Background: As a component of the nucleosome remodeling and deacetylating (NuRD) complex, metastasis‐associated protein 1 (MTA1) has been reported to be abundant in male reproductive system and might participate in spermatogenesis and sperm maturation, whereas the precise functional role of MTA1 in these processes is still undetermined. Objective: To investigate the effect and potential function of MTA1 in male fertility. Materials and methods: Mta1 knockout mice (Mta1−/−) were employed to detect their reproductive phenotype. The pH value of Mta1−/− epididymal luminal fluid was measured, and the potential mechanism of MTA1 involved in regulating luminal acidification was detected in vivo and in vitro. A vasectomy model with abnormal pH of epididymal lumen was established to further detect the effect of MTA1 on epididymal luminal microenvironment. Results: Mta1−/− mice were fertile without any detectable defects in spermatogenesis or sperm motility while the deficiency of MTA1 could acidify the initial segment of epididymis to a certain extent. MTA1 could interact with estrogen receptor alpha (ERα) and inhibit the transcription of ERα target gene, hydrogen exchanger 3 (NHE3), and ultimately affect the epididymal luminal milieu. After vasectomy, the Mta1−/− mice presented a more acidic epididymal lumen which was closer to the normal state compared to the wild‐type model. Discussion and conclusion: MTA1 is dispensable for male fertility in mice, but plays a potentially important function in regulating luminal acidification of the epididymis. [ABSTRACT FROM AUTHOR]

The regulatory role of estrogen receptor beta (ERβ) and the JNK signaling pathway in the effect of high-dose boron on rat splenic lymphocytes has been examined by measuring proliferation, apoptosis, and immune function. The results showed that, compared with the control group, the addition of high-dose boron (40 mmol/L) reduced the proportion of CD3+, CD4+, and CD8+ T lymphocytes, the concentrations of IgG, IL-2, IFN-γ, and IL-4, the proliferation rate of splenic lymphocytes, and the expression levels of PCNA and Bcl-2 mRNA (P < 0.01 or P < 0.05), and increased the apoptosis rate of splenic lymphocytes, caspase-3, and BAX mRNA expression levels (P < 0.01 or P < 0.05). After specific blocking of ERβ, the addition of high-dose boron could not reduce the proportion of CD8+ T lymphocytes, the concentrations of IgG and cytokines IL-2, IFN-γ, and IL-4, the lymphocyte proliferation rate, or PCNA mRNA expression levels, nor could it increase BAX mRNA expression levels. After specific blocking of JNK, the addition of high-dose boron could not increase BAX mRNA expression levels. However, after specific blocking of ERβ and JNK, the addition of high-dose boron could neither reduce the proportion of CD4+ and CD8+ T lymphocytes, the concentrations of IgG and IL-2 (P > 0.05), nor increase caspase-3 and BAX mRNA expression levels (P < 0.01). The results suggest that the ERβ-mediated JNK signaling pathway participates in regulating the effects of high-dose boron on the expression of genes related to the proliferation and apoptosis of rat splenic lymphocytes. [ABSTRACT FROM AUTHOR]

Triple negative breast cancers (TNBCs) lacking estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) on their cell surfaces are highly aggressive, difficult‐to‐treat and often relapse. Herein, we report on the self‐assembled lipid nanoparticles (LNPs) of two new pegylated lipopeptides for killing TNBCs (MDA‐MB‐231). The pegylated lipopeptides were synthesized by conjugating an n‐hexadecyl hydrophobic tail to one end of a (PEG)27 unit the other distal end of which was covalently grafted with two previously reported tumor targeting RGDK‐ and CGKRK‐ peptides. The SEM images of the self‐assembled LNPs formed upon dissolution of the pegylated lipopeptides in aqueous medium revealed formation of spherical aggregates. The degree of cellular uptake for the self‐assembled LNPs formed by the pegylated CGKRK‐lipopeptide were found to be significantly higher than that for the self‐assembled LNPs formed by the pegylated RGDK‐lipopeptide in MCF‐7, MDA‐MB‐231, HEK‐293 and HFF cells. Notably, about 60 % TNBCs (MDA‐MB‐231 cells) were killed upon treatment with commercially available potent JAK2 inhibitor (WP 1066) loaded LNPs of the pegylated RGDK‐lipopeptide. Contrastingly, the same treatment killed only about 20 % non‐cancerous HEK‐293 cells. The self‐assembled pegylated LNPs described herein open the door for undertaking preclinical studies in animal models for TNBCs. [ABSTRACT FROM AUTHOR]

Background: This article provides an overview of the role of neuropeptides in endometriosis. Main body. While the pathogenesis of endometriosis is not discovered exactly yet, researchers have explored endocrine, paracrine, and immunological influences to better understand the disease. Neuropeptides, which play a significant role in regulating communication among endometrial cells, have been extensively studied and found to have effects on neurons and other somatic cells. The interplay between neuropeptides, pain, and the immune response suggests that neuropeptides may play a significant role in the development and progression of endometriosis. Conclusion: We investigate the role of nerve fibers and neuropeptides, estrogen and estrogen receptors, and new biomarkers in promoting inflammation and pain in endometriosis. Further research should focus on the roles and therapeutic potential of neuropeptides in endometriosis. [ABSTRACT FROM AUTHOR]

Background: Transforming growth factor beta (TGFβ) is important for the morphogenesis and secretory function of the mammary gland. It is one of the main activators of the epithelial–mesenchymal transition (EMT), a process important for tissue remodeling and regeneration. It also provides cells with the plasticity to form metastases during tumor progression. Noncancerous and cancer cells respond differently to TGFβ. However, knowledge of the cellular signaling cascades triggered by TGFβ in various cell types is still limited. Methods: MCF10A (noncancerous, originating from fibrotic breast tissue) and MCF7 (cancer, estrogen receptor-positive) breast epithelial cells were treated with TGFB1 directly or through conditioned media from stimulated cells. Transcriptional changes (via RNA-seq) were assessed in untreated cells and after 1–6 days of treatment. Differentially expressed genes were detected with DESeq2 and the hallmark collection was selected for gene set enrichment analysis. Results: TGFB1 induces EMT in both the MCF10A and MCF7 cell lines but via slightly different mechanisms (signaling through SMAD3 is more active in MCF7 cells). Many EMT-related genes are expressed in MCF10A cells at baseline. Both cell lines respond to TGFB1 by decreasing the expression of genes involved in cell proliferation: through the repression of MYC (and the protein targets) in MCF10A cells and the activation of p63-dependent signaling in MCF7 cells (CDKN1A and CDKN2B, which are responsible for the inhibition of cyclin-dependent kinases, are upregulated). In addition, estrogen receptor signaling is inhibited and caspase-dependent cell death is induced only in MCF7 cells. Direct incubation with TGFB1 and treatment of cells with conditioned media similarly affected transcriptional profiles. However, TGFB1-induced protein secretion is more pronounced in MCF10A cells; therefore, the signaling is propagated through conditioned media (bystander effect) more effectively in MCF10A cells than in MCF7 cells. Conclusions: Estrogen receptor-positive breast cancer patients may benefit from high levels of TGFB1 expression due to the repression of estrogen receptor signaling, inhibition of proliferation, and induction of apoptosis in cancer cells. However, some TGFB1-stimulated cells may undergo EMT, which increases the risk of metastasis. Plain English summary: Transforming growth factor beta (TGFβ) is a multifaceted cytokine that controls numerous physiological and pathological processes during development and carcinogenesis. Its best-known function is the activation of epithelial–mesenchymal transition (EMT), a process crucial for tissue remodeling and regeneration. During EMT, epithelial cells lose their connections to adjacent cells and acquire mesenchymal characteristics, such as migratory ability. Compared with cancer cells, normal (nontumorigenic) cells usually respond differently to TGFβ stimulation. Typically, TGFβ inhibits the proliferation of epithelial cells and may promote cell death. In cancer cells, TGFβ often promotes tumor progression. TheTGFβ-mediated induction of EMT increases cell mobility, which is associated with the formation of metastases and tumor invasion. In this work, we compared the transcriptional response of noncancerous (MCF10A) and cancerous (MCF7; estrogen receptor-positive) breast epithelial cells to direct stimulation by TGFB1 and its indirect effect through conditioned media. Some of TGFB1-induced changes, including inhibition of proliferation and induction of EMT, were similar in both cell lines. However, these changes were associated with different upstream signaling pathways. Other changes were more specific, such as disruption of estrogen-related signaling or induction of cell death in MCF7 cells. Direct incubation with TGFB1 and treatment of cells with conditioned media similarly affected target cells, indicating the presence of a bystander effect. Moreover, transcript profiling by RNA-seq revealed that the TGFβ signaling pathway is already active in untreated MCF10A cells, which may be due to their origination from a fibrotic lesion. [ABSTRACT FROM AUTHOR]

For many diseases, including cancer, infections, and auto-immune diseases, the immune response is a major determinant of disease progression, response to therapy, and clinical outcome. Innate and adaptive immune responses are controlled by coordinated activity of different immune cell types. The functional activity state of immune cells is determined by Signal Transduction Pathways (STPs). A recently developed technology (Simultaneous Transcriptome-based Activity Profiling of Signal Transduction Pathways, STAP-STP) enables simultaneous and quantitative activity measurement of relevant STPs in immune cells based on mRNA-analysis. STAP-STP technology was used to analyze public transcriptome data of a variety of immune cell types in resting and activated functional state. In addition, a clinical study on rheumatoid arthritis (RA) was analyzed to illustrate utility of the technology. Per sample, activity of androgen and estrogen receptor, PI3K, MAPK, TGFβ, Notch, NFκB, JAK-STAT1/2, and JAK-STAT3 STPs was calculated, generating an STP activity profile (SAP) consisting of 9 activity scores. Each analyzed immune cell type, i.e. naive/resting and immune-activated CD4 + and CD8 + T cells, T helper cells, B cells, NK cells, monocytes, macrophages, and dendritic cells, had a reproducible and characteristic SAP, reflecting both cell type and its activity state. Analysis of clinical RA samples revealed increased TGFβ STP activity in whole blood samples. In conclusion, STAP-STP technology enables quantitative measurement of the functional activity state of immune cells of the innate and adaptive immune system. Aside from diagnostic applications, utility lies in unravelling abnormal immune function in disease and immunomodulatory drug development. [ABSTRACT FROM AUTHOR]

ER+/HER2- breast cancer is a common subtype of breast cancer. This study aimed to evaluate the prognostic value of ER-to-PR difference (EPD) in ER+/HER2- early breast cancer (EBC). A retrospective cohort study was conducted, including 3,340 ER+/HER2- EBC patients, divided into a training cohort of 2,873 patients and a validation cohort of 467 patients. The optimal EPD cutoff value for stratifying patients was determined using X-tile. Additionally, the prognostic value of EPD, when combined with other clinicopathological factors, was assessed using the Cox proportional hazards model and five traditional machine learning methods. The optimal cutoff value for EPD was determined as 10%, categorizing patients into EPD-low (ER-PR ≤ 10%) and EPD-high (ER-PR > 10%) expression groups. Patients with EPD-high tumors exhibited a poorer prognosis compared to those with EPD-low tumors. In the multivariate Cox model, EPD was identified as an independent prognostic factor for disease-free survival (DFS) (HR: 1.496, P = 0.004). Integrating EPD with clinicopathological parameters into a predictive model effectively predicts DFS in ER+/HER2- EBC patients. In the most effective CoxPH model, the area under the curve (AUC) values for predicting 3-year, 5-year, and 7-year DFS were 0.718, 0.702, and 0.701, respectively, in the WCH cohort, and 0.770, 0.739, and 0.743, respectively, in the FUSCC cohort. EPD may serve as a novel prognostic marker, allowing for the identification of a population with a poor prognosis in ER+/HER2- EBC, thereby aiding clinical decision-making. [ABSTRACT FROM AUTHOR]

Simple Summary: Predictions of survival in patients with localized breast cancer base their models on data from the time the patients are diagnosed. These survival curves have an inherent inaccuracy because they do not take into consideration events that occur after initial diagnosis. We used eep learning, a type of artificial intelligence, to model the survival of Medicare patients with stage I–III breast cancer from the SEER-Medicare dataset from 1991 to 2016. In addition to considering patient and cancer variables from the time of diagnosis, we included variables that occurred later, including treatment, adverse events, other medical conditions, and progressive age of the patient. Our predictions improved significantly, with the inaccuracy rate dropping from around 30% to less than 10% when the time-varying data were added to the time-fixed data. We also developed our models to generate individual patient predicted survival based on their unique circumstances made up of the patient, cancer, treatment, and treatment-related adverse events that occurred over time. This approach will be a powerful tool that can advise oncology caregivers and patients on the factors that impact their predicted survival. Background and objectives: Deep learning (DL)-based models for predicting the survival of patients with local stages of breast cancer only use time-fixed covariates, i.e., patient and cancer data at the time of diagnosis. These predictions are inherently error-prone because they do not consider time-varying events that occur after initial diagnosis. Our objective is to improve the predictive modeling of survival of patients with localized breast cancer to consider both time-fixed and time-varying events; thus, we take into account the progression of a patient's health status over time. Methods: We extended four DL-based predictive survival models (DeepSurv, DeepHit, Nnet-survival, and Cox-Time) that deal with right-censored time-to-event data to consider not only a patient's time-fixed covariates (patient and cancer data at diagnosis) but also a patient's time-varying covariates (e.g., treatments, comorbidities, progressive age, frailty index, adverse events from treatment). We utilized, as our study data, the SEER-Medicare linked dataset from 1991 to 2016 to study a population of women diagnosed with stage I–III breast cancer (BC) enrolled in Medicare at 65 years or older as qualified by age. We delineated time-fixed variables recorded at the time of diagnosis, including age, race, marital status, breast cancer stage, tumor grade, laterality, estrogen receptor (ER), progesterone receptor (PR), and human epidermal receptor 2 (HER2) status, and comorbidity index. We analyzed six distinct prognostic categories, cancer stages I–III BC, and each stage's ER/PR+ or ER/PR− status. At each visit, we delineated the time-varying covariates of administered treatments, induced adverse events, comorbidity index, and age. We predicted the survival of three hypothetical patients to demonstrate the model's utility. Main Outcomes and Measures: The primary outcomes of the modeling were the measures of the model's prediction error, as measured by the concordance index, the most commonly applied evaluation metric in survival analysis, and the integrated Brier score, a metric of the model's discrimination and calibration. Results: The proposed extended patients' covariates that include both time-fixed and time-varying covariates significantly improved the deep learning models' prediction error and the discrimination and calibration of a model's estimates. The prediction of the four DL models using time-fixed covariates in six different prognostic categories all resulted in approximately a 30% error in all six categories. When applying the proposed extension to include time-varying covariates, the accuracy of all four predictive models improved significantly, with the error decreasing to approximately 10%. The models' predictive accuracy was independent of the differing published survival predictions from time-fixed covariates in the six prognostic categories. We demonstrate the utility of the model in three hypothetical patients with unique patient, cancer, and treatment variables. The model predicted survival based on the patient's individual time-fixed and time-varying features, which varied considerably from Social Security age-based, and stage and race-based breast cancer survival predictions. Conclusions: The predictive modeling of the survival of patients with early-stage breast cancer using DL models has a prediction error of around 30% when considering only time-fixed covariates at the time of diagnosis and decreases to values under 10% when time-varying covariates are added as input to the models, regardless of the prognostic category of the patient groups. These models can be used to predict individual patients' survival probabilities based on their unique repertoire of time-fixed and time-varying features. They will provide guidance for patients and their caregivers to assist in decision making. [ABSTRACT FROM AUTHOR]

Simple Summary: The aim of this study was to assess the impact of various factors—such as age, age at menarche, age at first childbirth, number of births, body mass index (BMI), living environment (rural vs. urban), and other factors later discussed—on the likelihood of developing breast cancer. This article's original research was based on data gathered from 687 breast biopsies, which were analyzed through comparative analysis and regression analysis to identify possible predictors for malignancy and tumor size. The comparative analysis and regression models in this study provide deeper insights into the roles of various variables, particularly positive hormonal receptor status, in malignancy. Introduction: Breast cancer has become one of the most serious and widespread public health concerns globally, affecting an increasing number of women—and, in rare cases, men—across the world. It is the most common cancer among women across all countries. In this study, we aimed to evaluate the influence of demographic factors, medical and reproductive history, diagnostic techniques, and hormone receptor status on the development and progression of breast cancer. Materials and Methods: A total of 687 female patients from Romania underwent standard breast examination techniques, including clinical breast examination, mammography, ultrasonography, and, ultimately, breast biopsy. Statistical analysis was performed using the R programming language and RStudio software. The study included a comparative analysis and a prediction analysis for malignancy and tumor size (cumulative histological dimension) through logistic and linear regression models. Results: The comparative analysis identified several variables associated with malignancy: older age (p < 0.001), non-vulnerability (p = 0.04), no daily physical activity (p = 0.002), no re-biopsy (p < 0.001), immunohistochemistry use (p < 0.001), use of larger gauge needles (p < 0.001), ultrasound-guided biopsy (p < 0.001), and vacuum biopsy (p < 0.001). The hormone receptor statuses—estrogen receptor (ER), progesterone receptor (PR), and androgen receptor (AR)—showed statistically significant differences in distribution across breast cancer B classifications. Logistic regression analysis identified ER, PR, and age as significant predictors of malignancy. Linear regression analysis revealed histopathological results, living environment, geographical region, vulnerability, prior breast examination, and the number of histological fragments as significant predictors of cumulative histological dimension. Conclusions: Our predictive models demonstrate the impact of demographic factors, medical history, diagnostic techniques, and hormone receptor status on breast cancer development and progression, accounting for a significant portion of the variance in malignancy and cumulative histological dimension. [ABSTRACT FROM AUTHOR]

Lumbar spinal stenosis (LSS) is a degenerative spinal condition characterized by the narrowing of the spinal canal, resulting in low back pain (LBP) and limited leg mobility. Twin and family studies have suggested that genetics contributes to disease progression. However, the genetic causes of familial LSS remain unclear. We performed whole-exome and direct sequencing on seven female patients from a Han Chinese family with LBP, among whom four developed LSS. Based on our genetic findings, we performed gene knockdown studies in human chondrocytes to study possible pathological mechanisms underlying LSS. We found a novel nonsense mutation, c.417C > G (NM_002183, p.Y139X), in IL3RA, shared by all the LBP/LSS cases. Knockdown of IL3RA led to a reduction in the total collagen content of 81.6% in female chondrocytes and 21% in male chondrocytes. The expression of MMP-1, -3, and/or -10 significantly increased, with a more pronounced effect observed in females than in males. Furthermore, EsRb expression significantly decreased following IL3RA knockdown. Moreover, the knockdown of EsRb resulted in increased MMP-1 and -10 expression in chondrocytes from females. We speculate that IL3RA deficiency could lead to a reduction in collagen content and intervertebral disk (IVD) strength, particularly in females, thereby accelerating IVD degeneration and promoting LSS occurrence. Our results illustrate, for the first time, the association between IL3RA and estrogen receptor beta, highlighting their importance and impact on MMPs and collagen in degenerative spines in women. [ABSTRACT FROM AUTHOR]

Menopause weakens the brain's structural integrity and increases its susceptibility to a range of degenerative and mental illnesses. 17β estradiol (17βE2) exhibits potent neuroprotective properties. Exogenous estrogen supplementation provides neuroprotection, but the findings presented by the Million Women Study (MWS) and the Women's Health Initiative (WHI), as well as the increased risk of endometrial cancer, breast cancer and venous thromboembolism associated with estrogen use, have cast doubt on its clinical use for neurological disorders. Thus, the objective of our review article is to compile all in vitro and in vivo studies conducted till date demonstrating the neuroprotective potential of nonfeminizing estrogens. This objective has been achieved by gathering various research and review manuscripts from different records such as PubMed, Embase, Scopus, Google Scholar, Web of Science and OVID, using different terms like 'estrogen deficiency, 17β estradiol, non‐feminising estrogens, and brain disorder'. However, recent evidence has revealed the contribution of numerous non‐estrogen receptor‐dependent pathways in neuroprotective effects of estrogen. In conclusion, synthetic nonfeminizing estrogens that have little or no ER binding but are equally powerful (and in some cases more potent) in delivering neuroprotection are emerging as viable and potential alternatives. [ABSTRACT FROM AUTHOR]

Background: Epidermal growth factor receptor (EGFR) and vascular endothelial growth factor receptor (VEGF) play important role in breast tumor growth, invasion, metastasis, patient survival and drug resistance. The aim of this study was to evaluate the protein expression status of EGFR and VEGF-A, as well as their association with hormone receptor status and histopathological characteristics in the invasive type of female breast cancer among Ethiopians. Method: The primary breast tumor tissues were obtained from 85 Ethiopian invasive breast cancer cases that underwent modified radical mastectomy (MRM) from June 2014 to June 2015. Their FFPE blocks were analyzed for EGFR and VEGF protein expressions using immunohistochemical techniques. The expressions were also correlated with histopathologic features. Result: Epidermal growth factor receptor over-expression was observed in 22% of the tumor samples. VEGF-A expression was negative in 13.41%, low in 63.41%, moderate in 20.73%, and high in 2.44%. EGFR expression, but not VEGF-A, showed a significant inverse correlation with both estrogen receptor (ER) (P = 0.01) and progesterone receptor (PR) statuses (P = 0.04). EGFR and VEGF expressions did not show significant association with tumor size, grade, lymph node status or age at diagnosis. Conclusion: Epidermal growth factor receptor expression was most likely associated with ER and PR negative tumors. Assessments of multiple molecular markers aid to understand the biological behavior of the disease in Ethiopian population. It might also help to predict which group of patients might get more benefit from the selected treatment strategies and which are not. [ABSTRACT FROM AUTHOR]

Background: Breast cancer, one of the most often diagnosed malignancies worldwide, continues to take countless women's lives. Its treatment usually involves targeting the human estrogen receptor alpha (ERα). Current research explores the potential of natural compounds to regulate ERα activity, providing a hopeful direction for breast cancer therapy. Our study utilized a comprehensive approach to identify promising natural compounds for breast cancer treatment, including quantum descriptors, molecular docking, molecular dynamics simulations, and ADMET/pharmacokinetics analysis. Results: Six natural compounds derived from podophyllum medicinal plants, namely 4-demethylpodophyllotoxin (NP1), α-peltatin (NP2), podophyllotoxin (NP3), deoxypodophyllotoxin (NP4), podophyllotoxone (NP5), and β-peltatin (NP6), were investigated as potential selective estrogen receptor α (ERα) inhibiting agents for breast cancer. These compounds demonstrated the strongest binding affinity to the target enzyme, with binding energies of − 8.9 and − 8.1 kcal/mol, respectively. Further assessments of drug-likeness and ADME properties were conducted for these compounds, along with quantum calculations (HOMO–LUMO) to evaluate their reactivity. Additionally, molecular dynamics studies were performed to assess the stability of the NP1 and NP2 protein–ligand complexes. Conclusions: We analyzed six natural compounds comprehensively, evaluating their ADME properties, molecular docking interactions, quantum descriptors, and dynamic simulations. Our findings demonstrate that these natural compounds are promising possibilities for treating breast cancer. Additionally, they may provide a basis for developing future compounds targeting estrogen receptor α (ERα) activity. [ABSTRACT FROM AUTHOR]

Objective Methods Results Conclusion Rab11A is an important molecule for recycling endosomes and is closely related to the proliferation, invasion, and metastasis of tumors. This study investigated the prognostic and immune significance of Rab11A and validated its potential function and mechanism in breast cancer (BRCA).RNA sequencing data for 33 tumors were downloaded from The Cancer Genome Atlas (TCGA) and Genotype‐Tissue Expression databases. Correlation analysis was used to evaluate the relationship between Rab11A expression and immune characteristics. Potential pathways were identified using the Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analysis. Immunohistochemical analysis, colony formation assay, bromodeoxyuridine incorporation assay, immunofluorescence, and Western blot were used to explore potential function and mechanism.Analysis of the TCGA database showed significant upregulation of Rab11A expression in a variety of cancers. Rab11A was up‐regulated in 82.4% of BRCA. High Rab11A expression is associated with poor survival in cancer patients and is a predictor of poor prognosis. CIBERSORT analysis showed that Rab11A was negatively associated with almost all immune cycle activity scores pan‐cancer. The results of the TCGA‐BRCA cohort were further confirmed by using pathological samples from clinical BRCA patients. The results showed that Rab11A expression was correlated with estrogen receptor (ER) and progesterone receptor expression in BRCA (p < 0.05). Knockdown and overexpression of Rab11A affected the proliferation of BRCA cells. Further mechanistic studies revealed that down‐regulation of ER alpha (ERα) and up‐regulation of ER beta (ERβ) mediated Rab11A‐induced inhibition of BRCA cell proliferation.Rab11A expression in pan‐cancer is associated with poor prognosis and immune profile. In particular, in BRCA, Rab11A expression regulates cell proliferation by targeting ERα and ERβ. High Rab11A expression is tightly associated with immune characteristics, tumor microenvironment, and genetic mutations. These results provide a reference for exploring the role of Rab11A in pan‐cancer and provide a new perspective for revealing potential therapeutic targets in BRCA. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to investigate whether estrogen receptor (ER) status affects the predictive role of the human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) score on the efficacy of neoadjuvant treatment for HER2‐positive breast cancer. Methods: This retrospective study comprised 167 individuals diagnosed with HER2‐positive invasive breast cancer who had undergone neoadjuvant treatment and surgery. Uni‐ and multivariable logistic regression analyses were performed on the relationship between the HER2 IHC score and total pathological complete response (tpCR), breast pathological complete response (bpCR), or axillary partial response (apCR). Subgroup analyses were used to investigate whether the relationship between the HER2 IHC score and tpCR, bpCR, or apCR differed by ER or PR status. Results: The overall tpCR rate for HER2‐positive breast cancers treated with neoadjuvant treatment was 41.32% (69 of 167). The tpCR, bpCR, and apCR rates were greater in the HER2 IHC 3+ group (tpCR: IHC 3 + 47.69% vs. IHC 2 + 18.92%, p = 0.009). Significant interactions between HER2 IHC score and tpCR or bpCR were found in subgroup analyses based on ER status (tpCR: p for interaction = 0.001; bpCR: p for interaction = 0.001). Among ER‐positive patients, the HER2 IHC 2+ group had substantially decreased tpCR, bpCR, and apCR rates than the HER2 IHC 3+ group (tpCR rate: p = 0.003; bpCR rate: p = 0.002; apCR rate: p = 0.002). For ER‐negative individuals, the tpCR, bpCR, and apCR rates did not differ significantly among the HER2 IHC 3+ versus HER2 IHC 2+ groups. Similarly, interactions between HER2 IHC score and tpCR, bpCR, or apCR were found in subgroup analyses based on PR status. Conclusion: HER2 IHC 2+ may indicate a decreased tpCR rate, bpCR rate, and apCR rate to neoadjuvant treatment in HR‐positive patients having HER2‐positive breast cancer, but not in HR‐negative patients. [ABSTRACT FROM AUTHOR]

Estrogen receptor alpha (ERα) plays a critical role in breast cancer (BC) progression, with endocrine therapy being a key treatment for ERα + BC. However, resistance often arises due to somatic mutations in the ERα ligand-binding domain (LBD). Lasofoxifene, a third-generation selective estrogen receptor modulator, has shown promise against Y537S and D538G mutations. However, the emergence of a novel F404 mutation in patients with pre-existing LBD mutations raises concerns about its impact on lasofoxifene efficacy. This study investigates the impact of the dual Y537S and F404V mutations on lasofoxifene's efficacy. Using molecular dynamics simulations and molecular mechanics/Poisson-Boltzmann surface area (MM-PBSA) free energy calculations, we found that the dual mutation reduces lasofoxifene binding affinity and binding free energy, disrupts crucial protein-ligand interactions, and induces significant conformational changes in the ligand-binding pocket. These alterations are likely due to the loss of the pi-pi stacking interaction in the F404V mutation. These findings suggest a potential reduction in lasofoxifene efficacy due to the dual mutation. Further experimental validation is required to confirm these results and fully understand the impact of dual mutations on lasofoxifene's effectiveness in ERα + metastatic BC. [ABSTRACT FROM AUTHOR]

Background: Monocytes comprise subsets of classical, intermediate and non-classical monocytes with distinct anti- or pro-tumor effects in breast cancer (BC). They are modulated by estrogen, and can contribute to BC control by endocrine therapy in preclinical models. Methods: To elucidate whether changes in monocyte subsets are associated with treatment and response, we investigated peripheral blood samples of 73 postmenopausal women with estrogen receptor (ER) positive BC, who received aromatase inhibitor therapy with or without the mucin-1 vaccine tecemotide in the ABCSG34 trial. Blood was retrieved at baseline, midterm and end of therapy, and was analyzed for the distribution and ER expression of monocyte subsets by flow cytometry. Results: When 40 healthy, age-matched women were compared with BC patients before treatment start, ER levels of monocytes did not differ, yet patients presented with a higher frequency of classical and fewer non-classical monocytes. Endocrine therapy triggered a significant increase in ER levels in all monocyte subsets, without affecting subset distribution. Vaccination had no overall impact on subset frequency and ER expression. Yet, a shift from intermediate to classical monocytes during therapy correlated with changes in plasma cytokines and chemokines and was significantly associated with low residual cancer burden in vaccinated patients. Without tecemotide, baseline ER levels in classical monocytes were significantly higher in women with good response to endocrine therapy. Conclusions: This study identified classical monocytes to be associated with ER positive BC and with patient response to neoadjuvant endocrine treatment and cancer vaccination. [ABSTRACT FROM AUTHOR]

Nine new coumarin derivatives of 2‐(7‐hydroxy‐2‐oxo‐2H‐chromen‐4‐yl)acetic acid 6a–i have been successfully synthesized through amide coupling with various substituted anilines and 2‐aminopyridines. The synthesized derivatives were screened for anticancer activity using MTT assay on MCF‐7 cell line. The results showed that compound 6b inhibited MCF‐7 cell growth in a dose‐dependent manner and reached 47% inhibition at 40 µM, being better than starting material 5 and references 3 and 5FU drug. Moreover, 6b inhibited significantly 3D tumorsphere formation. The para‐Br substitution of 6b seems to be important for activity. Docking study suggests estrogen receptor and/or 3a‐HSD type 3 protein could be the target(s) for anticancer activity of this class of compounds. Further optimization of compound 6b should lead to more potent compound. [ABSTRACT FROM AUTHOR]

Gender disparities are evident across different types of digestive system cancers, which are typically characterized by a lower incidence and mortality rate in females compared to males. This finding suggests a potential protective role of female steroid hormones, particularly estrogen, in the development of these cancers. Estrogen is a well-known sex hormone that not only regulates the reproductive system but also exerts diverse effects on non-reproductive organs mediated through interactions with estrogen receptors (ERs), including the classic (ERa and ERß) and non-traditional ERs [G protein-coupled estrogen receptor (GPER)]. Recent advances have contributed to our comprehension of the mechanisms underlying ERs in digestive system cancers. In this comprehensive review we summarize the current understanding of the intricate roles played by estrogen and ERs in the major types of digestive system cancers, including hepatocellular, pancreatic, esophageal, gastric, and colorectal carcinoma. Furthermore, we discuss the potential molecular mechanisms underlying ERa, ERß, and GPER effects, and propose perspectives on innovative therapies and preventive measures targeting the pathways regulated by estrogen and ERs. The roles of estrogen and ERs in digestive system cancers are complicated and depend on the cell type and tissue involved. Additionally, deciphering the intricate roles of estrogen, ERs, and the associated signaling pathways may guide the discovery of novel and tailored therapeutic and preventive strategies for digestive system cancers, eventually improving the care and clinical outcomes for the substantial number of individuals worldwide affected by these malignancies. [ABSTRACT FROM AUTHOR]

Purpose: Notable effectiveness of trastuzumab deruxtecan in patients with human epidermal growth factor receptor 2 (HER2)–low advanced breast cancer (BC) has focused pathologists' attention. We studied the incidence and clinicopathologic characteristics of HER2-low BC, and the effects of immunohistochemistry (IHC) associated factors on HER2 IHC results. Materials and Methods: The Breast Pathology Study Group of the Korean Society of Pathologists conducted a nationwide study using real-world data on HER2 status generated between January 2022 and December 2022. Information on HER2 IHC protocols at each participating institution was also collected. Results: Total 11,416 patients from 25 institutions included in this study. Of these patients, 40.7% (range, 6.0% to 76.3%) were classified as HER2-zero, 41.7% (range, 10.5% to 69.1%) as HER2-low, and 17.5% (range, 6.7% to 34.0%) as HER2-positive. HER2-low tumors were associated with positive estrogen receptor and progesterone receptor statuses (p < 0.001 and p < 0.001, respectively). Antigen retrieval times (≥ 36 minutes vs. < 36 minutes) and antibody incubation times (≥ 12 minutes vs. < 12 minutes) affected on the frequency of HER2 IHC 1+ BC at institutions using the PATHWAY HER2 (4B5) IHC assay and BenchMark XT or Ultra staining instruments. Furthermore, discordant results between core needle biopsy and subsequent resection specimen HER2 statuses were observed in 24.1% (787/3,259) of the patients. Conclusion: The overall incidence of HER2-low BC in South Korea concurs with those reported in previously published studies. Significant inter-institutional differences in HER2 IHC protocols were observed, and it may have impact on HER2-low status. Thus, we recommend standardizing HER2 IHC conditions to ensure precise patient selection for targeted therapy. [ABSTRACT FROM AUTHOR]