Coagulation factor 5 (F5) is an estrogen-responsive gene in breast cancer cells

2021 ◽  
Author(s):  
Marianne Andresen ◽  
Marit Sletten ◽  
Per-Morten Sandset ◽  
Nina Iversen ◽  
Benedicte Stavik ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Coagulation Factor ◽  
Breast Tumors ◽  
Estrogen Signaling ◽  
Coagulation System ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Er Positive ◽  
Pre Treatment

Most breast cancers express estrogen receptor (ER) where estrogen signaling plays an important role. Cancer contributes to activation of the coagulation system leading to an imbalance in the hemostatic system, and Coagulation factor (F) V, which is a key regulator of blood coagulation, has been shown to be increased in breast tumors. Thus, the molecular association between estrogens and FV was explored. Stimulation with 17-β-estradiol (E2) or 17-β-ethinylestradiol (EE2) resulted in a time- and dose-dependent increase in F5 mRNA and FV protein in ERα positive MCF-7 cells. Pre-treatment with the ER antagonist fulvestrant or knockdown of ERα prior to stimulation with E2 counteracted this effect. Three ERα binding half-sites were identified in the promoter region of the F5 gene in silico. Reporter gene analysis showed that all three half-sites were involved in the estrogen-induced gene regulation in vitro, as the effect was abolished only when all half-sites were mutated. High F5 levels in ER positive breast tumors were associated with increased relapse-free survival of breast cancer patients.

scholarly journals Estrogen deprivation triggers an immunosuppressive phenotype in breast cancer cells

2019 ◽  
Author(s):  
Daniela Hühn ◽  
Pablo Martí-Rodrigo ◽  
Silvana Mouron ◽  
Catherine S. Hansel ◽  
Kirsten Tschapalda ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Mcf7 Cells ◽  
Estrogen Deprivation ◽  
Er Positive

ABSTRACTEstrogen receptor (ER)-positive breast tumors are routinely treated with estrogen-depriving therapies. Despite their effectiveness, patients often progress into a more aggressive form of the disease. Through a chemical screen oriented to identify chemicals capable of inducing the expression of the immune-checkpoint ligand PD-L1, we found antiestrogens as hits. Subsequent validations confirmed that estrogen deprivation or ERα depletion induces PD-L1 expression in ER-positive breast cancer cells, both in vitro and in vivo. Likewise, PD-L1 expression is increased in metastasis arising from breast cancer patients receiving adjuvant hormonal therapy for their local disease. Transcriptome analyses indicate that estrogen deprivation triggers a broad immunosuppressive program, not restricted to PD-L1. Accordingly, estrogen deprived MCF7 cells are resistant to T-cell mediated cell killing, in a manner that can be reverted by estradiol. Our study reveals that while antiestrogen therapies effectively limit tumor growth in ER-positive breast cancers, they also trigger a transcriptional program that favors immune evasion.

scholarly journals GATA3 and MDM2 are synthetic lethal in estrogen receptor-positive breast cancers

2020 ◽  
Author(s):  
Gaia Bianco ◽  
Mairene Coto-Llerena ◽  
John Gallon ◽  
Stephanie Taha-Mehlitz ◽  
Venkatesh Kancherla ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Synthetic Lethality ◽  
Poor Response ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Synthetic Lethal ◽  
Er Positive

SummarySynthetic lethal interactions, where the simultaneous but not individual inactivation of two genes is lethal to the cell, have been successfully exploited to treat cancer. GATA3 is frequently mutated in estrogen receptor (ER)-positive breast cancers and its deficiency defines a subset of patients with poor response to hormonal therapy and poor prognosis. However, GATA3 is not targetable. Here we show that GATA3 and MDM2 are synthetically lethal in ER-positive breast cancer. Depletion and pharmacological inhibition of MDM2 induce apoptosis in GATA3-deficient models in vitro, in vivo and in patient-derived organoids (PDOs) harboring GATA3 somatic mutation. The synthetic lethality requires p53 and acts via the PI3K/Akt/mTOR pathway. Our results present MDM2 as a novel therapeutic target in the substantial cohort of ER-positive, GATA3-mutant breast cancer patients. With MDM2 inhibitors widely available, our findings can be rapidly translated into clinical trials to evaluate in-patient efficacy.

Predominance of RAD21 and ERBB2 amplification and progesterone receptor positivity in tumors of the right breast support breast cancer lateralization.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12557-e12557
Author(s):  
Zachary Spigelman ◽  
Jo-Ellen Murphy
Keyword(s):  
Breast Cancer ◽  
Progesterone Receptor ◽  
Cancer Patients ◽  
Breast Tumors ◽  
Left Breast ◽  
Breast Cancers ◽  
Her2 Expression ◽  
Breast Cancer Patients ◽  
The Right ◽  
Chi Square Analysis

e12557 Background: Biologic lateralization broadly impacts breast cancer. Malignancies originating in the left breast compared to the right breast tend to be more frequent, larger and of poorer prognosis. Left breast tumors respond differently to HER2-neu signaling and have lateralized Ki67 expression. In a prior study a right-left asymmetry in the neutrophil/lymphocyte ratio (NLR) of breast cancers was identified (ASCO 2018, e13094). As a follow-up, retrospective analysis of results from comprehensive genomic profiling (CGP) of right and left side breast cancer specimens was performed to determine a potential genomic etiology for the observed NLR lateralization. Methods: Tumors from 43 consecutive breast cancer patients underwent analysis for all classes of genomic alterations by hybrid capture-based CGP (Foundation Medicine). The CGP results from the 25 left- and 18 right-sided breast cancer samples were analyzed along with the histologic grade and status of estrogen receptor (ER), progesterone receptor (PR), and HER2 expression. Results: In this cohort of advanced breast cancer patients (stage 3-4), no statistically significant differences in lateralization were identified based on patient age, tumor stage, or frequency of ER or Her2 expression (Table). A predominance of PR positivity (p=0.14 chi square analysis) and amplifications in the ERBB2 (p=0.37) and RAD21 (p=0.08) genes were detected in right side tumors. Conclusions: Together with the prior study, trends in asymmetry based on genomic, pathologic, and immunohistologic differences have been detected in breast cancers, including an increased incidence of ERBB2 and RAD21 amplification in right-side breast tumors in this cohort. The predominance of lower PR positivity in the left breast tumors may be due to preferential hypermethylation, consistent with reports that it mediates biologic lateralization changes, downregulates PR expression, and alters amplification rates. Epigenetic methylation, may contribute to asymmetric breast cancer biology and have implications for therapeutic strategy. Further study is warranted.[Table: see text]

scholarly journals The Emerging Role of ESR1 Mutations in Luminal Breast Cancer as a Prognostic and Predictive Biomarker of Response to Endocrine Therapy

Cancers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1894 ◽  
Author(s):  
Irene De Santo ◽  
Amelia McCartney ◽  
Ilenia Migliaccio ◽  
Angelo Di Leo ◽  
Luca Malorni
Keyword(s):  
Breast Cancer ◽  
Endocrine Resistance ◽  
Metastatic Breast ◽  
Predictive Biomarker ◽  
Clinical Findings ◽  
Luminal Breast Cancer ◽  
Breast Cancers ◽  
Er Positive ◽  
Esr1 Mutations

Mutations in the hotspot ligand-binding domain of the estrogen receptor (ER) gene ESR1 have recently been recognized as mechanisms of endocrine resistance in endocrine receptor-positive metastatic breast cancer (MBC). Accumulating data suggest these mutations develop under the selective pressure of endocrine treatments, and are infrequent in untreated ER-positive breast cancers. In vitro studies show that these mutations confer ligand-independent activity, resistance to estrogen deprivation, and relative resistance to tamoxifen and fulvestrant. Post-hoc retrospective and prospective analyses of ESR1 mutations in patients with MBC have consistently found that these mutations are markers of poor prognosis and predict resistance to aromatase inhibitors (AIs). These results warrant further investigation and prospective validation in dedicated studies. Moreover, studies are ongoing to clarify the activity of novel drugs in the context of metastatic endocrine resistant luminal breast cancer harboring ESR1 mutations. In this review, we summarize the pre-clinical and clinical findings defining the characteristics of ESR1 mutant breast cancer, and highlight the potential clinical developments in this field.

scholarly journals ER-Negative Breast Cancer Is Highly Responsive to Cholesterol Metabolite Signalling

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2618 ◽  
Author(s):  
Samantha A Hutchinson ◽  
Priscilia Lianto ◽  
Hanne Roberg-Larsen ◽  
Sebastiano Battaglia ◽  
Thomas A Hughes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Lines ◽  
Target Genes ◽  
Cholesterol Metabolism ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Cancer Subtypes ◽  
Hormone Receptor Positive ◽  
Er Positive ◽  
Positive Breast Cancer

Interventions that alter cholesterol have differential impacts on hormone receptor positive- and negative-breast cancer risk and prognosis. This implies differential regulation or response to cholesterol within different breast cancer subtypes. We evaluated differences in side-chain hydroxycholesterol and liver X nuclear receptor signalling between Oestrogen Receptor (ER)-positive and ER-negative breast cancers and cell lines. Cell line models of ER-positive and ER-negative disease were treated with Liver X Receptor (LXR) ligands and transcriptional activity assessed using luciferase reporters, qPCR and MTT. Publicly available datasets were mined to identify differences between ER-negative and ER-positive tumours and siRNA was used to suppress candidate regulators. Compared to ER-positive breast cancer, ER-negative breast cancer cells were highly responsive to LXR agonists. In primary disease and cell lines LXRA expression was strongly correlated with its target genes in ER-negative but not ER-positive disease. Expression of LXR’s corepressors (NCOR1, NCOR2 and LCOR) was significantly higher in ER-positive disease relative to ER-negative, and their knock-down equalized sensitivity to ligand between subtypes in reporter, gene expression and viability assays. Our data support further evaluation of dietary and pharmacological targeting of cholesterol metabolism as an adjunct to existing therapies for ER-negative and ER-positive breast cancer patients.

Differential protein kinase activity in ER-positive and ER-negative breast cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22142-e22142
Author(s):  
R. Ruijtenbeek ◽  
A. Umar ◽  
L. van Houten ◽  
R. Hilhorst ◽  
J. A. Foekens ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Protein Kinase ◽  
Kinase Activity ◽  
Breast Tumors ◽  
Protein Kinase Activity ◽  
Vitro Assay ◽  
Peptide Substrates ◽  
Peptide Microarrays ◽  
Er Positive

e22142 Background: Specific protein tyrosine kinases (PTKs) promote cancer progression and are potential drug targets. The presence of the estrogen receptor (ER) is an important criterion in deciding on treatment of patients with breast cancer. Since PTKs can affect the tumors' receptor function, we investigated in our first proof-of-principle study whether it is possible to discriminate ER-positive (ER+) from ER-negative (ER-) tumors based on PTK activity using microarrays containing many PTK peptide substrates. Methods: Cryosections of 12 ER+ and 12 ER- breast tumors were lysed in the presence of appropriate protease and phosphatase inhibitors. The protein kinase activity in the lysates was monitored in vitro using PamChip peptide microarrays, which comprise of 253 PTK peptide substrates derived from known human phosphorylation sites. Peptide phosphorylation through active kinases can be monitored in samples in real time, using a fluorescently labeled phospho-tyrosine specific antibody. Results: Phosphorylation activity profiles were determined in quadruplicate using multiple independent sample preparations. Using ANOVA analysis, out of 253 peptides, several peptides with a different phosphorylation signal in ER+ and ER- samples were found: 22 with p < 0.02 including VEGFR1, 2 and 3 and ADAM9. Multivariate unsupervised analysis using Principle Component Analysis showed a clustering of ER+ samples vs. ER- samples. Predictive analysis was performed using Partial-Least Squares Discriminant Analysis without explicit feature selection. The prediction error obtained from within experiment cross validation was typically in the range 10–20%. The error rate for between experiment prediction was 20%. An average predictive profile was constructed in which peptides with a relatively large weight were included, e.g. ADAM9 and BCAR1. Conclusions: Using PamChip peptide microarrays we have shown that differences in protein kinase activity exist between ER+ and ER- breast tumors. Our in vitro assay is a promising tool to investigate the interplay between kinase and nuclear receptor mediated signaling, with potential relevance to patient selection for targeted therapies. No significant financial relationships to disclose.

Clinical relevance of miR-143 expression in ER-positive breast cancer patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12574-e12574
Author(s):  
Yoshihisa Tokumaru ◽  
Masanori Oshi ◽  
Eriko Katsuta ◽  
Nobuhisa Matsuhashi ◽  
Manabu Futamura ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Immune Cells ◽  
High Expression ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Immune Microenvironment ◽  
Anti Cancer ◽  
Tumor Immune Microenvironment ◽  
Er Positive

e12574 Background: MicroRNA-143(miR-143) is a well-known tumor suppressive microRNA in various malignancies, including breast cancer. Recently, the tumor immune microenvironment has been reported to associate with progression of breast cancers. However, the association with the tumor immune microenvironment and miR-143 in breast cancers remains ambiguous. Given these backgrounds, we hypothesized that high expression of miR-143 is associated with favorable effect to the tumor immune microenvironment which leads to better survival of ER positive breast cancer patients. Methods: Two major publicly available breast cancer cohorts were used for this study. A total of 753 patients from The Cancer Genome Atlas (TCGA) and total of 1283 patients from Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) were used. Results: We defined the higher quartile of miR-143 expression levels as high and the remainder as low expression groups. There was no significant difference in patient clinicopathlogical features between two groups. Gene set enrichment analysis (GSEA) revealed that miR-143 high expression tumors enriched Helper T cell type 1 (Th1) related gene sets indicating the upregulation of anti-cancer immune cells. Also, the cell composition of anti-cancer immune cells, such as Th1 and Macrophage M1 were higher with miR-143 high tumors (p < 0.001 and p < 0.01 respectively) in whole group. On the contrary, pro-cancer immune cells such as Th2 and M1 were lower with miR-143 high tumors (p < 0.01 and p < 0.001 respectively) in whole group. Interestingly, among the subtypes, we found that ER positive subgroup followed this trend of high infiltration rate of anti-cancer immune cells and low infiltration rate of pro-cancer immune cells. Furthermore, only ER positive subgroup demonstrated the survival benefit with miR-143 high expression tumors. Conclusions: We demonstrated that high expression of miR-143 in ER breast cancer associate with favorable tumor immune microenvironment, upregulation of the anti-cancer immune cells and suppression of the pro-cancer immune cells, and associate with better survival of the breast cancer patients.

scholarly journals Performing Data Mining to Explain the Correlation between the BIRC5 Gene and Prognosis in Breast Cancer Patients

2020 ◽  
Author(s):  
Hong Dongsheng ◽  
Zhang YanFang ◽  
Ye Ziqi ◽  
Chen Jing ◽  
Lu Xiaoyang
Keyword(s):  
Breast Cancer ◽  
Mrna Expression ◽  
Cancer Patients ◽  
Cancer Cell Line ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Luminal B ◽  
Kaplan Meier ◽  
Er Positive

Abstract Background: Breast cancer is the most commonly malignant cancers in women, and BIRC5 has been found to be overexpressed in a variety of human tumors. Its expression is associated with the prognosis of many cancers. However, whether BIRC5 mRNA could be used as an independent prognostic factor for breast cancer remains inconsistent in previous studies.Methods: Altered BIRC5 expression in normal tissue relative to various tumor tissue and in breast cancer patients with different molecular subtypes, clinical outcomes and chemotherapy responses were examined using the Oncomine, GOBO and Kaplan-Meier plotter datasets.Results: We found that many breast cancers had increased BIRC5 mRNA expression, and GOBO analysis showed that triple-negative cell lines displayed highest BIRC5 mRNA expression levels in the breast cancer cell line panel. Moreover, BIRC5 high mRNA expression was significantly associated with longer relapse-free survival (RFS) in all breast cancer patients. In particular, sub analysis revealed that high mRNA expression of BIRC5 was significantly associated with better survival in ER positive (HR = 2.05, p = 1e-16), but not in ER negative breast cancer (HR = 1.24, p = 0.1), furthermore, the results also demonstrated that BIRC5 high expression was significantly associated with longer RFS in luminal A (HR = 1.51, p = 3.1e-06) and luminal B (HR = 1.28, p = 0.026).Conclusions: In conclusion, BIRC5 is involved in the development and progression of breast cancer and may be a suitable prognostic marker for human breast cancer.

scholarly journals A Review of the Potential Role of Human Cytomegalovirus (HCMV) Infections in Breast Cancer Carcinogenesis and Abnormal Immunity

Cancers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1842 ◽  
Author(s):  
Jürgen Geisler ◽  
Joel Touma ◽  
Afsar Rahbar ◽  
Cecilia Söderberg-Nauclér ◽  
Katja Vetvik
Keyword(s):  
Breast Cancer ◽  
Human Cytomegalovirus ◽  
Triple Negative ◽  
Breast Tumors ◽  
Active Role ◽  
Gene Products ◽  
Breast Cancers ◽  
Wide Range

Previously recognized classical human onco-viruses can regulate complex neoplastic events, and are estimated to play a role during carcinogenesis in 15–20% of cancer cases. Although the DNA and gene products of several viruses have been found in breast tumors, none of the classical onco-viruses have definitely been linked to the initiation of breast cancer. However, recent evidence shows that human cytomegalovirus (HCMV) gene products are found in >90% of tumors and metastases of breast cancers, and their increased expression can be correlated to a more aggressive breast cancer phenotype. Supporting the active role of HCMV in breast cancer, a specific HCMV strain, HCMV-DB, was recently shown to exert oncogenic transformational activity in breast epithelial cells in vitro, and to give rise to fast-growing, triple-negative breast tumors when injected into immune deficient mice. The same observation holds true for clinical studies implying increased HCMV protein expression in triple negative breast cancer biopsies. In addition to functionally being able to hijack tumor-promoting cellular events, HCMV is known to exhibit a wide range of immunosuppressive effects, which can have radical impact on the tumor microenvironment. HCMV infected cells can avoid recognition and elimination by the immune system by orchestrating polarization of immunosuppressive type II macrophages, preventing antigen presentation, by expressing T cell inhibitory molecules, and possibly, by the induction of regulatory T (Treg) cell responses. These actions would be especially deleterious for the antigenic activation and proliferation of tumor specific CD8+ cytotoxic T lymphocytes (CTLs), whose effector functions have recently been targeted by successful, experimental immunotherapy protocols. The recognition of alternative causes and drivers of breast cancer is a pivotal research topic for the development of diagnostics and novel, effective preventive and therapeutic strategies targeting both tumor cells and their microenvironments.

scholarly journals Can Color and Spectral Doppler Ultrasound of Breast Cancers Help to Predict the Immunohistochemistry profile?

2019 ◽  
pp. 161-167
Author(s):  
Afsaneh Alikhassi ◽  
Soodabeh Zamani Nokandeh ◽  
Kazem Mousavi ◽  
Hana Saffar ◽  
Masoumeh Gity ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Doppler Ultrasound ◽  
Color Doppler ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Color Flow ◽  
Er Positive ◽  
Spectral Doppler ◽  
Doppler Color

  Purpose: To determine the relationship between color and spectral Doppler features of breast cancers and their biomarkers. Patients and Methods: From January 2017 to January 2018, 43 patients with breast cancer were enrolled. Age, existence of color flow in the Doppler ultrasound, color flow pattern, tumor size, and immunohistochemistry (IHC) subtypes were recorded. Results: Among 43 breast cancer patients, IHC profiles showed that 36 patients were estrogen (ER) positive, 30 patients were progesterone (PR) positive, and 12 patients were human epidermal growth factor receptor 2 (Her2) positive. The prevalence of biomarker groups in this study were as follows: luminal A, 21 patients (48.83%); luminal B, 15 (34.88%); Her 2 amplifier, 2 (4.65%); and triple negative, 5 (11.62%). Thirty-seven patients (86.04%) with malignant masses had detectable flow and six patients (13.95%) had no detectable flow. The ER-positive and PR-positive breast cancers had the highest vascular presence rate in color Doppler ultrasound but it was not statistically significant. Maximum vessel diameter in different biomarker groups and Doppler color patterns with various biomarkers showed no significant differences. Conclusion: It is not possible to predict breast cancer biomarker groups using available color Doppler features and indexes, so pathology with IHC is still required.  

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