Signaling Pathway In Breast Cancer Research Articles

Gene Editing for Unraveling the Regulatory Role of a HER2-Associated Enhancer with lncRNA GAS5 and Related Genes in Breast Cancer Cells

Background: The HER2/neu gene belongs to the epidermal growth factor receptor (EGFR) family and encodes a 185 kDa protein with tyrosine kinase activity. HER2 amplification or overexpression has been associated with tumorigenesis and cancer progression, notably in breast cancer (BC). The long non-coding RNA GAS5 has been recognized as a tumor suppressor in BC, promoting apoptosis and inhibiting cell proliferation. Moreover, GAS5 regulates key signaling pathways in breast cancer, including PI3K/AKT/mTOR and PTEN signaling. The PI3K/AKT pathway is critical in various cancer processes, such as proliferation, apoptosis, invasion, and drug resistance. Breast cancer stem cells (BCSCs) and stemness genes also contribute to tumor growth and therapy resistance. Therefore, targeting key regulatory regions in the HER2 gene could offer potential therapeutic strategies. Objectives: In this study, we aimed to investigate the regulatory role of a putative enhancer located in the HER2 gene in the 17q12 region (GH17J039694; we referred to it as Her2-Enhancer1 in our previous study) on HER2 variants and genes that are connected to it through different pathways. Methods: We analyzed the effects of enhancer knockout on HER2 variants, GAS5, PTEN, and stemness genes in HER2-positive and HER2-negative breast cancer cells using the CRISPR/Cas9 system and real-time PCR. Results: Our results showed significantly reduced HER2 variant expression in both cell lines after genetic editing. Furthermore, the expression of some other target genes was affected, including GAS5, P53, and PTEN. Interestingly, we observed altered expression of stemness genes like NANOG, SOX2, and OCT4, indicating possible implications for cancer stem cell properties. Conclusions: Our study highlights the potential regulatory role of the studied region as an enhancer in the HER2 gene and sheds light on its influence on various cancer-related pathways, providing valuable insights into breast cancer pathogenesis and potential therapeutic targets.

D-arabinose induces cell cycle arrest by promoting autophagy via p38 MAPK signaling pathway in breast cancer

Breast cancer patients often have a poor prognosis largely due to lack of effective targeted therapy. It is now well established that monosaccharide enhances growth retardation and chemotherapy sensitivity in tumor cells. We investigated whether d-arabinose has capability to restrict the proliferation of tumor cells and its mechanism. Here, we report that d-arabinose induced cytotoxicity is modulated by autophagy and p38 MAPK signaling pathway in breast cancer cell lines. The proliferation of cells was evaluated by CCK-8 and Colony formation assay. The distribution of cells in cell cycle phases was analyzed by flow cytometry. Cell cycle, autophagy and MAPK signaling related proteins were detected by western blotting. Mouse xenograft model was used to evaluate the efficacy of d-arabinose in vivo. The proliferation of cells was dramatically inhibited by d-arabinose exposure in a dose-dependent manner, which was relevant to cell cycle arrest, as demonstrated by G2/M cell cycle restriction and ectopic expression of cell cycle related proteins. Mechanistically, we further identified that d-arabinose is positively associated with autophagy and the activation of the p38 MAPK signaling in breast cancer. In contrast, 3-Ma or SB203580, the inhibitor of autophagy or p38 MAPK, reversed the efficacy of d-arabinose. Additionally, d-arabinose in vivo treatment could significantly inhibit xenograft growth of breast cancer cells. Our findings were the first to reveal that d-arabinose triggered cell cycle arrest by inducing autophagy through the activation of p38 MAPK signaling pathway in breast cancer cells.

Abstract PO5-13-10: Determining tumor-driving cell signaling pathways in breast cancer: Support for targeted therapy selection

Abstract Introduction: Success of therapeutic interventions largely rely on the pathological and biological characteristics of the tumor and varies due to the heterogeneous nature of breast cancers. Signal transduction pathways play an important role and are often used as target for specific therapies like hormone treatment, PI3K inhibitors etc. Immunohistochemistry (IHC) is currently the first assessment to divide tumors for subtyping and treatment and, especially in more advanced disease, mutation analyses are often used. Both IHC and mutation analyses only analyze a specific part of a signal transduction pathway and do not correlate well with outcome. Therefore, there is a need for new approaches to look at signaling pathways in cancer. We have developed a methodology that measures and quantifies signal transduction pathways (STPs) activities to reveal potential tumor-driving STPs to identify new options for targeted therapy in breast cancer. Method: Using the mRNA-based OncoSIGNal pathway activity profiling qPCR test (InnoSIGN), STP activities of 7 pathways (AR, ER, PI3K, MAPK, HH, TGFβ and Notch) were measured and quantified on a scale from 0-100. By using a set of non-tumor epithelial breast tissue samples, a reference range for normal physiological pathway activity was defined. A threshold was set on the 95th percentile of this range. A pathway activity score above this threshold was considered to be high (activated). Using this methodology, 201 ER positive (based on IHC) and 64 triple negative FFPE breast tumor samples obtained from different study sites and commercial biobanks were analyzed, including samples from primary and metastatic lesions, to determine for each individual tumor its pathway activity profile and identify activated tumor-driving pathways. Results: In the 195 primary ER positive tumors, the ER pathway was found to be activated in 78% of the samples, even though all samples were strongly ER immunohistochemistry stain positive. In addition to ER pathway activation, occasionally other pathways were activated: PI3K in 37%, HH in 25%, MAPK in 19%, AR in 20%, TGFβ in 6%, and Notch in 1%, of these samples. Analysis of 27 metastatic samples of ER positive tumors revealed in only 63% an active ER pathway. Additionally, more frequently PI3K pathway was observed in 70% of the samples. Other frequencies of pathway activation were: AR in 7% and MAPK in 4%, No Notch and TGFβ activity was found in this cohort. In 76 of the 78 triple negative tumors (TNBC) the ER pathway was inactive as expected. Remarkably, 2 samples appeared to have an activated ER pathway. An activated MAPK pathway was found in 50%, PI3K in 49%, HH in 18%, AR in 14%, TGFβ in 5% and Notch in 3% of these TNBC tumors. Conclusion: Compared to ER positive primary tumors we observed in metastatic ER positive tumors less frequent activation of the ER and more frequent activation of the PI3K pathway, suggesting that the latter pathway is associated with a more aggressive tumor phenotype. The triple negative subtype is characterized predominantly by activation of the PI3K, MAPK, AR and/or HH pathways, which may create new options for personalized targeted therapy of this subtype. OncoSIGNal can be used to determine the tumor driving signaling pathways in breast cancer patients, guiding selection of personalized targeted therapies. Citation Format: Paul van de Wiel, Yvonne Wesseling-Rozendaal, Anke Pierik, Dianne van Strijp, Saskia Vermeer, Fatema Tashrifwala, Josette Hartnett, Robert Babkowski, Suzanne Rose. Determining tumor-driving cell signaling pathways in breast cancer: Support for targeted therapy selection [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-13-10.

Abstract PO2-01-13: Clinico-Pathological and Molecular Characterization of Early Hormone Receptor-Positive Breast Cancer in Young Women

Abstract Introduction Premenopausal women diagnosed with hormone receptor-positive (HR+)/HER2-negative (HER2-) early breast cancer (EBC) face a significantly higher risk of cancer recurrence and mortality compared to older women, particularly those diagnosed under the age of 40. The underlying causes behind this disparity remain largely unknown. Material and methods We retrospectively select tumour samples from patients (pts) diagnosed with HR+/HER2- EBC at Hospital Clinic (Barcelona, Spain) from May 2014 to March 2020 who had a PAM50/Prosigna assay (Veracyte) previously performed. This assay examines the expression of 50 genes involved in important breast cancer signaling pathways, as well as the intrinsic subtypes (IS) and the Risk of Recurrence (ROR) score. Our primary objective was to compare the distinct clinicopathological and molecular characteristics of HR+/HER2- EBC between two age groups: patients under 40 years old (Young EBC or YEBC) and those 40 years old and above (Older EBC or OEBC). Disease-free survival (DFS) was defined as the time between diagnosis and the first recurrence. Comparisons between groups were carried out using chi-square tests (categorical variables). Additionally, we performed a two-class unpaired Significance Analysis of Microarrays (SAM) with a false discovery rate (FDR) less than 5% to identify genes with significantly different expression between YEBC and OEBC. The statistical significance level was set at less than 0.05. Results A total of 441 tumor samples from 420 patients were included in the analysis, with 5% (22/441) corresponding to YEBC. With a median follow-up of 64.5 months, there were 20 breast cancer (BC) recurrences (4.8%), 12 second cancers (2.9%) and 5 BC-related deaths (1.2%), all occurring in the OEBC group. Table 1 provides an overview of the main clinico-pathological and molecular characteristics. YEBC tended to have larger tumors, with 45.5% (10/22) measuring over 2 cm compared to 36.1% (151/419) in OEBC (p=0.376). YEBC also had a higher proportion of grade 3 tumors (18.18% versus 3.1% in OEBC, p=0.418) and lower expression of estrogen receptor (ER) as determined by immunohistochemistry (mean of 72.28% vs 88.36%, p=0.004). Regarding the PAM50 IS, there was a difference observed between YEBC and OEBC (p < 0.001). Specifically, YEBC patients exhibited a tendency towards a higher proportion of Luminal B tumors (54.6% versus 38.9% in OEBC, p=0.144), as well as non-Luminal subtypes such as Basal-like (18.2% versus 0.95% in OEBC, p< 0.001) and HER2E (4.6% versus 0.7% in OEBC, p=0.186). YEBC tended to have higher ROR (p=0.167), and to receive chemotherapy in a higher proportion, especially in the intermediate-risk group (p=0.004). In YEBC tumours, SAM analysis (p < 0.05) showed an overexpression of genes mainly related with proliferation (i.e., RRM2, MELK, MIK67), cell cycle progression (i.e., KNTC2, CDC20, MYBL2) and apoptosis inhibition (i.e., BIRC5). In OEBC there were an overexpression of genes related with the oestrogen receptor-signalling pathway (i.e., ESR1, NAT1, FOXA1, PGR). Luminal B tumours in YEBC showed an upregulation of genes related to proliferation, migration, and poor prognosis (i.e., KRT17, KRT5) compared to OEBC. However, since there were no recurrences in the YEBC group, differences in terms of DFS between the groups could not be calculated. Principio del formulario Final del formulario Conclusions YEBC exhibited a more advanced stage and a more aggressive intrinsic phenotype compared to OEBC. Additionally, these tumors showed a tendency to upregulate genes involved in proliferation, cell cycle progression, and survival, while downregulating genes related to hormone signaling pathways. These molecular characteristics may help explain the worse prognosis of YEBC compared to OEBC. However, further research is necessary to delve into the differential genomic characteristics that contribute to the unfavorable prognosis observed in patients diagnosed with HR+ EBC before the age of 40. Key clinical and molecular features in 441 biopsies Citation Format: Francisco Javier Muñoz-Carrillo, José Antonio Sola, Carme Crous, Esther Sanfeliu, Isabel Garcia-Fructuoso, Elia Seguí, Teresa Gorría, Raquel Gómez-Bravo, Barbara Adamo, Tomás Pascual, Olga Martínez-Sáez, Francesco Schettini, Pablo Rivera, Rosalía Cayuela, Montserrat Muñoz, Núria Chic, Maria Vidal. Clinico-Pathological and Molecular Characterization of Early Hormone Receptor-Positive Breast Cancer in Young Women [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-01-13.

The PI3K/AKT/mTOR signaling pathway in breast cancer: Review of clinical trials and latest advances.

Breast cancer (BC) is the most commonly diagnosed cancer and the leading cause of cancer mortality in women. As the phosphatidylinositol 3-kinase (PI3K) signaling pathway is involved in a wide range of physiological functions of cells including growth, proliferation, motility, and angiogenesis, any alteration in this axis could induce oncogenic features; therefore, numerous preclinical and clinical studies assessed agents able to inhibit the components of this pathway in BC patients. To the best of our knowledge, this is the first study that analyzed all the registered clinical trials investigating safety and efficacy of the PI3K/AKT/mTOR axis inhibitors in BC. Of note, we found that the trends of PI3K inhibitors in recent years were superior as compared with the inhibitors of either AKT or mTOR. However, most of the trials entering phase III and IV used mTOR inhibitors (majorly Everolimus) followed by PI3K inhibitors (majorly Alpelisib) leading to the FDA approval of these drugs in the BC context. Despite favorable efficacies, our analysis shows that the majority of trials are utilizing PI3K pathway inhibitors in combination with hormone therapy and chemotherapy; implying monotherapy cannot yield huge clinical benefits, at least partly, due to the activation of compensatory mechanisms. To emphasize the beneficial effects of these inhibitors in combined-modal strategies, we also reviewed recent studies which investigated the conjugation of nanocarriers with PI3K inhibitors to reduce harmful toxicities, increase the local concentration, and improve their efficacies in the context of BC therapy.

The effect of ginger extract on expression of Gli1 and Patched-1 genes involved in breast cancer signaling pathway under in vitro condition

Introduction and Aim: Breast cancer ranks among the leading causes of death in women worldwide. Ginger has shown potential efficacy against certain cancer types, surpassing conventional therapies such as chemotherapy and radiation. However, its molecular mechanisms remain less understood. Materials and Methods: In this study, MCF-7 cancer cells were cultured and treated with various concentrations of aqueous ginger extract (20, 30, 45, 65 microgram/mL) for 12, 48, and 72 hours. The effects were assessed through gene expression analysis and cell vitality assays (MTT). Results: The cell vitality test revealed a direct correlation between cytotoxicity and extract concentration. Concentrations exceeding 30 microgram/mL exhibited significant cell death (IC50 of 104.03 microgram/mL). Gene expression analysis demonstrated an increase in Patched-1 and a decrease in Gli1 expression with rising extract concentrations. The maximum Patched-1 expression occurred at 65 microgram/mL after 72 hours. Patched-1 (oncogene) and Gli1 (tumor suppressor) are pivotal genes in the hedgehog (Hh) signalling pathway associated with breast cancer. Conclusion: It appears that ginger compounds play a substantial role in regulating cancer progression by influencing key components of the hedgehog signalling pathway.

Abstract 7381: Mathematical modeling and validation of mechanistic target of rapamycin and N-myristoyltransferase signaling pathways in breast cancer

Abstract Hormone receptor-positive (HR+) breast cancer (BC) makes up approximately 65% of all breast cancers diagnosed. The prognosis for early-stage disease is excellent with mainstay endocrine therapy (ET). Despite the effectiveness of standard ET, as many as 41% of HR+ early-stage BC diagnosed women will experience distant recurrence. The resistance to endocrine therapy and recurrence is partly attributed to the activation of the insulin pathway and the independence of HR+ BC cells on the ER pathway for their growth. Earlier, we demonstrated the crosstalk between insulin/mTOR and ER pathways. N-myristoyltransferase (NMT) exists in humans in two paralogues (NMT1 and NMT2) that catalyze myristoylation reaction. Recent studies from our laboratory demonstrated that NMTs are downstream targets of insulin and ER pathways. In this study, we have designed mathematical models using differential equations to study the activation of the insulin pathway and its effect on NMT. The mathematical modeling incorporated the partition of cellular organelles and the sequential flow of information with cascades of equations representing signaling reactions. The activated mathematical model was designed by activating the insulin receptor (IR) or insulin-like growth factor receptor (IGF1R) and compared with the control model. The mathematical models were validated by wet lab experiments. The HR+ BC cells (MCF7) were treated with insulin or IGF1 for short term and long term. The expression patterns of NMT1, NMT2, and mTOR were determined by cell fractionation and western blot analysis. The results revealed the correlation between the differential expression patterns of NMTs and the proliferation of MCF7 cells when the insulin pathway was activated by insulin or IGF. The mathematical modeling was validated by simulations and data fittings. The results demonstrated that differential equation-based mathematical modeling could predict the NMT-related oncogenic changes in HR+ BC cells. Citation Format: Abinash Meher, Shailly Varma Shrivastav, Anouska Agarwal, Sheen Dube, Stephanie Portet, Anuraag Shrivastav. Mathematical modeling and validation of mechanistic target of rapamycin and N-myristoyltransferase signaling pathways in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7381.

Boolean modeling of breast cancer signaling pathways uncovers mechanisms of drug synergy.

Breast cancer is one of the most common types of cancer in females. While drug combinations have shown potential in breast cancer treatments, identifying new effective drug pairs is challenging due to the vast number of possible combinations among available compounds. Efforts have been made to accelerate the process with in silico predictions. Here, we developed a Boolean model of signaling pathways in breast cancer. The model was tailored to represent five breast cancer cell lines by integrating information about cell-line specific mutations, gene expression, and drug treatments. The models reproduced cell-line specific protein activities and drug-response behaviors in agreement with experimental data. Next, we proposed a calculation of protein synergy scores (PSSs), determining the effect of drug combinations on individual proteins' activities. The PSSs of selected proteins were used to investigate the synergistic effects of 150 drug combinations across five cancer cell lines. The comparison of the highest single agent (HSA) synergy scores between experiments and model predictions from the MDA-MB-231 cell line achieved the highest Pearson's correlation coefficient of 0.58 with a great balance among the classification metrics (AUC = 0.74, sensitivity = 0.63, and specificity = 0.64). Finally, we clustered drug pairs into groups based on the selected PSSs to gain further insights into the mechanisms underlying the observed synergistic effects of drug pairs. Clustering analysis allowed us to identify distinct patterns in the protein activities that correspond to five different modes of synergy: 1) synergistic activation of FADD and BID (extrinsic apoptosis pathway), 2) synergistic inhibition of BCL2 (intrinsic apoptosis pathway), 3) synergistic inhibition of MTORC1, 4) synergistic inhibition of ESR1, and 5) synergistic inhibition of CYCLIN D. Our approach offers a mechanistic understanding of the efficacy of drug combinations and provides direction for selecting potential drug pairs worthy of further laboratory investigation.

A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer

BackgroundPrioritizing candidate drugs based on genome-wide expression data is an emerging approach in systems pharmacology due to its holistic perspective for preclinical drug evaluation. In the current study, a network-based approach was proposed and applied to prioritize plant polyphenols and identify potential drug combinations in breast cancer. We focused on MEK5/ERK5 signalling pathway genes, a recently identified potential drug target in cancer with roles spanning major carcinogenesis processes.ResultsBy constructing and identifying perturbed protein–protein interaction networks for luminal A breast cancer, plant polyphenols and drugs from transcriptome data, we first demonstrated their systemic effects on the MEK5/ERK5 signalling pathway. Subsequently, we applied a pathway-specific network pharmacology pipeline to prioritize plant polyphenols and potential drug combinations for use in breast cancer. Our analysis prioritized genistein among plant polyphenols. Drug combination simulations predicted several FDA-approved drugs in breast cancer with well-established pharmacology as candidates for target network synergistic combination with genistein. This study also highlights the concept of target network enhancer drugs, with drugs previously not well characterised in breast cancer being prioritized for use in the MEK5/ERK5 pathway in breast cancer.ConclusionThis study proposes a computational framework for drug prioritization and combination with the MEK5/ERK5 signaling pathway in breast cancer. The method is flexible and provides the scientific community with a robust method that can be applied to other complex diseases.

Superbinder based phosphoproteomic landscape revealed PRKCD_pY313 mediates the activation of Src and p38 MAPK to promote TNBC progression

Phosphorylation proteomics is the basis for the study of abnormally activated kinase signaling pathways in breast cancer, which facilitates the discovery of new oncogenic agents and drives the discovery of potential targets for early diagnosis and therapy of breast cancer. In this study, we have explored the aberrantly active kinases in breast cancer development and to elucidate the role of PRKCD_pY313 in triple negative breast cancer (TNBC) progression. We collected 47 pairs of breast cancer and paired far-cancer normal tissues and analyzed phosphorylated tyrosine (pY) peptides by Superbinder resin and further enriched the phosphorylated serine/threonine (pS/pT) peptides using TiO2 columns. We mapped the kinases activity of different subtypes of breast cancer and identified PRKCD_pY313 was upregulated in TNBC cell lines. Gain-of-function assay revealed that PRKCD_pY313 facilitated the proliferation, enhanced invasion, accelerated metastasis, increased the mitochondrial membrane potential and reduced ROS level of TNBC cell lines, while Y313F mutation and low PRKCD_pY313 reversed these effects. Furthermore, PRKCD_pY313 significantly upregulated Src_pY419 and p38_pT180/pY182, while low PRKCD_pY313 and PRKCD_Y313F had opposite effects. Dasatinib significantly inhibited the growth of PRKCD_pY313 overexpression cells, and this effect could be enhanced by Adezmapimod. In nude mice xenograft model, PRKCD_pY313 significantly promoted tumor progression, accompanied by increased levels of Ki-67, Bcl-xl and Vimentin, and decreased levels of Bad, cleaved caspase 3 and ZO1, which was opposite to the trend of Y313F group. Collectively, the heterogeneity of phosphorylation exists in different molecular subtypes of breast cancer. PRKCD_pY313 activates Src and accelerates TNBC progression, which could be inhibited by Dasatinib.

Transforming growth factor-induced gene TGFBI is correlated with the prognosis and immune infiltrations of breast cancer

BackgroundTransforming growth factor β (TGFβ) is a critical regulator of lung metastasis of breast cancer and is correlated with the prognosis of breast cancer. However, not all TGFβ stimulated genes were functional and prognostic in breast cancer lung metastatic progress. In this study, we tried to determine the prognosis of TGFβ stimulated genes in breast cancer.MethodsTGFβ stimulated genes in MDA-MB-231 cells and lung metastasis-associated genes in LM2-4175 cells were identified through gene expression microarray. The prognosis of the induced gene (TGFBI) in breast cancer was determined through bioinformatics analysis and validated using tissue microarray. The immune infiltrations of breast cancer were determined through “ESTIMATE” and “TIMER”.ResultsTGFBI was up-regulated by TGFβ treatment and over-expressed in LM2-4175 cells. Through bioinformatics analysis, we found that higher expression of TGFBI was associated with shorted lung metastasis-free survival, relapse-free survival, disease-free survival, and overall survival of breast cancer. Moreover, the prognosis of TGFBI was validated in 139 Chinese breast cancer patients. Chinese breast cancer patients with higher TGFBI expression had lower overall survival. Correspondingly, breast cancer patients with higher TGFBI methylation had higher overall survival. TGFBI was correlated with the score of the TGFβ signaling pathway and multiple immune-related signaling pathways in breast cancer. The stromal score, immune score, and the infiltrations of immune cells were also correlated with TGFBI expression in breast cancer.ConclusionsTGFβ-induced gene TGFBI was correlated with the prognosis and immune infiltrations of breast cancer.

Targeting the Key Signaling Pathways in Breast Cancer: From Molecular Mechanism to Therapeutic Interventions.

Breast cancer is a public health issue in developing and developed countries. Nowadays, the concept of BCSC (breast cancer stem cell) is gaining popularity among oncology researchers. The breast cancer stem cell is a tiny cell fraction inside the tumor mass that shows features that look like stem cells that are implicated in the genesis, recurrence, and metastasis of breast cancer tumors. Extracellular cues, mutations, and epigenetic control all contribute to the intricacy of gene expression control in Breast cancer stem cells. Thus, signaling pathways identified in breast cancer are Hedgehog and NOTCH, signal transducer and transcription 3, wingless-type MMTV integration site family (Wnt)/-catenin, and nuclear factor-kappa B, particularly connected with a phenotype of stem cell. Furthermore, the tumor microenvironment, such as hypoxic regions, can impact these BCSCs. Various approved signaling pathway targeted molecules have been patented, which show protective effects against breast cancer and have been used in clinical uses. PARP inhibitors are found to be very useful in the treatment of breast cancer. Promoting studies on the molecular pathways underlying the development of cancer in breast cancer patients was one of the main objectives of this study topic. The objective of this review Topic was to discover new intrinsic and extrinsic molecular pathways. Research focusing on novel signaling pathways that may lead to novel treatments or identifying patients at-risk of not responding to standard therapy approaches were the areas of focus we highlighted. The paper covers the linkage between breast cancer stem cells and cellular signaling, the tumor microenvironment in BC, and the relevance of signaling pathways and their therapeutic interventions. The review also covered patent applications associated with these signaling pathways and their prospects.

Enhanced anticancer synergy of LOM612 in combination with selinexor: FOXO1 nuclear translocation-mediated inhibition of Wnt/β-catenin signaling pathway in breast cancer.

The intricate relationship between Forkhead box O1 (FOXO1), a well-established tumor suppressor, and breast cancer (BC) remains partially elucidated. This study aims to investigate the mechanistic role of FOXO1 nuclear localization in the context of BC. In vitro experiments employed BC cell lines MCF-7 and MDA-MB-175 treated with LOM612, a small molecule activator of FOXO nuclear-cytoplasmic shuttling, and selinexor, an exportin 1 inhibitor. Nuclear accumulation of FOXO1, its interaction with β-catenin, and expressions of key proteins like V-Myc avian myelocytomatosis viral oncogene homolog (c-Myc), cyclin D1 and apoptosis markers were assessed. In vivo, the effects of LOM612 and selinexor were studied using MCF-7 cell-derived xenografts (CDX). Treatment with LOM612 exhibited a significant enhancement in nuclear accumulation of FOXO1 within BC cells. This effect coincided with suppressed migratory behavior and heightened apoptosis susceptibility in these cells. Mechanistically, LOM612 orchestrated FOXO1 to compete with transcription factors (TCF) for binding to β-catenin in the nucleus, leading to reduced c-Myc and cyclin D1 expressions, along with elevated levels of apoptosis-related proteins. Similar trends were observed in CDX models, where LOM612 effectively suppressed tumor growth, increased FOXO1 nuclear localization, and downregulated c-Myc and cyclin D1 expressions. Importantly, selinexor synergistically reinforced the therapeutic effects of LOM612 both in vitro and in vivo. Collectively, this study underscores the potential of combining LOM612 and selinexor as an efficacious anti-BC strategy. The underlying mechanism involves FOXO1's nuclear translocation, which disrupts TCF-β-catenin interactions, thus indirectly inhibiting the Wnt/β-catenin signaling pathway.

DPM2 serve as novel oncogene and prognostic marker transactivated by ESR1 in breast cancer.

Breast cancer (BRCA) is the most common malignancies worldwide with increasing rate. Dolichol phosphate mannose synthase (DPMS) is a critical mannosyltransferase involved in the posttranslational modification of proteins. At present, there is limited knowledge regarding the function of DPMS in breast cancer. In this study, silica analysis in multiple datasets found that dolichyl-phosphate mannosyltransferase subunit 2 (DPM2) is an unfavorable prognostic marker, suggesting its oncogenic role. Cell counting kit-8 and apoptosis assays show that DPM2-silenced cancer cells exhibit decreased growth potential and enhanced cell death rate. Further, transwell and wound healing assays show reduced invasion and migration capabilities in DPM2 knockdown groups, xenograft nude mice model demonstrated smaller tumor volume in DPM2 silenced BC cells. Then, the underlying downstream mechanism of DPM2 in BC was predicted and analyzed, highlighting classical tumorigenic pathways like JAK/STAT signaling pathway and oxidative phosphorylation activated in the cancer group. Finally, ChIP-seq analysis, expression correlation analysis, inhibitor treatment, and dual luciferase assays show that DPM2 is transcriptionally activated by estrogen receptor1 (ESR1). The results show that high expression of DPM2 mRNA is significantly correlated with shorter overall survival (OS) and disease-free survival (DFS) in breast cancer patients, and in vitro knockdown of DPM2 can significantly inhibit the malignant phenotypes of cells, including proliferation, invasion, migration, and apoptosis. These results suggest that DPM2 may play an important role in breast cancer. Altogether, we first uncovered the tumorigenic and prognostic role of DPM2 in breast cancer, cellular assays, and bioinformatics analysis highlighted DPM2 as oncogene via inhibited cancer-related signaling pathways in breast cancer. Besides, DPM2 is transcriptionally activated by ESR1, the signaling axis of ESR1/DPM2 provides a new strategy for BC-targeted therapy.

β-eudesmol inhibits cell proliferation and induces ferroptosis via regulating MAPK signaling pathway in breast cancer

The aim of this study was to explore the influences and underlying mechanisms of β-eudesmol on breast cancer (BC). Different concentrations of β-eudesmol (0, 10, 20, and 40 μM) were taken to treat BC cells. Cell Counting Kit-8, colony formation assay, and flow cytometry were performed to evaluate the influences of β-eudesmol on cell viability, proliferation, and apoptosis. To assess the influences of β-eudesmol on cell ferroptosis, the change of ROS, SOD, MDA, and intracellular iron and Fe2+ were determined. The protein changes of apoptosis, ferroptosis, and MAPK pathway (Bcl-2, Bax, cleaved caspase-3, SLC7A11, GPX4, SLC40A1, Transferrin, MEK1, and ERK1/2) were checked utilizing Western blot. In a concentration-dependent manner, β-eudesmol restrained cell viability and proliferation. β-eudesmol promoted cell apoptosis, as evidenced by the decline level of Bcl-2 and the raised level of Bax and cleaved caspase-3. β-eudesmol enhanced the level of ROS, MDA, iron, Fe2+, and Transferrin, and lessened SOD activity and the protein expression of SLC7A11, GPX4, SLC40A1, MEK1, and ERK1/2. Moreover, ferroptosis inhibitor Fer-1 and MEK1 overexpression both reversed the changes on cell proliferation, apoptosis, and ferroptosis induced by β-eudesmol. β-eudesmol inhibited cell proliferation and promoted cell apoptosis and ferroptosis via regulating MAPK pathway in BC.

The prognostic significance of KLRB1 and its further association with immune cells in breast cancer.

Killer cell lectin-like receptor B1 (KLRB1) is an important member of the natural killer cell gene family. This study explored the potential value of KLRB1 as a breast cancer (BC) biomarker and its close association with the tumor immune microenvironment during the development of BC. We examined the differential expression of KLRB1 in pan-cancer. Clinical and RNA-Seq data from BC samples were evaluated in The Cancer Genome Atlas (TCGA) and validated in Gene Expression Omnibus (GEO) datasets and by immunohistochemistry (IHC) staining. The relationship between KLRB1 and clinical parameters was explored through Chi-square tests. The diagnostic value of KLRB1 was evaluated using a receiver operating characteristic (ROC) curve. Survival analysis was tested by Kaplan-Meier curves to demonstrate the relationship between KLRB1 and survival. Univariable and multivariate cox regression analyses were carried out as well. The analysis of immune infiltration level and gene set enrichment analysis (GSEA) were conducted to examine KLRB1's mechanism during the progression of BC. We used the Tumor Immune Estimation Resource (TIMER), the Cancer Single-cell Expression Map (CancerSCEM) database, the Tumor Immune Single-cell Hub (TISCH) database, and the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) method to explore KLRB1's association with immune infiltration level and different quantitative distribution of immune cells. The relevant signaling pathways in BC associated with KLRB1 were identified using GSEA. The expression of KLRB1 was downregulated across the majority of cancers including BC. The lower KLRB1 expression group exhibited shorter relapse free survival (RFS) and overall survival (OS). IHC staining showed that KLRB1 staining was weaker in breast tumor tissues than in paratumors. Additionally, GSEA identified several pathway items distinctly enriched in BC. KLRB1 expression level was also positively related to the infiltrating number of immune cells in BC. Moreover, the CancerSCEM and TISCH databases as well as the CIBERSORT method demonstrated the close relationship between KLRB1 and immune cells, particularly macrophages. Low KLRB1 expression was considered an independent prognostic biomarker and played an important role in the tumor immune microenvironment of BC patients.

HSPB1 facilitates chemoresistance through inhibiting ferroptotic cancer cell death and regulating NF-κB signaling pathway in breast cancer

Chemoresistance is one of the major causes of therapeutic failure and poor prognosis for breast cancer patients, especially for triple-negative breast cancer patients. However, the underlying mechanism remains elusive. Here, we identified novel functional roles of heat shock protein beta-1 (HSPB1), regulating chemoresistance and ferroptotic cell death in breast cancer. Based on TCGA and GEO databases, HSPB1 expression was upregulated in breast cancer tissues and associated with poor prognosis of breast cancer patients, which was considered an independent prognostic factor for breast cancer. Functional assays revealed that HSPB1 could promote cancer growth and metastasis in vitro and in vivo. Furthermore, HSPB1 facilitated doxorubicin (DOX) resistance through protecting breast cancer cells from drug-induced ferroptosis. Mechanistically, HSPB1 could bind with Ikβ-α and promote its ubiquitination-mediated degradation, leading to increased nuclear translocation and activation of NF-κB signaling. In addition, HSPB1 overexpression led to enhanced secretion of IL6, which further facilitated breast cancer progression. These findings revealed that HSPB1 upregulation might be a key driver to progression and chemoresistance through regulating ferroptosis in breast cancer while targeting HSPB1 could be an effective strategy against breast cancer.

Suppression of epithelial-mesenchymal transition and SIRT1/AKT signaling pathway in breast cancer by montelukast

Breast cancer is usually associated with metastatic features, poor prognosis, and high mortality. The epithelial-mesenchymal transition (EMT) process has been implicated in the initiation and metastasis of breast cancer. The study aimed to investigate the possible role of montelukast (Mont), the cysteinyl leukotriene receptor (CystLT1R) antagonist, in mitigating EMT in triple-negative breast cancer (TNBC) (in vitro study) and solid Ehrlich carcinoma (SEC) bearing mice (in vivo study) as well as to clarify the underlying molecular mechanisms in the presence and absence of sirtuin-1 inhibitor (sirtinol; Sirt). TNBC MDA-MB-231 cells were treated with either 5μM Mont or 25μM Sirt or both for 48h. Alternatively, SEC cells were inoculated in mice to induce breast cancer. After 12days, the mice were divided into four groups: Untreated SEC group (vehicle), Sirt group (1mg/kg), Mont group (10mg/kg), and cotreatment Sirt/Mont group. The mice groups received the assigned treatment for the consequent 16days. Mont and/or Sirt decreased cell proliferation, migration and suppressed EMT in both in vitro and in vivo experiments. All treatments downregulated sirtuin-1 and vimentin expression but upregulated E-cadherin expression. Furthermore, all treatments retarded angiogenesis as evidenced by decreased VEGF expression. These findings were associated with suppressing active protein kinase B (p-AKT). Cotreatment with Sirt and Mont proved more effective anti-tumor activity in TNBC cell line and in SEC bearing mice than either treatment alone, which could be attributed to the inhibition of sirtuin-1 and AKT- activated pathways, with the subsequent inhibition of EMT.

Tumor-derived exosomal miR-148b-3p mediates M2 macrophage polarization via TSC2/mTORC1 to promote breast cancer migration and invasion.

Emerging evidence has revealed that tumor-associated macrophages (TAMs) and exosomes play a crucial role in the microenvironment for tumor growth. However, the mechanisms through which exosomal miRNAs modulate TAMs and tumor development in breast cancer are not fully understood. We constructed a macrophage model and an indirect coculture system consist of breast cancer cells and macrophages. Exosomes were isolated from BC cells culture supernatant and identified by transmission electron microscopy, Western blot and Nanosight LM10 system. The expression of miR-148b-3p in exosomes was determined by qRT-PCR and the effect of exosomal miR-148b-3p on macrophage polarization was measured using qRT-PCR and ELISA. The proliferation, migration and invasion of BC cells were estimated by EdU, wound healing assay and transwell assay. We employed bioinformatics, luciferase reporter assay and Western blot to identify the target gene of miR-148b-3p. Western blot was used to clarify the mechanism of exosomal miR-148b-3p mediated the crosstalk between BC cells and M2 macrophages. Cancer-derived exosomes could induce M2 polarization of macrophages, which promoted the migration and invasion of breast cancer cells. We found that exosomal miR-148b-3p was overexpressed in breast cancer cell-derived exosomes and correlated with lymph node metastasis, late tumor stage and worse prognosis. Upregulated miR-148b-3p expression in exosomes modulated macrophage polarization by targeting TSC2, which promoted the proliferation and might affect migration and invasion of breast cancer cells. Interestingly, we found that exosomal miR-148b-3p could induce M2 macrophage polarization via the TSC2/mTORC1 signaling pathway in breast cancer. Overall, our study elucidated that miR-148b-3p could be transported by exosomes from breast cancer cells to surrounding macrophages and induced M2 polarization by targeting TSC2, providing novel insights for breast cancer therapy.

A Basic Review on Estrogen Receptor Signaling Pathways in Breast Cancer.

Breast cancer is the most common cancer and the deadliest among women worldwide. Estrogen signaling is closely associated with hormone-dependent breast cancer (estrogen and progesterone receptor positive), which accounts for two-thirds of tumors. Hormone therapy using antiestrogens is the gold standard, but resistance to these treatments invariably occurs through various biological mechanisms, such as changes in estrogen receptor activity, mutations in the ESR1 gene, aberrant activation of the PI3K pathway or cell cycle dysregulations. All these factors have led to the development of new therapies, such as selective estrogen receptor degraders (SERDs), or combination therapies with cyclin-dependent kinases (CDK) 4/6 or PI3K inhibitors. Therefore, understanding the estrogen pathway is essential for the treatment and new drug development of hormone-dependent cancers. This mini-review summarizes current literature on the signalization, mechanisms of action and clinical implications of estrogen receptors in breast cancer.