Treatment Of Breast Cancer Research Articles

K2FeO4-Enhanced Photodynamic Therapy of Breast Cancer via In Situ Synthesis of Fe2O3 and O2.

Photodynamic Therapy (PDT) offers a promising minimally invasive treatment for breast cancer, but its efficacy is limited by the hostile tumor microenvironment (TME), including hypoxia and high glutathione (GSH) levels. Although various strategies to improve oxygen concentration or reduce reactive oxygen species (ROS) resistance for enhanced PDT have been explored, they typically require intricate design and complex synthesis of multifunctional nanocarriers. Thus, this study introduces a facile K2FeO4-induced strategy to enhance PDT efficiency in breast cancer through the tumor in situ synthesis of Fe2O3 and O2. Inspired by the successful application of K2FeO4 in ecological remediation and hemostasis, K2FeO4 reacts with GSH, biological system, H2O2, and water, to generate Fe2O3 and O2. Intratumoral injection of K2FeO4 improves the TME, followed by Ce6 administration to enhance PDT through synergistic ferroptosis. This approach boosts PDT efficacy significantly by increasing ROS generation, lipid peroxidation, and inhibiting GSH and GPX4. Proteomic analysis revealed alterations in key pathways, including endocytosis and energy metabolism. This K2FeO4-PDT strategy creates a positive feedback loop by enhancing oxidative stress, providing an interesting and promising approach to PDT.

An in silico approach uncovering the competency of oncolytic human adenovirus 52 for targeted breast cancer virotherapy

Breast cancer remains a major health threat throughout the world specifically in women above 30 years of age however, it is rarely known to affect men as well. It is characterized by the abnormal division of cells in the breast tissue resulting in the development of breast malignancies. Various risk factors contributing to breast cancer include age, family history, genetic mutations (chiefly in BRCA1 and BRCA2 genes) along with hormonal imbalances (oestrogen, progesterone, HER2). Early detection which can be obtained through frequent rounds of self-examination, mammographic scanning, and clinical assessment plays a crucial role in the prevention of the disease. In addition, appropriate diagnosis assists in better therapeutic responses. This study highlights the considerable health risks associated with the conventional treatment procedures which arise and increased demand of advanced, secure, and risk-free treatment alternatives. Oncolytic viruses are potentially apparent for the aim of improving cancer therapeutics with reduced side effects. These viruses act as the fundamental therapeutic agent themselves that selectively target and kill malignant cells without harm to healthy tissues. The key objective of the research is to provide evidence that Human Adenovirus 52 is a potent oncolytic virus and to highlight its capacity to target and eliminate cancer cells with precision while causing the least amount of harm to healthy tissues. Validating the in-silico method entails evaluating the precision and dependability of the computational modelling by contrasting the in-silico predictions with the findings from the experiments rank as the secondary objective. The workflow of this research utilized in-silico computational drug designing approaches including retrieval of tertiary structures of both the target Breast Cancer Type 1 Susceptibility Protein (BRCA1) and the viral Human Adenovirus 52 protein, their validation generating Ramachandran Plots determining favoured amino acid residue angles and prediction of their active residues. Furthermore, the study focused on the molecular dynamics docking of proteins, interpretation of molecular interactions between the docked complex, as well as the assessment of the molecular dynamic simulations (MD) in addition to their MMGBSA binding energy calculations. A successful docking between BRCA1 and Adenovirus protein provided a significant score of 329.2 +/- 24.3, furthermore, MD simulations showed a high RMSD peak at 2.8 Å, RMSF were maximum at 3.5 Å with highest protein–protein interaction, the radius of gyration was stable throughout the simulation representing elastic stability along with a high energy interaction value of - 7882 kCal/mol. Moreover, the MMGBSA calculation results showed a notable release of binding free energy of - 68.96 kCal/mol demonstrating effective bond formation between the docked complex. These findings propose the effectiveness of Human Adenovirus 52 to treat cancer. The selected oncolytic Human Adenovirus 52 is a potential candidate for the target specific treatment of breast cancer through virotherapy. This computer-aided drug discovery presents significant potential in targeting cancer cells and would assist in the development of potent drug reagents for the cancer therapy.

Construction of a nomogram risk prediction model for depressive symptoms in elderly breast cancer patients

The primary objective of this study was to identify the factors associated with the development of depressive symptoms in elderly breast cancer (BC) patients and to construct a nomogram model for predicting these symptoms. We recruited 409 patients undergoing BC treatment in the breast departments of two tertiary-level hospitals in Jiangsu Province from November 2023 to April 2024 as our study cohort. Participants were categorized into depressed and non-depressed groups based on their clinical outcomes. Univariate and multivariate logistic regression analyses were employed to identify independent risk factors for depression among BC patients. Multivariate analysis revealed that monthly income, pain score, family support score, and physical activity score significantly influenced the onset of depression in older BC patients (P < 0.05).The risk prediction model, constructed using these identified factors, demonstrated excellent discriminatory power, as evidenced by an area under the ROC curve (AUC) of 0.824. The maximum Youden index was 0.627, with a sensitivity of 90.60%, specificity of 72.10%, and a diagnostic threshold value of 1.501. The results of the Hosmer-Lemeshow goodness-of-fit test (χ² = 3.181, P = 0.923) indicated that the model fit the data well. The calibration curve for the model closely followed the ideal curve, suggesting a strong fit and high predictive accuracy. Our nomogram model exhibited superior predictive performance, enabling healthcare professionals to identify high-risk patients early and implement preventative measures to mitigate the development of depressive symptoms. This study is a cross-sectional study that lacks longitudinal data and has a small sample size. Future research could involve larger samples, multicenter studies, and prospective designs to build better clinical predictive models.

Inhibitors of the mTOR signaling pathway can play an important role in breast cancer immunopathogenesis.

This study explores the critical role of inhibitors targeting the mammalian target of rapamycin (mTOR) signaling pathway in breast cancer research and treatment. The mTOR pathway, a central regulator of cellular processes, has been identified as a crucial factor in the development and progression of breast cancer. The essay explains the complex molecular mechanisms through which mTOR inhibitors, such as rapamycin and its analogs, exert their anticancer effects. These inhibitors can stop cell growth, proliferation, and survival in breast cancer cells by blocking critical signaling pathways within the mTOR pathway. Furthermore, the essay discusses the implications of using mTOR inhibitors as a comprehensive therapeutic strategy. It emphasizes the potential benefits of combining mTOR inhibitors with other treatment approaches to enhance the effectiveness of breast cancer treatment. The evolving landscape of breast cancer research underscores the significance of mTOR as a therapeutic target and highlights ongoing efforts to improve and optimize mTOR inhibitors for clinical use. In conclusion, the essay asserts that inhibitors of the mTOR signaling pathway offer a promising approach in the fight against breast cancer. These inhibitors provide a focused and effective intervention targeting specific dysregulations within the mTOR pathway. As research advances, the integration of mTOR inhibitors into customized combination therapies holds excellent potential for shaping a more effective and personalized approach to breast cancer treatment, ultimately leading to improved outcomes for individuals affected by this complex and diverse disease.

3D bioheat transfer mapping reveals nanomagnetic particles effectiveness in radiofrequency hyperthermia breast cancer treatment comparing to experimental study

Radiofrequency (RF) hyperthermia has been widely used for tumor ablation since magnetic-fluid-hyperthermia (MFH) can be utilized for increasing temperature in tumor-region as a complementary-method for hyperthermia. In this study, the effectiveness of using the magnetite-nanoparticles (Fe3O4) in RF hyperthermia for breast cancer (BC) treatment by determining 3D-temperature-distribution using bioheat-transfer-mapping was evaluated. A breast-phantom with a tumor region was placed in an RF-device with 13.56 MHz frequency in different states (with and without-nanomagnetite). Parallelly, the calculations of the RF-wave and bioheat-equation were accomplished by numerical-simulation and finite-element-method (FEM) in COMSOL-software. The temperature differences were experimentally measured at different points of the phantom with a precision of 0.1 °C, with temperature of 3.6 °C and 6.1 °C in without and with nanomagnetic conditions in tumor area, respectively, and also for normal area with temperature of 1.8 °C and 1.9 °C in non-presence and presence states of 0.05 gr magnetite for both conditions, respectively. Moreover, the difference between the simulation and the experimental results was 0.54–1.1 %. The conformity between temperature measurement in experimental and simulation studies in tumor and normal areas showed the effectiveness of the application of MNPs for RF hyperthermia in tissue equivalent breast phantom. Finally, the positive effect of 0.05 gr of MNPs on BC treatment was confirmed.

Review on Natural Agents as Aromatase Inhibitors: Management of Breast Cancer.

Breast cancer is a prevalent type of cancer that is typically hormone-dependent, caused by estrogen. Aromatase inhibitors are frequently utilised in the treatment of hormonereceptor- positive breast cancer because they prevent the enzyme aromatase from converting androgens to estrogens. Natural medicines with aromatase inhibitory characteristics have attracted interest as potential alternatives or complementary therapy to manufactured medications. This review discusses the function of natural agents as aromatase inhibitors in treating breast cancer. A variety of natural compounds have been investigated for their capacity to inhibit aromatase activity and lower estrogen levels. These agents include resveratrol from red wine and grapes, curcumin from turmeric extract and green teahigh in catechins, and other flavonoids such as genistein, luteolin and quercetin. It has been demonstrated that by decreasing estrogen synthesis, they can slow the growth of breast cancer cells that are dependent on estrogen. However, the clinical evidence supporting their efficacy and safety in breast cancer treatment is inadequate. More research is required to investigate the therapeutic potential of natural medicines, such as aromatase inhibitors, in treating breast cancer. The clinical trials are required to assess their efficacy, appropriate doses, and potential interactions with other therapies. In conclusion, natural aromatase inhibitory drugs are promising adjuncts in the treatment of hormone receptor-positive breast cancer. Their clinical value and safety profile, however, require additional investigation.

The Effect of Coronavirus Pandemic on the Treatment of Gynecological and Breast Cancers

Introduction: During the COVID-19 pandemic, various groups, including women with cancer, were affected as a high-risk group in terms of disease diagnosis and treatment. Despite the importance of therapeutic changes in cancers, such as breast and gynecological cancer, there is no comprehensive study in this regard that also refers to the coronavirus. The need for a deep understanding of the impact of coronavirus on the treatment plan of this group of patients caused the researcher to design and implement this study that aims to investigate the treatment challenge among cancer patients during the COVID-19 pandemic. Materials and methods: To answer the study question, a comprehensive search was carried out in databases, such as PubMed, Web of Science Core Collection, and Scopus, using keywords, including cancer, gynecologic cancer, breast cancer, treatment, delay, and modification. Full-texted, English language and original articles were included in this study. Results: In total, 27 articles were selected for the study. The findings of this study revealed that COVID-19 greatly affects the treatment of gynecology and breast cancer. These patients experience delay or modification of cancer treatment. Increased time between diagnosis and treatment, delay, change or cancellation of surgery and change in treatment plan are the most important changes in cancer treatment during the COVID-19 pandemic. Conclusion: The COVID-19 pandemic has had a significant impact on various aspects of gynecology and breast cancer care worldwide. In the current pandemic, there has been a significant delay in the diagnosis and treatment of gynecological and breast cancer, which, due to its higher morbidity and mortality, has made the condition more difficult for cancer patients and treatment teams.

Evaluation of the Mechanism of Yishan Formula in Treating Breast Cancer Based on Network Pharmacology and Experimental Verification.

Yishan formula (YSF) has a significant effect on the treatment of breast cancer, which can improve the quality of life and prolong the survival of patients with breast cancer; however, its mechanism of action is unknown. In this study, network pharmacology and molecular docking methods have been used to explore the potential pharmacological effects of the YSF, and the predicted targets have been validated by in vitro experiments. Active components and targets of the YSF were obtained from the TCMSP and Swiss target prediction website. Four databases, namely GeneCards, OMIM, TTD, and DisGeNET, were used to search for disease targets. The Cytoscape v3.9.0 software was utilized to draw the network of drug-component-target and selected core targets. DAVID database was used to analyze the biological functions and pathways of key targets. Finally, molecular docking and in vitro experiments have been used to verify the hub genes. Through data collection from the database, 157 active components and 618 genes implicated in breast cancer were obtained and treated using the YSF. After screening, the main active components (kaempferol, quercetin, isorhamnetin, dinatin, luteolin, and tamarixetin) and key genes (AKT1, TP53, TNF, IL6, EGFR, SRC, VEGFA, STAT3, MAPK3, and JUN) were obtained. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that the YSF could affect the progression of breast cancer by regulating biological processes, such as signal transduction, cell proliferation and apoptosis, protein phosphorylation, as well as PI3K-Akt, Rap1, MAPK, FOXO, HIF-1, and other related signaling pathways. Molecular docking suggested that IL6 with isorhamnetin, MAPK3 with kaempferol, and EGFR with luteolin have strong binding energy. The experiment further verified that YSF can control the development of breast cancer by inhibiting the expression of the hub genes. This study showed that resistance to breast cancer may be achieved by the synergy of multiple active components, target genes, and signal pathways, which can provide new avenues for breast cancer-targeted therapy.

Simvastatin-loaded Gelatin-capped Polycaprolactone Nanoparticles for the Post-operative Management of Breast Cancer

Minimal residual disease at the tumor site after surgical ablation is a major cause for tumor recurrence and metastasis. The tropism of circulating tumor cells towards injured areas increases the risk of tumor recurrence. Recent studies have reported the inability of nanocarriers to penetrate the tumor site owing to short systemic half-life, high hydrostatic pressure, and inability to extravasate the tumor tissue. In this work, we developed simvastatin-loaded polycaprolactone - gelatin core-shell nanoparticles (SNP) for post-surgical management of breast cancer (BC). NP-loaded within the hyaluronic acid solution demonstrated shear thinning behavior (n=0.3089). SNP demonstrated cytotoxic potential in the 2-D cell culture and 3-D tumoroids of MDA-MB-231 cell line in vitro. JC-1 and rhodamine-123 based assays demonstrated the ability of SNP to induce mitochondrial membrane damage. Further, cell cycle analysis revealed that the SNP prevented the progression of cell line from G0/G1 to S-phase. Simvastatin and SNP induced early apoptosis in the MDA-MB-231 cell line. Scratch, invasion, migration, and clonogenic assays demonstrated the ability of SNP to prevent cell invasion and clonal expansion. Immunocytochemistry revealed that both SIM and SNP reduced the expression of anti-apoptotic protein BCL-2 in metastatic cell line. Overall, the developed formulation demonstrates enormous potential for the post-surgery management of BC.

ASO Author Reflections: Young Adults and Racial Minorities May Be at High Risk for Financial Toxicity After Breast Cancer Treatment.

ASO Author Reflections: Young Adults and Racial Minorities May Be at High Risk for Financial Toxicity After Breast Cancer Treatment.

Liposomes and Their Therapeutic Applications in Enhancing Psoriasis and Breast Cancer Treatments

Psoriasis and breast cancer are two examples of diseases where associated inflammatory pathways within the body’s immune system are implicated. Psoriasis is a complex, chronic and incurable inflammatory skin disorder that is primarily recognized by thick, scaly plaques on the skin. The most noticeable pathophysiological effect of psoriasis is the abnormal proliferation of keratinocytes. Breast cancer is currently the most diagnosed cancer and the leading cause of cancer-related death among women globally. While treatments targeting the primary tumor have significantly improved, preventing metastasis with systemic treatments is less effective. Nanocarriers such as liposomes and lipid nanoparticles have emerged as promising drug delivery systems for drug targeting and specificity. Advances in technologies and drug combinations have emerged to develop more efficient lipid nanocarriers to include more than one drug in combinational therapy to enhance treatment outcomes and/or relief symptoms for better patients’ quality of life. Although there are FDA-approved liposomes with anti-cancer drugs for breast cancer, there are still unmet clinical needs to reduce the side effects associated with those nanomedicines. Hence, combinational nano-therapy may eliminate some of the issues and challenges. Furthermore, there are no nanomedicines yet clinically available for psoriasis. Hence, this review will focus on liposomes encapsulated single and/or combinational therapy to augment treatment outcomes with an emphasis on the effectiveness of combinational therapy within liposomal-based nanoparticulate drug delivery systems to tackle psoriasis and breast cancer. This review will also include an overview of both diseases, challenges in delivering drug therapy and the roles of nanomedicines as well as psoriasis and breast cancer models used for testing therapeutic interventions to pave the way for effective in vivo testing prior to the clinical trials.

Real-time segmentation and classification of whole-slide images for tumor biomarker scoring

Histopathology image segmentation and classification are essential for diagnosing and treating breast cancer. This study introduced a highly accurate segmentation and classification for histopathology images using a single architecture. We utilized the famous segmentation architectures, SegNet and U-Net, and modified the decoder to attach ResNet, VGG and DenseNet to perform classification tasks. These hybrid models are integrated with Stardist as the backbone, and implemented in a real-time pathologist workflow with a graphical user interface. These models were trained and tested offline using the ER-IHC-stained private and H&E-stained public datasets (MoNuSeg). For real-time evaluation, the proposed model was evaluated using PR-IHC-stained glass slides. It achieved the highest segmentation pixel-based F1-score of 0.902 and 0.903 for private and public datasets respectively, and a classification-based F1-score of 0.833 for private dataset. The experiment shows the robustness of our method where a model trained on ER-IHC dataset able to perform well on real-time microscopy of PR-IHC slides on both 20x and 40x magnification. This will help the pathologists with a quick decision-making process.

Recent advances in microfluidic chip technologies for applications as preclinical testing devices for the diagnosis and treatment of triple-negative breast cancers

Recent advances in microfluidic chip technologies for applications as preclinical testing devices for the diagnosis and treatment of triple-negative breast cancers

LncRNA ZNF649-AS1 promotes trastuzumab resistance and TAM-dependent PD-L1 expression in breast cancer by regulating EXOC7 alternative splicing

BackgroundTrastuzumab resistance is a serious clinical problem in the treatment of HER2-positive breast cancer (BC). The lncRNA ZNF649-AS1 was previously found to promote HER2-positive BC trastuzumab resistance. The study aims to explore the molecular mechanism of ZNF649-AS1 in HER2-positive BC trastuzumab resistance. MethodsTumor tissue and peripheral blood samples were collected from 20 HER2-positive BC patients with trastuzumab-resistant and non-resistant, respectively. Trastuzumab-resistant BC cell lines SKBR-3-TR and BT474-TR were established. RIP was employed to confirm the binding of ZNF649-AS1, PRPF8 and exocyst complex component 7 (EXOC7). RNA expression of EXOC7-L (Full length of EXOC7) and EXOC7-S (Spliceosome of EXOC7) were detected using agarose gel electrophoresis. Expressions of macrophage markers CD68+ CD206+ were measured by flow cytometry. ResultsZNF649-AS1 expression was upregulated in HER2-positive BC trastuzumab resistance. ZNF649-AS1 downregulation inhibited trastuzumab resistance in HER2-positive BC. ZNF649-AS1 regulated EXOC7 alternative splicing by binding with PRPF8. EXOC7-S knockdown suppressed trastuzumab resistance and TAM-dependent PD-L1 expression in HER2-positive BC. EXOC7-S overexpression abolished the effects of ZNF649-AS1 knockdown on trastuzumab resistance and TAM-dependent PD-L1 expression in HER2-positive BC. ConclusionZNF649-AS1 promoted trastuzumab resistance and TAM-dependent PD-L1 expression in HER2-positive BC via promoting alternative splicing of EXOC7 by PRPF8.

Ischaemic cardiotoxicity of aromatase inhibitors in postmenopausal patients with early breast cancer in Denmark: a cohort study of real-world data

For aromatase inhibitor treatment (AIT) in breast cancer, there is an unresolved concern about ischaemic cardiotoxicity. We investigated the association between AIT and ischaemic cardiotoxicity in a prospective cohort of female patients with early breast cancer who received contemporary treatment in Denmark. In this prospective cohort study in Denmark, we identified postmenopausal patients of any age diagnosed with breast cancer as recorded in the nationwide Danish Breast Cancer Cooperative Group (DBCG) clinical database between Jan 1, 2009, and Dec 31, 2020, and linked them to other nationwide registries. Exclusion criteria included having a history of other primary cancer, less than 2 years of residency in Denmark, and no inclusion in a treatment protocol according to the DBCG database, including for metastatic or locally advanced breast cancer. Information on demography, hospital diagnoses, filled prescriptions, laboratory testing, and socioeconomic status were recorded. We stratified the patient cohort according to history (yes vs no) of selected cardiovascular disease defined as ischaemic heart disease, ischaemic stroke, and heart failure, and defined the primary outcome as two-point major adverse cardiovascular events (MACE; acute myocardial infarction or ischaemic stroke). We estimated cause-specific hazard ratios (HRs) according to allocation to AIT versus not in an intention-to-treat analysis using a Cox proportional hazards regression model with age as the underlying time scale, adjusting for demographic characteristics, tumour characteristics, and other anti-cancer treatments. 43 440 postmenopausal patients diagnosed with breast cancer were identified, of whom 32 635 were followed up and included in analyses. Of 29 118 postmenopausal patients with no history of selected cardiovascular disease, we observed 510 two-point MACEs among 22 135 patients allocated to AIT (incidence rate 4·3/1000 person-years of follow-up) and 170 two-point MACEs among 6983 patients not allocated to AIT (4·1/1000 person-years). The adjusted HR was 0·91 (95% CI 0·73-1·14) for patients allocated to AIT versus patients not allocated to AIT. Among 3517 patients with a history of selected cardiovascular disease, we observed 158 two-point MACEs among 2661 patients allocated to AIT (incidence rate 12·4/1000 person-years) and 50 two-point MACEs (12·1/1000 person-years) among 856 patients not allocated to AIT (adjusted HR 0·81 [95% CI 0·58-1·15]). Our findings do not support a clinically relevant ischaemic cardiotoxic potential of AIT in patients with early breast cancer and do not support avoiding AIT prescription in patients with early breast cancer. Bispebjerg and Frederiksberg Hospital, Kræftens Bekæmpelse, Fonden til Lægevidenskabens Fremme, Aase og Ejnar Danielsens Fond, Helsefonden, and Læge Sofus Carl Emil Friis og Hustru Olga Doris Friis' Legat.

BP04 Presentation Time: 4:27 PM: Intra-Operative Electronic Brachytherapy for the Treatment of Early-Stage Breast Cancer: Primary Endpoint Analysis of a Multi-Institution Trial

BP04 Presentation Time: 4:27 PM: Intra-Operative Electronic Brachytherapy for the Treatment of Early-Stage Breast Cancer: Primary Endpoint Analysis of a Multi-Institution Trial

Patient-reported observations on medical procedure timeliness (PROMPT) in breast cancer: a qualitative study.

Timeliness of care is an important healthcare outcome measure. The objective of this study was to explore patient perspectives on the timeliness of breast cancer diagnosis and treatment at accredited breast cancer centers. In this qualitative study, 1hour virtual interviews were conducted with participants 18-75years old who were diagnosed and treated for stage 0-III breast cancer at a National Accreditation Program for Breast Centers facility from 2018 to 2022. Thematic analysis was used to identify key themes of participant experiences. Twenty-eight participants were interviewed. Two thematic domains were identified: etiologies of expedited or delayed care and the impact of delayed or expedited care on patients. Within these domains, multiple themes emerged. For etiologies of expedited or delayed care, participants discussed (1) the effect of scheduling appointments, (2) the COVID-19 pandemic, (3) dissatisfaction with the timeline for various parts of the diagnostic workup, and (4) delays related to patient factors, including socioeconomic status. For the impact of expedited or delayed care, patients discussed (1) the emotional and mental impact of waiting, (2) the importance of communication and clear expectations, and (3) the impact of electronic health portals. Patients desired each care interval (e.g., the time from mammogram to breast biopsy) to be approximately 7days, with longer intervals sometimes preferred prior to surgery. These patient interviews identify areas of delay and provide patient-centered, actionable items to improve the timeliness of breast cancer care.

Differential Effect of 4H-Benzo[d] [1, 3]oxazines on the Proliferation of Breast Cancer Cell Lines.

A family of 4H-benzo[d][1,3]oxazines were obtained from a group of N-(2-alkynyl)aryl benzamides precursors via gold(I) catalysed chemoselective 6-exo-dig C-O cyclization. The precursors and oxazines obtained were studied in breast cancer cell lines MCF-7, CAMA-1, HCC1954 and SKBR-3 with differential biological activity showing various degrees of inhibition with a notable effect for those that had an aryl substituted at C-2 of the molecules. 4H-benzo[d][1,3]oxazines showed an IC50 rating from 0.30 to 157.4 µM in MCF-7, 0.16 to 139 in CAMA-1, 0.09 to 93.08 in SKBR-3, and 0.51 to 157.2 in HCC1954 cells. We observed that etoposide is similar to benzoxazines while taxol effect is more potent. Four cell lines responded to benzoxazines while SKBR-3 cell line responded to precursors and benzoxazines. Compounds 16, 24, 25 and 26 have the potent effect in cell proliferation inhibition in the 4 cell lines tested and correlated with oxidant activity suggesting a possible mechanism by ROS generation. These compounds represent possible drug candidates for the treatment of breast cancer. However, further trials are needed to elucidate its full effect on cellular and molecular features of cancer.

Antitumor Properties of Bromelain Loaded Trastuzumab Conjugated Niosomes in HER2+ Breast Cancer Cells

There are multiple forms of treatment for cancer treatment, but since the treatment process also damages healthy cells. Accordingly, in recent years, in the light of nanotechnological studies, cancer cell targeted drugs known as smart drugs have attracted attention. Niosome is one of the preferred nanoparticle systems in these studies. Bromelain is a protease mixture obtained from the pineapple stem or fruit. In recent years, it has been shown in many cell types that it has anticancer properties due to its proteolytic activity. In this study, bromelain was encapsulated into niosomes with 32±2.9% efficiency for the treatment of breast cancer, which is the most common type of cancer in women. Specific targeting of niosome-encapsulated bromelain to HER2+ SKBR-3 cell line was performed by trastuzumab (herceptin) conjugation. DLS, FTIR, XPS, TEM were used for particle characterization. Niosomes (Nio) showed particle size of 134.3±8.1nm, Bromelain loaded niosomes (Nio-Br) showed particle size of 165.6±11.5nm. As a result of TEM analysis, it was shown that morphologically spherical and targeted sizes of niosomes of approximately 100nm were synthesized. FTIR and XPS analyzes were performed to confirm pegylation and trastuzumab conjugation. Cytotoxicity and apoptosis studies of Nio-Br, Nio-Br-PEG-Tra, Tra samples carried out in SKBR-3 and MDA-MB-231 cell lines. Determined IC50 values of final product on SKBR-3 and MDA-MB-231 cell lines respectively 77.51±5.39 μg/mL and 238.1±16.62 μg/mL. As a result of in vitro studies, final product is more toxic on HER2+ SKBR-3 cell line thanks to trastuzumab in structure. At the same time final product has more apoptotic effect connected to toxic characteristic. Formed molecule in this study was designed for HER2+ breast cancer cells. According to obtained in vitro experiment results, this designed molecule has potential to be drug delivery system for HER2+ breast cancer.

Construction of a prognostic model based on cuproptosis-related patterns for predicting survival, immune infiltration, and immunotherapy efficacy in breast cancer: Cuproptosis-based prognostic modeling in breast cancer.

Breast cancer is the most common and lethal malignancy among women worldwide. Cuproptosis, a newly identified copper-dependent cell death, is closely associated with cancer development. However, its regulatory mechanisms in breast cancer are not well studied. This study aims to establish a prognostic model for breast cancer to improve risk stratification. The mRNA expression data was downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. Consensus clustering identified patterns based on cuproptosis-related genes. Key genes were screened using Weighted Gene Co-Expression Network Analysis and differentially expressed gene analysis. A prognostic model was constructed using Cox regression and evaluated with time-dependent receiver operating characteristic and Kaplan-Meier analyses. Functional pathways, immune cell infiltration, and other tumor characteristics were also analyzed. Two distinct cuproptosis patterns were identified. The top 21 differentially expressed genes, significantly associated with survival, were used to construct the prognostic model. The risk score has a negative correlation with survival. Enrichment analysis showed immune-related pathways enriched in the low-risk group, which also had more immune cell infiltration, higher stromal component, lower tumor purity, and lower tumor heterogeneity. Finally, significant differences of half maximal inhibitory concentration were also observed between patients in high- and low-risk groups who received chemotherapy and targeted therapy drugs. These findings in our study may provide evidence for further research and individualized management of breast cancer.