Breast Cancer Therapy Research Articles

A novel hollow iron nanoparticle system loading PEG-Fe3O4 with C5a receptor antagonist for breast cancer treatment

Breast cancer is the most diagnosed malignancy and major cause of cancer death among women population in the worldwide. Ferroptosis is a recently discovered iron-dependent regulated cell death involved in tumor progression and therapeutic response. Moreover, increasing studies have implied that ferroptosis is a promising approach to eliminating cancer cells like developing iron nanoparticles as a therapeutic agent. However, resistance to ferroptosis is a vital distinctive hallmark of cancer. Therefore, further investigation of the mechanism of ferroptosis resistance to enhance its tumor sensitivity is essential for ferroptosis-target breast cancer therapy. Our results revealed that the activation of C5a/C5aR pathway can drive resistance to ferroptosis and reshaping breast cancer immune microenvironment. Accordingly, loading PEG-Fe3O4 with C5aRA significantly improved the anti-tumor effect of PEG- Fe3O4 by inhibiting ferroptosis resistance and increasing macrophage polarization toward M1 phenotype. Our findings presented a novel cancer therapy strategy that combined cancer cell metal metabolism regulation and immunotherapy. The study also provided support for further evaluation of PEG- Fe3O4@C5aRA as a novel therapeutic strategy for breast cancer in clinical trials.

Targeted breast cancer therapy using novel nanovesicle formulations of Olea europaea extract

Olive leaf is a byproduct of the olive tree that is rich in phenolic compounds with potential anticarcinogenic effects against various cancers, including breast cancer. Nevertheless, the ingestion or topical application of such plant extracts faces certain limitations. These limitations can be addressed by encapsulating the extracts in nanovesicles to enhance their release and bioavailability. This study aims to develop nanovesicles using Olea europaea leaf extract to exploit its potential anti-cancer properties. Soy lecithin was used to form liposomes for encapsulation of the olive leaf extract. In addition, ethanol and glycerol were added to form ethosomes and glycerosomes, respectively. The antiproliferative effect of both the free extract and the three formed nanovesicles was tested in MCF7 and MCF10A cell lines. To comprehend the mechanisms leading to reduced cell viability after exposure to olive leaf extract and its nanovesicles, levels of reactive oxygen species (ROS), mitochondrial membrane potential, and apoptotic stage were evaluated. The results suggest that both, the nanovesicles and the free extract, are antiproliferative agents against MCF7 tumour cells. However, when examining the impact of olive leaf extract and the formulated nanovesicles on MCF10A cells, no reduction in cell viability was observed. Our findings indicate that the anti-tumour effect of the extract and its nanovesicles may be due to increased oxidative stress, mediated by mitochondrial damage. The mechanism through which olive leaf extract exerts its antiproliferative effect on the breast cancer tumour line implies that apoptosis may be induced by the extract via the involvement of a mitochondria-dependent ROS-mediated pathway.

Copper-Consuming Nanoplatform for Alleviating Hypoxia and Overcoming Resistance to Sonodynamic Therapy of Breast Cancer.

Sonodynamic therapy (SDT) is a promising treatment modality for breast cancer; however, its effectiveness is often impeded by the hypoxic tumor microenvironment owing to an insufficient oxygen supply in the solid tumors. To overcome this challenge, we elaborately developed a 4T1 tumor-targeted multifunctional nanoagent by integrating both dendrimer-structured copper chelating agents and organic sonosensitizers (IR820) into a biotin-modified nanoliposome via a microfluidic-assisted self-assembly. In particular, the aforementioned copper chelating agent was constructed by introducing multiple xanthate groups into a dendrimer polymer, which showed a significant selectivity for the consumption of the intracellular copper levels. Based on this, the nanoliposome-based therapeutic not only disrupted the activity of the mitochondrial complex IV to directly inhibit the tumor cell proliferation but also suppressed the resistance to the SDT via inhibition of the oxygen consumption for cellular respiration. Both in vitro and in vivo studies confirmed that the designed nanoagents exhibit a synergistic tumor inhibition effect of copper consumption and IR820-mediated SDT. Taken together, this approach establishes a proof-of-concept for the construction of a copper-ion-modulated nanomedicine to significantly enhance the efficiency of oxygen-dependent cancer treatments.

Improved Therapeutic Efficacy: Liposome-Coated Mesoporous Silica Nanoparticles Delivering Thymoquinone to MCF-7 Cells.

Breast cancer remains a significant global health challenge, with thymoquinone showing promise as a therapeutic agent, but hindered by poor solubility. This study aimed to enhance TQ delivery to MCF-7 breast cancer cells using mesitylene- mesoporous silica nanoparticles coated with liposomes, designed for controlled drug release. Nanoparticles were synthesized using the sol-gel method and coated with phosphatidylserine- cholesterol liposomes. Different nanocharacterization techniques and in vitro assays were employed to assess the drug release kinetics, cellular uptake, cytotoxicity, and apoptosis. The nanoparticles exhibited favorable properties, including a large pore size of 3.6 nm, a surface area of 248.96 m2/g, and a hydrodynamic size of 171.571 ± 8.342 nm with a polydispersity index of 0.182 ± 0.017, indicating uniformity and stability. The successful lipid bilayer coating was confirmed by a zeta potential shift from +6.25 mV to -5.65 mV. The coated nanoparticles demonstrated a slow and sustained drug release profile, with cellular uptake of FITC-formulated nanoparticles being approximately 5-fold higher than free FITC (P < 0.0001). Cytotoxicity assays revealed a significant reduction in cell viability (P < 0.0001), reaching an IC50 value of 25 μM at 48 hours. Apoptosis rates were significantly higher in cells treated with the formulated TQ compared to the free drug and control at both 24 and 48 hours (P < 0.0001). This nanoformulation significantly enhanced TQ delivery, offering a promising strategy for targeted breast cancer therapy. Further preclinical studies are recommended to advance this approach in cancer treatment.

Exploring compound suitability and employing DFT calculations, molecular docking, and dynamics simulation to investigate potent compounds from podophyllum medicinal plants for breast cancer therapy

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

Physician–patient alignment on menopause-associated symptom burden: real-world evidence from the USA and Europe

Objective This study aimed to evaluate physician–patient alignment on menopausal symptom burden and impact for women experiencing natural vasomotor symptoms (nVMS) or VMS induced by endocrine therapy for breast cancer (iVMS). Methods For this real-world, cross-sectional survey, physicians from the USA and five European countries provided data for consulting patients experiencing nVMS/iVMS; patients optionally self-reported their experiences. Alignment between physician and patient responses was assessed using weighted Cohen’s κ analysis. Results Physicians and patients completed 1029 pairs of surveys (846 nVMS; 183 iVMS). In 28.1% of cases for nVMS and 29.6% for iVMS, patients reported more severe vasomotor symptoms (VMS) than physicians; alignment of responses was slight (nVMS, κ = 0.1364, p ≤ 0.0001; iVMS, κ = 0.1014, p = 0.039). For the non-VMS symptoms surveyed, 18.5–34.9% of patients with nVMS and iVMS reported symptoms without a corresponding physician report; sleep disturbances, cognitive difficulties and mood changes were among the symptoms most under-reported by physicians. Alignment regarding the impact of nVMS and iVMS on sleep, mood and overall quality of life was moderate. Conclusions Only slight to moderate physician–patient alignment was found across all areas surveyed. These findings suggest that physicians often underestimate the severity of VMS and the presence of other menopausal symptoms, highlighting a need to improve physician–patient communication.

Neurological and Psychiatric Adverse Events Associated with Cyclin-Dependent Kinase 4/6 Inhibitors in Breast Cancer Patients: Insights from a Pharmacovigilance Study via the FDA Adverse Event Reporting System.

Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors have revolutionised cancer therapy, particularly breast cancer therapy. However, concerns about their potential to cause neurological and psychiatric adverse events (AEs) have emerged, and these concerns remain underexplored. This study aimed to investigate the signals related to neurological and psychiatric AEs associated with CDK4/6 inhibitor use. A retrospective study was performed to analyse reports of AEs associated with the use of CDK4/6 inhibitors (abemaciclib, ribociclib and palbociclib) from the first quarter of 2015 to the fourth quarter of 2023 on the basis of the FDA Adverse Event Reporting System (FAERS). Both the reporting odds ratio (ROR) and the multi-item gamma Poisson shrinker (MGPS) were used for signal detection. The timing of events was assessed with the Weibull shape parameter (WSP). The management, analysis and presentation of the data were performed via Python (version 3.8) and R software (version 4.3.2). A total of 19,001 AE reports in which CDK4/6 inhibitors were identified as the 'primary suspect drug' were included in this study. These events were predominantly observed in patients aged 65 to 85 years. Through an ROR analysis, 85 positive signals for neurological and psychiatric AEs associated with CDK4/6 inhibitors were identified. The MGPS method revealed 61 positive AE signals for neurological and psychiatric AEs associated with CDK4/6 inhibitors. A total of 34 positive AE signals were identified by both the ROR and MGPS analyses. The WSP indicated that the onset times for AEs associated with all three CDK4/6 inhibitors tended to be early in drug therapy, suggesting a propensity for early failuretype. The present study revealed neurological and psychiatric AEs associated with CDK4/6 inhibitors that often occur early in treatment. Significant signals include spinal cord herniation and cerebral microangiopathy. Close monitoring of these AEs is crucial. Further studies are necessary to verify the connection between CDK4/6 inhibitors and neurological and psychiatric AEs.

Molecular mechanisms of novel selective glucocorticoid receptor agonist action in breast cancer cells

Introduction. Glucocorticoids (GC) are widely used in breast cancer (BC) therapy to reduce the side effects of cytostatic drugs and may exhibit antiproliferative effects on luminal BC cells. The biological action of GC is mediated by glucocorticoid receptor (GR) by two mechanisms: transrepression, which determines the therapeutic effect of GC, and transactivation (associated with the development of side effects, resistance to cytotoxic drugs, cancer progression and metastasis). Selective GR agonists (SEGRA) which may selective activate transrepression are a promising alternative to GC to use in combination cancer therapy. One of the most studied SEGRA is Compound A (CpdA). The instability of CpdA limits its use in clinical practice. So recently we performed synthesis and evaluation of biological activities of the CpdA analogue, CpdA-03.Aim. To compare the effects of SEGRA CpdA-03 and CpdA and dexamethasone on proliferative activity of breast cancer cells, as well as receptor nuclear translocation and activation of GR-dependent genes in breast cancer cells.Materials and methods. Luminal (MCF-7) and triple negative (MDA-MB-231) BC cell lines were used. The effect of CpdA-03 on proliferation was evaluated by direct counting of viable cells with trypan blue staining. The effect of the compound on cell distribution by cell cycle phases was assessed by flow cytofluorimetry with propidium iodide staining. Changes in the expression of GR-dependent genes after incubation with CpdA-03 were evaluated by quantitative polymerase chain reaction. Additionally, the ability of the new SEGRA to induce transactivation-associated translocation of the receptor to the nucleus was evaluated by Western blotting.Results. CpdA-03 was shown to suppress proliferation of luminal and triple negative BC cells. This compound causes changes in the expression of a number of GC-inducible genes, but does not stimulate GR phosphorylation and translocation to the nucleus in BC cells.Conclusion. The observed suppression of cell proliferation, as well as the ability of CpdA-03 to reduce gene expression of proteins regulating intercellular adhesion and cell migration, intracellular signaling, stress response, and transcription in BC cells makes it relevant for further development of the drug for use in the combination therapy of cancers including breast cancer.

CAV1 inhibits Xc- system through IFNGR1 to promote ferroptosis to inhibit stemness and improves anti-PD-1 efficacy in breast cancer

Breast cancer is the most prevalent malignancy among women worldwide, with breast cancer stem cells (BCSCs) being the primary drivers of metastasis and recurrence. Numerous studies have elucidated the relationship between ferroptosis and cellular stemness, identifying the Xc- system as a key regulatory mechanism governing ferroptosis. However, the interplay between CAV1 and ferroptosis, along with its implications for stemness in breast cancer, remains inadequately understood. This gap in knowledge impedes advancements in targeted therapies for breast cancer. We employed immunohistochemistry and bioinformatics analyses to demonstrate the downregulation of CAV1 in breast cancer tissues. Additionally, we utilized CCK-8 assays, EDU staining, and Transwell assays to assess cell proliferation, migration, and invasion capabilities. Furthermore, we evaluated indicators associated with ferroptosis while examining markers related to stemness through sphere culture experiments and flow cytometry techniques. Our findings indicate that CAV1 expression can induce cell death via ferroptosis while simultaneously inhibiting both cell proliferation and features of stemness by upregulating IFNGR1 and promoting ferroptosis. Moreover, our in vivo experiments revealed that overexpression of CAV1 enhances the efficacy of anti-PD-1 therapy. In conclusion, our study elucidates the regulatory role of CAV1 on ferroptosis within breast cancer contexts; it suppresses BCSC characteristics while positioning CAV1 as a promising therapeutic target for combating this disease.

Active symptom monitoring for premenopausal women with breast cancer initiating adjuvant endocrine therapy: Protocol for the SWOG S2010 randomized controlled efficacy trial

BackgroundPremenopausal women with early stage, high risk hormone receptor positive breast cancer are at risk of early discontinuation of adjuvant endocrine therapy (ET), primarily because of toxicity, which can increase the risk of disease recurrence and death. We hypothesize that identification of bothersome symptoms between clinic visits, and automated notification of clinicians about symptoms, will result in improved persistence with ET. MethodsPre- and perimenopausal women planning to receive adjuvant treatment with tamoxifen or an aromatase inhibitor plus ovarian function suppression or ablation for treatment of breast cancer are eligible. A total of 540 participants will be enrolled and randomized 1:1 to patient education with or without Active Symptom Monitoring (ASM). The ASM intervention includes 6 symptom questions (hot flashes, sadness, anxiety, insomnia, vaginal dryness, joint pain) that will be completed via text, email, or telephone weekly for 24 weeks, then every 4 weeks for 48 weeks. All participants will complete a battery of questionnaires every 12 weeks to examine symptoms, beliefs about medicine, self-efficacy, and ET adherence. Optional blood draws will be collected at baseline and after 12, 48, and 72 weeks of therapy to examine estradiol and ET concentrations. The primary endpoint is time to nonpersistence with initially prescribed ET within the first 72 weeks, evaluated using Kaplan-Meier plots and multivariable Cox regression. ConclusionWe expect early identification and management of ET-related toxicities to improve persistence with breast cancer therapy, breast cancer outcomes, and quality of life for premenopausal women at high risk of breast cancer recurrence.Clinicaltrials.govNCT05568472

Impact of trastuzumab emtansine (T-DM1) on spleen volume in patients with HER2-positive metastatic breast cancer.

Trastuzumab emtansine (T-DM1) is a novel therapy for human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer, combining the targeted action of trastuzumab with the cytotoxic effects of emtansine. Although T-DM1 has demonstrated greater efficacy and safety compared to traditional therapies, concerns about hepatotoxicity and spleen-related complications have arisen. We conducted a retrospective study of 64 HER2-positive metastatic breast cancer patients treated with T-DM1 at our institution. Patients underwent computed tomography or magnetic resonance imaging at baseline and during treatment cycles. Spleen volume, portal vein diameter, and laboratory values were compared between baseline and 12months after T-DM1 treatment. Median spleen volume significantly increased from 201cm3 (IQR, 157-275) at baseline to 291cm3 (IQR, 215-420) after 12months of T-DM1 treatment (P<0.001). Spleen enlargement was observed in 87.5% of patients, while no significant alteration was detected in portal vein diameter. The change in spleen volume was positively correlated with changes in serum globulin levels, liver enzymes, and bilirubin levels, but did not impact survival outcomes. T-DM1 therapy in HER2-positive metastatic breast cancer leads to significant spleen enlargement and systemic biochemical changes. Future studies should focus on elucidating the long-term implications of these findings and optimizing monitoring strategies for spleen-related complications.

Immunological tolerance in breast cancer: some reasons for development

Immunological tolerance is one of the reasons for the development and progression of malignant tumors. The tumor immune cycle regulates the normal antitumor immune response, and it’s disruption is responsible for the development of immunological tolerance. This article provides a review of russian and foreign literature published in databases such as PubMed, Medline, and Cochrane, eLibrary in the last 5 years, focusing on the emergence of immunological tolerance in breast cancer from the perspective of disrupted regulation of tumor immune cycle phases: expression of antigens on the surface of tumor cells, cancer antigen presentation, priming and activation T cells, immune infiltration of the tumor site, recognition, and elimination of tumor cells. Understanding the mechanisms underlying tumor immune cycle disruption is important for identifying new immunopathogenetic links in the development of breast cancer, as well as identifying targets to improve the effectiveness of therapy for advanced breast cancer.

Eco-friendly synthesis of curcumin-loaded ZnO nanoparticles encapsulated in Pluronic F-127: Implications for bacterial and breast cancer therapies

The development of a nanomaterials production process that is both economical and environmentally friendly is a result of the growing importance placed on people’s health. The Zinc oxide (ZnO)-Pluronic F127 (PF127)-Curcumin (CUR) nanoparticles (NPs) were synthesized through a green method using Senna auriculata flower extracts. These NPs were characterized using a variety of techniques, such as ultraviolet–visible spectroscopy (UV), Fourier transform infrared spectroscopy (FTIR), Field emission scanning electron microscopy (FESEM), Energy Dispersive X-ray analysis (EDAX), X-ray diffraction (XRD), photoluminescence (PL), and dynamic light scattering (DLS). From the XRD studies, synthesized ZnO-PF127-CUR NPs exhibit a wurtzite hexagonal crystal structure. The antimicrobial activity of ZnO-PF127-CUR NPs and Amoxicillin was tested against Staphylococcus aureus, Klebsiella pneumoniae, Shigella dysenteriae, Staphylococcus pneumoniae, Bacillus subtilis, proteus vulgaris, and candida albicans, respectively. The anticancer activity of ZnO-PF127-CUR NPs was tested against human breast cancer cell line (MDA-MB-237), and ZnO-PF127-CUR exhibits potential anticancer activity. These results support using ZnO-PF127-CUR NPs in healthcare manufacturing environments to improve human health.

Adjuvant endocrine therapy and risk of contralateral breast cancer: a systematic review and meta-analysis of observational studies.

Randomized clinical trials support reductions in contralateral breast cancer (CBC) risk with use of adjuvant endocrine therapy, however, real-world treatment effects, particularly for subgroups of breast cancer survivors, remain inconclusive. To address this, population-based observational studies of adjuvant endocrine therapy and CBC were synthesized and meta-analyzed. PubMed and Embase databases were systematically searched for observational studies of endocrine therapy use and CBC risk. Random effects meta-analyses estimated summary relative risks (RRs) and 95% confidence intervals (CIs) for associations between endocrine therapy (ever use of tamoxifen and/or aromatase inhibitors (AIs)) and CBC risk. Heterogeneity across studies was assessed using the I2 test. Subgroup analyses were conducted by study design, menopausal status, and CBC estrogen receptor (ER)-status. Seventeen eligible observational studies (n = 287,576 breast cancer survivors) published between 1995 and 2019 were included. Endocrine therapy use was associated with reduced CBC risk (RR:0.62, 95% CI:0.53, 0.73, I2 = 84.8%, p < 0.0001). No heterogeneity was observed by study design (phet = 0.9). Similar reductions were observed in analyses restricted to tamoxifen use. As only two studies assessed AI use, estimates could not be meta-analyzed. In subgroup analyses, there were no differences in CBC risk reduction by menopausal status (phet = 0.22). Endocrine therapy reduced risk of ER-positive (RR:0.55, 95% CI:0.43, 0.70) but not ER-negative CBC (RR:1.26, 95% CI:0.95, 1.66) (phet < 0.001). This meta-analysis of observational studies supports a reduction in CBC risk with endocrine therapy among breast cancer survivors, in concert with evidence synthesized from randomized clinical trials, and highlights differences in endocrine therapy effectiveness by ER-status of CBC.

Synthesis, characterization, in silico and in vitro assessment of 2-aminopyridine nicotinamide cocrystal as a new agent for breast cancer therapy

Breast cancer is the leading cause of cancer-related death among women globally, in spite of major advances in diagnosis and treatment. 2-Aminopyridine Nicotinamide (2APNA) cocrystal was synthesized and cocrystal formation was confirmed through powder XRD. Computational investigations in structural fields and spectroscopic parameters were conducted and compared with the experimental results. Comparing the optimized geometrical characteristics, it was observed that molecular properties of 2APNA closely match the previously reported experimental data. FT-IR and FT-Raman spectroscopic analysis revealed the theoretical wavenumbers agree better with recorded data and in UV–visible absorption a single peak was recorded at 247 nm showing n → π* transition. The 2APNA's stability, reactive nature, charge relocations were studied through quantum chemical calculation such as FMO, MEP, NBO, NLO and Mulliken charge analysis. The topological features of cocrystal 2APNA was examined through ELF, LOL and RDG studies. The anti-apoptotic protein BCL-2 was selected as a target in molecular docking analysis and the results expressed 2APNA's binding score as -8.2 kcal/mol. In vitro studies confirmed that 2APNA has 2APNA demonstrated an enhanced cell death in MCF-7 cells with the IC50 concentration of 56.58 µg/mL and decreased the expression of BCL-2, thus resulting in apoptotic cell death. These results indicated that 2APNA possess a potent anticancer property for the treatment of breast cancer.

Primary breast lymphoma mimicking triple-negative breast cancer: a case report with clinical and pathological implications

BackgroundPrimary breast lymphoma (PBL) is a rare type of extranodal lymphoma, the diagnostic process for which presents significant challenges owing to an overlap in clinical and pathological features with those observed in triple-negative breast cancer (TNBC). However, the current literature reveals a paucity of information regarding the ramifications of potential diagnostic errors, particularly in the context of emergent therapeutic strategies for TNBC. Thus, we present a unique report of a case of PBL.Case presentationA 76-year-old female with no past medical or family history presented to the hospital with the chief complaint of a mass in the right breast. Two masses were palpated in the right breast: one 56 mm mass (No. 1) located at 10 o'clock, and a 21 mm large, elastic, hard mass (No. 2) at 4 o'clock. Needle biopsy was performed only on the larger 56 mm mass (No. 1). The results showed invasive carcinoma that was negative for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2. The preoperative diagnosis was right breast cancer (T3N0M0 Stage IIB) of the TNBC subtype. The patient refused the preoperative chemotherapy recommended by the treatment team; therefore, right breast mastectomy and sentinel lymph-node biopsy were performed instead. The histopathological diagnosis of the first mass was diffuse large B-cell lymphoma (DLBCL); that of the second mass (No. 2) was an invasive breast carcinoma of no special type. Postoperative treatment consisted of endocrine therapy (letrozole) for breast cancer, while the DLBCL was treated with chemotherapy and three courses of intrathecal chemotherapy. At the time of this report, the patient is still living, and neither tumor had recurred in the 2 years following surgery.ConclusionsOn rare occasions, PBL can preoperatively mimic TNBC. While this case did not lead to serious consequences, because surgery was eventually selected as the first therapy, clinicians should be aware that the diagnosis of PBL is challenging using only a core-needle biopsy and can often be misdiagnosed as TNBC.

Synthesis and Characterization of Acacia-Stabilized Doxorubicin-Loaded Gold Nanoparticles for Breast Cancer Therapy.

The targeted delivery of drugs is vital in breast cancer treatment due to its ability to produce long-lasting therapeutic effects with minimal side effects. This study reports the successful development of doxorubicin hydrochloride (DOX)-loaded colloidal gold nanoparticles stabilized with acacia gum (AG). Optimization studies varied AG concentrations (0.25% to 3% w/v) to determine optimal conditions for nanoparticle synthesis. The resulting acacia stabilized gold nanoparticles (AGNPs) were characterized using various techniques including high-resolution transmission electron microscopy (HR-TEM), powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), ultraviolet-visible spectroscopy, Fourier-transform infrared spectroscopy (FT-IR), field emission scanning electron microscopy (FE-SEM), and selected area electron diffraction (SAED). In vitro drug release studies demonstrated a higher release rate of DOX in sodium acetate buffer (pH 5.0) compared to phosphate buffer saline (pH 7.4), suggesting an enhanced therapeutic efficacy in acidic tumor environments. Cytotoxicity of DOX-AGNPs and free DOX was assessed in human breast cancer cells (MDA-MB-231). The DOX-AGNPs exhibited significantly greater cytotoxicity, indicating enhanced efficacy in targeting cancer cells. This enhancement suggests that adsorbing DOX on the surface of gold nanoparticles can improve drug delivery and effectiveness, potentially reducing side effects compared to pure DOX and traditional delivery methods. Stability tests conducted over six months at 25±1°C showed significant changes in particle size and PDI, suggesting limited stability under these conditions. Overall, the acacia-stabilized gold nanoparticles synthesized in this study exhibit promising characteristics for drug delivery applications, particularly in cancer therapy, with effective drug loading, controlled release, and favorable physicochemical properties.

Transcriptomic markers of biological aging in breast cancer survivors: a longitudinal study.

The purpose of this study was to examine the impact of breast cancer therapy on biological aging as measured by expression of genes for cellular senescence (p16INK4a, SenMayo), DNA damage response, and proinflammatory senescence-associated secretory phenotype. This longitudinal, observational study evaluated women diagnosed with breast cancer (stage 0-III) prior to radiation therapy (RT) and/or chemotherapy (CT) and at repeated visits out to 2 years. Peripheral blood mononuclear cell gene expression was assessed using RNA sequencing on quality-verified RNA. Longitudinal data were analyzed using mixed linear models and a zero-inflated 2-part model. Women (mean age = 55.5 years) receiving CT with or without RT (n = 73) had higher odds (odds ratio = 2.97, 95% confidence interval = 1.52 to 5.8) of having detectable p16INK4a following treatment compared with RT (n = 76) or surgery alone (n = 37). The proportion of women expressing 16INK4a over the follow-up period increased in all treatment groups (P < .001), with no interaction by treatment. All groups also increased over time in DNA damage response (P < .001), SenMayo (P < .001), and senescence-associated secretory phenotype (P < .001). Groups differed in the pattern of increase over time with statistically significant quadratic time by group differences for CT with or without RT compared with RT alone for DNA damage response (P = .05), SenMayo (P = .006), and the senescence-associated secretory phenotype (P = .02). Results revealed activation of genes associated with biological aging in women with breast cancer from diagnosis through early survivorship, including DNA damage response, cell senescence, and the inflammatory secretome. Increases were evident across cancer treatments, although women receiving CT showed sustained increases, whereas RT exhibited slowing at later time points. Overall, findings suggest that women treated for breast cancer are aging within their immune cells.

Enhancing the Safety and Efficacy of Trastuzumab Emtansine (T-DM1) Through Nano-Delivery System in Breast Cancer Therapy.

Trastuzumab emtansine (T-DM1), an antibody-drug conjugate, revolutionizes breast cancer therapy by specifically delivering DM1 to human epidermal growth factor receptor 2 (HER2) overexpressing tumor cells, effectively inhibiting cell division and proliferation. While T-DM1 demonstrates superior efficacy and tolerability, T-DM1-induced thrombocytopenia remains a significant adverse event leading to treatment discontinuation. To address this issue, the study investigates the feasibility of using poly(lactic-co-glycolic acid) (PLGA)nanoparticles as a delivery vehicle to conjugate T-DM1, aiming to alleviate T-DM1-induced thrombocytopenia. The T-DM1-conjugated PLGA nanoparticles (NPs-T-DM1) reduce binding to megakaryocytes without compromising the targeting ability for HER2. Administration of NPs-T-DM1 not only significantly inhibits tumor growth but also reduces damage to megakaryocytes, inhibits T-DM1-induced thrombocytopenia, and remarkably improves the safety of antibody-conjugated drugs. This work presents a promising strategy to enhance the safety and efficacy of T-DM1 in antitumor therapy, offering significant potential for advancing clinical application in HER2-positive breast cancer patients.

Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to evaluate multiple new therapeutic drugs for high-risk breast cancer. Previous studies suggest that pathological complete response (pCR) is a viable indicator of long-term outcomes of neoadjuvant chemotherapy for high-risk breast cancer. While pCR can be assessed during surgery after the chemotherapy, early prediction of pCR before the completion of the chemotherapy may facilitate personalized treatment management to achieve an improved outcome. Notably, the acquisition of dynamic contrast-enhanced magnetic resonance (DCEMR) images at multiple time points during the I-SPY 2 trial opens up the possibility of achieving early pCR prediction. In this study, we investigated the feasibility of the early prediction of pCR to neoadjuvant chemotherapy using multi-time point DCEMR images and clinical data acquired in the I-SPY2 trial. The prediction uncertainty was also quantified to allow physicians to make patient-specific decisions on treatment plans based on the level of associated uncertainty. The dataset used in our study included 624 patients with DCEMR images acquired at 3 time points before the completion of the chemotherapy: pretreatment (T0), after 3 cycles of treatment (T1), and after 12 cycles of treatment (T2). A convolutional long short-term memory (LSTM) network-based deep learning model, which integrated multi-time point deep image representations with clinical data, including tumor subtypes, was developed to predict pCR. The performance of the model was evaluated via the method of nested 5-fold cross validation. Moreover, we also quantified prediction uncertainty for each patient through test-time augmentation. To investigate the relationship between predictive performance and uncertainty, the area under the receiver operating characteristic curve (AUROC) was assessed on subgroups of patients stratified by the uncertainty score. By integrating clinical data and DCEMR images obtained at three-time points before treatment completion, the AUROC reached 0.833 with a sensitivity of 0.723 and specificity of 0.800. This performance was significantly superior (p<0.01) to models using only images (AUROC=0.706) or only clinical data (AUROC=0.746). After stratifying the patients into eight subgroups based on the uncertainty score, we found that group #1, with the lowest uncertainty, had a superior AUROC of 0.873. The AUROC decreased to 0.637 for group #8, which had the highest uncertainty. The results indicate that our convolutional LSTM network-based deep learning model can be used to predict pCR earlier before the completion of chemotherapy. By combining clinical data and multi-time point deep image representations, our model outperforms models built solely on clinical or image data. Estimating prediction uncertainty may enable physicians to prioritize or disregard predictions based on their associated uncertainties. This approach could potentially enhance the personalization of breast cancer therapy.