Emerging Applications of Nanoparticles in the Diagnosis and Treatment of Breast Cancer

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(7), P. 723 - 723

Published: July 4, 2024

Breast cancer remains the most prevalent among women worldwide, driving urgent need for innovative approaches to diagnosis and treatment. This review highlights pivotal role of nanoparticles in revolutionizing breast management through advancements interconnected including targeted therapy, imaging, personalized medicine. Nanoparticles, with their unique physicochemical properties, have shown significant promise addressing current treatment limitations such as drug resistance nonspecific systemic distribution. Applications range from enhancing delivery systems sustained release developing diagnostic tools early precise detection metastases. Moreover, integration into photothermal therapy synergistic use existing treatments, immunotherapy, illustrate transformative potential care. However, journey towards clinical adoption is fraught challenges, chemical feasibility, biodistribution, efficacy, safety concerns, scalability, regulatory hurdles. delves state nanoparticle research, applications diagnosis, obstacles that must be overcome integration.

Language: Английский

---

Coconut Oil and Shea Butter as Lipids for the Formulation of Ciprofloxacin-Loaded Nanoparticles

Journal of Pharmaceutical Innovation, Journal Year: 2025, Volume and Issue: 20(1)

Published: Jan. 10, 2025

Language: Английский

---

Molecularly Manipulating Pyrazinoquinoxaline Derivatives to Construct NIR-II AIEgens for Multimodal Phototheranostics of Breast Cancer Bone Metastases

Biomaterials, Journal Year: 2025, Volume and Issue: 317, P. 123105 - 123105

Published: Jan. 11, 2025

Language: Английский

---

Plant protein-derived anti-breast cancer peptides: sources, therapeutic approaches, mechanisms, and nanoparticle design

Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 17, 2025

Breast cancer causes the deaths of approximately 685,000 women annually, posing a severe threat to women's health. Consequently, there is an urgent need for low-cost, low-toxicity and effective therapeutic methods prevent or mitigate breast progression. PDBP are natural, non-toxic, affordable substances have demonstrated excellent anti-breast activities in inhibiting proliferation, migration, invasion, promoting apoptosis both vitro vivo, thus effectively preventing cancer. However, no comprehensive reviews summarizing effects mechanisms on treatment Therefore, this review described inhibitory active peptides from different plant protein sources Additionally, we summarized advantages preparation protein-derived anticancer peptide-encapsulated nanoparticles their This provides scientific basis understanding offers guidance development adjuvants enriched with these peptides.

Language: Английский

---

Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 6, 2025

Whole-body bone scan (WBS) is usually used as the effective diagnostic method for early-stage and comprehensive metastases of breast cancer. WBS images with cancer metastasis have characteristics low resolution, small foreground, multiple lesions, hindering widespread application deep learning-based models. Automatically detecting a large number densely lesions on low-resolution remains challenge. We aim to develop unified framework based images. propose novel detection detect Considering difficulties feature extraction caused by resolution we innovatively plug-and-play position auxiliary module fusion enhance ability global information extraction. In order accurately in WBS, designed self-attention transformer-based target head. This retrospective study included 512 patients from Peking Union Medical College Hospital. The data type whole-body image. For our study, ratio training set, validation set test about 6:2:2. benchmarks are four representative baselines, SSD, YOLOR, Faster_RCNN_R Scaled-YOLOv4. performance metrics Average Precision (AP), Recall. results obtained through proposed were assessed using Bonferroni-adjusted Wilcoxon rank test. significant level adjusted according different comparisons. conducted extensive experiments ablation studies private dataset public scans West China Hospital validate effectiveness generalization. Experiments evaluate method. First, compared network architectures, AP 55.0 ± 6.4% (95% confidence intervals (CI) 49.9–60.1%, $$p<0.05$$ ), which improved 45.2% SSD baseline 9.8 2% CI 8.1–11.4%). metric recall, achieved average 54.3 4.2% 50.9–57.6%, has recall values 49.01% model 5.2 12.7% 10–21.3%). Second, studies. On dataset, adding head will increase 14.03% (from 33.3 47.6 4.4%) 19.3% 52.6 6.1%), respectively. addition, generalization was also verified BS-80K Extensive experimental demonstrated superiority To best knowledge, work first attempt developing automatic detector considering unique foreground Our tailored can be clinical decision support tool early decision-making metastases.

Language: Английский

---

On-site delivery of bioactive nanospheres utilizing lanthanides as crosslinkers and metastasis-inhibiting agents for breast cancer therapy

Journal of Controlled Release, Journal Year: 2025, Volume and Issue: unknown, P. 113671 - 113671

Published: March 1, 2025

Language: Английский

---

Modern Treatment of Skeletal Metastases: Multidisciplinarity and the Concept of Oligometastasis in the Recent Literature

Current Oncology, Journal Year: 2025, Volume and Issue: 32(4), P. 226 - 226

Published: April 11, 2025

Bone metastases are a major concern in cancer management since they significantly contribute to morbidity and mortality. Metastatic lesions, commonly arising from breast, prostate, lung, kidney cancers, affect approximately 25% of patients, leading severe complications such as pain, fractures, neurological deficits. This narrative review explores contemporary approaches bone metastases, emphasizing multidisciplinary strategy the evolving concept oligometastatic disease. Oligometastases, defined by limited metastatic spread (1–5 lesions), offer potential window for curative treatment through aggressive interventions, including stereotactic ablative radiotherapy resection surgery. Tumor boards, integrating systemic therapies with local crucial optimize treatment. Despite promising results, gaps remain defining optimal sequences refining patient selection criteria. Future research should focus on personalized approaches, leveraging biomarkers advanced imaging enhance outcomes quality life patients metastases.

Language: Английский

---

Arsenic Nanoparticles Trigger Apoptosis via Anoikis Induction in OECM-1 Cells

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(12), P. 6723 - 6723

Published: June 18, 2024

Arsenic compounds have been used as therapeutic alternatives for several diseases including cancer. In the following work, we obtained arsenic nanoparticles (AsNPs) produced by an anaerobic bacterium from Salar de Ascotán, in northern Chile, and evaluated their effects on human oral squamous carcinoma cell line OECM-1. Resazurin reduction assays were carried out these cells using 1–100 µM of AsNPs, finding a concentration-dependent viability that was not observed non-tumoral gastric mucosa-derived GES-1. To establish if associated with apoptosis induction, markers like Bcl2, Bax, cleaved caspase 3 analyzed via Western blot, executor caspases 3/7 luminometry, DNA fragmentation TUNEL assay, 100 cisplatin positive control. OECM-1 treated AsNPs showed induction both extrinsic intrinsic apoptotic pathways, which can be explained significant decrease P-Akt/Akt P-ERK/ERK relative protein ratios, increase PTEN p53 mRNA levels Bit-1 levels. These results suggest prospective mechanism action involves potential interaction extracellular matrix (ECM) components reduces attachment subsequently triggers anoikis, anchorage-dependent type apoptosis.

Language: Английский

---

A Water-Soluble Aggregation-Induced Emission Luminogen for NIR-I/NIR-II Fluorescence Imaging of Breast Cancer Bone Metastases

Biosensors and Bioelectronics, Journal Year: 2024, Volume and Issue: 268, P. 116903 - 116903

Published: Nov. 1, 2024

Language: Английский

---

Neutrophil-targeted liposomal platform: A shift in novel approach for early detection and treatment of cancer metastasis

Asian Journal of Pharmaceutical Sciences, Journal Year: 2024, Volume and Issue: 19(5), P. 100949 - 100949

Published: Aug. 23, 2024

Tumor metastasis is responsible for 90% of cancer-associated deaths, and its early detection may decrease the likelihood mortality. Studies have demonstrated that results from interaction between "seeds" (tumor cells) "soil" (pre-metastatic niche, PMN). As first most abundant immune cells to be recruited PMN, neutrophils play a key role in ultimate formation metastatic foci through mechanisms such as supporting tumor cell growth, promoting angiogenesis, shaping an immune-suppressive microenvironment. In this study, two distinct types sialic acid (SA)-modified liposomes were prepared target regulate pro-metastatic l-selectin receptor. One these liposomes, named ICG@SAL, was used encapsulate indocyanine green (ICG) specifically designed cancer metastasis. The other liposome, referred ABE/Cur@SAL, co-loaded abemaciclib (ABE) curcumin (Cur), with intention suppressing progression tumor. Fluorescence imaging mouse spontaneous model indicated ICG@SAL faster targeting stronger accumulation organs than unmodified ICG (ICG@CL). This suggested could detect at stage. therapy experimental lung ABE/Cur@SAL inhibit regulatory T (Treg) proliferation, enhance effector activity reduce tumorigenic factor release, implying Overall, our work provided sensitive convenient approach diagnosis treatment employed metastasis, while development when identified.

Language: Английский

---