Quercetin is a potent cancer therapeutic agent present in fruits and vegetables. The pharmaceutical uses of quercetin are limited due to many problems associated with low solubility, bioavailability, permeability, and instability. In addition, the high doses of quercetin show toxic effects in clinical and experimental studies. Therefore, a new strategy is warranted to overcome these problems without the use of toxic doses. The iron oxide nanoparticles can be used as a drug delivery system. This study aimed to prepare quercetin-conjugated magnetite nanoparticles (QMNPs) using biological simple nanoprecipitation and mediated by fungus . Also, we initiated in vitro and in vivo studies to determine whether QMNPs might sensitize breast cancer to radiotherapy treatment. The structural, morphological, and magnetic properties of the prepared nanoparticles were studied. The results indicated that QMNPs were spherical in shape and 40 nm in diameter. The in vitro studies showed that the incubation of MCF-7, HePG-2, and A459 cancer cells with QMNPs for 24 h effectively inhibited the growth of cancer cell lines in a concentration-dependent manner with IC50 values of 11, 77.5, and104 nmol/mL, respectively. The combination of QMNPs with irradiation (IR) potently blocked MCF-7 cancer cell proliferation and showed significant changes in the morphology of these cells as observed by bright-field inverted light microscopy. Focusing on the long-term toxicity of QMNPs (20 ml/kg), the assessment of hematological, hepatic, and renal markers indicated no toxic effect. Besides, QMNPs inhibited tumor growth and potently enhanced the lateral radiotherapy treatment in N-methyl-N-nitrosourea (MNU)-induced breast cancer in female white albino rats. These anticancer and radiosensitizing activities were ascribed to cytotoxicity, cell cycle arrest, immunomodulation, and efficiency through induction of apoptosis. In a conclusion, these observations suggest that the QMNPs combined with LRT could act as a potential targeted therapy in breast cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961357PMC
http://dx.doi.org/10.1177/11782234221086728DOI Listing

Publication Analysis

Top Keywords

breast cancer
16
radiotherapy treatment
12
magnetite nanoparticles
8
cancer
8
qmnps
8
cancer cell
8
synergistic quercetin
4
quercetin magnetite
4
nanoparticles
4
nanoparticles targeted
4

Similar Publications

Background: Neoadjuvant chemotherapy (NACT) is the standard-of-care treatment for patients with locally advanced breast cancer (LABC), providing crucial benefits in tumor downstaging. Clinical parameters, such as molecular subtypes, influence the therapeutic impact of NACT. Moreover, severe adverse events delay the treatment process and reduce the effectiveness of therapy.

View Article and Find Full Text PDF

Breast cancer patterns by age groups in Brazil: insights from population-based registries data.

BMC Cancer

January 2025

Division of Clinical Research and Technological Development, Brazilian National Cancer Institute, 37 Andre Cavalcanti Street, 5th floor, Annex Building, 20231050, Rio de Janeiro, Brazil.

Background: Breast cancer (BC) has exhibited varied epidemiological trends based on distinct age categories. This research aimed to explore the incidence and mortality rates of BC within pre-defined age groups in the Brazilian population.

Methods: BC incidence trends were assessed from 2010 to 2015 using Brazilian Population-Based Cancer Registries, employing age-standardized ratios and annual average percentage change (AAPC).

View Article and Find Full Text PDF

Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.

BMC Med Imaging

January 2025

Electronics and Communications, Arab Academy for Science, Heliopolis, Cairo, 2033, Egypt.

Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive and costly. To reduce these obstacles and expedite the procedure, we present an efficient deep-learning model that generates high-quality IHC-stained images directly from Hematoxylin and Eosin (H&E) stained images.

View Article and Find Full Text PDF

Purpose: While previous research has highlighted treatment delay inequities in early-stage breast cancer and identified potential contributing factors, there is limited research on disparities in treatment delays for metastatic breast cancer (MBC). This study investigates these disparities in MBC treatment initiation, aiming to identify key factors crucial for improving timely access to care.

Method: Nationwide Flatiron Health electronic health records-derived deidentified database, including females aged 18+ diagnosed with either De novo or relapsed MBC in the U.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!