Ethnopharmacological Relevance: Laetiporus sulphureus has long been used as an edible and medicinal mushroom in Asia, America, and Europe. Its fruiting bodies are widely used in folk medicine for treating cancer, gastric diseases, cough, and rheumatism. Polysaccharides are an important bioactive component of mushrooms. In nature, sulfated polysaccharides have never been reported in mushrooms. Furthermore, there is no information on differences in physicochemical properties and anti-breast cancer activities between polysaccharides (PS) and sulfated polysaccharides (SPS) of L. sulphureus.
Aim Of The Study: This study aimed to investigate the physicochemical properties of PS and SPS isolated from fruiting bodies of L. sulphureus and examine their anti-proliferative effects and mechanism(s) of action on MDA-MB-231 breast cancer cells.
Methods: Polysaccharides (PS) were isolated using hot water and ethanol precipitation methods. Sulfated polysaccharides (SPS) were isolated by the papain-assisted hydrolysis method. Physicochemical properties comprising sugar, protein, uronic acid, and sulfate contents, and molecular weight, monosaccharide composition, and structural conformation were analyzed on PS and SPS. In the anti-cancer study, a triple-negative breast cancer cell line (MDA-MB-231) and a normal human mammary epithelial cell line (H184B5F5/M10) were used to evaluate the anti-proliferative activity of PS and SPS, and their mechanism(s) of action.
Results: The results showed that SPS, which had higher sulfate and protein contents and diversified monosaccharide composition, exhibited more potent anti-proliferative activity against MDA-MB-231 cells than PS. Furthermore, it had a selective cytotoxic effect on breast cancer cells but not the normal cells. SPS induced cell cycle arrest at G0/G1 phase via down-regulating CDK4 and cyclin D1 and up-regulating p21 protein expression. Breast cancer cell apoptosis was not observed until 72 h after SPS treatment. In addition, SPS also markedly inhibited breast cancer cell migration.
Conclusion: This study demonstrates that SPS exhibited selective cytotoxicity and was more potent than PS in inhibiting MDA-MB-231 cell proliferation. The contents of sulfate and protein, and monosaccharide composition could be the main factors affecting the anti-breast cancer activity of L. sulphureus SPS.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jep.2023.117546 | DOI Listing |
East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Breast cancer is often thought to occur at a younger age among Arab women based on the mean or median age at diagnosis, or the proportion of women diagnosed with breast cancer at a young age.
Objective: To compare age-specific breast cancer incidence rates among women from selected Arab countries with selected high- and middle-income countries.
Methods: We examined population-based, age-specific, national or regional breast cancer incidence data for 2008-2012 and 2013-2017 from Australia, Brazil, Canada, Germany, Japan, United Kingdom, and United States of America, and compared them with data from Algeria, Bahrain, Jordan, Kuwait, Morocco, Qatar, and Saudi Arabia.
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!