Saccharomyces boulardii, a variety of S. cerevisiae, is used as a probiotic yeast in food and drug industries. However, S. boulardii is an opportunistic pathogen, and the supernatant of this organism has recently been recommended for its health-promoting benefits. Breast cancer is the most frequent cancer disease in women worldwide. The objective of this study was to investigate the effects of S. boulardii supernatant (SBS) on cell viability, inducing apoptosis and suppression of survivin gene expression in MCF-7 and MCF-7/MX as human non-drug-resistant and multidrug-resistant breast cancer cells respectively. The IC value of SBS against MCF-7 was calculated 1037, 542, and 543 µg/mL for 24, 48, and 72 h treatments, respectively. Also, this value against MCF-7/MX cells were measured 1242, 616, and 444 µg/mL after 24, 48, and 72 h respectively. We found that suppression of survivin gene expression should be one of the main molecular antitumor mechanisms which is contributed to apoptosis in breast cancer cells. However, anticancer activity of SBS was observed more efficient against MCF-7 than that against MCF-7/MX cells. SBS is suggested to be considered as one of the prospective anticancer drugs to treat human breast carcinoma. More investigations especially in vivo studies are strongly recommended to be implemented to characterize other antitumor mechanisms of SBS against breast carcinoma.
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http://dx.doi.org/10.1007/s12602-021-09756-w | DOI Listing |
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 PDFInt J Gen Med
December 2024
Department of Thyroid and Breast Surgery, Quzhou People's Hospital, Quzhou, 324000, People's Republic of China.
Objective: This study aims to demonstrate the impact of sarcopenia on the prognosis of early breast cancer and its role in early multimodal intervention.
Methods: The clinical data of patients (n=285) subjected to chemotherapy for early-stage breast cancer diagnosed pathologically between January 1, 2016, and December 31, 2020, in our hospital were retrospectively analyzed. Accordingly, the recruited subjects were divided into sarcopenia (n=85) and non-sarcopenia (n=200) groups according to CT diagnosis correlating with single-factor and multifactorial logistic regression analyses.
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