Background And Objectives: We propose that a growth factor receptor tyrosine kinase (RTK) inhibitor, such as tyrphostin A47, could serve as an adjunct to estrogen replacement therapy (ERT) for postmenopausal breast cancer survivors. Tyrphostins have been shown to block estrogen (E2)-induced proliferation in the human breast cancer MCF-7 cell line. Therefore, the effects of A47 on signal transduction, cell cycle progression, and apoptosis in E2-mediated breast cancer cell growth in vitro were investigated.
Methods: Cell growth was determined by MTT proliferation assay, cell cycle analysis assessed by flow cytometry, and RTK activation by Western blot. Apoptosis assays included nuclear staining, TdT-mediated dUTP-X nick end labeling, and caspase 3 activation.
Results: We find A47 selectively inhibits epidermal growth factor (EGF) and basic fibroblast growth factor but not insulin growth factor-1 proliferation. Although A47 inhibits EGF-induced phosphorylation of the EGF receptor in A431 cells, it does not consistently block MAP kinase phosphorylation.
Conclusions: Taken together, A47 blocks E2/EGF-induced activation of EGFR and therefore interferes with the proximal EGFR signaling pathway. A47 also arrests the cells at the G1-S transition of the cell cycle and induces cell death by apoptosis. Thus, a growth factor RTK may be useful in blocking hormone-dependent tumor growth in an elevated E2 environment.
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http://dx.doi.org/10.1002/jso.10033 | 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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