src kinase activity is elevated in some human tumors, including breast and colon cancers. The precise cellular function of the src family kinases is not clearly understood, but they appear to be involved in numerous signaling pathways. We studied the effects of PD173955, a novel src family-selective tyrosine kinase inhibitor, on cancer cell lines and found that it has significant antiproliferative activity due to a potent arrest of mitotic progression. The mitotic block occurs after chromosome condensation in prophase, before spindle assembly and without loss of cyclin A and B kinase activities. This effect is seen in cancer cell lines of all types with low or high activities of src kinases as well as in untransformed cell lines. In MDA-MB-468 breast cancer cells, this drug produces a rapid inhibition of cellular src and yes kinase activities as well as suppression of the mitotic hyperactivity of these kinases. This compound defines a novel class of antimitotic drugs that work through inhibition of src kinases and possibly other protein kinases that are required for progression through the initial phases of mitosis.
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Cureus
December 2024
Medical Oncology, Jawaharlal Nehru Medical College, Wardha, IND.
Gynecomastia, the abnormal enlargement of male breast tissue, is a rare side effect associated with dasatinib. This drug is used in the treatment of chronic myeloid leukemia (CML). We present a case of dasatinib-induced gynecomastia in a 52-year-old gentleman with CML who developed bilateral breast enlargement and tenderness after approximately four months of dasatinib treatment.
View Article and Find Full Text PDFChemosphere
January 2025
Department of Pharmacology/Toxicology, School of Medicine, Daegu Catholic University, Daegu, Republic of Korea. Electronic address:
Perfluorooctane sulfonate (PFOS), a widely distributed and persistent organic pollutant, is known to cause immune dysfunction. In a previous study, we reported that PFOS modestly increases mast cell activation. However, its effects on FcεRI (a high-affinity IgE receptor)-mediated mast cell activation, a pivotal process in inflammatory allergic reactions and innate immunity, have not been clearly demonstrated.
View Article and Find Full Text PDFACS Pharmacol Transl Sci
January 2025
Department of Cell and Molecular Biology, University of Rhode Island, 120 Flagg Rd, Kingston, Rhode Island 02881, United States.
Despite the enthusiasm for targeted cancer therapies in preclinical studies and the success of a select few drugs, many promising drug candidates fail in clinical trials. The gap between preclinical promise and clinical outcomes underscores the need to investigate factors influencing the success or failure of targeted therapies. Dasatinib, an inhibitor of Abl and Src protein tyrosine kinases, is highly effective toward chronic myeloid leukemia (CML) by targeting BCR-Abl, but it is ineffective against solid tumors when targeting Src kinases.
View Article and Find Full Text PDFT-cell receptor recognition of cognate peptide-MHC leads to the formation of signalling domains and the immunological synapse. Because of the close membrane apposition, there is rapid exclusion of CD45, and therefore LCK activation. Much less is known about whether spatial regulation of the intracellular face dictates LCK activity and TCR signal transduction.
View Article and Find Full Text PDFSci Rep
January 2025
State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Tyrosine-protein kinase Src plays a key role in cell proliferation and growth under favorable conditions, but its overexpression and genetic mutations can lead to the progression of various inflammatory diseases. Due to the specificity and selectivity problems of previously discovered inhibitors like dasatinib and bosutinib, we employed an integrated machine learning and structure-based drug repurposing strategy to find novel, targeted, and non-toxic Src kinase inhibitors. Different machine learning models including random forest (RF), k-nearest neighbors (K-NN), decision tree, and support vector machine (SVM), were trained using already available bioactivity data of Src kinase targeting compounds.
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