Background: Src kinase inhibition has been shown to augment the efficacy of chemotherapy. Dasatinib, a dual Src/Abl kinase inhibitor approved for the treatment of CML, is under investigation as monotherapy for tumors with abnormal Src signaling, such as melanoma. The goal of this study was to determine if Src kinase inhibition using dasatinib could enhance the efficacy of regionally administered melphalan in advanced extremity melanoma.
Methods: The mutational status of c-kit and patterns of gene expression predictive of dysregulated Src kinase signaling were evaluated in a panel of 26 human melanoma cell lines. The effectiveness of dasatinib was measured by quantifying protein expression and activation of Src kinase, focal adhesion kinase, and Crk-associated substrate (p130(CAS)), in conjunction with in vitro cell viability assays using seven melanoma cell lines. Utilizing a rat model of regional chemotherapy, we evaluated the effectiveness of systemic dasatinib in conjunction with regional melphalan against the human melanoma cell line, DM443, grown as a xenograft.
Results: Only the WM3211 cell line harbored a c-kit mutation. Significant correlation was observed between Src-predicted dysregulation by gene expression and sensitivity to dasatinib in vitro. Tumor doubling time for DM443 xenografts treated with systemic dasatinib in combination with regional melphalan (44.8 days) was significantly longer (p = 0.007) than either dasatinib (21.3 days) or melphalan alone (24.7 days).
Conclusions: Systemic dasatinib prior to melphalan-based regional chemotherapy markedly improves the efficacy of this alkylating agent in this melanoma xenograft model. Validation of this concept should be considered in the context of a regional therapy clinical trial.
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http://dx.doi.org/10.1245/s10434-013-3387-6 | DOI Listing |
Narra J
December 2024
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri, Turkey.
The therapeutic potential of bitter leaf ( Del.) has been established both empirically and in various scientific investigations. However, the molecular pathways related to its possible anti-inflammatory and antioxidant properties remain unclear.
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 PDFBioorg Med Chem Lett
January 2025
National Taiwan University, School of Pharmacy, College of Medicine, Taipei 100 Taiwan. Electronic address:
Current CML treatments often suffer from undesired side effects. Herein we report the computation-assisted optimization of Bcr-Abl/C-Src dual kinase inhibitor. We surmised the improved toxicity profile was achieved via disrupted ligand-target binding.
View Article and Find Full Text PDFActa Pharmacol Sin
January 2025
Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.
The emergence of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) has improved the prognosis for lung cancer patients with EGFR-driven mutations. However, acquired resistance to EGFR-TKIs poses a significant challenge to the treatment. Overcoming the resistance has primarily focused on developing next-generation targeted therapies based on the molecular mechanisms of resistance or inhibiting the activation of bypass pathways to suppress or reverse the resistance.
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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