Receptor tyrosine kinases have become important therapeutic targets for anti-neoplastic molecularly targeted therapies. c-Met is a receptor tyrosine kinase shown to be over-expressed and mutated in a variety of malignancies. Stimulation of c-Met via its ligand hepatocyte growth factor also known as scatter factor (HGF/SF), leads to a plethora of biological and biochemical effects in the cell. There has been considerable knowledge gained on the role of c-Met-HGF/SF axis in normal and malignant cells. This review summarizes the structure of c-Met and HGF/SF and their family members. Since there are known mutations of c-Met in solid tumors, particularly in papillary renal cell carcinoma, we have summarized the various mutations and over-expression of c-Met known thus far. Stimulation of c-Met can lead to scattering, angiogenesis, proliferation, enhanced cell motility, invasion, and eventual metastasis. The biological functions altered by c-Met are quite unique and described in detail. Along with biological functions, various signal transduction pathways, including the cytoskeleton are altered with the activation of c-Met-HGF/SF loop. We have recently shown the phosphorylation of focal adhesion proteins, such as paxillin and p125FAK in response to c-Met stimulation in lung cancer cells, and this is detailed here. Finally, c-Met when mutated or over-expressed in malignant cells serves as an important therapeutic target and the most recent data in terms of inhibition of c-Met and downstream signal transduction pathways is summarized.
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http://dx.doi.org/10.1016/s1359-6101(01)00029-6 | DOI Listing |
Int J Mol Sci
December 2024
Department of Oncology, University Hospital of Udine, 33100 Udine, Italy.
Antibody-drug conjugates (ADCs) represent one of the most promising and rapidly emerging anti-cancer therapies because they combine the cytotoxic effect of the conjugate payload and the high selectivity of the monoclonal antibody, which binds a specific membrane antigen expressed by the tumor cells. In non-small cell lung cancer (NSCLC), ADCs are being investigated targeting human epidermal growth factor receptor 2 (), human epidermal growth factor receptor 3 (), trophoblast cell surface antigen 2 (), Mesenchymal-epithelial transition factor (), and carcinoembryonic antigen-related cell adhesion molecule 5 (). To date, Trastuzumab deruxtecan is the only ADC that has been approved by the FDA for the treatment of patients with NSCLC, but several ongoing studies, both using ADCs as monotherapy and combined with other therapies, are investigating the efficacy of new ADCs.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Esophageal carcinoma is a highly prevalent malignancy worldwide. The present study aimed to investigate the mechanism by which the natural compound coptisine affects pyroptosis in esophageal squamous cell carcinoma (ESCC). The expression of c-Met in ESCC patients was assessed by immunohistochemical analysis of tissue microarrays.
View Article and Find Full Text PDFEXCLI J
November 2024
Department of Herbal Pharmacology, College of Korean Medicine, Gachon University, 1342 Seongnamdae-ro, Sujeong-gu, Seongnam-si, 13120, Korea.
Hepatocellular carcinoma (HCC) is the fifth leading cause of cancer related deaths globally. Despite advancements in treatment, drug resistance and adverse side effects have spurred the search for novel therapeutic strategies. This study aimed to investigate how the can inhibit key targets involved in HCC progression.
View Article and Find Full Text PDFPhys Med Biol
January 2025
The Division of Imaging Sciences and Biomedical Engineering, King's College London, 5th Floor Becket House, London, SE1 7EH, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
Multiplexed positron emission tomography (mPET) imaging allows simultaneous observation of physiological and pathological information from multiple tracers in a single PET scan. Although supervised deep learning has demonstrated superior performance in mPET image separation compared to purely model-based methods, acquiring large amounts of paired single-tracer data and multi-tracer data for training poses a practical challenge and needs extended scan durations for patients. In addition, the generalisation ability of the supervised learning framework is a concern, as the patient being scanned and their tracer kinetics may potentially fall outside the training distribution.
View Article and Find Full Text PDFBreast Cancer Res
January 2025
Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
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