Melanoma causes more deaths than any other skin cancer, and its incidence in the US continues to rise. Current medical therapies are insufficient to control this deadly neoplasm, necessitating the development of new target-based approaches. The objective of this study was to determine the role and functional significance of the class III histone deacetylase SIRT1 in melanoma. We have found that SIRT1 is overexpressed in clinical human melanoma tissues and human melanoma cell lines (Sk-Mel-2, WM35, G361, A375, and Hs294T) compared to normal skin and normal melanocytes, respectively. In addition, treatment of melanoma cell lines A375, Hs294T, and G361 with Tenovin-1, a small molecule SIRT1 inhibitor, resulted in a significant decrease in cell growth and cell viability. Further, Tenovin-1 treatment also resulted in a marked decrease in the clonogenic survival of melanoma cells. Further experiments showed that the anti-proliferative response of Tenovin-1 was accompanied by an increase in the protein as well as activity of the tumor suppressor p53. This increase in p53 activity was substantiated by an increase in the protein level of its downstream target p21. Overall, these data suggest that small molecule inhibition of SIRT1 causes anti-proliferative effects in melanoma cells. SIRT1 appears to be acting through the activity of the tumor suppressor p53, which is not mutated in the majority of melanomas. However, future detailed studies are needed to further explore the role and mechanism of SIRT1 in melanoma development and progression and its usefulness in melanoma treatment.
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http://dx.doi.org/10.1016/j.abb.2014.04.001 | DOI Listing |
Front Immunol
January 2025
First Department of Pediatrics, Weifang People's Hospital Affiliated to Shandong Second Medical University, Weifang, China.
Autoimmune cerebellar ataxia (ACA) is a cerebellar syndrome induced by autoimmune reactions and its onset is induced by malignant tumors, prodromic infection, and gluten allergy. Its clinical symptoms include gait disorder, limb ataxia, dysarthria, and dysphagia. According to , the diagnosis of ACA is based on the following points: 1.
View Article and Find Full Text PDFDrug Des Devel Ther
January 2025
Department of Pharmaceutical Analysis, Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, The School of Pharmacy, Fujian Medical University, Fuzhou, 350122, People's Republic of China.
Purpose: The incidence of malignant melanoma (MM) has risen over the past three decades, and despite advancements in treatment, there is still a need to improve treatment modalities. This study developed a promising strategy for tumor-targeted co-delivery of Dacarbazine (DTIC) and miRNA 34a-loaded PHRD micelles (Co-PHRD) for combination treatment of MM.
Methods: To construct the dual drug-loaded delivery system Co-PHRD, poly (L-arginine)-poly (L-histidine)-polylactic acid (PLA) was employed as a building block.
BMC Cancer
January 2025
Department of Plastic Surgery, University of California, Irvine, CA, USA.
Background: While prosthesis-associated malignancies have been acknowledged, awareness among surgeons and patients in the ophthalmologic field remains limited, despite the frequent occurrence of prosthesis-related surgeries. We aim to address this gap through a scoping review of malignancies following ophthalmologic surgeries involving various foreign device/prosthesis/implants.
Methods: Following PRISMA guidelines, we conducted a review using PubMed and Embase for studies on cancer and ophthalmic prostheses/implants.
Sci Rep
January 2025
Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Korea.
There is limited data on the risk of second primary malignancies (SPMs) in Asian melanoma survivors. This study aimed to identify the risk of SPMs in Asian melanoma survivors. Standardized incidence ratios (SIRs) were calculated for overall and specific SPMs.
View Article and Find Full Text PDFJMIR Cancer
January 2025
Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.
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