The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.
Uveal melanoma: Towards a molecular understanding
Open accessAbstract
Uveal melanoma is an aggressive malignancy that originates from melanocytes in the eye. Even if the primary tumor has been successfully treated with radiation or surgery, up to half of all UM patients will eventually develop metastatic disease. Despite the common origin from neural crest-derived cells, uveal and cutaneous melanoma have few overlapping genetic signatures and uveal melanoma has been shown to have a lower mutational burden. As a consequence, many therapies that have proven effective in cutaneous melanoma -such as immunotherapy- have little or no success in uveal melanoma. Several independent studies have recently identified the underlying genetic aberrancies in uveal melanoma, which allow improved tumor classification and prognostication of metastatic disease. In most cases, activating mutations in the Gα11/Q pathway drive uveal melanoma oncogenesis, whereas mutations in the BAP1, SF3B1 or EIF1AX genes predict progression towards metastasis. Intriguingly, the composition of chromosomal anomalies of chromosome 3, 6 and 8, shown to correlate with an adverse outcome, are distinctive in the BAP1mut, SF3B1mut and EIF1AXmut uveal melanoma subtypes. Expression profiling and epigenetic studies underline this subdivision in high-, intermediate-, or low-metastatic risk subgroups and suggest a different approach in the future towards prevention and/or treatment based on the specific mutation present in the tumor of the patients. In this review we discuss the current knowledge of the underlying genetic events that lead to uveal melanoma, their implication for the disease course and prognosis, as well as the therapeutic possibilities that arise from targeting these different aberrant pathways.
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The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells
Mani, S. A., Guo, W., Liao, M.-J., Eaton, E. N., Ayyanan, A., Zhou, A. Y., Brooks, M., Reinhard, F., Zhang, C. C., Shipitsin, M., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.027 · Cited by 8,672
The distribution of secondary growths in cancer of the breast.
Paget, S. (1889) · The Lancet · doi:10.1016/s0140-6736(00)49915-0 · Cited by 5,277
Tumour exosome integrins determine organotropic metastasis
Hoshino, A., Costa-Silva, B., Shen, T.-L., Rodrigues, G., Hashimoto, A., Tesic Mark, M., Molina, H., Kohsaka, S., Di Giannatale, A., Ceder, S., et al. (2015) · Nature · doi:10.1038/nature15756 · Cited by 5,101
COSMIC: the Catalogue Of Somatic Mutations In Cancer
Tate, J. G., Bamford, S., Jubb, H. C., Sondka, Z., Beare, D. M., Bindal, N., Boutselakis, H., Cole, C. G., Creatore, C., Dawson, E., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1015 · Cited by 4,867
Genomic analyses identify molecular subtypes of pancreatic cancer
Bailey, P., Chang, D. K., Nones, K., Johns, A. L., Patch, A.-M., Gingras, M.-C., Miller, D. K., Christ, A. N., Bruxner, T. J. C., Quinn, M. C., et al. (2016) · Nature · doi:10.1038/nature16965 · Cited by 3,621
Emerging Biological Principles of Metastasis
Lambert, A. W., Pattabiraman, D. R., & Weinberg, R. A. (2017) · Cell · doi:10.1016/j.cell.2016.11.037 · Cited by 3,067
Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma
Ally, A., Balasundaram, M., Carlsen, R., Chuah, E., Clarke, A., Dhalla, N., Holt, R. A., Jones, S. J. M., Lee, D., Ma, Y., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.046 · Cited by 2,490
Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation
Nazarian, R., Shi, H., Wang, Q., Kong, X., Koya, R. C., Lee, H., Chen, Z., Lee, M.-K., Attar, N., Sazegar, H., et al. (2010) · Nature · doi:10.1038/nature09626 · Cited by 2,192
Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer
Ciriello, G., Gatza, M. L., Beck, A. H., Wilkerson, M. D., Rhie, S. K., Pastore, A., Zhang, H., McLellan, M., Yau, C., Kandoth, C., et al. (2015) · Cell · doi:10.1016/j.cell.2015.09.033 · Cited by 1,858
Frequent somatic mutations of GNAQ in uveal melanoma and blue naevi
Van Raamsdonk, C. D., Bezrookove, V., Green, G., Bauer, J., Gaugler, L., O’Brien, J. M., Simpson, E. M., Barsh, G. S., & Bastian, B. C. (2009) · Nature · doi:10.1038/nature07586 · Cited by 1,623
Cited by
Yao, T., Zhang, Z., Li, Q., Huang, R., Hong, Y., Li, C., Zhang, F., Huang, Y., Fang, Y., Cao, Q., et al. (2023) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-23-0083 · Cited by 22
Metadata
- Authors
- Smit, K. N., Jager, M. J., de Klein, A., & Kiliҫ, E.
- Venue
- Progress in Retinal and Eye Research
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 75
- Pages
- 100800
- ISSN
- 1350-9462 (ISSN-L)
- OpenAlex
- W2976161620
- Cited by
- 264
- References
- 120
- FWCI
- 21.63
- Type
- journal article
- Language
- en
- Open access
- green
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- Smit, K. N., Jager, M. J., de Klein, A., & Kiliҫ, E. (2020). Uveal melanoma: Towards a molecular understanding. Progress in Retinal and Eye Research. https://doi.org/10.1016/j.preteyeres.2019.100800
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