Blood biomarkers of uveal melanoma metastasis

2010 ◽  
Vol 95 (1) ◽  
pp. 3-4 ◽  
Author(s):  
P. L. Triozzi ◽  
A. D. Singh
2019 ◽  
Vol 8 (3) ◽  
pp. 11 ◽  
Author(s):  
Gustav Stålhammar ◽  
Thonnie Rose O. See ◽  
Stephen Phillips ◽  
Stefan Seregard ◽  
Hans E. Grossniklaus

2013 ◽  
Vol 54 (11) ◽  
pp. 584-593 ◽  
Author(s):  
P. Malho ◽  
K. Dunn ◽  
D. Donaldson ◽  
R. R. Dubielzig ◽  
Z. Birand ◽  
...  

2020 ◽  
Vol Volume 14 ◽  
pp. 157-169 ◽  
Author(s):  
Manuel F Bande Rodríguez ◽  
Beatriz Fernandez Marta ◽  
Nerea Lago Baameiro ◽  
Maria Santiago-Varela ◽  
Paula Silva-Rodríguez ◽  
...  

2019 ◽  
Vol 9 (16) ◽  
pp. 3244 ◽  
Author(s):  
Salvatorelli ◽  
Puzzo ◽  
Bartoloni ◽  
Palmucci ◽  
Longo ◽  
...  

MacroH2A is a histone variant whose expression has been studied in several neoplasms, including cutaneous melanomas (CMs). In the literature, it has been demonstrated that macroH2A.1 levels gradually decrease during CM progression, and a high expression of macroH2A.1 in CM cells relates to a better prognosis. Although both uveal and cutaneous melanomas arise from melanocytes, uveal melanoma (UM) is biologically and genetically distinct from the more common cutaneous melanoma. Metastasis to the liver is a frequent occurrence in UM, and about 40%–50% of patients die of metastatic disease, even with early diagnosis, proper treatment, and close follow-up. We wanted to investigate macroH2A.1 immunohistochemical expression in UM. Our results demonstrated that mH2A.1 expression was higher in metastatic UM (21/23, 91.4%), while only 18/32 (56.3%). UMs without metastases showed mH2A.1 staining. These data could suggest a possible prognostic role for mH2A.1 and could form a basis for developing new pharmacological strategies for UM treatment.


2011 ◽  
Vol 21 (2) ◽  
pp. 160-163 ◽  
Author(s):  
Nathalie A. Kolandjian ◽  
Sapna P. Patel ◽  
Nicholas E. Papadopoulos ◽  
Agop Y. Bedikian

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mathieu F. Bakhoum ◽  
Ellis J. Curtis ◽  
Michael H. Goldbaum ◽  
Paul S. Mischel

AbstractUveal melanoma, the most common intraocular primary cancer in adults, is characterized by striking variability in metastatic tendencies. BAP1 deletion in the primary tumor is associated with uveal melanoma metastasis, but it cannot always be resolved by bulk DNA sequencing of heterogeneous tumors. Here, we show that assessment of BAP1 methylation is an accurate and readily clinically actionable assay to accurately identify high-risk uveal melanoma patients.


2015 ◽  
Vol 1 (3) ◽  
pp. 151-160 ◽  
Author(s):  
Hua Yang ◽  
Jinfeng Cao ◽  
Hans E. Grossniklaus

2021 ◽  
Author(s):  
Yan Sun ◽  
Xiaoran Wang ◽  
Baoxin Chen ◽  
Lang Xiong ◽  
Jingqi Huang ◽  
...  

Abstract Half of the patients with primary uveal melanoma will develop progressive metastasis, leading to high mortality rate. Autophagy has been demonstrated to engage in metastasis in multiple tumors. Detection, diagnosis and treatment at the early-stage of uveal melanoma may help prevent potential tumor progression and optimize the prognosis. The purpose of our study was to discover autophagy-related genes (ARGs) correlated with uveal melanoma metastasis and determine their prognostic values. We analyzed the gene expression profiles and the clinical data from the Gene Expression Omnibus (GEO) database in uveal melanoma. A total of 14 and 16 differentially expressed ARGs were identified to be related to uveal melanoma metastasis from GSE22138 and GSE27831 sets. The two datasets shared three common genes including RAF1, CDKN1A and WIPI1 that occupied the core positions in the Protein-Protein Interactions (PPI) Network of ARGs. Following that, TCGA was introduced for survival analysis of the three genes. The survival analysis showed that high expression of RAF1 was related to favorable prognosis of uveal melanoma, whereas high expression of CDKN1A and WIPI1 suggested poor prognosis. Then a three-ARG based prognostic risk score model was constructed to predict survival outcomes. Univariate and multivariate Cox regression analyses indicated that the risk score can be considered as an independent prognostic factor for uveal melanoma, exhibiting good accuracy and sensitivity. In summary, we established an autophagy-related prognostic model based on uveal melanoma metastasis, which may contribute to the detection of early metastasis and prediction of prognosis, thereby prolonging survival through early personalized intervention.


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