Related Experiment Video
Updated: Jan 28, 2026

Isolated Hepatic Perfusion as a Treatment for Liver Metastases of Uveal Melanoma
Published on: January 25, 2015
Clinical predictors of survival in metastatic uveal melanoma
Daniel Lorenzo1, Josep Maria Piulats2, María Ochoa2
1Department of Ophthalmology, Bellvitge University Hospital, Feixa Llarga, s/n, 08907, L'Hospitalet de Llobregat, Barcelona, Spain. dlorenzo@bellvitgehospital.cat.
Purpose:
To determine the clinical factors that influence survival in patients with metastatic uveal melanoma.
Study Design:
Single-center, retrospective review of patients' medical records.
Methods:
The following data of ninety-nine consecutive patients (49 men, 50 women) with metastatic uveal melanoma were registered: patient demographics; primary tumor characteristics; features of first melanoma-related metastasis; symptoms and patient status at distant disease debut and metastasis treatment. Overall survival was analyzed by Kaplan-Meier estimates. A Cox proportional hazards regression model was applied to identify independent predictors associated with survival.
Results:
Mean patient age at metastatic diagnosis was 60.7 years (standard deviation, 12.8). The liver was the first metastatic site in most (92.9%) cases. The median disease-free interval was 26 months (interquartile range, 34). Median overall survival after detection of the first metastasis was 8 months (interquartile range, 14). The baseline characteristics of the primary uveal melanoma were not associated with survival in patients with stage IV disease. In the multivariate analysis, the following factors at first metastatic diagnosis were associated with improved overall survival: disease-free interval > 36 months; better performance status; and normal serum lactate dehydrogenase and gamma glutamyl transpeptidase levels. Overall survival was not influenced by specific metastatic treatment.
Conclusion:
Although metastatic uveal melanoma has a poor prognosis, this study reveals the existence of several independent prognostic factors for prolonged overall survival. These findings may help improve survival estimates in patients with advanced disease.
Related Concept Videos
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Survival Tree
Building a Survival Tree
Constructing a...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Comparing the Survival Analysis of Two or More Groups
Truncation in Survival Analysis
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
Assumptions of Survival Analysis

