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- Title
Prognostic Factors and Decision Tree for Long-Term Survival in Metastatic Uveal Melanoma.
- Authors
Lorenzo, Daniel; Ochoa, María; Maria Piulats, Josep; Gutiérrez, Cristina; Arias, Luis; Català, Jaume; Grau, María; Peñafiel, Judith; Cobos, Estefanía; Garcia-Bru, Pere; Javier Rubio, Marcos; Padrón-Pérez, Noel; Dias, Bruno; Pera, Joan
- Abstract
Purpose The purpose of this study was to demonstrate the existence of a bimodal survival pattern in metastatic uveal melanoma. Secondary aims were to identify the characteristics and prognostic factors associated with long-term survival and to develop a clinical decision tree. Materials and Methods The medical records of 99 metastatic uveal melanoma patients were retrospectively reviewed. Patients were classified as either short (P 12 months) or long-term survivors (≥ 12 months) based on a graphical interpretation of the survival curve after diagnosis of the first metastatic lesion. Ophthalmic and oncological characteristics were assessed in both groups. Results Of the 99 patients, 62 (62.6%) were classified as short-term survivors, and 37 (37.4%) as long-term survivors. The multivariate analysis identified the following predictors of long-term survival: age P 65 years (p=0.012) and unaltered serum lactate dehydrogenase levels (p=0.018); additionally, the size (smaller vs. larger) of the largest liver metastasis showed a trend towards significance (p=0.063). Based on the variables significantly associated with long-term survival, we developed a decision tree to facilitate clinical decision-making. Conclusion The findings of this study demonstrate the existence of a bimodal survival pattern in patients with metastatic uveal melanoma. The presence of certain clinical characteristics at diagnosis of distant disease is associated with long-term survival. A decision tree was developed to facilitate clinical decision-making and to counsel patients about the expected course of disease.
- Subjects
UVEAL diseases; MEDICAL records; MULTIVARIATE analysis; CANCER patients; MELANOMA
- Publication
Cancer Research & Treatment, 2018, Vol 50, Issue 4, p1130
- ISSN
1598-2998
- Publication type
Article
- DOI
10.4143/crt.2017.171