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A number of patient-reported outcomes (PROs) predict increased mortality after primary cancer treatment. Studies, though, are sometimes affected by methodological limitations. They often use control variables that poorly predict life expectancy, examine only one or two PROs thus not controlling potential confounding by unmeasured PROs, and observe PROs at only a single point in time. To predict all-cause mortality, this study used control variables affording good estimates of life expectancy, conducted multivariate analyses of multiple PROs to identify independent predictors, and monitored PROs two years after diagnosis. We recruited a consecutive sample of 824 patients with uveal melanoma between April 2008 and December 2014. PROs were variables shown to predict mortality in previous studies; anxiety, depression, visual and ocular symptoms, visual function impairment, worry about cancer recurrence, and physical, emotional, social and functional quality of life (QoL), measured 6, 12 and 24 months after diagnosis. We conducted Cox regression analyses with a census date of December 2018. Covariates were age, gender, marital and employment status, self-reported co-morbidities, tumor diameter and thickness, treatment modality and chromosome 3 mutation status, the latter a genetic mutation strongly associated with mortality. Single predictor analyses (with covariates), showed 6-month depression and poorer functional QoL predicting mortality, as did 6-12 month increases in anxiety and 6-12 month decreases in physical and functional QoL. Multivariate analyses using all PROs showed independent prediction by 6-month depression and decreasing QoL over 6-12 months and 12-24 months. Elevated depression scores six months post-diagnosis constituted an increased mortality risk. Early intervention for depressive symptoms may reduce mortality., Author(s): Stephen L. Brown [sup.1] , Peter L. Fisher [sup.1] , Laura Hope-Stone [sup.1] [sup.2] , Heinrich Heimann [sup.2] , Rumana Hussain [sup.2] , M. Gemma Cherry [sup.1] Author Affiliations: [...]

Objective: Fear of cancer recurrence (FCR) may develop into elevated anxiety or depression symptoms, but few risk factors for this development are known. Objective recurrence risk estimation is possible in some cancers. Using theories of risk communication and phobias, we examined whether the proportionality of FCR to known objective recurrence risk influences the development of anxiety and depression symptoms. Method: Uveal melanoma (UM) patients can opt for reliable prognostic testing. Patients experience either a 'good' or 'poor' prognostic outcome, whereby 10‐year mortality due to metastatic disease is, respectively, low or high. In a five‐year prospective study of a consecutive sample of 589 UM survivors, we used random intercept cross lagged panel analyses to examine whether proportionality differentially influences whether FCR progresses to anxiety and depression. Results: Positive cross paths predicting anxiety from FCR were stronger in the poor prognosis group than the good prognosis and not tested groups. Prognostic group differences were not evident for depression. Conclusions: FCR was more likely to progress to elevated anxiety symptoms when proportionate to the known objective recurrence risk. Objective evidence may play a prominent role in the development and structure of fear because it assumes a high epistemic weight that activates a wide range of emotional and cognitive responses. Interventions that assist survivors to tolerate FCR in the presence of higher recurrence risks may be important in reducing anxiety symptoms. [ABSTRACT FROM AUTHOR]

PurposeTo determine underlying correlations in multiplex ligation-dependent probe amplification (MLPA) data and their significance regarding survival following treatment of choroidal melanoma (CM).MethodsMLPA data were available for 31 loci across four chromosomes (1p, 3, 6, and 8) in tumor material obtained from 602 patients with CM treated at the Liverpool Ocular Oncology Center (LOOC) between 1993 and 2012. Data representing chromosomes 3 and 8q were analyzed in depth since their association with CM patient survival is well-known. Unsupervised k-means cluster analysis was performed to detect latent structure in the data set. Principal component analysis (PCA) was also performed to determine the intrinsic dimensionality of the data. Survival analyses of the identified clusters were performed using Kaplan-Meier (KM) and log-rank statistical tests. Correlation with largest basal tumor diameter (LTD) was investigated.ResultsChromosome 3: A two-cluster (bimodal) solution was found in chromosome 3, characterized by centroids at unilaterally normal probe values and unilateral deletion. There was a large, significant difference in the survival characteristics of the two clusters (log-rank, p