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PURPOSEValidated and accurate prognostic testing is critical for precision medicine in uveal melanoma (UM). Our aims were to (1) prospectively validate an integrated prognostic classifier combining a 15-gene expression profile (15-GEP) and PRAME RNA expression and (2) identify clinical variables that enhance the prognostic accuracy of the 15-GEP/ PRAME classifier.MATERIALS AND METHODSThis study included 1,577 patients with UM of the choroid and/or ciliary body who were enrolled in the Collaborative Ocular Oncology Group Study Number 2 (COOG2) and prospectively monitored across 26 North American centers. Test results for 15-GEP (class 1 or class 2) and PRAME expression status (negative or positive) were available for all patients. The primary end point was metastasis-free survival (MFS).RESULTS15-GEP was class 1 in 1,082 (68.6%) and class 2 in 495 (31.4%) patients. PRAME status was negative in 1,106 (70.1%) and positive in 471 (29.9%) patients. Five-year MFS was 95.6% (95% CI, 93.9 to 97.4) for class 1/ PRAME (-), 80.6% (95% CI, 73.9 to 87.9) for class 1/ PRAME (+), 58.3% (95% CI, 51.1 to 66.4) for class 2/ PRAME (-), and 44.8% (95% CI, 37.9 to 52.8) for class 2/ PRAME (+). By multivariable Cox proportional hazards analysis, 15-GEP was the most important independent predictor of MFS (hazard ratio [HR], 5.95 [95% CI, 4.43 to 7.99]; P < .001), followed by PRAME status (HR, 1.82 [95% CI, 1.42 to 2.33]; P < .001). The only clinical variable demonstrating additional prognostic value was tumor diameter.CONCLUSIONIn the largest prospective multicenter prognostic biomarker study performed to date in UM to our knowledge, the COOG2 study validated the superior prognostic accuracy of the integrated 15-GEP/ PRAME classifier over 15-GEP alone and clinical prognostic variables. Tumor diameter was found to be the only clinical variable to provide additional prognostic information. This prognostic classifier provides an advanced resource for risk-adjusted metastatic surveillance and adjuvant trial stratification in patients with UM.

Single-cell RNA sequencing (scRNA-seq) has been a transformative technology in many research fields. Dimensional reduction techniques such as UMAP and tSNE are used to visualize scRNA-seq data in two or three dimensions for cells to be clustered in biologically meaningful ways. Subsequently, gene expression is frequently mapped onto these plots to show the distribution of gene expression across the plots, for instance to distinguish cell types. However, plotting each cell with only a single color leads to repetitive and unintuitive representations. Here, we present PieParty, which allows scRNA-seq data to be plotted such that every cell is represented as a pie chart, and every slice in the pie charts corresponds to the gene expression of a single gene. This allows for the simultaneous visualization of the expression of multiple genes and gene networks. The resulting figures are information dense, space efficient, and highly intuitive. PieParty is publicly available on GitHub at https://github.com/harbourlab/PieParty., (© 2021 Stefan et al.)

Purpose: To compare the prognostic accuracy of gene expression profiling (GEP) combined with PRAME status vs the clinical Tumor-Node-Metastasis (TNM) staging in patients with uveal melanoma (UM)., Design: Retrospective cohort study., Methods: The study included 240 consecutive patients with UM. Tumors were assessed for GEP status (Class 1 or Class 2) using a validated 15-gene assay and PRAME expression status using quantitative polymerase chain reaction. TNM staging was according to the American Joint Committee on Cancer 8th edition. Statistical analysis included univariate and multivariate Cox proportional hazard models. Metastasis was the primary endpoint., Results: GEP was Class 1 in 128 (53.3%) cases and Class 2 in 112 (46.7%) cases. PRAME status was negative in 157 (65.4%) cases and positive in 83 (34.6%) cases. TNM was stage I in 26 (10.8%) cases, IIA in 67 (27.9%) cases, IIB in 50 (20.8%) cases, IIIA in 59 (24.6%) cases, and IIIB in 38 (15.8%) cases. Metastatic disease was detected in 59 (24.6%) cases after median follow-up of 29 months (mean 42 months; range 1-195 months). Variables associated with metastasis included (in order of decreasing significance): GEP class (P = 1.5 × 10 -8 ), largest basal tumor diameter (P = 2.5 × 10 -6 ), PRAME status (P = 2.6 × 10 -6 ), and TNM stage (P = 3.7 × 10 -6 ). The prognostic accuracy of an optimized 3-category GEP/PRAME model (P = 8.6 × 10 -14 ) was superior to an optimized TNM model (P = 1.3 × 10 -5 )., Conclusions: In UM, molecular prognostic testing using GEP and PRAME provides prognostic accuracy that is superior to TNM staging., (Copyright © 2018 Elsevier Inc. All rights reserved.)