Gene Expression Profiling and PRAME Status Versus Tumor-Node-Metastasis Staging for Prognostication in Uveal Melanoma

Cai, Louis; Paez-Escamilla, Manuel; Walter, Scott D.; Tarlan, Berçin; Decatur, Christina L.; Perez, B.M.; Harbour, J. William

doi:10.1016/j.ajo.2018.07.045

Cited by 54 publications

(39 citation statements)

References 27 publications

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“…29 Moreover, it has been demonstrated by other groups that incorporating clinical, histologic, and genomic information from GEP and other validated commercial tests can enhance prognostication in a more individualized manner. [13][14][15][16][17]30 As GEP and AJCC are among the most commonly employed prognostic tools, further exploration of their particular relationship is a necessary step towards providing the most accurate prognostic information to our patients.…”

Section: Discussionmentioning

confidence: 99%

Correlation of Gene Expression Profile Status and American Joint Commission on Cancer Stage in Uveal Melanoma

Berry

Schefler

Seider

et al. 2020

Retina

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Purpose: To study the relationship between gene expression profile (GEP) sub-class and AJCC stage in uveal melanoma (UM) patients. Methods: A retrospective, multi-center study was undertaken with patients entered from 9 major ocular oncology centers from across the United States. 360 eligible patients had UM and underwent I-1 2 5 plaque brachytherapy with concurrent tumor biopsy with GEP testing between January 1, 2010 and October 28, 2014. Patient demographics and UM features were analyzed by both GEP and AJCC status. Results: GEP class divided the cohort into three groups: Class 1a (n=186), Class 1b (n=77) and Class 2 (n=113). When classified using AJCC staging criteria, we found the following: Stage I in

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Section: Discussionmentioning

confidence: 99%

Correlation of Gene Expression Profile Status and American Joint Commission on Cancer Stage in Uveal Melanoma

Berry

Schefler

Seider

et al. 2020

Retina

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“…To determine patients at higher risk for developing metastatic disease, clinical or histopathologic risk factors are considered [ 2 ]. More recently, gene expression analysis (i.e., gene expression profiling [GEP] and preferentially expressed antigen in melanoma [PRAME] status) after direct surgical tumor sampling has enhanced prognostic accuracy [ 3 – 5 ]. While tumor biopsies are beneficial for assessing mortality risk, they are still subject to certain risks (e.g., risk of retinal detachment and tumor dissemination) and not amenable to repeat testing [ 3 – 5 ].…”

Section: Main Textmentioning

confidence: 99%

Liquid biopsy proteomics of uveal melanoma reveals biomarkers associated with metastatic risk

et al. 2021

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“…We found that the prognostic model based on LBTD alone performed reasonably well across the time range of 2 to10 years (C-indices, 0.74–0.79) without the inclusion of ciliary body involvement, tumor thickness, and extraocular spread. Cai et al 32 reported similar findings. These predictors would have improved prognostication slightly, as with TNM staging (C-indices, 0.76–0.81).…”

Section: Discussionmentioning

confidence: 56%

“…This committee may also investigate whether to retain or omit predictors that lose significance (i.e., ciliary body involvement and tumor thickness) when genetic data are entered into their models, as we have shown in this study and as others have shown previously. 32 If our approach is validated externally and adopted by the AJCC committee, it may increase the uptake of TNM staging if generally found to be more convenient than the current system, especially as it allows anatomic predictors to be combined with genetic data. Some authors favor gene expression profiling, but this is not widely available outside the United States.…”

Section: Discussionmentioning

confidence: 99%

Parsimonious Models for Predicting Mortality from Choroidal Melanoma

Damato

Eleuteri

Hussain

et al. 2020

Invest. Ophthalmol. Vis. Sci.

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To develop parsimonious models for estimating metastasis mortality in patients with choroidal melanoma for situations where use of the Liverpool Uveal Melanoma Prognosticator Online (LUMPO) or Tumor, Node, Metastasis (TNM) staging system is not possible. METHODS. A backward-selection algorithm identified largest basal tumor diameter (LBTD) and chromosome 3 status (C3S) as the most informative predictors of metastatic death. We defined two prognostic models, based on LBTD with or without known C3S, that took into account competing risks of death from other causes by using the Aalen estimator. The bootstrap procedure was used to estimate discrimination accuracy, expressed by the C-index. RESULTS. The cohort was comprised of 8348 patients with choroidal melanoma, 4174 of whom had known chromosome 3 status; of the 1553 deaths that occurred among these patients, 956 were attributed to metastasis. For LBTD with or without known C3S, the metastatic-death-specific C-indices at 2, 5, and 10 years were 0.85, 0.85, and 0.84 and 0.79, 0.77, and 0.74, respectively, as compared with 0.81, 0.79, and 0.76 for Kaplan-Meier prognostication using the 8th edition of the TNM staging system. CONCLUSIONS. We have developed parsimonious models for predicting the absolute risks of metastatic death from choroidal melanoma that take into account competing causes of death and which compare favorably with the current version of the TNM staging system. There is a need for further studies to validate the use of these models in situations where use of the TNM or LUMPO is not possible.

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Gene Expression Profiling and PRAME Status Versus Tumor-Node-Metastasis Staging for Prognostication in Uveal Melanoma

Abstract: In UM, molecular prognostic testing using GEP and PRAME provides prognostic accuracy that is superior to TNM staging.

Cited by 54 publications

References 27 publications

Correlation of Gene Expression Profile Status and American Joint Commission on Cancer Stage in Uveal Melanoma

Correlation of Gene Expression Profile Status and American Joint Commission on Cancer Stage in Uveal Melanoma

Liquid biopsy proteomics of uveal melanoma reveals biomarkers associated with metastatic risk

Parsimonious Models for Predicting Mortality from Choroidal Melanoma

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