Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Collaborative Ocular Oncology Group study 2 (COOG2): Prospective multi-center validation of the 15-gene expression profile (GEP)/PRAME molecular prognostic tool for uveal melanoma in 1586 patients
Author Affiliations & Notes
  • Zelia Correa
    Ophthalmology, University of Miami Miller School of Medicine, Miami, Florida, United States
    University of Miami, Sylvester Cancer Center, Miami, Florida, United States
  • J William Harbour
    Ophthalmology, The University of Texas Southwestern Medical Center, Dallas, Texas, United States
  • Footnotes
    Commercial Relationships   Zelia Correa Castle Biosciences, Inc, Code C (Consultant/Contractor); J William Harbour Castle Biosciences, Code C (Consultant/Contractor), IDEAYA Biosciences, Code C (Consultant/Contractor), Immunocore, Code C (Consultant/Contractor), Aura Biosciences, Code C (Consultant/Contractor), National Institutes of Health, Code F (Financial Support), Cancer Prevention and Research Institute of Texas, Code F (Financial Support), Washington University in St. Louis, Code P (Patent)
  • Footnotes
    Support  R01CA125970 (JWH), P30CA240139 (Sylvester Comprehensive Cancer Center), NIH Core Grant P30EY014801 (Bascom Palmer Eye Institute), Research to Prevent Blindness Unrestricted Grant (Bascom Palmer Eye Institute)
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 4273. doi:
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      Zelia Correa, J William Harbour; Collaborative Ocular Oncology Group study 2 (COOG2): Prospective multi-center validation of the 15-gene expression profile (GEP)/PRAME molecular prognostic tool for uveal melanoma in 1586 patients. Invest. Ophthalmol. Vis. Sci. 2024;65(7):4273.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To validate the accuracy of the 15-GEP/PRAME enhanced prognostic tool for uveal melanoma (UM) in a prospective, multi-center setting.

Methods : The Collaborative Ocular Oncology Group Study Number 2 (COOG2) enrolled 1586 patients with UM involving the choroid and/or ciliary body across 26 ocular oncology centers in the United States and Canada between April 2017 and April 2020. Each center obtained IRB approval. All patients underwent testing for the 15-GEP and PRAME expression status (negative or positive) using the DecisionDx-UMTM and DecisionDx-PRAMETM (Castle Biosciences, Inc., Friendswood, TX) tests, respectively. Primary endpoint was metastasis-free survival (MFS).

Results : Among 1586 patients enrolled in the study, 15-GEP was Class 1 in 1084 (68.3%) and Class 2 in 502 (31.7%) patients. PRAME status was negative in 1111 (70.1%) and positive in 475 (29.9%) patients. Class 1 tumors were subclassified as Class 1A in 694 (43.8%) and Class 1B in 390 (24.6%) patients. Five-year MFS was 95.6% (95% CI, 93.9-97.4) for Class 1/PRAME-, 80.6% (73.9-87.9) for Class 1/PRAME+, 57.6% (50.6-65.7) for Class 2/PRAME-, and 44.8% (38.0-52.8) for Class 2/PRAME+ (see Figure). MFS was not significantly different between Class 1A and Class 1B (Chi-squared = 0.16784, df = 1, P = 0.682). In multivariable Cox proportional hazards analysis, 15-GEP was the most robust independent predictor of MFS (HR 6.03; 95% CI, 4.49-8.09); P<0.001), followed by PRAME status (HR 1.77; 95% CI, 1.39-2.27; P<0.001). The only clinical feature demonstrating prognostic value independent of 15-GEP and PRAME was tumor diameter (C-statistic, 0.81 versus 0.85, respectively; P<0.001).

Conclusions : In the largest and most representative prospective multicenter biomarker study to date in UM, the prognostic accuracy of 15-GEP was confirmed, and the independent prognostic value of PRAME status was validated. PRAME status was shown to be superior to the 1A/1B system for class 1 tumors. The integration of 15-GEP and PRAME into a single prognostic classifier renders clinical prognostic factors superfluous except for tumor diameter. This prognostic system sets a new standard of prognostic accuracy in uveal melanoma.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

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