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Purpose: Uveal melanoma (UM) is a rare disease and the most common primary intraocular malignancy in adults, with a high risk of metastases. Reliable prognostication systems are based on anatomic features, as in the tumor-node-metastasis staging of the American Joint Committee on Cancer (AJCC) system, or on genetic information, as in The Cancer Genome Atlas (TCGA) system. Prior evidence suggests that combining both systems may be beneficial. We evaluated the benefit of combining the TCGA and AJCC systems in a large cohort of patients.

Design: Retrospective case series of patients with UM.

Participants: Nine hundred seventy-nine patients with a choroidal or ciliary body melanoma treated at the Wills Eye Hospital between 1998 and 2020, 94% of whom received eye-sparing treatment.

Methods: Tumors were classified into 4 TCGA groups based on chromosome copy number: A (disomy 3, normal 8q), B (disomy 3, any 8q gain), C (monosomy 3, 1 extra copy of 8q), and D (monosomy 3, multiple 8q gain). The eighth edition of the AJCC staging manual was used for AJCC staging. Cox regression and the log-rank test were used for survival analysis.

Main Outcome Measure: Metastasis-free survival.

Results: Combining information of the 2 systems improved prognostication in intermediate groups: in TCGA group C, we saw an increased rate of metastasis in AJCC stage III (28%) compared with stage II (8.9%); the same was seen in AJCC stage II, going from TCGA group C (8.9%) to group D (46%), and in AJCC stage III, going from group C (28%) to group D (49%). In patients with AJCC stage II or III disease, loss of chromosome 3 and gain of 8q (TCGA groups C and D) significantly worsened the prognosis, with multiple 8q gain (TCGA group D) having a greater impact.

Conclusions: Combining information from AJCC stages and TCGA groups yields a better predictive power even in this set of relatively small tumors. We propose that physicians take both systems into account whenever possible, especially in moderate-risk groups.

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http://dx.doi.org/10.1016/j.ophtha.2021.11.018DOI Listing

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