Vascular lakes in uveal melanoma and their association with outcome

Jones, Hayley and Kalirai, Helen and Taktak, Azzam and Chen, Ke and Coupland, Sarah E. (2022) Vascular lakes in uveal melanoma and their association with outcome. Translational Vision Science and Technology, 11 (3). 32. ISSN 2164-2591 (https://doi.org/10.1167/tvst.11.3.32)

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Abstract

Purpose: Prognostic predictors in uveal melanoma (UM) consist of clinical, histomor-phologic, and genetic features. Vascular lakes (VLs) are immature blood vessels within UM with unknown significance for metastatic risk. Methods: A clinically well-phenotyped cohort of 136 hematoxylin and eosin–stained slides of UM enucleation specimens were retrospectively analyzed on scanned whole-slide images. These were annotated for VL in QuPath, assessing VL number and area. Using SPSS (V27.0), the Mann–Whitney U test and Cox regression were applied to evaluate whether there was any correlation between VL number and area within the tumor (VL-TA) compared with other prognostic parameters and patient survival times. Results: UMs with monosomy 3 (M3) have significant differences in their VL numbers (P = 0.008) and VL-TA ratios (P = 0.002) compared with disomy 3-UM. Nuclear BAP1-negative (nBAP1– ) UMs have significant differences in their VL-TA ratio (P = 0.002) compared to nBAP1+ UMs. Survival times of patients with UM with epithelioid-celled tumors varied depending on their VL-TA ratio (P = 0.057). Similarly, in M3-UM, significant differences in survival (P = 0.009) were seen in patients, depending on VL number. Finally, patients with UM with shorter overall survival showed significant differences in their tumor VL-TA ratios (P = 0.043) and the number of VLs present (P = 0.002) than patients with UM who had longer survival. Conclusions: Our pilot data suggest that VL-TA is an additional poor prognostic param-eter in UM. Translational Relevance: Digital analysis of UM can be easily performed to assess various prognostic parameters. Our pilot study demonstrates that UM-VL could be combined with other parameters to determine metastatic risk of patients with UM.

  • Item type:Article
    ID code:87116
    Dates:
    Date
    Event
    29 March 2022
    Published
    10 March 2022
    Accepted
    3 January 2022
    Submitted
    Subjects:Science > Mathematics
    Department:Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:30 Oct 2023 15:09
    Last modified:09 Apr 2024 04:22
    URI:https://strathprints.strath.ac.uk/id/eprint/87116
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