Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
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ARVO Annual Meeting Abstract  |   June 2020
Gene Expression Changes Associated with Uveal Melanoma Metastasis
Author Affiliations & Notes
  • Ashok Sharma
    Augusta University, Augutsa, Georgia, United States
  • TaeJin Lee
    Augusta University, Augutsa, Georgia, United States
  • Rebekah Robinson
    Augusta University, Augutsa, Georgia, United States
  • Sai Karthik Kodeboyina
    Augusta University, Augutsa, Georgia, United States
  • Lane Ulrich
    Augusta University, Augutsa, Georgia, United States
  • Kathryn E Bollinger
    Augusta University, Augutsa, Georgia, United States
  • Shruti Sharma
    Augusta University, Augutsa, Georgia, United States
  • Footnotes
    Commercial Relationships   Ashok Sharma, None; TaeJin Lee, None; Rebekah Robinson, None; Sai Karthik Kodeboyina, None; Lane Ulrich, None; Kathryn Bollinger, None; Shruti Sharma, None
  • Footnotes
    Support  Start-Up Package to Ashok Sharma from Medical College of Georgia at Augusta University, Augusta, GA, USA
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 2845. doi:
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    • Get Citation

      Ashok Sharma, TaeJin Lee, Rebekah Robinson, Sai Karthik Kodeboyina, Lane Ulrich, Kathryn E Bollinger, Shruti Sharma; Gene Expression Changes Associated with Uveal Melanoma Metastasis. Invest. Ophthalmol. Vis. Sci. 2020;61(7):2845.

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

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Abstract

Purpose : Survival of patients affected by uveal melanoma (UVM), a major intraocular cancer, is greatly reduced by the development of metastasis, with one year survival being less than 20%. The molecular tumor characteristics associated with metastasis are not clear. The purpose of this study was to discover the gene expression changes between non-metastatic and metastatic UVM cases and evaluate their prognostic significance.

Methods : We utilized the UVM RNA-seq dataset from The Cancer Genome Atlas (TCGA) to discover the genes associated with UVM metastasis and survival. Differential expression analyses between metastatic and non-metastatic tumors were performed using the “limma” R package. The hazard ratios (HR) were computed using Cox proportional hazards model to correlate differentially expressed genes with survival. Bioinformatics analyses were conducted to identify associated biological functions and pathways.

Results : A total of 646 genes (>2-fold) were differentially expressed between metastatic and non-metastatic tumors (p<0.01) and 328 genes were significantly correlated with patient survival. The top five genes upregulated in metastasis and associated with reduced survival include, HTR2B (FC=24.12; HR=5.85), RIMS2 (FC=9.91; HR=6.79), VGF (FC=8.58; HR=8.71), MYEOV (FC=8.38; HR=7.33), and ISM1 (FC=7.22; HR=10.07). The top 5 genes downregulated in metastasis and associated with enhanced survival include, GSAT3 (FC= -10.81; HR=0.07), GATA4 (FC= -10.71; HR=0.04), MYO7B (FC= -7.40; HR=0.18), COL11A1 (FC= -6.56, HR=0.17), and SYNPR (FC= -6.42; HR=0.13). Functional annotation of the differentially expressed genes revealed a number of molecular and cellular functions including cell movement, growth, proliferation, and development.

Conclusions : We identified several differentially expressed genes associated with metastasis in UVM patients. The genes significantly and highly correlated with patient survival may serve as potential prognostic factors or therapeutic targets. Several genes belonged to functional categories associated with cell movement and homeostasis, indicating their significance in metastasis. The findings from this study would aid in the development of prognostic and predictive biomarkers for metastatic UVM.

This is a 2020 ARVO Annual Meeting abstract.

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