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
Novel Long Non-Coding RNAs Associated with BAP1 Mutations in Uveal Melanoma
Author Affiliations & Notes
  • Daniel Rodriguez
    Bascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, and Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Grant Gordan
    Bascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, and Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Michael Durante
    Bascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, and Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Jeffim Kuznetsov
    Bascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, and Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, Florida, United States
  • J William Harbour
    Bascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, and Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Footnotes
    Commercial Relationships   Daniel Rodriguez, None; Grant Gordan, None; Michael Durante, None; Jeffim Kuznetsov, None; J William Harbour, Castle Biosciences (C), Castle Biosciences (P)
  • Footnotes
    Support   This work was supported by National Cancer Institute grants R01 CA125970 (JWH) and F31 CA243426 (DR), Alcon Research Institute (JWH), Research to Prevent Blindness, Inc. Senior Scientific Investigator Award (JWH), the University of Miami Miller School of Medicine Medical Scientist Training Program (DR), the University of Miami Sheila and David Fuente Graduate Program in Cancer Biology (DR), and a generous gift from Dr. Mark J. Daily (JWH). The Bascom Palmer Eye Institute also received funding from NIH Core Grant P30 EY014801 and a Research to Prevent Blindness Unrestricted Grant. The Sylvester Comprehensive Cancer Center also received funding from the National Cancer Institute Core Support grant P30 CA240139. We are grateful to the patients who generously contributed samples for this research. We acknowledge the support of the Biostatistics & Bioinformatics and Oncogenomics Shared Resources at the Sylvester Comprehensive Cancer Center, and the University of Miami Center for Computational Science.
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 4023. doi:
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      Daniel Rodriguez, Grant Gordan, Michael Durante, Jeffim Kuznetsov, J William Harbour; Novel Long Non-Coding RNAs Associated with BAP1 Mutations in Uveal Melanoma. Invest. Ophthalmol. Vis. Sci. 2020;61(7):4023.

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Abstract

Purpose : Uveal melanoma (UM) is a highly aggressive eye cancer that leads to metastatic death in up to half of patients. Recent genetic discoveries have made tremendous advancements in our understanding of UM and are paving the way to more effective precision management. UMs can be divided into two prognostic groups based on their gene expression profile (GEP). Class 1 tumors are associated with EIF1AX or SF3B1 mutations and low metastatic risk, while Class 2 tumors are associated with inactivating mutations in the tumor suppressor BAP1 and are highly metastatic. Class 1 and Class 2 UMs have been shown to differ in their expression of numerous known long non-coding RNAs (lncRNA). Here, we sought to identify novel differentially expressed lncRNAs in UM tumors.

Methods : RNA-Seq from 103 UM samples were analyzed. Quality controlled using FastQC (v0.11.3), and trimmed using trim-galor (v0.4.1). Sequences were aligned to the human genome (GRCh38) using STAR (v2.5). Transcript discovery was performed. Transcripts with a high probability of protein coding were discarded. Transcripts predicted to be non-coding with transcript length >200bps were retained. Counts for all known and novel transcripts were generated. Random forests based surpervised machine learning algorithm was used to assign a class status for 12 unknown UM samples. Differential expression was performed using DESeq2. Tumor specific lncRNA expression was then assessed through single cell sequencing of 11 UM samples.

Results : A cutoff of FPKM > 1 in at least 30% of tumors was used as a threshold for transcripts of interest, resulting in 104 novel transcripts, 32 of which were differentially expressed at FDR < 0.05 between Class 1 and Class 2 tumors. UM specific expression was performed via single cell RNAseq analysis on 8 primary and 3 metastatic samples. When compared to the microenvironment 10 lead lncRNAs showed expression solely in tumor cells. BAP1 was knocked out via crispr cas9 in uveal melanocyte (UMC) cell lines. Cell lines were validated and novel lncRNA expression was assessed.

Conclusions : These methods confirm the presence of uncharacterized lncRNAs that are specific to UM. Some of these lncRNAs have a strong association with the functionality of BAP1. Further work is underway to elucidate the function of these novel transcripts in UM pathogenesis and their interplay with BAP1.

This is a 2020 ARVO Annual Meeting abstract.

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