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Specific human endogenous retroviruses predict metastatic potential in uveal melanoma
Matthew L. Bendall, Jasmine H. Francis, Alexander N. Shoushtari, Douglas F. Nixon
Matthew L. Bendall, Jasmine H. Francis, Alexander N. Shoushtari, Douglas F. Nixon
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Research Article Microbiology Oncology

Specific human endogenous retroviruses predict metastatic potential in uveal melanoma

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Abstract

Uveal melanoma (UM) is a unique disease in that patients with primary UM are well stratified based on their risk of developing metastasis, yet there are limited effective treatments once metastases occur. There is an urgent need to better understand the distinct molecular pathogenesis of UM and the characteristics of patients at high risk for metastasis to identify neoantigenic targets that can be used in immunotherapy and to develop novel therapeutic strategies that may effectively target this lethal transition. An important and overlooked area of molecular pathogenesis and neoantigenic targets in UM comes from human endogenous retroviruses (HERVs). We investigated the HERV expression landscape in primary UM and found that tumors were stratified into 4 HERV-based subsets that provide clear delineation of risk outcome and support subtypes identified by other molecular indicators. Specific HERV loci are associated with the risk of uveal melanoma metastasis and may offer mechanistic insights into this process, including dysregulation of HERVs on chromosomes 3 and 8. A HERV signature composed of 17 loci was sufficient to classify tumors according to subtype with greater than 95% accuracy, including at least 1 intergenic HERV with coding potential (HERVE_Xp11.23) that could represent a potential HERV E target for immunotherapy.

Authors

Matthew L. Bendall, Jasmine H. Francis, Alexander N. Shoushtari, Douglas F. Nixon

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Figure 3

Differential HERV expression among UM subtypes.

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Differential HERV expression among UM subtypes.
(A) Volcano plot showing...
(A) Volcano plot showing significance (-log10 [adj. p value]) and effect size (log2 [fold change]) for differences in HERV expression between UM subtypes HC1/2 and HC3/4. Dashed lines are shown at significance and effect size thresholds (FDR < 1e-3, abs [log2 fold change] > 1.5) and HERVs that meet both thresholds are shown in red. HERVs with the greatest significance or effect size are labeled. (B) HERV transcriptional burden represented by overall proportion of reads that originate from HERV transcripts, by cluster. (C) GSEA enrichment plots for HML2 and HERV9 families. All genes are ordered by rank with vertical ticks indicating membership within the gene set; the running sum enrichment statistic is shown in green; and red dashed lines indicate the maximum and minimum enrichment scores. (D) Volcano plots, as in A, showing HERV significance and effect size significant HERVs for each cluster. Each plot shows the contrasts for 1 cluster compared with the average of the other 3 HERV clusters.

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ISSN 2379-3708

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