Long‐Read RNA Sequencing Identifies Alternative Splice Variants in Hepatocellular Carcinoma and Tumor‐Specific Isoforms
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AbstractAlternative splicing (AS) allows generation of cell type-specific mRNA transcripts and contributes to hallmarks of cancer. Genome-wide analysis for AS in human hepatocellular carcinoma (HCC), however, is limited. We sought to obtain a comprehensive AS landscape in HCC and define tumor-associated variants. Single-molecule real-time long-read RNA sequencing was performed on patient-derived HCC cells, and presence of splice junctions was defined by SpliceMap-LSC-IDP algorithm. We obtained an all-inclusive map of annotated AS variants and further discovered 362 alternative spliced variants that are not previously reported in any database (neither RefSeq nor GENCODE). They were mostly derived from intron retention and early termination codon with an in-frame open reading frame in 81.5%. We corroborated many of these predicted unannotated and annotated variants to be tumor specific in an independent cohort of primary HCC tumors and matching nontumoral liver. Using the combined Sanger sequencing and TaqMan junction assays, unique and common expressions of spliced variants including enzyme regulators (ARHGEF2, SERPINH1), chromatin modifiers (DEK, CDK9, RBBP7), RNA-binding proteins (SRSF3, RBM27, MATR3, YBX1), and receptors (ADRM1, CD44v8-10, vitamin D receptor, ROR1) were determined in HCC tumors. We further focused functional investigations on ARHGEF2 variants (v1 and v3) that arise from the common amplified site chr.1q22 of HCC. Their biological significance underscores two major cancer hallmarks, namely cancer stemness and epithelial-to-mesenchymal transition-mediated cell invasion and migration, although v3 is consistently more potent than v1. Conclusion: Alternative isoforms and tumor-specific isoforms that arise from aberrant splicing are common during the liver tumorigenesis. Our results highlight insights gained from the analysis of AS in HCC.
Acceptance Date28/12/2018
All Author(s) ListChen H, Gao F, He M, Ding XF, Wong AM, Sze SC, Yu AC, Sun T, Chan AW, Wang X, Wong N
Journal nameHepatology
Volume Number70
Issue Number3
Pages1011 - 1025
LanguagesEnglish-United Kingdom

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