ArticleScientific reports2019
Regional perturbation of gene transcription is associated with intrachromosomal rearrangements and gene fusion transcripts in high grade ovarian cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Pattern recognition in the landscape of seemingly random chimeric transcripts.Computational and structural biotechnology journal · 2023Article
- Supervised promoter recognition: a benchmark framework.BMC bioinformatics · 2022Article
- RNA biomarkers from proximal liquid biopsy for diagnosis of ovarian cancer.Neoplasia (New York, N.Y.) · 2022Article
- Identification of a Novel Oncogenic Fusion GeneInternational journal of molecular sciences · 2022Article
- Heat Shock Proteins and HSF1 in Cancer.Frontiers in oncology · 2022Review
- Fusion genes in gynecologic tumors: the occurrence, molecular mechanism and prospect for therapy.Cell death & disease · 2021Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
Genomic rearrangements are a hallmark of cancer biology and progression, allowing cells to rapidly transform through alterations in regulatory structures, changes in expression patterns, reprogramming of signaling pathways, and creation of novel transcripts via gene fusion events. Though functional gene fusions encoding oncogenic proteins are the most dramatic outcomes of genomic rearrangements, we investigated the relationship between rearrangements evidenced by fusion transcripts and local expression changes in cancer using transcriptome data alone. 9,953 gene fusion predictions from 418 primary serious ovarian cancer tumors were analyzed, identifying depletions of gene fusion breakpoints within coding regions of fused genes as well as an N-terminal enrichment of breakpoints within fused genes. We identified 48 genes with significant fusion-associated upregulation and furthermore demonstrate that significant regional overexpression of intact genes in patient transcriptomes occurs within 1 megabase of 78 novel gene fusions that function as central markers of these regions. We reveal that cancer transcriptomes select for gene fusions that preserve protein and protein domain coding potential. The association of gene fusion transcripts with neighboring gene overexpression supports rearrangements as mechanism through which cancer cells remodel their transcriptomes and identifies a new way to utilize gene fusions as indicators of regional expression changes in diseased cells with only transcriptomic data.
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Registered trials
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