ReviewBriefings in bioinformatics2023
Recent advances in cancer fusion transcript detection.
Review in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
40 citing papers in PubMed.
- Review
- Integrating molecular subtypes, genomics and functional dependencies to identify context-specific therapeutic vulnerabilities in small cell lung cancer.Biomarker research · 2026Review
- Fusion gene heterogeneity and kinase enrichment in high-grade serous carcinomas.Neoplasia (New York, N.Y.) · 2026Article
- Cancer-associated fusion transcripts: mechanisms, functional roles, and clinical implications.Clinical and experimental medicine · 2026Review
- Characteristics of fusion genes in breast cancer.Cancer cell international · 2026Review
- The hidden sources of spurious fusion transcripts in plants.Genome biology · 2026Article
- MYCN and helicases DDX17 and DDX5 have opposite effects on the production of readthrough-associated chimeric transcripts.Cellular and molecular life sciences : CMLS · 2026Article
- Proof-of-concept study for the detection of somatic structural variant driver alterations using HiFi long-read sequencing in a pediatric leukemia cohort.NPJ genomic medicine · 2026Article
- IFDlong: a model-based isoform and fusion detector for accurate annotation and quantification of long-read RNA-seq data.Genome biology · 2026Article
- Long-Read Transcriptome Sequencing and Functional Validation Reveals Novel and Oncogenic Gene Fusions in Fusion Panel-Negative Gliomas.bioRxiv : the preprint server for biology · 2026Article
- Detection of known gene fusions in cancer cell lines using whole-genome bisulfite sequencing data.Scientific reports · 2026Article
- Article
- Systematic fusion transcript discovery in mantle cell lymphoma using long-read sequencing.bioRxiv : the preprint server for biology · 2026Article
- A de novo assembly based fusion gene detection concept based on DNA-seq data of 100 Ewing sarcoma cases.Briefings in bioinformatics · 2026Article
- Unveiling the clinical impact of plasma-only mutations in non-small cell lung cancer: a Korean multicenter experience.Translational lung cancer research · 2025Article
- Bioinformatics frameworks for single-cell long-read sequencing: unlocking isoform-level resolution.Briefings in bioinformatics · 2025Review
- Informatics at the Frontier of Cancer Research.Cancer research · 2025Review
- Article
- Characterization of fusion transcripts in AML without recurrent genetic abnormalities unravels new putative fusion genes.Blood neoplasia · 2025Article
- Deciphering IGH rearrangement complexity and detection strategies in acute lymphoblastic leukaemia.NPJ precision oncology · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Extensive investigation of gene fusions in cancer has led to the discovery of novel biomarkers and therapeutic targets. To date, most studies have neglected chromosomal rearrangement-independent fusion transcripts and complex fusion structures such as double or triple-hop fusions, and fusion-circRNAs. In this review, we untangle fusion-related terminology and propose a classification system involving both gene and transcript fusions. We highlight the importance of RNA-level fusions and how long-read sequencing approaches can improve detection and characterization. Moreover, we discuss novel bioinformatic tools to identify fusions in long-read sequencing data and strategies to experimentally validate and functionally characterize fusion transcripts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.