ReviewBriefings in bioinformatics2013
Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives.
Review in Briefings in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02555969 (Minimal Residual Disease as a Possible Predictive Factor for Relapse in Patients With AL Amyloidosis), which is not on this map. Cited by 60 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Minimal Residual Disease as a Possible Predictive Factor for Relapse in Patients With AL Amyloidosis
Who cites it
60 citing papers in PubMed.
- Fusion genes in cancers: Biogenesis, functions, and therapeutic implications.Genes & diseases · 2025Review
- Accurate fusion transcript identification from long- and short-read isoform sequencing at bulk or single-cell resolution.Genome research · 2025Article
- Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025Review
- The landscape of fusion transcripts in plants: a new insight into genome complexity.BMC plant biology · 2024Article
- CTAT-LR-fusion: accurate fusion transcript identification from long and short read isoform sequencing at bulk or single cell resolution.bioRxiv : the preprint server for biology · 2024Article
- A Protocol for the Detection of Fusion Transcripts Using RNA-Sequencing Data.Methods in molecular biology (Clifton, N.J.) · 2024Article
- TargetedCell reports methods · 2023Article
- A genomic DNA-based NGS method for the simultaneous detection of multiple fusion genes in pediatric leukemia.Oncology letters · 2023Article
- Comprehensive genomic profiling reveals prognostic signatures and insights into the molecular landscape of colorectal cancer.Frontiers in oncology · 2023Article
- mRNA Capture Sequencing and RT-qPCR for the Detection of Pathognomonic, Novel, and Secondary Fusion Transcripts in FFPE Tissue: A Sarcoma Showcase.International journal of molecular sciences · 2022Article
- Limitations and opportunities of technologies for the analysis of cell-free DNA in cancer diagnostics.Nature biomedical engineering · 2022Review
- Discovery of clinically relevant fusions in pediatric cancer.BMC genomics · 2021Article
- Identification of Novel Fusion Transcripts in High Grade Serous Ovarian Cancer.International journal of molecular sciences · 2021Article
- Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.Frontiers in pharmacology · 2021Article
- MET-dependent solid tumours - molecular diagnosis and targeted therapy.Nature reviews. Clinical oncology · 2020Review
- Pan-Cancer Analysis Reveals the Diverse Landscape of Novel Sense and Antisense Fusion Transcripts.Molecular therapy. Nucleic acids · 2020Article
- Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods.Genome biology · 2019Article
- FusionScan: accurate prediction of fusion genes from RNA-Seq data.Genomics & informatics · 2019Article
- FusionPro, a Versatile Proteogenomic Tool for Identification of Novel Fusion Transcripts and Their Potential Translation Products in Cancer Cells.Molecular & cellular proteomics : MCP · 2019Article
- Alternative tumour-specific antigens.Nature reviews. Cancer · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Gene fusions are important genomic events in human cancer because their fusion gene products can drive the development of cancer and thus are potential prognostic tools or therapeutic targets in anti-cancer treatment. Major advancements have been made in computational approaches for fusion gene discovery over the past 3 years due to improvements and widespread applications of high-throughput next generation sequencing (NGS) technologies. To identify fusions from NGS data, existing methods typically leverage the strengths of both sequencing technologies and computational strategies. In this article, we review the NGS and computational features of existing methods for fusion gene detection and suggest directions for future development.
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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.