ArticleData in brief2021
A compiled dataset of molecular pathways associated with fusion genes identified in pediatric cancers.
Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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2 authors at 1 institution in 1 country.
Funding
Abstract
Fusion genes can serve as actionable biomarkers for diagnosis, prognosis or therapeutic stratification in the clinic. Pathways associated with fusion genes identified in different pediatric cancers are compiled in this article. Fusion genes reported in each cancer were collected using the PubMed search option with the keywords 'fusion transcript', 'fusion gene,' 'chromosomal translocation,' or 'DNA translocation' along with the corresponding pediatric cancer type. Research articles that identified fusion genes using conventional Fluorescence in situ hybridization (FISH) or quantitative real-time polymerase chain reaction (RT-PCR) methods or high-throughput RNA or DNA sequencing were included. The collected fusion gene data were compiled for each cancer and analyzed to identify their functions related to cancer and associated pathways using Ingenuity Pathway Analysis (IPA) and ClueGO software programs. Similarities in associated pathways across different cancers were also analyzed using IPA to identify commonly affected genes and pathways. This value-added and functionally annotated dataset will be an excellent resource for pediatric cancer researchers and clinicians interested in exploring fusion genes in different cancers. This article is a companion article to 'Fusion genes as biomarkers in pediatric cancers: A review of the current state and applicability in diagnostics and personalized therapy'[1].
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