A compiled dataset of molecular pathways associated with fusion genes identified in pediatric cancers.

Fusion gene Gene networks Molecular pathways Pediatric cancers

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 16 11 2020
revised: 15 01 2021
accepted: 18 01 2021
entrez: 8 2 2021
pubmed: 9 2 2021
medline: 9 2 2021
Statut: epublish

Résumé

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].

Identifiants

pubmed: 33553527
doi: 10.1016/j.dib.2021.106780
pii: S2352-3409(21)00064-0
pmc: PMC7848762
doi:

Types de publication

Journal Article

Langues

eng

Pagination

106780

Subventions

Organisme : NIGMS NIH HHS
ID : P30 GM127200
Pays : United States

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.

Références

Bioinformatics. 2009 Apr 15;25(8):1091-3
pubmed: 19237447
Cancer Lett. 2021 Feb 28;499:24-38
pubmed: 33248210

Auteurs

Neetha N Vellichirammal (NN)

Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, United States.

Chittibabu Guda (C)

Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, United States.

Classifications MeSH