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Online database for brain cancer-implicated genes - exploring the subtype-specific mechanisms of brain cancer2.95 MB
Published VersionCC BY V4.0, Open Access
Journal article
Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer
BMC Genomics, Vol.22, pp.1-11
2021
PMID: 34144671
Appears in Cancer Research Cluster Research Collection
Abstract
Background: Brain cancer is one of the eight most common cancers occurring in people aged 40+ and is the fifth-leading cause of cancer-related deaths for males aged 40–59. Accurate subtype identification is crucial for precise therapeutic treatment, which largely depends on understanding the biological pathways and regulatory mechanisms associated with different brain cancer subtypes. Unfortunately, the subtype-implicated genes that have been identified are scattered in thousands of published studies. So, systematic literature curation and cross-validation could provide a solid base for comparative genetic studies about major subtypes. Results: Here, we constructed a literature-based brain cancer gene database (BCGene). In the current release, we have a collection of 1421 unique human genes gathered through an extensive manual examination of over 6000 PubMed abstracts. We comprehensively annotated those curated genes to facilitate biological pathway identification, cancer genomic comparison, and differential expression analysis in various anatomical brain regions. By curating cancer subtypes from the literature, our database provides a basis for exploring the common and unique genetic mechanisms among 40 brain cancer subtypes. By further prioritizing the relative importance of those curated genes in the development of brain cancer, we identified 33 top-ranked genes with evidence mentioned only once in the literature, which were significantly associated with survival rates in a combined dataset of 2997 brain cancer cases.
Details
- Title
- Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer
- Authors
- Min Zhao (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringYining Liu (Author) - Guangzhou Medical UniversityGuiqiong Ding (Author) - Beijing Institute of TechnologyDacheng Qu (Author) - Beijing Institute of TechnologyHong Qu (Author) - Peking University
- Publication details
- BMC Genomics, Vol.22, pp.1-11
- Publisher
- BioMed Central Ltd.
- Date published
- 2021
- DOI
- 10.1186/s12864-021-07793-x
- ISSN
- 1471-2164
- PMID
- 34144671
- Copyright note
- © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Organisation Unit
- University of the Sunshine Coast, Queensland; GeneCology Research Centre - Legacy; Cancer Research Cluster; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99548408402621
- Output Type
- Journal article
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