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Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer
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 biologi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214279/ https://www.ncbi.nlm.nih.gov/pubmed/34144671 http://dx.doi.org/10.1186/s12864-021-07793-x |
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author | Zhao, Min Liu, Yining Ding, Guiqiong Qu, Dacheng Qu, Hong |
author_facet | Zhao, Min Liu, Yining Ding, Guiqiong Qu, Dacheng Qu, Hong |
author_sort | Zhao, Min |
collection | PubMed |
description | 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. CONCLUSION: BCGene provides a useful tool for exploring the genetic mechanisms of and gene priorities in brain cancer. BCGene is freely available to academic users at http://soft.bioinfo-minzhao.org/bcgene/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07793-x. |
format | Online Article Text |
id | pubmed-8214279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82142792021-06-23 Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer Zhao, Min Liu, Yining Ding, Guiqiong Qu, Dacheng Qu, Hong BMC Genomics Research 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. CONCLUSION: BCGene provides a useful tool for exploring the genetic mechanisms of and gene priorities in brain cancer. BCGene is freely available to academic users at http://soft.bioinfo-minzhao.org/bcgene/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07793-x. BioMed Central 2021-06-18 /pmc/articles/PMC8214279/ /pubmed/34144671 http://dx.doi.org/10.1186/s12864-021-07793-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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. |
spellingShingle | Research Zhao, Min Liu, Yining Ding, Guiqiong Qu, Dacheng Qu, Hong Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer |
title | Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer |
title_full | Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer |
title_fullStr | Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer |
title_full_unstemmed | Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer |
title_short | Online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer |
title_sort | online database for brain cancer-implicated genes: exploring the subtype-specific mechanisms of brain cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214279/ https://www.ncbi.nlm.nih.gov/pubmed/34144671 http://dx.doi.org/10.1186/s12864-021-07793-x |
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