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ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes

Endometrial cancer (EC) ranks as the sixth common cancer for women worldwide. To better distinguish cancer subtypes and identify effective early diagnostic biomarkers, we need improved understanding of the biological mechanisms associated with EC dysregulated genes. Although there is a wealth of cli...

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Detalles Bibliográficos
Autores principales: Zhao, Min, Liu, Yining, O'Mara, Tracy A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066700/
https://www.ncbi.nlm.nih.gov/pubmed/26699919
http://dx.doi.org/10.1002/humu.22950
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author Zhao, Min
Liu, Yining
O'Mara, Tracy A
author_facet Zhao, Min
Liu, Yining
O'Mara, Tracy A
author_sort Zhao, Min
collection PubMed
description Endometrial cancer (EC) ranks as the sixth common cancer for women worldwide. To better distinguish cancer subtypes and identify effective early diagnostic biomarkers, we need improved understanding of the biological mechanisms associated with EC dysregulated genes. Although there is a wealth of clinical and molecular information relevant to EC in the literature, there has been no systematic summary of EC‐implicated genes. In this study, we developed a literature‐based database ECGene (Endometrial Cancer Gene database) with comprehensive annotations. ECGene features manual curation of 414 genes from thousands of publications, results from eight EC gene expression datasets, precomputation of coexpressed long noncoding RNAs, and an EC‐implicated gene interactome. In the current release, we generated and comprehensively annotated a list of 458 EC‐implicated genes. We found the top‐ranked EC‐implicated genes are frequently mutated in The Cancer Genome Atlas (TCGA) tumor samples. Furthermore, systematic analysis of coexpressed lncRNAs provided insight into the important roles of lncRNA in EC development. ECGene has a user‐friendly Web interface and is freely available at http://ecgene.bioinfo‐minzhao.org/. As the first literature‐based online resource for EC, ECGene serves as a useful gateway for researchers to explore EC genetics.
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spelling pubmed-50667002016-11-01 ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes Zhao, Min Liu, Yining O'Mara, Tracy A Hum Mutat Databases Endometrial cancer (EC) ranks as the sixth common cancer for women worldwide. To better distinguish cancer subtypes and identify effective early diagnostic biomarkers, we need improved understanding of the biological mechanisms associated with EC dysregulated genes. Although there is a wealth of clinical and molecular information relevant to EC in the literature, there has been no systematic summary of EC‐implicated genes. In this study, we developed a literature‐based database ECGene (Endometrial Cancer Gene database) with comprehensive annotations. ECGene features manual curation of 414 genes from thousands of publications, results from eight EC gene expression datasets, precomputation of coexpressed long noncoding RNAs, and an EC‐implicated gene interactome. In the current release, we generated and comprehensively annotated a list of 458 EC‐implicated genes. We found the top‐ranked EC‐implicated genes are frequently mutated in The Cancer Genome Atlas (TCGA) tumor samples. Furthermore, systematic analysis of coexpressed lncRNAs provided insight into the important roles of lncRNA in EC development. ECGene has a user‐friendly Web interface and is freely available at http://ecgene.bioinfo‐minzhao.org/. As the first literature‐based online resource for EC, ECGene serves as a useful gateway for researchers to explore EC genetics. John Wiley and Sons Inc. 2016-01-13 2016-04 /pmc/articles/PMC5066700/ /pubmed/26699919 http://dx.doi.org/10.1002/humu.22950 Text en © 2015 The Authors. **Human Mutation published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Databases
Zhao, Min
Liu, Yining
O'Mara, Tracy A
ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes
title ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes
title_full ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes
title_fullStr ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes
title_full_unstemmed ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes
title_short ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes
title_sort ecgene: a literature‐based knowledgebase of endometrial cancer genes
topic Databases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066700/
https://www.ncbi.nlm.nih.gov/pubmed/26699919
http://dx.doi.org/10.1002/humu.22950
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