ECGene: A Literature-Based Knowledgebase of Endometrial Cancer Genes

Min Zhao; Yining Liu; Tracy A O'Mara

doi:10.1002/humu.22950

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ECGene: A Literature-Based Knowledgebase of Endometrial Cancer Genes

Journal article

Open access

Peer reviewed

ECGene: A Literature-Based Knowledgebase of Endometrial Cancer Genes

Min Zhao, Yining Liu and Tracy A O'Mara

Human Mutation, Vol.37(4), pp.337-343

2016

DOI: https://doi.org/10.1002/humu.22950

PMCID: PMC5066700

PMID: 26699919

Appears in UniSC Supported Open Access Outputs

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Abstract

endometrial cancer

database

cancer genomics

network analysis

systems biology

long non-coding RNA

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, pre-computation of co-expressed long non-coding 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 co-expressed 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.

Details

Title: ECGene: A Literature-Based Knowledgebase of Endometrial Cancer Genes
Authors: Min Zhao (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Yining Liu (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Tracy A O'Mara (Author) - QIMR Berghofer Medical Research Institute
Publication details: Human Mutation, Vol.37(4), pp.337-343
Publisher: John Wiley & Sons Inc.
Date published: 2016
DOI: 10.1002/humu.22950
ISSN: 1059-7794
PMID: 26699919; PMC5066700
Copyright note: Copyright © 2015 The Authors. **Human Mutation published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Organisation Unit: School of Science and Engineering - Legacy; GeneCology Research Centre - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
Language: English
Record Identifier: 99450201902621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Genetics & Heredity

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