Please use this identifier to cite or link to this item: https://doi.org/10.18632/oncotarget.5983
Title: CSIOVDB: A microarray gene expression database of epithelial ovarian cancer subtype
Authors: Tan, T.Z 
Yang, H 
Ye, J 
Low, J 
Choolani, M 
Peng Tan, D.S 
Thiery, J.-P 
Huang, R.Y.-J 
Keywords: adenine
cytosine
DNA
guanine
thymine
tumor marker
age
Article
cancer grading
cancer research
copy number variation
CSIOVDB
cytoreductive surgery
disease free survival
DNA methylation
epithelial mesenchymal transition
gene expression
genetic database
histopathology
human
microarray analysis
mutational analysis
ovary carcinoma
ovary metastasis
peritoneum cancer
survival rate
transcriptomics
uterine tube carcinoma
DNA microarray
female
gene expression regulation
genetics
neoplasm
ovary tumor
Databases, Genetic
Female
Gene Expression Regulation, Neoplastic
Humans
Neoplasms, Glandular and Epithelial
Oligonucleotide Array Sequence Analysis
Ovarian Neoplasms
Issue Date: 2015
Publisher: Impact Journals LLC
Citation: Tan, T.Z, Yang, H, Ye, J, Low, J, Choolani, M, Peng Tan, D.S, Thiery, J.-P, Huang, R.Y.-J (2015). CSIOVDB: A microarray gene expression database of epithelial ovarian cancer subtype. Oncotarget 6 (41) : 43843-43852. ScholarBank@NUS Repository. https://doi.org/10.18632/oncotarget.5983
Abstract: Databases pertaining to various diseases provide valuable resources on particular genes of interest but lack the molecular subtype and epithelial-mesenchymal transition status. CSIOVDB is a transcriptomic microarray database of 3,431 human ovarian cancers, including carcinoma of the ovary, fallopian tube, and peritoneum, and metastasis to the ovary. The database also comprises stroma and ovarian surface epithelium from normal ovary tissue, as well as over 400 early-stage ovarian cancers. This unique database presents the molecular subtype and epithelial-mesenchymal transition status for each ovarian cancer sample, with major ovarian cancer histologies (clear cell, endometrioid, mucinous, low-grade serous, serous) represented. Clinicopathological parameters available include tumor grade, surgical debulking status, clinical response and age. The database has 1,868 and 1,516 samples with information pertaining to overall and disease-free survival rates, respectively. The database also provides integration with the copy number, DNA methylation and mutation data from TCGA. CSIOVDB seeks to provide a resource for biomarker and therapeutic target exploration for ovarian cancer research.
Source Title: Oncotarget
URI: https://scholarbank.nus.edu.sg/handle/10635/175522
ISSN: 19492553
DOI: 10.18632/oncotarget.5983
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