CSIOVDB: a microarray gene expression database of epithelial ovarian cancer subtype
Author(s) -
Tuan Zea Tan,
He Yang,
Jieru Ye,
Jeffrey Low,
Mahesh Choolani,
David S.P. Tan,
Jean Paul Thiery,
Ruby YunJu Huang
Publication year - 2015
Publication title -
oncotarget
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.373
H-Index - 127
ISSN - 1949-2553
DOI - 10.18632/oncotarget.5983
Subject(s) - epithelial–mesenchymal transition , gynecologic oncology , ovarian cancer , medicine , ovarian carcinoma , ovary , tissue microarray , oncology , cancer , metastasis , gynecology , pathology , cancer research
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. Clinico-pathological 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.
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