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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 |
Appears in Collections: | Staff Publications Elements |
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