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• W2567448906 abstract "Breast cancer is one of the major causes of cancer death in women. Many studies have sought to identify specific molecules involved in breast cancer and understand their characteristics. Many biomarkers which are easily measurable, dependable, and inexpensive, with a high sensitivity and specificity have been identified. The rapidly increasing technology development and availability of epigenetic informations play critical roles in cancer. The accumulated data have been collected, stored, and analyzed in various types of databases. It is important to acknowledge useful and available data and retrieve them from databases. Nowadays, many researches utilize the databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Surveillance, Epidemiology and End Results (SEER), and Embase, to find useful informations on biomarkers for breast cancer. This review summarizes the current databases which have been utilized for identification of biomarkers for breast cancer. The information provided by this review would be beneficial to seeking appropriate strategies for diagnosis and treatment of breast cancer." @default.
• W2567448906 created "2017-01-06" @default.
• W2567448906 creator A5047738448 @default.
• W2567448906 creator A5083115378 @default.
• W2567448906 date "2016-12-30" @default.
• W2567448906 modified "2023-09-25" @default.
• W2567448906 title "Identification of Biomarkers for Breast Cancer Using Databases" @default.
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• W2567448906 doi "https://doi.org/10.15430/jcp.2016.21.4.235" @default.
• W2567448906 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5207607" @default.
• W2567448906 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28053957" @default.
• W2567448906 hasPublicationYear "2016" @default.
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