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BcCluster: A Bladder Cancer Database at the Molecular Level
- Source :
- Bladder cancer 2(1), 65-76 (2016). doi:10.3233/BLC-150024, Bladder Cancer
- Publication Year :
- 2016
- Publisher :
- IOS Press, 2016.
-
Abstract
- Background:\ud Bladder Cancer (BC) has two clearly distinct phenotypes. Non-muscle invasive BC has good prognosis and is treated with tumor resection and intravesical therapy whereas muscle invasive BC has poor prognosis and requires usually systemic cisplatin based chemotherapy either prior to or after radical cystectomy. Neoadjuvant chemotherapy is not often used for patients undergoing cystectomy. High-throughput analytical omics techniques are now available that allow the identification of individual molecular signatures to characterize the invasive phenotype. However, a large amount of data produced by omics experiments is not easily accessible since it is often scattered over many publications or stored in supplementary files.\ud Objective:\ud To develop a novel open-source database, BcCluster (http://www.bccluster.org/), dedicated to the comprehensive molecular characterization of muscle invasive bladder carcinoma.\ud Materials:\ud A database was created containing all reported molecular features significant in invasive BC. The query interface was developed in Ruby programming language (version 1.9.3) using the web-framework Rails (version 4.1.5) (http://rubyonrails.org/).\ud Results:\ud BcCluster contains the data from 112 published references, providing 1,559 statistically significant features relative to BC invasion. The database also holds 435 protein-protein interaction data and 92 molecular pathways significant in BC invasion. The database can be used to retrieve binding partners and pathways for any protein of interest. We illustrate this possibility using survivin, a known BC biomarker.\ud Conclusions:\ud BcCluster is an online database for retrieving molecular signatures relative to BC invasion. This application offers a comprehensive view of BC invasiveness at the molecular level and allows formulation of research hypotheses relevant to this phenotype.
- Subjects :
- Research Report
0301 basic medicine
Urology
medicine.medical_treatment
survivin
Bioinformatics
Cystectomy
03 medical and health sciences
0302 clinical medicine
Molecular level
Medicine
protein interactome
data integration
Chemotherapy
Bladder cancer
web application framework
business.industry
Muscle invasive
bioinformatics
Omics
medicine.disease
3. Good health
030104 developmental biology
Oncology
Cisplatin based chemotherapy
030220 oncology & carcinogenesis
biomarker
Biomarker (medicine)
business
relational database management system
Subjects
Details
- ISSN :
- 23523735 and 23523727
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Bladder Cancer
- Accession number :
- edsair.doi.dedup.....7c8ab2fe52776b52d5a851ec108de299