Title |
RCDB: Renal Cancer Gene Database
|
---|---|
Published in |
BMC Research Notes, May 2012
|
DOI | 10.1186/1756-0500-5-246 |
Pubmed ID | |
Authors |
Jayashree Ramana |
Abstract |
Renal cell carcinoma or RCC is one of the common and most lethal urological cancers, with 40% of the patients succumbing to death because of metastatic progression of the disease. Treatment of metastatic RCC remains highly challenging because of its resistance to chemotherapy as well as radiotherapy, besides surgical resection. Whereas RCC comprises tumors with differing histological types, clear cell RCC remains the most common. A major problem in the clinical management of patients presenting with localized ccRCC is the inability to determine tumor aggressiveness and accurately predict the risk of metastasis following surgery. As a measure to improve the diagnosis and prognosis of RCC, researchers have identified several molecular markers through a number of techniques. However the wealth of information available is scattered in literature and not easily amenable to data-mining. To reduce this gap, this work describes a comprehensive repository called Renal Cancer Gene Database, as an integrated gateway to study renal cancer related data. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Germany | 1 | 2% |
Unknown | 50 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 23% |
Student > Ph. D. Student | 10 | 19% |
Researcher | 6 | 12% |
Student > Doctoral Student | 3 | 6% |
Student > Bachelor | 3 | 6% |
Other | 10 | 19% |
Unknown | 8 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 23% |
Medicine and Dentistry | 9 | 17% |
Biochemistry, Genetics and Molecular Biology | 8 | 15% |
Engineering | 4 | 8% |
Immunology and Microbiology | 3 | 6% |
Other | 6 | 12% |
Unknown | 10 | 19% |