Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9304
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dc.contributor.authorRamana, Jayashree-
dc.date.accessioned2023-01-19T06:23:57Z-
dc.date.available2023-01-19T06:23:57Z-
dc.date.issued2012-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9304-
dc.description.abstractBackground: 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.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectRCCen_US
dc.subjectProtein-codingen_US
dc.subjectmiRNAen_US
dc.titleRCDB: Renal Cancer Gene Databaseen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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