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RCDB:肾癌基因数据库。

RCDB: Renal Cancer Gene Database.

作者信息

Ramana Jayashree

机构信息

Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, 173234, Waknaghat, Solan, Himachal Pradesh, India.

出版信息

BMC Res Notes. 2012 May 18;5:246. doi: 10.1186/1756-0500-5-246.

Abstract

BACKGROUND

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.

FINDINGS

Renal Cancer Gene Database is a manually curated compendium of 240 protein-coding and 269 miRNA genes contributing to the etiology and pathogenesis of various forms of renal cell carcinomas. The protein coding genes have been classified according to the kind of gene alteration observed in RCC. RCDB also includes the miRNAsdysregulated in RCC, along with the corresponding information regarding the type of RCC and/or metastatic or prognostic significance. While some of the miRNA genes showed an association with other types of cancers few were unique to RCC. Users can query the database using keywords, category and chromosomal location of the genes. The knowledgebase can be freely accessed via a user-friendly web interface at http://www.juit.ac.in/attachments/jsr/rcdb/homenew.html.

CONCLUSIONS

It is hoped that this database would serve as a useful complement to the existing public resources and as a good starting point for researchers and physicians interested in RCC genetics.

摘要

背景

肾细胞癌(RCC)是常见且致死率极高的泌尿系统癌症之一,40%的患者因疾病的转移进展而死亡。转移性RCC的治疗仍然极具挑战性,因为除了手术切除外,它对化疗和放疗均有抗性。RCC包含不同组织学类型的肿瘤,其中透明细胞RCC最为常见。对于表现为局限性ccRCC的患者,临床管理中的一个主要问题是无法确定肿瘤的侵袭性,也难以准确预测手术后转移的风险。作为改善RCC诊断和预后的一项措施,研究人员通过多种技术鉴定了若干分子标志物。然而,现有丰富的信息分散在文献中,不易进行数据挖掘。为了缩小这一差距,本研究描述了一个名为肾癌基因数据库的综合知识库,作为研究肾癌相关数据的集成门户。

研究结果

肾癌基因数据库是一个经过人工整理的汇编,包含240个蛋白质编码基因和269个miRNA基因,这些基因与各种形式肾细胞癌的病因和发病机制相关。蛋白质编码基因已根据在RCC中观察到的基因改变类型进行了分类。RCDB还包括在RCC中失调的miRNA,以及有关RCC类型和/或转移或预后意义的相应信息。虽然一些miRNA基因与其他类型的癌症有关联,但少数是RCC特有的。用户可以使用基因的关键词、类别和染色体位置查询该数据库。该知识库可通过用户友好的网页界面免费访问,网址为http://www.juit.ac.in/attachments/jsr/rcdb/homenew.html。

结论

希望这个数据库能成为现有公共资源的有益补充,并为对RCC遗传学感兴趣的研究人员和医生提供一个良好的起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/211b/3438103/15c4c09d9b87/1756-0500-5-246-1.jpg

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