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The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
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The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers

Published on: January 22, 2013

RCDB: Renal Cancer Gene Database.

Jayashree Ramana1

  • 1Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, 173234, Waknaghat, Solan, Himachal Pradesh, India. jayashree_ramana@yahoo.co.in

BMC Research Notes
|May 22, 2012
PubMed
Summary
This summary is machine-generated.

Researchers developed the Renal Cancer Gene Database (RCDB) to consolidate scattered information on genes involved in renal cell carcinoma (RCC). This resource aids in understanding RCC genetics and improving diagnosis and prognosis for this lethal cancer.

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Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • Renal cell carcinoma (RCC) is a lethal urological cancer with high mortality due to metastasis.
  • Clear cell RCC is the most common subtype, but predicting its aggressiveness and metastatic risk is challenging.
  • Existing molecular marker data for RCC is fragmented, hindering data-mining and clinical application.

Purpose of the Study:

  • To create a comprehensive, integrated database for renal cancer-related genetic data.
  • To facilitate research and clinical management of RCC by consolidating scattered information.
  • To serve as a valuable resource for studying RCC etiology, pathogenesis, and genetics.

Main Methods:

  • Manual curation of genetic information related to renal cell carcinomas.
  • Integration of data on protein-coding genes and microRNAs (miRNAs) involved in RCC.
  • Development of a user-friendly web interface for database access and querying.

Main Results:

  • The Renal Cancer Gene Database (RCDB) is a curated compendium of 240 protein-coding and 269 miRNA genes implicated in RCC.
  • Genes are classified by alteration type, and miRNAs are detailed with their RCC subtype and prognostic significance.
  • The database includes miRNAs unique to RCC and those associated with other cancers, offering broad insights.

Conclusions:

  • The RCDB provides a centralized knowledgebase to aid researchers and physicians in understanding RCC genetics.
  • It complements existing public resources and serves as a starting point for investigations into RCC.
  • The database aims to improve the diagnosis and prognosis of renal cell carcinoma through accessible genetic information.