CCG, Catalogue of Cancer Genes/lncRNAs, is a manually curated database providing both known and candidate cancer protein-coding genes and lncRNAs. With the help of CCG, users can easily access to a comprehensive list of cancer genes as well as genomic aberration related with these genes. The availability of integrative information will facilitate the understanding of cancer mechanisms. In addition, drug-gene information in CCG provides a useful guide to the development of new anti-cancer drugs and selection of rational combination therapies.

About the CCG


The identification of cancer genes remains a main aim of cancer research. CCG includes both well-supported and candidate cancer protein-coding genes and cancer lncRNAs collected from literature research and public databases. In addition, uniform genomic aberration information (such as somatic mutations copy number variants information) and drug-gene interactions were assigned to cancer genes in the database. CCG represents an effort on integrative assembling of well-supported and candidate cancer protein-coding and long noncoding RNA genes and takes advantages of high-throughput sequencing results on large population.

What can users do with CCG?

  • Search

    Identification records and cancer infroamtions by particular gene symbol or ensembl ID;

  • Browse

    Both the known and candidate cancer genes by protein-coding abilities and primary sites.;

  • Visualization

    Users can visualize somatic mutaion information in the genome wide in genome browse;

  • Download

    All known and candidate cancer protein-coding genes and lncRNA as well as association genomic aberration data. The drug-gene interactions were provided as well.

Using CCG for your research

  • Investigate

    The relationship between cancer protein-coding genes and lncRNA and human cancer;

  • Explore

    The functions and molecular mechanisms of cancer protein-coding genes and lncRNAs;

  • Identify

    Novel cancer biomarkers and drug targets.

What's New
Version 1.1 released -- 09-26-2016
Version 1.0 released -- 04-27-2016
Data Brief Summary

This is an Open data distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. If you are commercial user, please contact us.

This web page was built on jQuery and Bootstrap, query results are based on DataTables, embedded plots were based on HighCharts

Copyright © 2016 Lu Lab, School of Life Sciences, Tsinghua University, China