DriverDBv4: A database for human cancer driver gene research



What is DriverDBv4?

DriverDBv4 is a cancer omics database which incorporates somatic mutation, RNA expression, miRNA expression, protein expression, methylation, copy number variation and clinical data in addition to annotation bases. This database also uses published bioinformatics algorithms to identify driver genes and present them with different molecular features; there are three functions, ‘Cancer‘, ‘Gene’, and ‘Customized-Analysis’, to help researchers visualize the relationships between cancers and driver genes.

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The ‘Cancer’ function summarizes the calculated results of driver genes in different molecular features by using published bioinformatics algorithms or tools for a specific cancer type or dataset.


Example : EGFR

The ‘Gene’ function visualizes different features of a user-selected gene within cancer types or datasets.


The ‘Customized-Analysis’ function provides five analyses: subgroup analysis, survival analysis, multi-omics driver analysis, signature identification and Multi-variate survival analysis.
The subgroup analysis investigates differential molecular patterns by stratifying patients using four approaches: expression, mutation, copy number variation (CNV), and DNA methylation.
In survival analysis, researchers can stratify patients using two approaches: by expression levels or by mutation status.
The multi-omics driver analysis identifies and explores the multi-omics drivers associated with user-defined groups of patients.
The signature identification analysis derives multi-gene prognostic signatures from a user-provided list of genes.
The multivariate survival analysis evaluates the prognostic significance of a specific gene or signature by performing a multivariate Cox proportional-hazards (CoxPH) analysis that adjusts for key clinical covariates.

News & Updates


  • 2025.08.29 Enhanced high-resolution download feature, available for citation
  • 2025.07.29 Launch three new modules in Customized-analysis
  • 2023.11.13 Publish DriverDBv4 in Nucleic Acids Res.
  • 2023.08.04 Launch DriverDBv4
  • 2019.11.08 Publish DriverDBv3 in Nucleic Acids Res.
  • 2019.07.22 Launch DriverDBv3
  • 2015.12.03 Publish DriverDBv2 in Nucleic Acids Res.
  • 2015.08.18 Launch DriverDBv2
  • 2013.11.07 Publish DriverDBv1 in Nucleic Acids Res.
  • 2013.07.13 Launch DriverDBv1

Citation:

Chia-Hsin Liu, Yo-Liang Lai, Pei-Chun Shen, Hsiu-Cheng Liu, Meng-Hsin Tsai, Yu-De Wang, Wen-Jen Lin, Fang-Hsin Chen, Chia-Yang Li, Shu-Chi Wang, Mien-Chie Hung, Wei-Chung Cheng, DriverDBv4: a multi-omics integration database for cancer driver gene research, Nucleic Acids Research, 2023;, gkad1060, https://doi.org/10.1093/nar/gkad1060


Schematic representation of DriverDBv4



Citation

To support the continued development of this resource, please cite the following paper if you use DriverDBv4 in your work.

Chia-Hsin Liu , Yo-Liang Lai , Pei-Chun Shen , Hsiu-Cheng Liu , Meng-Hsin Tsai , Yu-De Wang , Wen-Jen Lin , Fang-Hsin Chen , Chia-Yang Li , Shu-Chi Wang , Mien-Chie Hung , Wei-Chung Cheng (2024).

DriverDBv4: a multi-omics integration database for cancer driver gene research. Nucleic Acids Research, 52(D1), D1246–D1252.

DOI Download citation (.nbib)

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