DriverDBv4

DriverDBv4: A database for human cancer driver gene research

What is DriverDBv4?

DriverDBv4 is a comprehensive cancer omics database designed to identify and characterize driver genes across mutiple cancer types. It integrates diverse molecular data including somatic mutations, RNA expression, miRNA expression, protein expression, DNA methylation, and copy number variations alongside clinical information and curated annotations. Through three intuitive interfaces (Cancer, Gene, and Customized Analysis), researchers can explore complex relationships between specific cancers and their associated driver genes, enabling deeper insights into cancer biology and mechanisms.
Supported browsers: Chrome, Edge, and Firefox.

Search by Functions

Cancer

Example :

Lung adenocarcinoma

The ‘Cancer’ function explores driver genes and miRNA drivers associated with the selected cancer type and their functional roles across multiple omics layers.

Gene

Example : EGFR

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

Customized Analysis

Example :

Subgroup expression

Subgroup mutation

Subgroup CNV

Subgroup methylation

Survival by mutation

Survival by expression

Multi-omics driver

Signature_ident

MultiSurv_gene MultiSurv_signature

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)

Contact

Tel: +886-4-2205-3366 #7929

Email: wccheng@mail.cmu.edu.tw

Address: 5F., No. 350, Sec. 1, Jingmao Rd., Beitun Dist., Taichung City 406040, Taiwan

BioinfOMICS LAB: http://www.bioinfomics.org/