DriverDBv3: A database for human cancer driver gene research
Cancer Type: Lung_adenocarcinoma(TCGA,US)
The Cancer Summary section provides a Summary network which integrates cancer dysfunction and dysregulation events in a multi-omics level, and a Functional Annotation analysis of these cancer driver genes.
Summary network

The Cancer Summary network presents the relationships between driver genes and miRNA drivers in a specific cancer type. The resources of gene dataset include the Cancer Gene Census (GCG) and the Network of Cancer Genes (NGC6.0). Driver genes possess various features and are denoted by nodes gridded with colors (as shown in the legend figure); miRNA drivers are denoted by yellow nodes. These nodes are connected by lines to show the protein-protein interactions (PPIs) in the STRING database and synergistic effects, defining by which hazard ratio (HR) of two genes is greater than 1.5 fold of each gene. Also, the interactions of miRNAs and genes are recorded in miRTarBase.

Note: The nodes without any connection would be removed.


Genes in:




Node:







Driver summary table
Functional Annotation

The Functional Annotation section provides 3 levels of functional analysis of driver genes: Gene Oncology, Pathways, and Protein/Genetics interactions.


Gene Ontology

The Gene Ontology (GO) describes our knowledge of the biological domain. GO categories and genes are divided into three groups: biological process, cellular component, and molecular function.








Pathway

The Pathway section includes 12 collections of gene sets sourced from 7 public databases: KEGG, Recatome, PID, Biocarta, MsigDB, miRTar, and miRWalk.
Note: Only the top 30 pathways and their corresponding genes are shown below.


























Protein/Genetics Interaction

The Protein/Genetic interaction section provides a network of how proteins and genes interact with each other, and it lays out from 3 databases: BioGRID, IntAct and STRING.