OncoTriMD is an integrated database providing a repository of cancer-type-centric multi-scale oncogenic drivers. Utilizing omics data from multiple cohorts (The Cancer Genome Atlas (TCGA PanCanAtlas project), International Cancer Genome Consortium (ICGC Release 28), and METABRIC (Molecular Taxonomy of Breast Cancer International Consortium)), we implemented prediction algorithms and manually curated sources collected from external databases, PubMed literature, experimental validation, and predicted results to compile a comprehensive list of multi-scale cancer drivers, including mutations, genes, modules, and non-coding elements. OncoTriMD facilitates the exploration and analysis of all dimensions of cancer drivers, including driver mutations, driver genes, driver modules, and non-coding drivers, providing comprehensive and up-to-date insights into multi-scale oncogenic drivers centered on cancer types.
Cancer Resource
Cancer Project
Cancer Type / Tissue Type
Total Sample
Driver Mutation / Entries
Driver Gene / Entries
Driver Module / Entries
Non-coding Driver / Entries
Entries for clinical implication
5
77
65 / 39
21,836
8,221 / 44,244
2,732 / 19,247
1,641 / 16,269
6,786 / 17,504
812,591
OncoTriMD collects 9,376 samples
in 33
different tumor types from TCGA PanCanAtlas project.
OncoTriMD collects 9,079 samples
in 40
different tumor types from ICGC.
