CAN-IMMUNE: Cancer Mutant Peptide and Neoantigen Database

A comprehensive platform for cancer-specific immunopeptidomics-based neoantigen mapping and evaluation
Cell Lines
e.g., HCC-1395, MDA-MB-231, and more
Tissues/ Organs
e.g., Skin, Liver, Lung, and more
Tumor Location and Type
e.g., Adenoma, Carcinoma... etc
Top Tissue and Cell Lines with Highest Numbers of Documented Mutations
Tissue Sample Primary Site
Cancer Types
Mutations by Cancer Type: Cell Line vs Tissue

Documented mutations per cancer type. Stacked: cell line (blue) + tissue (orange). Drag the slider to browse all cancer types.

CAN-IMMUNE Database Statistics Overview
55
cancer types
Cancer Types
2,052
cell lines
Cell Lines
14,727,110
mutations
Mutations
31
tissues of origin
Tissue Sites
4,531,600
mutant peptides
Mutant Peptides
20,081
genes
Genes
CAN-IMMUNE Database Statistics
Cell line vs tissue coverage across tissues

Bubble size = #samples / #genes (scaled within each row); colour = total documented mutations. OncoTree lineages.

About CAN-IMMUNE

CAN-IMMUNE (Cancer Neoantigen Immunology Database) is a comprehensive platform that integrates cancer mutation data from COSMIC, DepMap/CCLE, and PubMed to map and evaluate neoantigen peptides for immunotherapy research. The database contains over 14,727,110 missense mutations across 20,081 genes, 2,052 cell lines, 31 tissues of origin, and 55 cancer types, producing 4,531,600 unique mutant neoantigen peptides.

Each mutation is annotated with its mutant peptide sequence, wild-type counterpart, cancer-type recurrence scores, and on-demand MHC class I binding predictions via NetMHCpan through the IEDB API. Researchers can search by gene, cell line, tissue, histology, or peptide sequence to explore neoantigen landscapes relevant to personalised cancer immunotherapy, vaccine development, and adoptive T-cell therapy.

Cite CAN-IMMUNE

If you use CAN-IMMUNE in your research, please cite:

Krishna, S. & Li, C. (2026). CAN-IMMUNE: A comprehensive cancer neoantigen database for immunopeptidomics-based mutation mapping and MHC-I binding evaluation. Computational and Structural Biotechnology Journal (under revision).
Available at: https://canelib.erc.monash.edu