Colorectal or bowel cancer originates from either the colon or the rectum. It is the third most common cancer and has the fourth highest mortality rate reported worldwide. The estimated incidence rates of colorectal cancer are highest in Australia/New Zealand and Western Europe.

Colorectal Cancer Atlas Quantitative Data types
Colorectal Cancer Atlas quantitative proteomics
Colorectal Cancer Atlas Proteomic Column chart
Colorectal Cancer Atlas chart representation of isoform spectral abundance
Colorectal Cancer Sequence Variances
Colorectal Cancer Atlas catalogue of Colorectal cancer sequence variations
Heat map showing the presence or absence of gene sequence variants in cell lines
Heat map showing presence or absence of gene sequence variants in cell lines
Cell line 5fu drug sensitivity
5FU drug sensitivity in cell lines
Word cloud showing data in CRC Atlas
Colorectal Cancer Atlas word cloud

According to The Cancer Genome Atlas Network, 16% of all CRC have been identified as hypermutated and among these, APC, TP53, KRAS, PIK3CA, FBXW7, SMAD4, TCF7L2 and NRAS were found to be the most frequently mutated genes. Moreover, CTNNB1 (β-catenin), SMAD2, FAM123B and SOX9 genes have also been found often mutated in CRC. Recent large scale sequencing analyses also have highlighted the predominance of large number of CRC patients carrying sequence variants in proteins involved in Wnt signaling pathway.

Identification of sequence variants in genes has advanced our understanding of how cancer develops, progresses and how these sequence variants can be targeted for a cure. Thanks to the ongoing work of several researchers around the world this is made possible. However, the obtained results are isolated across thousands of scientific literature and websites. A resource that can integrate all these heterogeneous data can aid the biomedical research community in the battle against colorectal cancer.

Colorectal Cancer Atlas is a database that catalogs multiple data types pertaining to
  1. Quantitative and non-quantitative protein expression data obtained from various techniques including mass spectrometry, Western blotting, immunohistochemistry, confocal microscopy, immunoelectron microscopy and FACS
  2. Mutation data obtained by large and small scale sequencing
  3. Pathway data from Reactome, NCI, Cell map and HumanCyc
  4. Protein-protein interactions from BioGRID and HPRD
  5. Gene Ontology data from Entrez Gene
The compendium encompasses sequence variants and proteins identified in more than 179 colorectal cancer cell lines and 13,711 tissue samples.

Colorectal Cancer Atlas citation

Chisanga, D., Keerthikumar, S., Pathan, M., Ariyaratne, D., Kalra, H., Boukouris, S., Mathew, N., Al Saffar, H., Gangoda, L., Ang, C.S., Sieber, O., Mariadason, J., Dasgupta, R., Chilamkurti, N. and Mathivanan, S. (2016)
Colorectal Cancer Atlas: An integrative resource for genomic and proteomic annotations from colorectal cancer cell lines and tissue.
Nucleic Acids Research. 44(D1), D969-74

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Protein identifications
MS/MS spectra
Cell lines
Genes with sequence variants
Sequence variants
Pathways with sequence variants
Cell lines with drug sensitivity
PTMs affected by sequence variants
Protein-protein interactions

Top 10 genes with sequence variants

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