CCAS

CCAS annotates cancer genomes by integrating multi-omics data to produce consensus annotations and multidimensional biological insights, including mutation signatures, gene set enrichment analysis, pathway annotation, and clinical-trial associations, across 10 cancer categories and 395 subtypes using information from 20 resources.


Key Features:

  • Integration of Diverse Resources: Consolidates annotations from 20 recognized resources covering 10 cancer categories and 395 subtypes.
  • Standardization and Curation: Curates and standardizes data using ontology frameworks to ensure consistency across sources.
  • Multi-Omics Input Compatibility: Accepts single nucleotide variants/insertions or deletions, expression profiles, copy number variations, and methylation levels as input.
  • Consensus Annotation Output: Generates consensus annotations that synthesize evidence across integrated resources.
  • Multidimensional Annotation Information: Provides mutation signature patterns, gene set enrichment analysis, pathway annotation, and clinical trial–related information for functional interpretation.

Scientific Applications:

  • Individual-level cancer genome interpretation: Delivers comprehensive annotations across multiple omic layers for single-patient analyses.
  • Biomarker and therapeutic target discovery: Enables identification of candidate biomarkers and potential therapeutic targets via integrated annotation and enrichment/pathway analyses.
  • Mechanistic and mutational-process characterization: Supports analysis of mutation signature patterns and pathway involvement to elucidate tumor biology.
  • Clinical-trial annotation support: Associates genomic findings with clinical trial–related information to inform translational research.

Methodology:

Data from 20 resources are integrated and standardized using ontology frameworks; the system accepts SNV/indel, expression, copy number variation, and methylation inputs, produces consensus annotations, and provides mutation signature analysis, gene set enrichment analysis, pathway annotation, and clinical trial–related information.

Topics

Details

License:
CC-BY-NC-3.0
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
10/6/2022
Last Updated:
10/6/2022

Operations

Publications

Zheng X, Zong W, Li Z, Ma Y, Sun Y, Xiong Z, Wu S, Yang F, Zhao W, Bu C, Du Z, Xiao J, Bao Y. CCAS: One-stop and comprehensive annotation system for individual cancer genome at multi-omics level. Frontiers in Genetics. 2022;13. doi:10.3389/fgene.2022.956781. PMID:36035123. PMCID:PMC9403316.