cancertope

cancertope identifies cancer-specific epitopes and neoepitopes from cancer genomes to support personalized cancer immunotherapy and vaccine design.


Key Features:

  • Cancer-specific neoepitope database: Contains neoepitopes derived from the genomes of 905 cancer cell lines.
  • Epitope types: Includes B-cell, CD8+ T-cell, HLA class I, and HLA class II epitopes.
  • Vaccine antigen coverage: Covers 60 cancer-specific vaccine antigens.
  • Partially personalized prediction: Predicts potential neoepitopes from a user-supplied cancer genome.
  • Customizable analysis: Allows tailoring of predictions to specific aspects of a cancer genome.
  • Fully personalized identification: Identifies neoepitopes from both cancerous and healthy cells of a specific patient through comparative analysis.
  • Epitope screening: Screens epitopes against the human reference proteome.

Scientific Applications:

  • Personalized immunotherapy and vaccine design: Identification of neoepitopes to inform development of patient-tailored cancer vaccines and immunotherapies.
  • Neoantigen discovery from cell lines: Use of the 905 cancer cell line-derived neoepitope database to discover candidate neoantigens.
  • Patient-specific neoantigen identification: Detection of patient-unique neoepitopes by comparing tumor and normal genomes.
  • Vaccine antigen selection: Prioritization of cancer-specific vaccine antigens from the curated set of 60 antigens.
  • Epitope target validation: Screening against the human reference proteome to identify relevant targets.

Methodology:

Derives neoepitopes from cancer cell line genomes (905 cell lines), predicts neoepitopes from user-supplied cancer genomes, identifies patient-specific neoepitopes by comparing cancerous and healthy genomes, and screens epitopes against the human reference proteome.

Topics

Details

Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
9/30/2022
Last Updated:
9/30/2022

Operations

Publications

Gupta S, Chaudhary K, Dhanda SK, Kumar R, Kumar S, Sehgal M, Nagpal G, Raghava GPS. A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer. PLOS ONE. 2016;11(11):e0166372. doi:10.1371/journal.pone.0166372. PMID:27832200. PMCID:PMC5104390.

Funding: - Council of Scientific and Industrial Research: BSC0121 - Science and Engineering Research Board: PDF/2016/000351

Documentation

Links