CancerTope: A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer

Welcome to the official repository for Cancertope, a computational platform and database for identifying cancer-specific neoepitopes and designing personalized cancer vaccines and immunotherapies.

This resource integrates mutational data, immune epitope prediction, and vaccine candidate prioritization into a unified framework.

Citation

If you use Cancertope, please cite:

Gupta et al. (2016) A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer PLOS ONE DOI: https://doi.org/10.1371/journal.pone.0166372

About the Platform

Cancertope is designed to address a key bottleneck in cancer immunotherapy:

Identifying tumor-specific antigens (neoantigens) that can trigger a targeted immune response.

Traditional experimental methods are:

Costly

Time-consuming

Not scalable

Cancertope solves this using computational pipelines + large-scale mutation data.

It analyzes:

Somatic mutations

Cancer-specific protein regions

Immune epitope potential

and converts them into actionable vaccine candidates .

欢迎来到Cancertope的官方仓库，该平台是一款用于识别癌症特异性新表位（neoepitopes）、设计个性化癌症疫苗与免疫治疗方案的计算平台及数据库。

本资源将突变数据、免疫表位预测以及候选疫苗优先级排序整合至统一框架中。

引用说明
若您使用Cancertope，请引用以下文献：
Gupta等人（2016）《用于设计基于基因组的癌症个性化免疫治疗或疫苗的平台》，发表于PLOS ONE，DOI：https://doi.org/10.1371/journal.pone.0166372

平台简介
Cancertope旨在解决癌症免疫治疗中的一项关键瓶颈：
识别可触发靶向免疫应答的肿瘤特异性抗原（neoantigens，新抗原）。

传统实验方法存在以下缺陷：
成本高昂
耗时冗长
扩展性不足

Cancertope通过计算流程与大规模突变数据解决了该问题。
其可分析：
体细胞突变
癌症特异性蛋白质区域
免疫表位潜力
并将其转化为可落地的候选疫苗。