Large-scale public data reuse to model immunotherapy response and resistance

Genome Medicine
https://genomemedicine.biomedcentral.com/articles
[Accessed 29 Feb 2020]

 

Large-scale public data reuse to model immunotherapy response and resistance
Authors: Jingxin Fu, Karen Li, Wubing Zhang, Changxin Wan, Jing Zhang, Peng Jiang and X. Shirley Liu
Citation: Genome Medicine 2020 12:21
Content type: Database
Published on: 26 February 2020
Abstract
Despite growing numbers of immune checkpoint blockade (ICB) trials with available omics data, it remains challenging to evaluate the robustness of ICB response and immune evasion mechanisms comprehensively. To address these challenges, we integrated large-scale omics data and biomarkers on published ICB trials, non-immunotherapy tumor profiles, and CRISPR screens on a web platform TIDE (http://tide.dfci.harvard.edu). We processed the omics data for over 33K samples in 188 tumor cohorts from public databases, 998 tumors from 12 ICB clinical studies, and eight CRISPR screens that identified gene modulators of the anticancer immune response. Integrating these data on the TIDE web platform with three interactive analysis modules, we demonstrate the utility of public data reuse in hypothesis generation, biomarker optimization, and patient stratification.