Abstract
The ability to identify robust genomic signatures that predict response to immune checkpoint blockade is restricted by limited sample sizes and ungeneralizable performance across cohorts. To address these challenges, we established CancerImmu (http://bioinfo.vanderbilt.edu/database/Cancer-Immu/), a comprehensive platform that integrates large-scale multidimensional omics data, including genetic, bulk, and singlecell transcriptomic, proteomic, and dynamic genomic profiles, with clinical phenotypes to explore consistent and rare immunogenomic connections. Currently Cancer-Immu has incorporated data for 3,652 samples for 16 cancer types. It provides easy access to immunogenomic data and empowers researchers to translate omics datasets into biological insights and clinical applications. Significance:Cancer-Immu is a comprehensive functional portal for unraveling immune-genomic connections to improve immune checkpoint blockade-based cancer immunotherapy.
| Original language | English |
|---|---|
| Pages (from-to) | 539-542 |
| Number of pages | 4 |
| Journal | Cancer Research |
| Volume | 82 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2022 Feb 15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Oncology
- Cancer Research
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