ImmuCellAI: A Unique Method for Comprehensive T‐Cell Subsets Abundance Prediction and its Application in Cancer Immunotherapy

• DOI: 10.1002/advs.201902880
• Publication Date: 2020-02-11T14:51:01Z
• Authors: Ya‐Ru Miao; Qiong Zhang; Qian Lei; Mei Luo; Gui‐Yan Xie; Hongxiang Wang; An‐Yuan Guo
• Keywords: Cancer Immunotherapy

The distribution and abundance of immune cells, particularly T-cell subsets, play pivotal roles in cancer immunology therapy. T cells have many subsets with specific function current methods are limited estimating them, thus, a method for predicting comprehensive is urgently needed research. Here, Immune Cell Abundance Identifier (ImmuCellAI), gene set signature-based method, introduced precisely the 24 cell types including 18 from expression data. Performance evaluation on both sequencing data flow cytometry results public indicate that ImmuCellAI can estimate superior accuracy to other especially subsets. Application immunotherapy datasets reveals dendritic cytotoxic T, gamma delta significantly higher comparisons on-treatment versus pre-treatment responders non-responders. Meanwhile, an result-based model built response high (area under curve 0.80-0.91). These demonstrate powerful unique tumor infiltration estimation prediction.