Technological advances in cancer immunity:from immunogenomics to single-cell analysis and artificial intelligence

查看全文 作　　者：Ying [1,2]Xu;Guan-Hua [1,2]Su;Ding [1,2]Ma;Yi [1,2]Xiao;Zhi-Ming [1,2,3]Shao;Yi-Zhou [1,2]Jiang

机构地区：[1]Key Laboratory of Breast Cancer in Shanghai,Department of Breast Surgery,Fudan University Shanghai Cancer Center,Shanghai,China;[2]Department of Oncology,Shanghai Medical College,Fudan University,Shanghai,China;[3]Institutes of Biomedical Sciences,Fudan University,Shanghai,China

出　　处：《Signal Transduction and Targeted Therapy》索引2021年第6卷第9期,共23页

基　　金：This work was supported by grants from the National Key Research and Development Project of China(2020YFA0112304);the National Natural Science Foundation of China(81922048,81874112,82002792);the Program of Shanghai Academic/Technology Research Leader(20XD1421100);the Shanghai Key Laboratory of Breast Cancer(ZDSYS2101);the Shanghai Key Clinical Specialty of Oncology(shslczdzk02001);the Shenkang Three Year Program for Clinical Research(SK2020);Shanghai Sailing Program(20YF1408600). 摘　　要：Immunotherapies play critical roles in cancer treatment.However,given that only a few patients respond to immune checkpoint blockades and other immunotherapeutic strategies,more novel technologies are needed to decipher the complicated interplay between tumor cells and the components of the tumor immune microenvironment(TIME).Tumor immunomics refers to the integrated study of the TIME using immunogenomics,immunoproteomics,immune-bioinformatics,and other multi-omics data reflecting the immune states of tumors,which has relied on the rapid development of next-generation sequencing.High-throughput genomic and transcriptomic data may be utilized for calculating the abundance of immune ceils and predicting tumor antigens,referring to immunogenomics.However,as bulk sequencing represents the average characteristics of a heterogeneous cell population,it fails to distinguish distinct cell subtypes.Single-cell-based technologies enable better dissection of the TIME through precise immune cell subpopulation and spatial architecture investigations.In addition,radiomics and digital pathology-based deep learning models largely contribute to research on cancer immunity.These artificial intelligence technologies have performed well in predicting response to immunotherapy,with profound significance in cancer therapy.In this review,we briefly summarize conventional and state-of-the-art technologies in the field of immunogenomics,single-cell and artificial intelligence,and present prospects for future research. 关键词：IMMUNO IMMUNITY artificial

相关文献

参考文献（295）
引证文献（9）
耦合文献（334）

参考文献(295)

引证文献(9)

耦合文献(334)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Technological advances in cancer immunity:from immunogenomics to single-cell analysis and artificial intelligence

参考文献(295)

引证文献(9)

耦合文献(334)

用户提示