Landscape of B cell immunity and related immune evasion in human cancers.
Xihao HuJian ZhangJin WangJingxin FuTaiwen LiXiaoqi ZhengBinbin WangShengqing GuPeng JiangJingyu FanXiaomin YingJing ZhangMichael C CarrollKai W WucherpfennigNir HacohenFan ZhangPeng ZhangZhirui HuBo LiX Shirley LiuPublished in: Nature genetics (2019)
Tumor-infiltrating B cells are an important component in the microenvironment but have unclear anti-tumor effects. We enhanced our previous computational algorithm TRUST to extract the B cell immunoglobulin hypervariable regions from bulk tumor RNA-sequencing data. TRUST assembled more than 30 million complementarity-determining region 3 sequences of the B cell heavy chain (IgH) from The Cancer Genome Atlas. Widespread B cell clonal expansions and immunoglobulin subclass switch events were observed in diverse human cancers. Prevalent somatic copy number alterations in the MICA and MICB genes related to antibody-dependent cell-mediated cytotoxicity were identified in tumors with elevated B cell activity. The IgG3-1 subclass switch interacts with B cell-receptor affinity maturation and defects in the antibody-dependent cell-mediated cytotoxicity pathway. Comprehensive pancancer analyses of tumor-infiltrating B cell-receptor repertoires identified novel tumor immune evasion mechanisms through genetic alterations. The IgH sequences identified here are potentially useful resources for future development of immunotherapies.
Keyphrases
- copy number
- single cell
- genome wide
- mitochondrial dna
- endothelial cells
- dna methylation
- cell therapy
- induced pluripotent stem cells
- stem cells
- machine learning
- pluripotent stem cells
- health information
- papillary thyroid
- oxidative stress
- binding protein
- deep learning
- healthcare
- social media
- young adults
- current status
- neural network
- big data