机构：[1]Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, USA.[2]Center for ComputationalBiology, Beijing Institute of Basic Medical Sciences, Beijing, China.[3]Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center,Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.[4]State Key Laboratory of Oral Diseases, WestChina Hospital of Stomatology, Sichuan University, Chengdu, China.[5]Department of Mathematics, Shanghai Normal University, Shanghai, China.[6]Programin Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA, USA.[7]Department of Cancer Immunology and Virology, Dana-Farber CancerInstitute, Boston, MA, USA.[8]Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.[9]Department of ThoracicSurgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.[10]Department of Statistics, Harvard University, Cambridge,MA, USA.[11]Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, USA.
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.
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外文
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中科院(CAS)分区：
出版当年[2019]版：
大类|1 区生物学
小类|1 区遗传学
最新[2023]版：
大类|1 区生物学
小类|1 区遗传学
第一作者：
第一作者机构：[1]Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, USA.
共同第一作者：
通讯作者：
通讯机构：[1]Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, USA.[3]Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center,Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.[10]Department of Statistics, Harvard University, Cambridge,MA, USA.
推荐引用方式(GB/T 7714)：
Xihao Hu,Jian Zhang,Jin Wang,et al.Landscape of B cell immunity and related immune evasion in human cancers.[J].Nature genetics.2019,51(3):560-567.doi:10.1038/s41588-018-0339-x.
APA：
Xihao Hu,Jian Zhang,Jin Wang,Jingxin Fu,Taiwen Li...&X. Shirley Liu.(2019).Landscape of B cell immunity and related immune evasion in human cancers..Nature genetics,51,(3)
MLA：
Xihao Hu,et al."Landscape of B cell immunity and related immune evasion in human cancers.".Nature genetics 51..3(2019):560-567
生物学