Literature DB >> 30479382

Lineage tracking reveals dynamic relationships of T cells in colorectal cancer.

Lei Zhang1, Xin Yu2, Liangtao Zheng1, Yuanyuan Zhang3, Yansen Li4, Qiao Fang1, Ranran Gao3, Boxi Kang3, Qiming Zhang3, Julie Y Huang2, Hiroyasu Konno2, Xinyi Guo3, Yingjiang Ye4, Songyuan Gao5, Shan Wang4, Xueda Hu3, Xianwen Ren3, Zhanlong Shen6, Wenjun Ouyang7, Zemin Zhang8,9.   

Abstract

T cells are key elements of cancer immunotherapy1 but certain fundamental properties, such as the development and migration of T cells within tumours, remain unknown. The enormous T cell receptor (TCR) repertoire, which is required for the recognition of foreign and self-antigens2, could serve as lineage tags to track these T cells in tumours3. Here we obtained transcriptomes of 11,138 single T cells from 12 patients with colorectal cancer, and developed single T cell analysis by RNA sequencing and TCR tracking (STARTRAC) indices to quantitatively analyse the dynamic relationships among 20 identified T cell subsets with distinct functions and clonalities. Although both CD8+ effector and 'exhausted' T cells exhibited high clonal expansion, they were independently connected with tumour-resident CD8+ effector memory cells, implicating a TCR-based fate decision. Of the CD4+ T cells, most tumour-infiltrating T regulatory (Treg) cells showed clonal exclusivity, whereas certain Treg cell clones were developmentally linked to several T helper (TH) cell clones. Notably, we identified two IFNG+ TH1-like cell clusters in tumours that were associated with distinct IFNγ-regulating transcription factors -the GZMK+ effector memory T cells, which were associated with EOMES and RUNX3, and CXCL13+BHLHE40+ TH1-like cell clusters, which were associated with BHLHE40. Only CXCL13+BHLHE40+ TH1-like cells were preferentially enriched in patients with microsatellite-instable tumours, and this might explain their favourable responses to immune-checkpoint blockade. Furthermore, IGFLR1 was highly expressed in both CXCL13+BHLHE40+ TH1-like cells and CD8+ exhausted T cells and possessed co-stimulatory functions. Our integrated STARTRAC analyses provide a powerful approach to dissect the T cell properties in colorectal cancer comprehensively, and could provide insights into the dynamic relationships of T cells in other cancers.

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Year:  2018        PMID: 30479382     DOI: 10.1038/s41586-018-0694-x

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  252 in total

1.  Intratumoral Adaptive Immunosuppression and Type 17 Immunity in Mismatch Repair Proficient Colorectal Tumors.

Authors:  Nicolas J Llosa; Brandon Luber; Ada J Tam; Kellie N Smith; Nicholas Siegel; Anas H Awan; Hongni Fan; Teniola Oke; JiaJia Zhang; Jada Domingue; Elizabeth L Engle; Charles A Roberts; Bjarne R Bartlett; Laveet K Aulakh; Elizabeth D Thompson; Janis M Taube; Jennifer N Durham; Cynthia L Sears; Dung T Le; Luis A Diaz; Drew M Pardoll; Hao Wang; Robert A Anders; Franck Housseau
Journal:  Clin Cancer Res       Date:  2019-05-06       Impact factor: 12.531

Review 2.  Revolutionizing immunology with single-cell RNA sequencing.

Authors:  Haide Chen; Fang Ye; Guoji Guo
Journal:  Cell Mol Immunol       Date:  2019-02-22       Impact factor: 11.530

3.  The Transcription Factor Bhlhe40 Programs Mitochondrial Regulation of Resident CD8+ T Cell Fitness and Functionality.

Authors:  Chaofan Li; Bibo Zhu; Young Min Son; Zheng Wang; Li Jiang; Min Xiang; Zhenqing Ye; Kathryn E Beckermann; Yue Wu; James W Jenkins; Peter J Siska; Benjamin G Vincent; Y S Prakash; Tobias Peikert; Brian T Edelson; Reshma Taneja; Mark H Kaplan; Jeffrey C Rathmell; Haidong Dong; Taro Hitosugi; Jie Sun
Journal:  Immunity       Date:  2019-09-17       Impact factor: 31.745

Review 4.  CD8+ T cell states in human cancer: insights from single-cell analysis.

Authors:  Anne M van der Leun; Daniela S Thommen; Ton N Schumacher
Journal:  Nat Rev Cancer       Date:  2020-02-05       Impact factor: 60.716

Review 5.  Transcription Factor Bhlhe40 in Immunity and Autoimmunity.

Authors:  Melissa E Cook; Nicholas N Jarjour; Chih-Chung Lin; Brian T Edelson
Journal:  Trends Immunol       Date:  2020-10-07       Impact factor: 16.687

Review 6.  Heterogeneity and fate choice: T cell exhaustion in cancer and chronic infections.

Authors:  Mary Philip; Andrea Schietinger
Journal:  Curr Opin Immunol       Date:  2019-06-08       Impact factor: 7.486

Review 7.  Prostate cancer research: The next generation; report from the 2019 Coffey-Holden Prostate Cancer Academy Meeting.

Authors:  Andrea K Miyahira; Adam Sharp; Leigh Ellis; Jennifer Jones; Salma Kaochar; H Benjamin Larman; David A Quigley; Huihui Ye; Jonathan W Simons; Kenneth J Pienta; Howard R Soule
Journal:  Prostate       Date:  2019-12-11       Impact factor: 4.104

8.  Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression.

Authors:  Sujun Chen; Guanghui Zhu; Yue Yang; Fubo Wang; Yu-Tian Xiao; Na Zhang; Xiaojie Bian; Yasheng Zhu; Yongwei Yu; Fei Liu; Keqin Dong; Javier Mariscal; Yin Liu; Fraser Soares; Helen Loo Yau; Bo Zhang; Weidong Chen; Chao Wang; Dai Chen; Qinghua Guo; Zhengfang Yi; Mingyao Liu; Michael Fraser; Daniel D De Carvalho; Paul C Boutros; Dolores Di Vizio; Zhou Jiang; Theodorus van der Kwast; Alejandro Berlin; Song Wu; Jianhua Wang; Housheng Hansen He; Shancheng Ren
Journal:  Nat Cell Biol       Date:  2021-01-08       Impact factor: 28.824

9.  IL-2 regulates tumor-reactive CD8+ T cell exhaustion by activating the aryl hydrocarbon receptor.

Authors:  Yuying Liu; Nannan Zhou; Li Zhou; Jing Wang; Yabo Zhou; Tianzhen Zhang; Yi Fang; Jinwei Deng; Yunfeng Gao; Xiaoyu Liang; Jiadi Lv; Zhenfeng Wang; Jing Xie; Yuanbo Xue; Huafeng Zhang; Jingwei Ma; Ke Tang; Yiliang Fang; Feiran Cheng; Chengjuan Zhang; Bing Dong; Yuzhou Zhao; Peng Yuan; Quanli Gao; Haizeng Zhang; F Xiao-Feng Qin; Bo Huang
Journal:  Nat Immunol       Date:  2021-01-11       Impact factor: 25.606

10.  LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data.

Authors:  Changlin Wan; Wennan Chang; Yu Zhang; Fenil Shah; Xiaoyu Lu; Yong Zang; Anru Zhang; Sha Cao; Melissa L Fishel; Qin Ma; Chi Zhang
Journal:  Nucleic Acids Res       Date:  2019-10-10       Impact factor: 16.971

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