Journal of Shandong University (Health Sciences) ›› 2022, Vol. 60 ›› Issue (5): 43-49.doi: 10.6040/j.issn.1671-7554.0.2022.0121

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Characterization of regulatory T cells in gastric cancer based on single-cell RNA sequencing data

GAO Huiru1,2, DU Tiantian1,2, WANG Yunshan1,2, DU Lutao1,2, WANG Chuanxin1,2   

  1. 1. Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, Shandong, China;
    2. Tumor Marker Detection Engineering Laboratory of Shandong Province, Jinan 250033, Shandong, China
  • Published:2022-06-01

Abstract: Objective To explore the cell composition of gastric cancer and normal gastric tissues and to analyze the difference in regulatory T cells between gastric cancer and normal gastric tissues. Methods The downloaded single-cell RNA sequencing data were subjected to quality control, dimensional-reduction clustering and cell annotation. Regulatory T cells were extracted for differential gene, developmental trajectories, GSVA and cell interaction analysis to observe the differences between regulatory T cells from normal tissues and cancer tissues. Results In terms of cell composition, there was great heterogeneity in different patients and different sample types. Compared with normal tissues, cancer tissues had higher proportion of regulatory T cells which were related to cell death, cell cycle and other pathways. Cell interaction analysis showed that regulatory T cells in cancer tissues interacted with other cells with lower frequency and greater intensity, and the interaction patterns changed significantly. Conclusion Regulatory T cells mainly exist in the microenvironment of gastric cancer. There are significant differences in the number and function of regulatory T cells between gastric cancer and normal tissues.

Key words: Gastric cancer, Single cell RNA sequencing, Cell composition, Regulatory T cells, Intercellular interaction

CLC Number: 

  • R735.2
[1] Arnold M, Abnet CC, Neale RE, et al. Global burden of 5 major types of gastrointestinal cancer [J]. Gastroenterology, 2020, 159(1): 335-349.
[2] 曹毛毛, 李贺, 孙殿钦, 等. 2000-2019年中国胃癌流行病学趋势分析[J]. 中华消化外科杂志, 2021, 20(1): 102-109. CAO Maomao, LI He, SUN Dianqin, et al. Epidemiological trend analysis of gastric cancer in China from 2000 to 2019 [J]. Chinese Journal of Digestive Surgery, 2021, 20(1): 102-109.
[3] Fan J, Slowikowski K, Zhang F. Single-cell transcriptomics in cancer: computational challenges and opportunities [J]. Exp Mol Med, 2020, 52(9): 1452-1465.
[4] Ding S, Chen X, Shen K. Single-cell RNA sequencing in breast cancer: understanding tumor heterogeneity and paving roads to individualized therapy [J]. Cancer Commun(Lond), 2020, 40(8): 329-344.
[5] Qi Z, Barrett T, Parikh AS, et al. Single-cell sequencing and its applications in head and neck cancer [J]. Oral Oncol, 2019, 99: 104441. doi: 10.1016/j.oraloncology.2019.104441.
[6] Tieng FYF, Baharudin R, Abu N, et al. Single cell transcriptome in colorectal cancer-current updates on its application in metastasis, chemoresistance and the roles of circulating tumor cells [J]. Front Pharmacol, 2020, 11: 135. doi: 10.3389/fphar.2020.00135.
[7] 包梦颖, 曾燕玉, 代艳, 等. 基于单细胞RNA测序探讨膀胱癌患者外周血单个核细胞特征的研究[J]. 广西医科大学学报, 2021, 38(3): 636-643. BAO Mengying, ZENG Yanyu, DAI Yan, et al. Study on the characteristics of peripheral blood mononuclear cells in bladder cancer patients by single cell RNA sequencing [J]. Journal of Guangxi Medical University, 2021, 38(3): 636-643.
[8] Luo Q, Fu Q, Zhang X, et al. Application of single-cell RNA sequencing in pancreatic cancer and the endocrine pancreas [J]. Adv Exp Med Biol, 2020, 1255: 143-152. doi: 10.1007/978-981-15-4494-1_12.
[9] Tanaka A, Sakaguchi S. Regulatory T cells in cancer immunotherapy [J]. Cell Res, 2017, 27(1): 109-118.
[10] Whiteside TL. What are regulatory T cells(Treg)regulating in cancer and why? [J]. Semin Cancer Biol, 2012, 22(4): 327-334.
[11] Sathe A, Grimes SM, Lau BT, et al. Single-cell genomic characterization reveals the cellular reprogramming of the gastric tumor microenvironment [J]. Clin Cancer Res, 2020, 26(11): 2640-2653.
[12] Zhang M, Hu S, Min M, et al. Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing [J]. Gut, 2021, 70(3):464-475.
[13] Zhang P, Yang M, Zhang Y, et al. Dissecting the single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer [J]. Cell Rep, 2019, 27(6): 1934-1947.
[14] Bassez A, Vos H, Van Dyck L, et al. A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer [J]. Nat Med, 2021, 27(5): 820-832.
[15] Zheng L, Qin S, Si W, et al. Pan-cancer single-cell landscape of tumor-infiltrating T cells [J]. Science, 2021, 374(6574): abe6474. doi: 10.1126/science.abe6474.
[16] Jin S, Guerrero-Juarez CF, Zhang L, et al. Inference and analysis of cell-cell communication using CellChat [J]. Nat Commun, 2021, 12(1): 1088. doi: 10.1038/s41467-021-21246-9.
[17] Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2018, 68(6): 394-424.
[18] Xie M, Wei J, Xu J. Inducers, attractors and modulators of CD4(+)Treg cells in non-small-cell lung cancer [J]. Front Immunol, 2020, 11: 676. doi: 10.3389/fimmu.2020.00676.
[19] Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation [J]. Cell, 2011, 144(5): 646-674.
[20] Kumar V, Ramnarayanan K, Sundar R, et al. Single-cell atlas of lineage states, tumor microenvironment and subtype-specific expression programs in gastric cancer [J]. Cancer Discov, 2022, 12(3): 670-691.
[21] Tanaka A, Sakaguchi S. Targeting Treg cells in cancer immunotherapy [J]. Eur J Immunol, 2019, 49(8): 1140-1146.
[22] Ahmadzadeh M, Pasetto A, Jia L, et al. Tumor-infiltrating human CD4(+)regulatory T cells display a distinct TCR repertoire and exhibit tumor and neoantigen reactivity [J]. Sci Immunol, 2019, 4(31): eaao4310. doi: 10.1126/sciimmunol.aao4310.
[23] Guo X, Zhang Y, Zheng L, et al. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing [J]. Nat Med, 2018, 24(7): 978-985.
[24] Marzagalli M, Ebelt ND, Manuel ER. Unraveling the crosstalk between melanoma and immune cells in the tumor microenvironment [J]. Semin Cancer Biol, 2019, 59: 236-250. doi: 10.1016/j.semcancer.2019.08.002.
[25] Kamiya T, Seow SV, Wong D, et al. Blocking expression of inhibitory receptor NKG2A overcomes tumor resistance to NK cells [J]. J Clin Invest, 2019, 129(5): 2094-2106.
[26] Prasnikar E, Perdih A, Borisek J. All-atom simulations reveal a key interaction network in the HLA-E/NKG2A/CD94 immune complex fine-tuned by the nonameric peptide [J]. J Chem Inf Model, 2021, 61(7): 3593-3603.
[27] Stanietsky N, Simic H, Arapovic J, et al. The interaction of TIGIT with PVR and PVRL2 inhibits human NK cell cytotoxicity [J]. Proc Natl Acad Sci U S A, 2009, 106(42): 17858-17863.
[28] Mathewson ND, Ashenberg O, Tirosh I, et al. Inhibitory CD161 receptor identified in glioma-infiltrating T cells by single-cell analysis [J]. Cell, 2021, 184(5): 1281-1298.
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