Cell Proliferation >

2024 , Vol. 57 >Issue 3: 0

DOI: https://doi.org/10.1111/cpr.13583

Single-cell RNA sequencing gene signatures for classifying and scoring exhausted CD8+ T cells in B-cell acute lymphoblastic leukaemia

  • Songnan Sui 1,2,3 ,
  • Yun Tian 1,2,3 ,
  • Xiaofang Wang 4 ,
  • Chengwu Zeng 1 ,
  • Oscar Junhong Luo , 3 ,
  • Yangqiu Li , 1,2
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  • 1. State Key Laboratory of Experimental Hematology, Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
  • 2. Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China
  • 3. Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
  • 4. Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
luojh@jnu.edu.cn
tyangqiuli@jnu.edu.cn

Received date: 21 Oct 2023

Revised date: 15 Nov 2023

Accepted date: 20 Nov 2023

Copyright

2023 2023 The Authors. Cell Proliferation published by Beijing Institute for Stem Cell and Regenerative Medicine and John Wiley & Sons Ltd.
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Cite this article

Songnan Sui , Yun Tian , Xiaofang Wang , Chengwu Zeng , Oscar Junhong Luo , Yangqiu Li . Single-cell RNA sequencing gene signatures for classifying and scoring exhausted CD8+ T cells in B-cell acute lymphoblastic leukaemia[J]. Cell Proliferation, 2024 , 57(3) : e13583 . DOI: 10.1111/cpr.13583

References

Publishing order | Descend order by publishing year | Descend order by cited within
1
Zhang X, Hou Z, Huang D, et al. Single-cell heterogeneity and dynamic evolution of Ph-like acute lymphoblastic leukemia patient with novel TPR-PDGFRB fusion gene. Exp Hematol Oncol. 2023;12(1):19.

2
Shah BD, Ghobadi A, Oluwole OO, et al. Two-year follow-up of KTE-X19 in patients with relapsed or refractory adult B-cell acute lymphoblastic leukemia in ZUMA-3 and its contextualization with SCHOLAR-3, an external historical control study. J Hematol Oncol. 2022;15(1):170.

3
Zhou S, Liu M, Ren F, Meng X, Yu J. The landscape of bispecific T cell engager in cancer treatment. Biomark Res. 2021;9(1):38.

4
Cheng YQ, Wang SB, Liu JH, et al. Modifying the tumour microenvironment and reverting tumour cells: new strategies for treating malignant tumours. Cell Prolif. 2020;53(8):e12865.

5
Wang C, Liu J, Li W. ‘Off the shelf’ immunotherapies: generation and application of pluripotent stem cell-derived immune cells. Cell Prolif. 2023;56(4):e13425.

6
Wang Q, Qin Y, Li B. CD8+ T cell exhaustion and cancer immunotherapy. Cancer Lett. 2023;559:216043.

7
Chen C, Li Y. Predictive value of co-expression patterns of immune checkpoint molecules for clinical outcomes of hematological malignancies. Chin J Cancer Res. 2023;35(3):245-251.

8
Wu C, Duan L, Li H, et al. PD1hi CD200hi CD4+ exhausted T cell increase immunotherapy resistance and tumour progression by promoting epithelial–mesenchymal transition in bladder cancer. Clin Transl Med. 2023;13(6):e1303.

9
Li X, Li Y, Dong L, et al. Decitabine priming increases anti-PD-1 antitumor efficacy by promoting CD8+ progenitor exhausted T cell expansion in tumor models. J Clin Invest. 2023;133(7):e165673.

10
Siddiqui I, Schaeuble K, Chennupati V, et al. Intratumoral Tcf1(+)PD-1(+)CD8(+) T cells with stem-like properties promote tumor control in response to vaccination and checkpoint blockade immunotherapy. Immunity. 2019;50(1):195-211.e110.

11
Im SJ, Hashimoto M, Gerner MY, et al. Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy. Nature. 2016;537(7620):417-421.

12
Zhao Y, Liao P, Huang S, et al. Increased TOX expression associates with exhausted T cells in patients with multiple myeloma. Exp Hematol Oncol. 2022;11(1):12.

13
Tan J, Yu Z, Huang J, et al. Increased PD-1+Tim-3+ exhausted T cells in bone marrow may influence the clinical outcome of patients with AML. Biomark Res. 2020;8:6.

14
Wang X, Chen Y, Li Z, et al. Single-cell RNA-Seq of T cells in B-ALL patients reveals an exhausted subset with remarkable heterogeneity. Adv Sci (Weinh). 2021;8(19):e2101447.

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