Single-cell analysis reveals cytotoxic and memory CD8+ T cells associated with prolonged survival in relapsed/refractory leukaemia patients after haplo+cord haematopoietic stem cell transplantation

Hua Li , Zheyang Zhang , Ming Zhu , Xiaofan Li , Jinxian Dai , Ping Chen , Fei Chen , Xianling Chen , Yiding Yang , Xiaohong Yuan , Ronghan Tang , Zhijuan Zhu , Hongli Lin , Ting Lin , Mengsha Tong , Tao Chen , Yuanzhong Chen , Jialiang Huang , Nainong Li

Clinical and Translational Medicine ›› 2026, Vol. 16 ›› Issue (2) : e70529

PDF
Clinical and Translational Medicine ›› 2026, Vol. 16 ›› Issue (2) :e70529 DOI: 10.1002/ctm2.70529
RESEARCH ARTICLE
Single-cell analysis reveals cytotoxic and memory CD8+ T cells associated with prolonged survival in relapsed/refractory leukaemia patients after haplo+cord haematopoietic stem cell transplantation
Author information +
History +
PDF

Abstract

Backgroud: Allogeneic haematopoietic stem cell transplantation (allo-HSCT) is a curative treatment for haematological malignancies. Sequential transplantation of haploidentical stem cell and umbilical cord blood (haplo+cord HSCT) among recipients with relapsed/refractory (R/R) leukaemia exhibited superior survival outcomes compared with single cord HSCT. However, the underlying mechanisms remain unclear.

Methods: Here, we profiled and compared single-cell gene expression and chromatin accessibility in bone marrow from 16 patients receiving haplo+cord or single cord HSCT.

Results: We observed distinct compositions and functions of global immune landscapes, with haplo+cord HSCT exhibiting effective anti-tumour and anti-viral immunity mediated by type I interferon signalling. Analysis of T cells revealed specific CD8+ T cell subtype (CD8-c1), enriched in recipients with haplo+cord HSCT, which was also confirmed by flow cytometry. Functionally, gene signature scoring suggests a dual effector and memory property of CD8-c1 that potentially offers long-term protection. Furthermore, single-cell multi-omics analysis delineated the expression of cytotoxic-related genes up-regulated in CD8-c1 are cooperatively regulated by enhancer networks. Notably, a proportion-based survival analysis indicated that high proportion of CD8-c1 was associated with better survival.

Conclusion: Our results collectively demonstrate that a population of CD8+ T cells with effector and memory properties contributes to improved survival in patients with R/R leukaemia receiving haplo+cord HSCT.

Keywords

CD8+ T cells / haplo+cord HSCT / relapsed/refractory leukaemia / single cord HSCT / single-cell multi-omics

Cite this article

Download citation ▾
Hua Li, Zheyang Zhang, Ming Zhu, Xiaofan Li, Jinxian Dai, Ping Chen, Fei Chen, Xianling Chen, Yiding Yang, Xiaohong Yuan, Ronghan Tang, Zhijuan Zhu, Hongli Lin, Ting Lin, Mengsha Tong, Tao Chen, Yuanzhong Chen, Jialiang Huang, Nainong Li. Single-cell analysis reveals cytotoxic and memory CD8+ T cells associated with prolonged survival in relapsed/refractory leukaemia patients after haplo+cord haematopoietic stem cell transplantation. Clinical and Translational Medicine, 2026, 16(2): e70529 DOI:10.1002/ctm2.70529

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Khwaja A, Bjorkholm M, Gale RE, et al. Acute myeloid leukaemia. Nat Rev Dis Primers. 2016; 2:16010.

[2]

Blazar B, Murphy W, Abedi M. Advances in graft-versus-host disease biology and therapy. Nat Rev Immunol. 2012; 12(6): 443-458.

[3]

de Koning C, Nierkens S, Boelens J. Strategies before, during, and after hematopoietic cell transplantation to improve T-cell immune reconstitution. Blood. 2016; 128(23): 2607-2615.

[4]

Mancusi A, Ruggeri L, Velardi A. Haploidentical hematopoietic transplantation for the cure of leukemia: from its biology to clinical translation. Blood. 2016; 128(23): 2616-2623.

[5]

Ballen KK, Koreth J, Chen Y, Dey BR, Spitzer TR. Selection of optimal alternative graft source: mismatched unrelated donor, umbilical cord blood, or haploidentical transplant. Blood. 2012; 119(9): 1972-1980.

[6]

Yun H, Varma A, Hussain MJ, Nathan S, Brunstein C. Clinical relevance of immunobiology in umbilical cord blood transplantation. J Clin Med. 2019; 8(11): 1968.

[7]

Milano F, Gooley T, Wood B, et al. Cord-blood transplantation in patients with minimal residual disease. N Engl J Med. 2016; 375(10): 944-953.

[8]

Hiwarkar P, Qasim W, Ricciardelli I, et al. Cord blood T cells mediate enhanced antitumor effects compared with adult peripheral blood T cells. Blood. 2015; 126(26): 2882-2891.

[9]

Chang Y, Zhao X, Huang X. Strategies for enhancing and preserving anti-leukemia effects without aggravating graft-versus-host disease. Front Immunol. 2018; 9: 3041.

[10]

Chang Y, Huang X. Haploidentical bone marrow transplantation without T-cell depletion. Semin Oncol. 2012; 39(6): 653-663.

[11]

Zhou B, Xu M, Lu S, et al. Clinical outcomes of B cell acute lymphoblastic leukemia patients treated with haploidentical stem cells combined with umbilical cord blood transplantation. Transplant Cell Ther. 2022; 28(3): 173e1-173.e6.

[12]

Childs RW, Tian X, Vo P, et al. Combined haploidentical and cord blood transplantation for refractory severe aplastic anaemia and hypoplastic myelodysplastic syndrome. Br J Haematol. 2021; 193(5): 951-960.

[13]

Hsu J, Artz A, Mayer SA, et al. Combined haploidentical and umbilical cord blood allogeneic stem cell transplantation for high-risk lymphoma and chronic lymphoblastic leukemia. Biol Blood Marrow Transplant. 2018; 24(2): 359-365.

[14]

Zhou B, Chen J, Liu T, et al. Haploidentical hematopoietic cell transplantation with or without an unrelated cord blood unit for adult acute myeloid leukemia: a multicenter, randomized, open-label, phase 3 trial. Signal Transduct Target Ther. 2024; 9(1): 108.

[15]

Li H, Li X, Chen Y, et al. Sequential transplantation of haploidentical stem cell and unrelated cord blood with using ATG/PTCY increases survival of relapsed/refractory hematologic malignancies. Front Immunol. 2021; 12:733326.

[16]

Chaudhry MS, Velardi E, Malard F, van den Brink MRM. Immune reconstitution after allogeneic hematopoietic stem cell transplantation: time to t up the thymus. J Immunol. 2017; 198(1): 40-46.

[17]

Auletta J, Lazarus H. Immune restoration following hematopoietic stem cell transplantation: an evolving target. Bone Marrow Transplant. 2005; 35(9): 835-857.

[18]

Jain N, Liu H, Artz AS, et al. Immune reconstitution after combined haploidentical and umbilical cord blood transplant. Leuk Lymphoma. 2013; 54(6): 1242-1249.

[19]

van Besien K, Artz A, Champlin RE, et al. Haploidentical vs haplo-cord transplant in adults under 60 years receiving fludarabine and melphalan conditioning. Blood Adv. 2019; 3(12): 1858-1867.

[20]

Kwon M, Bautista G, Balsalobre P, et al. Haplo-Cord transplantation compared to haploidentical transplantation with post-transplant cyclophosphamide in patients with AML. Bone Marrow Transplant. 2017; 52(8): 1138-1143.

[21]

de Koning C, Plantinga M, Besseling P, Boelens JJ, Nierkens S. Immune reconstitution after allogeneic hematopoietic cell transplantation in children. Biol Blood Marrow Transplant. 2016; 22(2): 195-206.

[22]

Pei X, Huang X. The role of immune reconstitution in relapse after allogeneic hematopoietic stem cell transplantation. Expert Rev Clin Immunol. 2024; 20(5): 513-524.

[23]

Buhler S, Bettens F, Dantin C, et al. Genetic T-cell receptor diversity at 1 year following allogeneic hematopoietic stem cell transplantation. Leukemia. 2020; 34(5): 1422-1432.

[24]

Bowers E, Tamaki S, Coward A, Kaneshima H, Chao C. Differing functional recovery of donor-derived immune cells after purified haploidentical and fully mismatched hematopoietic stem cell transplantation in mice. Exp Hematol. 2000; 28(12): 1481-1489.

[25]

Buenrostro JD, Wu B, Litzenburger UM, et al. Single-cell chromatin accessibility reveals principles of regulatory variation. Nature. 2015; 523(7561): 486-490.

[26]

Iacobucci I, Zeng AGX, Gao Q, et al. Multipotent lineage potential in B cell acute lymphoblastic leukemia is associated with distinct cellular origins and clinical features. Nat Cancer. 2025; 6(7): 1242-1262.

[27]

Wu J, Xiao Y, Sun J, et al. A single-cell survey of cellular hierarchy in acute myeloid leukemia. J Hematol Oncol. 2020; 13(1): 128.

[28]

Granja JM, Klemm S, McGinnis LM, et al. Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia. Nat Biotechnol. 2019; 37(12): 1458-1465.

[29]

Buenrostro JD, Corces MR, Lareau CA, et al. Integrated single-cell analysis maps the continuous regulatory landscape of human hematopoietic differentiation. Cell. 2018; 173(6): 1535-1548.e16.

[30]

Ye F, Huang W, Guo G. Studying hematopoiesis using single-cell technologies. J Hematol Oncol. 2017; 10(1): 27.

[31]

Guo H, Guo L, Wang B, et al. Distinct immune homeostasis remodeling patterns after HLA-matched and haploidentical transplantation. Adv Sci (Weinh). 2024; 11(39):e2400544.

[32]

Huo Y, Wu L, Pang A, et al. Single-cell dissection of human hematopoietic reconstitution after allogeneic hematopoietic stem cell transplantation. Sci Immunol. 2023; 8(81):eabn6429.

[33]

Dong F, Zhang S, Zhu C, et al. Heterogeneity of high-potency multilineage hematopoietic stem cells and identification of 'Super' transplantability. Blood. 2025; 146(5): 546-557.

[34]

Huang Y, Xie X, Liu M, et al. Restoring mitochondrial function promotes hematopoietic reconstitution from cord blood following cryopreservation-related functional decline. J Clin Invest. 2025; 135(9):e183607.

[35]

Cruz C, Bollard C. T-cell and natural killer cell therapies for hematologic malignancies after hematopoietic stem cell transplantation: enhancing the graft-versus-leukemia effect. Haematologica. 2015; 100(6): 709-719.

[36]

Dotiwala F, Mulik S, Polidoro RB, et al. Killer lymphocytes use granulysin, perforin and granzymes to kill intracellular parasites. Nat Med. 2016; 22(2): 210-216.

[37]

Gerlach C, Moseman EA, Loughhead SM, et al. The chemokine receptor CX3CR1 defines three antigen-experienced CD8 T cell subsets with distinct roles in immune surveillance and homeostasis. Immunity. 2016; 45(6): 1270-1284.

[38]

Böttcher JP, Beyer M, Meissner F, et al. Functional classification of memory CD8(+) T cells by CX3CR1 expression. Nat Commun. 2015; 6: 8306.

[39]

Ramirez P, Wagner JE, DeFor TE, et al. CXCR4 expression in CD34+ cells and unit predominance after double umbilical cord blood transplantation. Leukemia. 2013; 27(5): 1181-1183.

[40]

Mogilenko DA, Shpynov O, Andhey PS, et al. Comprehensive profiling of an aging immune system reveals clonal GZMK(+) CD8(+) T cells as conserved hallmark of inflammaging. Immunity. 2021; 54(1): 99-115.e12.

[41]

Kim N, Kim HK, Lee K, et al. Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma. Nat Commun. 2020; 11(1): 2285.

[42]

Aibar S, González-Blas CB, Moerman T, et al. SCENIC: single-cell regulatory network inference and clustering. Nat Methods. 2017; 14(11): 1083-1086.

[43]

Huber M, Suprunenko T, Ashhurst T, et al. IRF9 prevents CD8(+) T cell exhaustion in an extrinsic manner during acute lymphocytic choriomeningitis virus infection. J Virol. 2017; 91(22): e01219-17.

[44]

Tian L, Xie Y, Xie Z, Tian J, Tian W. AtacAnnoR: a reference-based annotation tool for single cell ATAC-seq data. Brief Bioinform. 2023; 24(5):bbad268.

[45]

Schep AN, Wu B, Buenrostro JD, Greenleaf WJ. chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data. Nat Methods. 2017; 14(10): 975-978.

[46]

Townsend MJ, Weinmann AS, Matsuda JL, et al. T-bet regulates the terminal maturation and homeostasis of NK and Valpha14i NKT cells. Immunity. 2004; 20(4): 477-494.

[47]

Nechanitzky R, Akbas D, Scherer S, et al. Transcription factor EBF1 is essential for the maintenance of B cell identity and prevention of alternative fates in committed cells. Nat Immunol. 2013; 14(8): 867-875.

[48]

Orkin S, Zon L. Hematopoiesis: an evolving paradigm for stem cell biology. Cell. 2008; 132(4): 631-644.

[49]

Corces MR, Granja JM, Shams S, et al. The chromatin accessibility landscape of primary human cancers. Science. 2018; 362(6413):eaav1898.

[50]

Bailey TL, Johnson J, Grant CE, Noble WS. The MEME suite. Nucleic Acids Res. 2015; 43(W1): W39-W49.

[51]

Ortabozkoyun H, Huang P, Cho H, et al. CRISPR and biochemical screens identify MAZ as a cofactor in CTCF-mediated insulation at Hox clusters. Nat Genet. 2022; 54(2): 202-212.

[52]

Xiao T, Li X, Felsenfeld G. The Myc-associated zinc finger protein (MAZ) works together with CTCF to control cohesin positioning and genome organization. Proc Natl Acad Sci USA. 2021; 118(7):e2023127118.

[53]

Emilsson V, Ilkov M, Lamb JR, et al. Co-regulatory networks of human serum proteins link genetics to disease. Science. 2018; 361(6404): 769-773.

[54]

Sun BB, Maranville JC, Peters JE, et al. Genomic atlas of the human plasma proteome. Nature. 2018; 558(7708): 73-79.

[55]

Suhre K, Arnold M, Bhagwat AM, et al. Connecting genetic risk to disease end points through the human blood plasma proteome. Nat Commun. 2017; 8:14357.

[56]

Hong D, et al. Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysis. 2022:2022.05.20.492770.

[57]

The Cancer Genome Atlas Research Network, Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med, 2013. 368(22): 2059-2074.

[58]

Knisbacher BA, Lin Z, Hahn CK, et al. Molecular map of chronic lymphocytic leukemia and its impact on outcome. Nat Genet. 2022; 54(11): 1664-1674.

[59]

Tian D, Wang Y, Zhang X, Liu K, Huang X, Chang Y. Rapid recovery of CD3+CD8+ T cells on day 90 predicts superior survival after unmanipulated haploidentical blood and marrow transplantation. PLoS One. 2016; 11(6):e0156777.

[60]

Merindol N, Champagne MA, Duval M, Soudeyns H. CD8(+) T-cell reconstitution in recipients of umbilical cord blood transplantation and characteristics associated with leukemic relapse. Blood. 2011; 118(16): 4480-4488.

[61]

Parkman R, Cohen G, Carter SL, et al. Successful immune reconstitution decreases leukemic relapse and improves survival in recipients of unrelated cord blood transplantation. Biol Blood Marrow Transplant. 2006; 12(9): 919-927.

[62]

Fan Z, Han T, Zuo W, et al. CMV infection combined with acute GVHD associated with poor CD8+ T-cell immune reconstitution and poor prognosis post-HLA-matched allo-HSCT. Clin Exp Immunol. 2022; 208(3): 332-339.

[63]

Ranti J, Kurki S, Salmenniemi U, Putkonen M, Salomäki S, Itälä-Remes M. Early CD8+-recovery independently predicts low probability of disease relapse but also associates with severe GVHD after allogeneic HSCT. PLoS One. 2018; 13(9):e0204136.

[64]

Bondanza A, Ruggeri L, Noviello M, et al. Beneficial role of CD8+ T-cell reconstitution after HLA-haploidentical stem cell transplantation for high-risk acute leukaemias: results from a clinico-biological EBMT registry study mostly in the T-cell-depleted setting. Bone Marrow Transplant. 2019; 54(6): 867-876.

[65]

Fumagalli V, Iannacone M. Unlocking CD8(+) T cell potential in chronic hepatitis B virus infection. Nat Rev Gastroenterol Hepatol. 2025; 22(2): 92-93.

[66]

Zhang C, et al. Single-cell RNA sequencing reveals intrahepatic and peripheral immune characteristics related to disease phases in HBV-infected patients. Gut. 2022; 72(1): 153-167.

[67]

Siddiqui I, Erreni M, van Brakel M, Debets R, Allavena P. Enhanced recruitment of genetically modified CX3CR1-positive human T cells into fractalkine/CX3CL1 expressing tumors: importance of the chemokine gradient. J Immunother Cancer. 2016; 4: 21.

[68]

Stern L, McGuire H, Avdic S, et al. Mass cytometry for the assessment of immune reconstitution after hematopoietic stem cell transplantation. Front Immunol. 2018; 9: 1672.

[69]

Roberto A, Castagna L, Zanon V, et al. Role of naive-derived T memory stem cells in T-cell reconstitution following allogeneic transplantation. Blood. 2015; 125(18): 2855-2864.

[70]

Cieri N, Oliveira G, Greco R, et al. Generation of human memory stem T cells after haploidentical T-replete hematopoietic stem cell transplantation. Blood. 2015; 125(18): 2865-2874.

[71]

Xu L, Yao D, Tan J, et al. Memory T cells skew toward terminal differentiation in the CD8+ T cell population in patients with acute myeloid leukemia. J Hematol Oncol. 2018; 11(1): 93.

[72]

Maeda Y. Immune reconstitution after T-cell replete HLA haploidentical hematopoietic stem cell transplantation using high-dose post-transplant cyclophosphamide. J Clin Exp Hematop. 2021; 61(1): 1-9.

[73]

Giles JR, Manne S, Freilich E, et al. Human epigenetic and transcriptional T cell differentiation atlas for identifying functional T cell-specific enhancers. Immunity. 2022; 55(3): 557-574.e7.

[74]

Taveirne S, Wahlen S, Van Loocke W, et al. The transcription factor ETS1 is an important regulator of human NK cell development and terminal differentiation. Blood. 2020; 136(3): 288-298.

[75]

Corces MR, Trevino AE, Hamilton EG, et al. An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues. Nat Methods. 2017; 14(10): 959-962.

[76]

Young M, Behjati S. SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data. Gigascience. 2020; 9(12):giaa151.

[77]

Hao Y, Hao S, Andersen-Nissen E, et al. Integrated analysis of multimodal single-cell data. Cell. 2021; 184(13): 3573-3587.e29.

[78]

Hafemeister C, Satija R. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression. Genome Biol. 2019; 20(1): 296.

[79]

Stuart T, Srivastava A, Madad S, Lareau CA, Satija R. Single-cell chromatin state analysis with Signac. Nat Methods. 2021; 18(11): 1333-1341.

[80]

Cusanovich DA, Daza R, Adey A, et al. Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing. Science. 2015; 348(6237): 910-914.

[81]

Korsunsky I, Millard N, Fan J, et al. Fast, sensitive and accurate integration of single-cell data with Harmony. Nat Methods. 2019; 16(12): 1289-1296.

[82]

Fornes O, Castro-Mondragon JA, Khan A, et al. JASPAR 2020: update of the open-access database of transcription factor binding profiles. Nucleic Acids Res. 2020; 48(D1): D87-D92.

[83]

Van de Sande B, Flerin C, Davie K, et al. A scalable SCENIC workflow for single-cell gene regulatory network analysis. Nat Protoc. 2020; 15(7): 2247-2276.

[84]

Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov J, Tamayo P. The molecular signatures database (MSigDB) hallmark gene set collection. Cell Syst. 2015; 1(6): 417-425.

[85]

Wu T, Hu E, Xu S, et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation (Camb). 2021; 2(3):100141.

[86]

Zhang X, Lan Y, Xu J, et al. CellMarker: a manually curated resource of cell markers in human and mouse. Nucleic Acids Res. 2019; 47(D1): D721-D728.

[87]

Newman AM, Steen CB, Liu CL, et al. Determining cell type abundance and expression from bulk tissues with digital cytometry. Nat Biotechnol. 2019; 37(7): 773-782.

[88]

Cerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012; 2(5): 401-404.

[89]

Hong D, Lin H, Liu L, et al. Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysis. Brief Bioinform. 2022; 24(1):bbac508.

[90]

Pliner HA, Packer JS, McFaline-Figueroa JL, et al. Cicero predicts cis-regulatory DNA interactions from single-cell chromatin accessibility data. Mol Cell. 2018; 71(5): 858-871.e8.

RIGHTS & PERMISSIONS

2026 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

PDF

11

Accesses

0

Citation

Detail

Sections
Recommended

/