Journal Article DKFZ-2023-00714

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Time series clustering of T cell subsets dissects heterogeneity in immune reconstitution and clinical outcomes among MUD-HCT patients receiving ATG or PTCy.

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2023
Frontiers Media Lausanne

Frontiers in immunology 14, 1082727 () [10.3389/fimmu.2023.1082727]
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Abstract: Anti-T-lymphocyte globulin (ATG) or post-transplant cyclophosphamide (PTCy) prevent graft-versus-host disease (GVHD) after hematopoietic cell transplantation (HCT), yet individual patients benefit differentially.Given the sparse comparative data on the impact of cellular immune reconstitution in this setting, we studied flow cytometry and clinical outcomes in 339 recipients of 10/10 matched-unrelated donor (MUD) HCT using either ATG (n=304) or PTCy (n=35) for in vivo T cell manipulation along with a haploidentical PTCy control cohort (n=45). Longitudinal cellular immune reconstitution data were analyzed conventionally and with a data science approach using clustering with dynamic time warping to determine the similarity between time-series of T cell subsets.Consistent with published studies, no significant differences in clinical outcomes were observed at the cohort level between MUD-ATG and MUD-PTCy. However, cellular reconstitution revealed preferences for distinct T cell subpopulations associating with GVHD protection in each setting. Starting early after HCT, MUD-PTCy patients had higher regulatory T cell levels after HCT (p <0.0001), while MUD-ATG patients presented with higher levels of γδ T- or NKT cells (both p <0.0001). Time-series clustering further dissected the patient population's heterogeneity revealing distinct immune reconstitution clusters. Importantly, it identified phenotypes that reproducibly associated with impaired clinical outcomes within the same in vivo T cell manipulation platform. Exemplarily, patients with lower activated- and αβ T cell counts had significantly higher NRM (p=0.032) and relapse rates (p =0.01).The improved understanding of the heterogeneity of cellular reconstitution in MUD patients with T cell manipulation both at the cohort and individual level may support clinicians in managing HCT complications.

Keyword(s): Humans (MeSH) ; Time Factors (MeSH) ; Immune Reconstitution (MeSH) ; Antilymphocyte Serum (MeSH) ; Hematopoietic Stem Cell Transplantation: adverse effects (MeSH) ; Cyclophosphamide (MeSH) ; Graft vs Host Disease (MeSH) ; T-Lymphocyte Subsets (MeSH) ; GVHD prophylaxis ; anti-T-lymphocyte globulin ; anti-thymocyte globulin (ATG) ; dynamic time warping (DTW) ; matched unrelated donor allogeneic hematopoietic stem cell transplantation ; post-transplant cyclophosphamide ; time-series (TS) model ; unsupervised learning ; Antilymphocyte Serum ; Cyclophosphamide

Classification:

Contributing Institute(s):
  1. DKTK ED ES zentral (ED01)
Research Program(s):
  1. 899 - ohne Topic (POF4-899) (POF4-899)

Appears in the scientific report 2023
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Medline ; Creative Commons Attribution CC BY (No Version) ; DOAJ ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2023-04-11, last modified 2024-02-29


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