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

Front Immunol. 2023 Mar 20:14:1082727. doi: 10.3389/fimmu.2023.1082727. eCollection 2023.

Abstract

Introduction: 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.

Methods: 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.

Results: 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).

Discussion: 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.

Keywords: 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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antilymphocyte Serum
  • Cyclophosphamide
  • Graft vs Host Disease*
  • Hematopoietic Stem Cell Transplantation* / adverse effects
  • Humans
  • Immune Reconstitution*
  • T-Lymphocyte Subsets
  • Time Factors

Substances

  • Antilymphocyte Serum
  • Cyclophosphamide

Grants and funding

This study was in part supported by the Bundesministerium für Bildung und Forschung (BMBF) through grants 031L0027 (DB), 01ZX1303A (HCR) and by the Deutsche Forschungsgemeinschaft (DFG) grant FU 356/12-1 (ATT) and grant #FL843/1-1 (KF), and the Deutsche José Carreras Leukämiestiftung, grant 20R/2019 (KF). This work was further funded through the German-Israeli Foundation for Scientific Research and Development (I-65-412.20-2016 to HCR), the DFG grant RE 2246/13-1 (HCR), the Deutsche Jose Carreras Leukämie Stiftung (R12/08 to HCR), the Else Kröner-Fresenius Stiftung (EKFS-2014-A06 to HCR, 2016_Kolleg.19 to HCR), the Deutsche Krebshilfe (1117240 and 70113041 to HCR).