Dynamical System Modeling Of Immune Reconstitution Following Allogeneic Stem Cell Transplantation Identifies Patients At Risk For Adverse Outcomes

Amir A. Toor; Roy T. Sabo; Catherine H. Roberts; Bonny L. Moore; Salman R. Salman; Allison F. Scalora; May T. Aziz; Ali S. Shubar Ali; Charles E. Hall; Jeremy Meier; Radhika M. Thorn; Elaine Wang; Shiyu Song; Kristin Miller; Kathryn Rizzo; William B. Clark; John M. McCarty; Harold M. Chung; Masoud H. Manjili; Michael C. Neale

arXiv · 1412.4416

Dynamical System Modeling Of Immune Reconstitution Following Allogeneic Stem Cell Transplantation Identifies Patients At Risk For Adverse Outcomes

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Abstract

Systems that evolve over time and follow mathematical laws as they do so, are called dynamical systems. Lymphocyte recovery and clinical outcomes in 41 allograft recipients conditioned using anti-thymocyte globulin (ATG) and 4.5 Gray total-body-irradiation were studied to determine if immune reconstitution could be described as a dynamical system. Survival, relapse, and graft vs. host disease (GVHD) were not significantly different in two cohorts of patients receiving different doses of ATG. However, donor-derived CD3+ (ddCD3) cell reconstitution was superior in the lower ATG dose cohort, and there were fewer instances of donor lymphocyte infusion (DLI). Lymphoid recovery was plotted in each individual over time and demonstrated one of three sigmoid growth patterns; Pattern A (n=15), had rapid growth with high lymphocyte counts, pattern B (n=14), slower growth with intermediate recovery and pattern C, poor lymphocyte reconstitution (n=10). There was a significant association between lymphocyte recovery patterns and both the rate of change of ddCD3 at day 30 post-SCT and the clinical outcomes. GVHD was observed more frequently with pattern A; relapse and DLI more so with pattern C, with a consequent survival advantage in patients with patterns A and B. We conclude that evaluating immune reconstitution following SCT as a dynamical system may differentiate patients at risk of adverse outcomes and allow early intervention to modulate that risk.

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Amir A. Toor, Roy T. Sabo, Catherine H. Roberts, Bonny L. Moore, Salman R. Salman, Allison F. Scalora, May T. Aziz, Ali S. Shubar Ali, Charles E. Hall, Jeremy Meier, Radhika M. Thorn, Elaine Wang, Shiyu Song, Kristin Miller, Kathryn Rizzo, William B. Clark, John M. McCarty, Harold M. Chung, Masoud H. Manjili, Michael C. Neale. 2014-12-14. Dynamical System Modeling Of Immune Reconstitution Following Allogeneic Stem Cell Transplantation Identifies Patients At Risk For Adverse Outcomes. https://arxiv.org/abs/1412.4416

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