Mass Cytometry and Topological Data Analysis Reveal Immune Parameters Associated with Complications after Allogeneic Stem Cell Transplantation

Publication date: 29 August 2017
Source:Cell Reports, Volume 20, Issue 9
Author(s): Tadepally Lakshmikanth, Axel Olin, Yang Chen, Jaromir Mikes, Erik Fredlund, Mats Remberger, Brigitta Omazic, Petter Brodin
Human immune systems are variable, and immune responses are often unpredictable. Systems-level analyses offer increased power to sort patients on the basis of coordinated changes across immune cells and proteins. Allogeneic stem cell transplantation is a well-established form of immunotherapy whereby a donor immune system induces a graft-versus-leukemia response. This fails when the donor immune system regenerates improperly, leaving the patient susceptible to infections and leukemia relapse. We present a systems-level analysis by mass cytometry and serum profiling in 26 patients sampled 1, 2, 3, 6, and 12 months after transplantation. Using a combination of machine learning and topological data analyses, we show that global immune signatures associated with clinical outcome can be revealed, even when patients are few and heterogeneous. This high-resolution systems immune monitoring approach holds the potential for improving the development and evaluation of immunotherapies in the future.

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Teaser

Lakshmikanth et al. conduct a systems analysis of immune reconstitution after stem cell transplantation. Using topological data analysis, combinations of cells and proteins associated with CMV and graft-versus-host disease were revealed and illustrate the potential of systems immunomonitoring to improve the development and evaluation of cancer immunotherapies.


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