1. Cytokine profiles can predict severe CRS
Cytokine profiles can predict severe CRS. Cytokines were analyzed from the first 3 days after infusion, sent before patients developed severe CRS. Logistic and classification tree models were used to identify predictors of severe CRS. With a three-variable ...
Cytokine profiles can predict severe CRS. Cytokines were analyzed from the first 3 days after infusion, sent before patients developed severe CRS. Logistic and classification tree models were used to identify predictors of severe CRS. With a three-variable regression model, found by forward selection, we accurately predicted which patients developed severe CRS using IFNγ, sgp130, and IL1RA. A, ROC curve for the three-variable regression models in the combined cohort. With a decision tree model, we accurately predicted which patients developed severe CRS using sgp130, MCP1, and eotaxin (B). For the pediatric cohort, using a three-variable regression model we accurately predicted severe CRS with a combination of IFNγ, IL13, and MIP1α (C). In the pediatric cohort only, a bone marrow aspirate was collected immediately prior to infusion. We found that disease burden was associated with CRS severity but did not improve the predictive accuracy of the models over the cytokines alone. A combination of a single cytokine, IL10, and disease burden using decision tree modeling was very accurate for CRS prediction (D). Without disease burden, using decision tree modeling a combination of IFNγ and MIP1α was accurate in the pediatric-only cohort (E).
David T. Teachey et al. Cancer Discov 2016;6:
©2016 by American Association for Cancer Research