4.7 Article

Inflammatory signatures for quick diagnosis of life-threatening infection during the CAR T-cell therapy

Journal

JOURNAL FOR IMMUNOTHERAPY OF CANCER
Volume 7, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s40425-019-0767-x

Keywords

Chimeric antigen receptor-modified T-cell therapy; Infection; Cytokine release syndrome; Inflammatory factors

Funding

  1. National Natural Science Foundation of China [81230052, 81630006, 81770211, 81873452]
  2. Program of Natural Science Foundation of Hubei Province [2016CFA011, 2018ACA140]

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Background: Chimeric antigen receptor-modified (CAR) T-cell immunotherapy is a novel promising therapy for treatment of B-cell malignancy. Cytokine release syndrome (CRS) and infection are the most common adverse events during CAR T-cell therapy. Similar clinical presentation of concurrent CRS and infection makes it difficult to differentially diagnose and timely treat the condition. Methods: We analyzed the features of infection events during the first 30 days after CAR T-cell infusion (CTI) in 109 patients from three clinical trials (ChiCTR-OPN-16008526, ChiCTR-OPC-16009113, ChiCTR-OPN-16009847). Based on the dynamic changes of interleukin (IL)-6 and ferritin, we proposed the double peaks of IL-6 pattern as a feature of life-threatening infection during the first 30 days after CTI. Meanwhile, we screened candidate biomarkers from 70-biomarker panel to establish a prediction model for life-threatening infection. Results: In this study, 19 patients (17.4%) experienced a total of 19 infection events during the first 30 days after CAR T-cell infusion. Eleven patients (10.1%) had grade 4-5 infection, which were all bacterial infection and predominantly sepsis (N=9). Double peaks of IL-6 appeared in 9 out of 11 patients with life-threatening infection. The prediction model of three-cytokines (IL-8, IL-1 beta and interferon-gamma) could predict life-threatening infection with high sensitivity (training: 100.0%; validation: 100.0%) and specificity (training: 97.6%; validation: 82.8%). On base of the aforementioned methods, we proposed a workflow for quick identification of life-threatening infection during CAR T-cell therapy. Conclusions: In this study, we worked out two diagnostic methods for life-threatening infection during CAR T-cell therapy by analyzing inflammatory signatures, which contributed to reducing risks of infection-induced death.

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