4.8 Article

Transcriptional states of CAR-T infusion relate to neurotoxicity - lessons from high-resolution single-cell SOM expression portraying

Journal

FRONTIERS IN IMMUNOLOGY
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.994885

Keywords

single-cell transcriptomics; CAR-T cell immunotherapy; data portraying; transcriptional states; bioinformatics workflow

Categories

Funding

  1. Innovative Medicine Initiative 2 Joint Undertaking (JU) [853988]
  2. European Union
  3. EFPIA
  4. JDRF INTERNATIONAL
  5. Open Access Publishing Fund of Leipzig University
  6. German Research Foundation

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Anti-CD19 CAR-T cell immunotherapy is a potential treatment option for B cell lymphomas, but it can lead to severe adverse effects like neurotoxicity. Single-cell RNA sequencing data analysis reveals differences in T cell composition and transcriptional states between patients with different levels of ICANS. The abundance of cycling cells, LAG3-mediated exhaustion, and CAR positive cells varies among patients. These findings provide molecular insights that could help overcome neurotoxicity.
Anti-CD19 CAR-T cell immunotherapy is a hopeful treatment option for patients with B cell lymphomas, however it copes with partly severe adverse effects like neurotoxicity. Single-cell resolved molecular data sets in combination with clinical parametrization allow for comprehensive characterization of cellular subpopulations, their transcriptomic states, and their relation to the adverse effects. We here present a re-analysis of single-cell RNA sequencing data of 24 patients comprising more than 130,000 cells with focus on cellular states and their association to immune cell related neurotoxicity. For this, we developed a single-cell data portraying workflow to disentangle the transcriptional state space with single-cell resolution and its analysis in terms of modularly-composed cellular programs. We demonstrated capabilities of single-cell data portraying to disentangle transcriptional states using intuitive visualization, functional mining, molecular cell stratification, and variability analyses. Our analysis revealed that the T cell composition of the patient's infusion product as well as the spectrum of their transcriptional states of cells derived from patients with low ICANS grade do not markedly differ from those of cells from high ICANS patients, while the relative abundancies, particularly that of cycling cells, of LAG3-mediated exhaustion and of CAR positive cells, vary. Our study provides molecular details of the transcriptomic landscape with possible impact to overcome neurotoxicity.

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