Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children.

Multisystem inflammatory syndrome in children (MIS-C) presents with fever, inflammation and pathology of multiple organs in individuals under 21 years of age in the weeks following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Although an autoimmune pathogenesis has been proposed, the genes, pathways and cell types causal to this new disease remain unknown. Here we perform RNA sequencing of blood from patients with MIS-C and controls to find disease-associated genes clustered in a co-expression module annotated to CD56dimCD57+ natural killer (NK) cells and exhausted CD8+ T cells. A similar transcriptome signature is replicated in an independent cohort of Kawasaki disease (KD), the related condition after which MIS-C was initially named. Probing a probabilistic causal network previously constructed from over 1,000 blood transcriptomes both validates the structure of this module and reveals nine key regulators, including TBX21, a central coordinator of exhausted CD8+ T cell differentiation. Together, this unbiased, transcriptome-wide survey implicates downregulation of NK cells and cytotoxic T cell exhaustion in the pathogenesis of MIS-C.

Cytotoxic lymphocytes are dysregulated in multisystem inflammatory syndrome in children.

Multisystem inflammatory syndrome in children (MIS-C) presents with fever, inflammation and multiple organ involvement in individuals under 21 years following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To identify genes, pathways and cell types driving MIS-C, we sequenced the blood transcriptomes of MIS-C cases, pediatric cases of coronavirus disease 2019, and healthy controls. We define a MIS-C transcriptional signature partially shared with the transcriptional response to SARS-CoV-2 infection and with the signature of Kawasaki disease, a clinically similar condition. By projecting the MIS-C signature onto a co-expression network, we identified disease gene modules and found genes downregulated in MIS-C clustered in a module enriched for the transcriptional signatures of exhausted CD8 + T-cells and CD56 dim CD57 + NK cells. Bayesian network analyses revealed nine key regulators of this module, including TBX21 , a central coordinator of exhausted CD8 + T-cell differentiation. Together, these findings suggest dysregulated cytotoxic lymphocyte response to SARS-Cov-2 infection in MIS-C.

On-site Cytology for Development of Patient-Derived Three-dimensional Organoid Cultures - A Pilot Study.

BACKGROUND/AIM: Development of patient-derived three-dimensional (3D) organoid cultures is an emerging technique in the field of precision oncology. We aimed to integrate on-site adequacy evaluation using cytology into the tumor organoid development workflow to ensure precise characterization and growth of these cultures. PATIENTS AND METHODS: Cancer patients were consented to a Precision Medicine trial. Fresh tissue was procured for genomic analyses as well as organoid development. Fresh tissue destined for organoid development was evaluated by preparing on-site cytology smears to ensure that only lesional tissue would be submitted for further cell culture work. RESULTS: Cytology preparations were made from 64 different tumor samples and evaluated prior to tissue submission for organoid development. In 53 (82.2%) of those tumor samples, the cytology preparation was diagnostic, thus providing adequate material for organoid development. CONCLUSION: Characterizing the tissue prior to submission for organoid development ensures submission of lesional tissue only. Furthermore, it is a cost-effective method that can help document patient diagnosis. This can be of importance in biopsies, since the tissue submitted for organoid development cannot be retrieved for clinical diagnosis afterwards. Our findings in this pilot study led to the implementation of on-site cytological evaluation in the tumor organoid development workflow at the Englander Institute for Precision Medicine, NY, USA.