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Enhancing the anti-tumor efficacy of Bispecific T cell engagers via cell surface glycocalyx editing

GSE245991 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/06/05 Platform GPL20301
Summary
Bispecific T-cell engager (BiTE)-based cancer therapies that activate the cytotoxic T cells of a patient’s own immune system have gained momentum with the recent FDA approval of Blinatumomab for treating B cell malignancies. However, this approach has had limited success in targeting solid tumors. We have reported the development of BiTE-sialidase fusion proteins that enhance tumor cell susceptibility to BiTE-mediated cytolysis by T cells via targeted desialylation at the BiTE-induced T cell-tumor cell interface. Targeted desialylation results in better immunological synapse formation, T-cell activation and effector function. As a result, BiTE-sialidase fusion proteins show remarkably increased efficacy in inducing T-cell-dependent tumor cell cytolysis in response to target antigens compared to the parent BiTE molecules alone. This enhanced function is seen both in vitro and in in vivo xenograft and syngeneic solid tumor mouse models. Our findings highlight BiTE-sialidase fusion proteins as promising candidates for the development of next-generation bispecific T-cell engaging molecules for cancer immunotherapy. This transcriptomic dataset documents the effect of BiTE-sialidase vs uncojugated BiTE on T cells including the upregulation of effector associated genes.
Published in
Targeted desialylation and cytolysis of tumour cells by fusing a sialidase to a bispecific T-cell engager
Yang Z, Hou Y, Grande G et al. · Nature biomedical engineering 2024 · PMID 38693431 · doi:10.1038/s41551-024-01202-w
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Direct links to NCBI, no account and no request form: the whole study as GSE245991_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1030938 and SRA study SRP467845. Searching any of these in the dataset finder brings you back here.

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