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Cancer immunotherapy is a therapy used to treat cancer patients that involves or uses components of the immune system. Some cancer immunotherapies consist of antibodies that bind to, and inhibit the function of, proteins expressed by cancer cells. Other cancer immunotherapies include vaccines and T cell infusions.
T cell infiltration in the tumour microenvironment (TME) is a prerequisite for sustained antitumour immune responses. However, identifying predictive biomarkers that quantify T cell infiltration and the presence of proinflammatory TMEs associated with immune-checkpoint inhibitor (ICI) response for clinical implementation has proved challenging. Here, we highlight a study that validates a T cell-to-stroma enrichment score generated from RNA sequencing data as a novel biomarker for ICI response in patients with urothelial carcinoma.
Dual blockade therapy is currently being trialled for multiple tumour types, but efficacy is variable. Here, the authors use longitudinal proteomics profiling of 22 patients to develop a predictive model of therapy response.
CAR T cell immunotherapy for paediatric solid and brain tumours is constrained by the availability of targetable antigens. Here, the authors investigate the landscape of cancer-specific exons as potential targets by analysing 1,532 RNAseq datasets from 16 types of paediatric solid and brain tumours.
The removal of terminal sialic acid residues on glycans at the T-cell–tumour-cell interface via a sialidase fused to a bispecific T-cell engager enhances the susceptibility of solid cancers to T-cell-mediated cytolysis.
In this Tools of the Trade article, Victor Tieu describes the development of MEGA, a platform that exploits the RNA-targeting capability of CRISPR–Cas13d and demonstrates its use to improve the anti-tumour activity of CAR T cells.
T cell infiltration in the tumour microenvironment (TME) is a prerequisite for sustained antitumour immune responses. However, identifying predictive biomarkers that quantify T cell infiltration and the presence of proinflammatory TMEs associated with immune-checkpoint inhibitor (ICI) response for clinical implementation has proved challenging. Here, we highlight a study that validates a T cell-to-stroma enrichment score generated from RNA sequencing data as a novel biomarker for ICI response in patients with urothelial carcinoma.