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Characterizing and harnessing tumor-reactive T cells in the brain

CORDIS · observation · Publication date unknown

essing tumor-reactive orphan TCRs from TILs for personalized brain tumor immunotherapy. Using human brain tumor tissue we have developed and experimentally validated predicTCR, a novel approach using machine learning and explainable AI to derive a classifier that predicts tumor-reactivity of such orphan TCRs based on the expression of signature genes with > 90% accuracy across multiple tumour entities. CENTRIC-BRAIN will employ predicTCR to develop a personalized adoptive cell therapy using transgenic T cells with tumor-specific TCRs and improved function. CENTRIC-BRAIN hypothesizes that the signature genes underlying predicTCR determine the phenotypic and functional properties of tumor-reactive T cells and that predicted tumor-reactive orphan TCRs can be employed for adoptive therapy with personalized TCR-transgenic T cells. Aim 1 will refine predicTCR by characterizing the transcriptional programs and spatial distribution of tumor-reactive T cells in human brain tumor samples. Aim 2 will define the functional relevance of transcriptional programs for tumor-reactive T cells in syn

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recordType

award

status

SIGNED

region

EU

value

2499861

unit

EUR