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Researchers have identified immune cell gene expression signatures that could one day be developed into tests to predict response to treatment.
The company will collaborate the Parker Institute for Cancer Immunotherapy, Institut Gustave Roussy in France, and the University Health Network in Toronto, Canada.
The firm is using automated laboratory testing, artificial intelligence, and single-cell omics for a "precision" approach to cancer drug discovery.
Cancer Moonshot-funded teams are profiling pre-cancers in an effort to establish targeted treatment, detection, and prevention methods that can be applied before cancers form.
In a colon cancer model, researchers saw transcriptional changes and population expansions in some checkpoint receptor-negative tumor-infiltrating T cells.
Using a mouse model of immunotherapy resistant disease, the researchers found that this program could be targeted by an inhibitor to improve response.
A new analysis of immune cells in breast carcinomas and matched blood, breast, and lymph tissue uncovered phenotypic expansions in tumor immune cell populations.
Two new studies have uncovered expression-defined T cell subsets that seem to coincide with better or worse outcomes in breast cancer or non-small cell lung cancer.