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Using single-cell transcriptomics to predict which tumors will respond to targeted therapy
We performed a proof-of-concept study showing that single-cell RNA sequencing, a method for capturing rich tumor information (not yet in clinics owing to high costs), can be used to identify patients likely to respond to targeted therapy and to monitor the emergence of resistance.
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PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors
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Autologous HER2-specific CAR T cells after lymphodepletion for advanced sarcoma: a phase 1 trial
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Single-cell multiomic dissection of response and resistance to chimeric antigen receptor T cells against BCMA in relapsed multiple myeloma
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Circadian regulation of cancer stem cells and the tumor microenvironment during metastasis