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Using single-cell transcriptomics to predict which tumors will respond to targeted therapy

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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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Fig. 1: PERCEPTION develops drug-response models in a three-stage process.

References

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This is a summary of: Sinha, S. et al. PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors. Nat. Cancer https://doi.org/10.1038/s43018-024-00756-7 (2024).

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Using single-cell transcriptomics to predict which tumors will respond to targeted therapy. Nat Cancer (2024). https://doi.org/10.1038/s43018-024-00757-6

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  • DOI: https://doi.org/10.1038/s43018-024-00757-6

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