Single-cell analyses to tailor treatments

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Presentation transcript:

Single-cell analyses to tailor treatments by Alex K. Shalek, and Mikael Benson Sci Transl Med Volume 9(408):eaan4730 September 20, 2017 Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

Fig. 1. scRNA-seq applications in cancer medicine. scRNA-seq applications in cancer medicine. (A) Bulk analysis of a tumor identifies the predominant malignant clone and suggests a drug to target it but not other clones. (B) scRNA-seq resolves each clone within a tumor, as well as the corresponding biomarkers and cognate drugs, enabling successful therapy. (C) Longitudinal profiling of patient samples with scRNA-seq (or biomarkers discovered with it) can be used to monitor disease state and select the appropriate time to treat, given the benefits and costs of intervention. (D) Analysis of samples before and after treatment may reveal subsets refractory to a given therapy, as well as their biomarkers and mechanisms of resistance. (E) Because of its sensitivity, scRNA-seq might also be used in a clinical setting for detection of rare disease-associated cells (such as minimal residual disease), which would have been missed by bulk analyses. Alex K. Shalek and Mikael Benson Sci Transl Med 2017;9:eaan4730 Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).