Using single-cell transcriptomics to predict which tumors will respond to targeted therapy
Author:
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s43018-024-00757-6.pdf
Reference4 articles.
1. Cohen, Y. C. et al. Identification of resistance pathways and therapeutic targets in relapsed multiple myeloma patients through single-cell sequencing. Nat. Med. 27, 491–503 (2021). This paper was the first to show a method for integrating scRNA-seq into clinical trials of multiple myeloma and find a resistance signature.
2. Griffiths, J. I. et al. Serial single-cell genomics reveals convergent subclonal evolution of resistance as patients with early-stage breast cancer progress on endocrine plus CDK4/6 therapy. Nat. Cancer 2, 658–671 (2021). This paper used serial single-cell genomics to track individual resistance in patients with early-stage breast cancer.
3. Maynard, A. et al. Therapy-induced evolution of human lung cancer revealed by single-cell RNA sequencing. Cell 182, 1232–1251 (2020). This paper used single-cell genomics to track how human lung cancer evolves in response to therapy.
4. Ahmadi, A. et al. The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective. Nat. Commun. 13, 1613 (2022). This paper reports a computational tool designed to identify optimal combinations of gene targets that maximize cancer cell eradication while minimizing toxicity from the destruction of normal cells.
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