1. Cancer cell states: Lessons from ten years of single-cell RNA-sequencing of human tumors.
- Author
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Tirosh, Itay and Suva, Mario L.
- Subjects
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CANCER cells , *GENE expression , *RNA sequencing , *RESEARCH implementation , *BIOLOGY - Abstract
Human tumors are intricate ecosystems composed of diverse genetic clones and malignant cell states that evolve in a complex tumor micro-environment. Single-cell RNA-sequencing (scRNA-seq) provides a compelling strategy to dissect this intricate biology and has enabled a revolution in our ability to understand tumor biology over the last ten years. Here we reflect on this first decade of scRNA-seq in human tumors and highlight some of the powerful insights gleaned from these studies. We first focus on computational approaches for robustly defining cancer cell states and their diversity and highlight some of the most common patterns of gene expression intra -tumor heterogeneity (eITH) observed across cancer types. We then discuss ambiguities in the field in defining and naming such eITH programs. Finally, we highlight critical developments that will facilitate future research and the broader implementation of these technologies in clinical settings. Over the last 10 years, numerous studies have profiled human tumors by single-cell RNA-seq. In this perspective, Tirosh and Suva describe the cell states most commonly observed in cancer, highlight insights into cancer biology, and discuss challenges and future directions in single-cell analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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