Deciphering the landscape of transcriptional heterogeneity across cancer
- PMID: 37595585
- DOI: 10.1016/j.ccell.2023.07.008
Deciphering the landscape of transcriptional heterogeneity across cancer
Abstract
By integrating scRNA-seq datasets across 77 studies and 24 cancer types, in Nature, Gavish et al. uncover recurrent patterns of gene expression that explain a significant proportion of transcriptomic heterogeneity observed in cancer and explore their functional significance.
Copyright © 2023 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of interests N.M. has received consultancy fees and has stock options in Achilles Therapeutics. N.M. holds European patents relating to targeting neoantigens (PCT/EP2016/059,401), identifying patient response to immune checkpoint blockade (PCT/EP2016/071,471), determining HLA LOH (PCT/GB2018/052,004), and predicting survival rates of patients with cancer (PCT/GB2020/050,221).
Comment on
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Hallmarks of transcriptional intratumour heterogeneity across a thousand tumours.Nature. 2023 Jun;618(7965):598-606. doi: 10.1038/s41586-023-06130-4. Epub 2023 May 31. Nature. 2023. PMID: 37258682
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