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Profiling cancer cells during early metastasis identifies targetable subpopulations [cell line scRNA-seq]

GSE225331 Homo sapiens Expression profiling by high throughput sequencing 1238 samples Submitted 2023/02/17 Platform GPL20301
Summary
Profiling tumors at single-cell resolution provides an opportunity to understand complexities underpinning lymph-node metastases in head and neck squamous-cell carcinoma. Single-cell RNAseq (scRNAseq) analysis of cancer-cell trajectories identifies a sub-population of pre-metastatic cells, driven by actionable pathways including AXL and AURK. Blocking these two proteins blunts tumor invasion in patient-derived cultures. This study demonstrates the importance of tumor heterogeneity analyses in identifying key vulnerabilities during early metastasis.
Published in
Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis
Quah HS, Cao EY, Suteja L et al. · Nature communications 2023 · PMID 36973261 · doi:10.1038/s41467-023-37379-y
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Direct links to NCBI, no account and no request form: the whole study as GSE225331_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 1238 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA935281 and SRA study SRP422702. Searching any of these in the dataset finder brings you back here.

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