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Extraction of a Stromal Metastatic Gene Signature in Breast Cancer via Spatial Profiling

GSE273439 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2024/08/04 Platform GPL30172
Summary
The identification of molecular characteristics that define metastatic disease is a primary research focus across numerous types of malignancies. Understanding the mechanisms that drive metastatic foci, which diverge significantly from the biology of primary tumors, and identifying new biomarkers specifically associated with metastatic disease, is of critical importance in oncology. Consequently, the characterization of the stroma associated with metastatic foci has been largely unexplored and remains an area requiring significant investigation. We identified a detailed transcriptional profile of the stromal compartment within primary tumors and corresponding metastatic foci using spatially resolved approaches. The identified stromal Met signature may serve as a prognostic biomarker and provide insights into the molecular mechanisms underlying the metastatic potential of the tumor microenvironment.
Published in
Extraction of a stromal metastatic gene signature in breast cancer via spatial profiling
Bertolazzi G, Cancila V, Vacca D et al. · Journal of experimental & clinical cancer research : CR 2025 · PMID 40065328 · doi:10.1186/s13046-025-03353-3
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Also filed as BioProject PRJNA1141928 and SRA study SRP523116. Searching any of these in the dataset finder brings you back here.

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