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

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

PROVIDER: PRJNA1141928 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR30040523_1.fastq.gz	Fastqsanger.gz
	SRR30040523_2.fastq.gz	Fastqsanger.gz
	SRR30040524_1.fastq.gz	Fastqsanger.gz
	SRR30040524_2.fastq.gz	Fastqsanger.gz
	SRR30040525_1.fastq.gz	Fastqsanger.gz

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

Project description: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.

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Project description:BackgroundThe identification of molecular features characterizing metastatic disease is a critical area of oncology research, as metastatic foci often exhibit distinct biological behaviors compared to primary tumors. While the focus has largely been on the neoplastic cells themselves, the characterization of the associated stroma remains largely underexplored, with significant implications for understanding metastasis.Main bodyBy employing spatially resolved transcriptomics, we analyzed the transcriptional features of primary breast adenocarcinoma and its associated metastatic foci, on a representative set of microregions. We identified a stromal metastatic (Met) signature, which was subsequently validated across transcriptomic reference human breast cancer (BC) datasets and in spatial transcriptomics of a murine model.ConclusionWe discuss the potential of a stromal Met signature to pinpoint metastatic breast cancer, serving as a prognostic tool that can provide a foundation for the exploration of tumor-extrinsic molecular hallmarks of BC metastatic foci.

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