Spatial Transcriptomic Profiles of KRAS G12C-Mutant Lung Adenocarcinoma Tumors

Four primary tumor tissue samples from patients with KRAS G12C-mutant lung adenocarcinoma were profiled using 10x Visium spatial transcriptomics. The data includes 14,351 spatial spots across 18 transcriptionally distinct clusters, generated by author Shoupeng Shao and last updated in May 2026. Analysis identified a fibroblast-associated extracellular matrix remodeling niche linked to metastatic cases.

Use Cases

• Identify spatial gene expression patterns associated with metastasis based on 18 distinct transcriptional clusters.
• Validate fibroblast-associated extracellular matrix remodeling modules based on genes like COL1A1, COL1A2, and VCAN.
• Perform cell-type deconvolution analysis using a published NSCLC single-cell atlas as a reference.
• Correlate candidate pathway signatures, such as collagen formation and EMT markers, with clinical outcomes in external datasets like TCGA.

Strengths

• Spatial transcriptomic data from 14,351 spots provides a detailed map of gene expression within tumor tissue.
• Includes samples from four patients with a clinically relevant KRAS G12C mutation, with a defined comparison between metastatic and non-metastatic cases.
• Analysis is linked to functional validation using fibroblast–tumor co-culture assays and external validation in TCGA data.

Limitations

• Row count for the underlying data matrix is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample size of four patients is small, which may limit the generalizability of findings.

Provenance

Source

figshare

Collection Method

10x Visium spatial transcriptomic profiling of primary tumor tissues.

Freshness

Last updated 2026-05-23 07:20:01