Gastric Cancer Biomarker Expression and Prognostic Significance

A study analyzing the expression of FAP, CAV1, and CPXM2 proteins in gastric cancer and adjacent tissues using multiplex immunofluorescence on tissue microarrays. The dataset, authored by Lijie Zhou and last updated in April 2026, correlates marker levels with clinicopathological features and patient survival outcomes. The file is a 776.7 KB document.

Use Cases

• Correlating biomarker expression (FAP, CAV1, CPXM2) with overall survival in gastric cancer patients based on the study's findings.
• Analyzing associations between cell type-specific protein levels (e.g., stromal CAV1) and clinicopathological parameters like AJCC stage.
• Investigating differential expression patterns between epithelial and stromal cells in gastric cancer tissues based on the described methodology.

Strengths

• Data is derived from multiplex immunofluorescence performed on tissue microarrays, a specific experimental method.
• Analysis includes correlations with multiple clinicopathological parameters (AJCC stage, invasion depth, tumor location) and survival outcomes.
• Dataset is openly shared under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data file is a DOCX document, which may require extraction or conversion for computational analysis.

Provenance

Source

figshare, author Lijie Zhou.

Collection Method

Multiplex immunofluorescence (mIF) performed on tissue microarrays from gastric cancer specimens.

Time Range

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Freshness

Last updated 2026-04-13 04:31:01; freshness should be verified.

Geography

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