Plasma sEV miRNA Profiles for Lung Adenocarcinoma and Clinical Features

Junyang Deng published supporting materials for a study comparing plasma small extracellular vesicle miRNA profiles between lung adenocarcinoma patients and non-cancer subjects on figshare in 2026. The data likely contains miRNA expression levels derived from small RNA Next Generation Sequencing. The study correlates these profiles with clinical-pathological features such as age, sex, smoking history, disease staging, and EGFR mutation status.

Use Cases

• Identify differentially expressed miRNAs based on sequencing data.
• Correlate miRNA profiles with patient age and sex.
• Analyze miRNA expression patterns relative to smoking history.
• Associate miRNA levels with disease staging.
• Explore miRNA profiles in relation to EGFR mutation status.

Strengths

• Data is associated with a published study comparing cancer and non-cancer subjects.
• Clinical-pathological features including age, sex, smoking history, disease staging, and EGFR mutation status are mentioned.
• Analysis methods include Differential Expression miRNA analysis and Weighted Gene Co-expression Network Analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Small RNA Next Generation Sequencing of plasma sEVs.

Freshness

Last updated 2026-06-01 01:39:28; freshness should be verified.