Supplementary Tables S1-S9: Hypoxia-Related Genes and Analyses for Lung Adenocarcinoma

Nine Excel tables totaling 1.1 MB, published by Bandar Alghamdi on figshare in June 2026 under a CC-BY-4.0 license. The tables contain lists of hypoxia-related genes, differentially expressed genes (DEGs) from TCGA LUAD and GSE18842 datasets, enriched pathways, protein-protein interaction (PPI) network rankings, and genes identified via Kaplan-Meier and univariate regression survival analyses.

Use Cases

• Identify hypoxia-related differentially expressed genes (DEGs) based on lists from TCGA LUAD and GSE18842.
• Analyze enriched biological pathways associated with upregulated and downregulated genes using tables with FDR < 0.05.
• Study protein-protein interaction networks based on rankings derived from the Degree method.
• Evaluate gene prognostic value based on significant genes identified in Kaplan-Meier survival analysis.
• Assess gene association with survival outcomes based on significant genes identified in univariate regression analysis.

Strengths

• Nine distinct tables covering gene lists, pathway enrichment, network analysis, and survival analysis.
• Data is derived from two established lung cancer datasets: TCGA LUAD and GSE18842.
• Tables include statistical significance thresholds (FDR < 0.05) for pathway enrichment.

Limitations

• Row counts for each table are unknown, limiting assessment of dataset scale.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Analysis of publicly available datasets (TCGA LUAD and GSE18842).

Freshness

Last updated 2026-06-03 17:40:28; freshness should be verified.