Lung Adenocarcinoma Lymph Node Yield and Survival Data

A retrospective cohort of 400 patients with stage I lung adenocarcinoma who underwent sublobar resection. The dataset includes clinical outcomes and inflammatory cytokine measurements to analyze the prognostic impact of lymph node yield.

Use Cases

• Analyze the association between lymph node yield (LNY) categories (≥4 vs. <4 nodes) and recurrence-free survival (RFS) outcomes.
• Investigate changes in inflammatory cytokine levels (IL-6, IL-4, IL-10, TNF-α) following surgery with different lymph node dissection extents.
• Validate consensus clustering subgroups (Cluster 1 and 2) based on immune and cell death profiles from The Cancer Genome Atlas (TCGA) data.
• Assess the interaction between lymph node yield and adjuvant immunochemotherapy response on patient survival.

Strengths

• Contains data for 400 patients, providing a substantive clinical cohort for analysis.
• Integrates multiple data types: clinical survival outcomes, surgical lymph node yield, and laboratory-measured inflammatory cytokine levels.
• Includes validation against external data from The Cancer Genome Atlas (TCGA) for broader context.

Limitations

• Sample size of 400 patients may limit statistical power for detecting subtle effects or subgroup analyses.
• As a retrospective study, the data may be subject to selection bias and unmeasured confounding factors.
• The 13.8 MB file size suggests the dataset is relatively small, potentially limiting the scope of included variables or raw data.

Provenance

Source

Yongzhong Li via figshare.

Collection Method

Retrospective cohort analysis with prospectively collected blood samples for cytokine detection.

Freshness

Last updated March 2026.