Multi-omics Lung Mycobiome Data for Adenocarcinoma Progression

A study mapping the fungal ecosystem dynamics across the minimally invasive to invasive lung adenocarcinoma spectrum. The dataset, authored by Haoshuai Yang and last updated in April 2026, identifies Candida albicans as a pivotal biomarker and links fungal enrichment to pro-tumorigenic immune and metabolic shifts.

Use Cases

• Identifying fungal biomarkers for lung adenocarcinoma invasiveness based on the multi-omics landscape.
• Analyzing the correlation between fungal diversity and tumor progression stages described in the study.
• Modeling the functional integration of the mycobiome with host immune and metabolic profiles mentioned in the description.

Strengths

• Data is derived from an integrated multi-omics approach, as described.
• The study specifically identifies Candida albicans as a key biomarker distinguishing invasive from indolent lesions.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 14.9 KB, indicating limited scope.

Provenance

Source

figshare, author Haoshuai Yang.

Collection Method

Integrated multi-omics approach mapping fungal ecosystem dynamics, as per the description.

Time Range

Study period not specified in the provided metadata.

Freshness

Last updated 2026-04-15 05:33:25; freshness should be verified.

Geography

Geographic coverage not specified in the provided metadata.