Lung Mycobiome Multi-Omics Data for Adenocarcinoma Progression

Candida albicans is identified as a pivotal biomarker distinguishing invasive from indolent lung adenocarcinoma lesions. This dataset likely contains multi-omics data mapping fungal ecosystem dynamics across the minimally invasive to invasive adenocarcinoma spectrum, authored by Haoshuai Yang and last updated in April 2026. The 35.1 KB file suggests a focused analysis rather than a large-scale data repository.

Use Cases

• Identifying fungal biomarkers for lung cancer invasiveness based on the described multi-omics landscape.
• Analyzing correlations between fungal diversity and tumor stage based on the described elevation in fungal diversity in invasive tissues.
• Modeling host immune and metabolic landscape shifts driven by fungal enrichment as described in the functional integration findings.

Strengths

• Data is derived from an integrated multi-omics approach as described.
• Findings are specific, identifying Candida albicans as a key biomarker.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are unknown.
• The dataset is very small at 35.1 KB, indicating limited scope.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Haoshuai Yang via figshare

Collection Method

Likely generated from an integrated multi-omics study of lung adenocarcinoma tissues.

Time Range

null

Freshness

Last updated 2026-04-15 05:33:26

Geography

null