Multi-Omics Lung Mycobiome Data for Adenocarcinoma Progression

A study by Haoshuai Yang, uploaded to figshare in April 2026, maps fungal ecosystem dynamics across the spectrum from minimally invasive to invasive lung adenocarcinoma. The dataset likely contains multi-omics data identifying Candida albicans as a pivotal biomarker for invasive progression. The file is a 15.2 KB DOCX document.

Use Cases

• Identify fungal biomarkers for lung adenocarcinoma invasiveness based on the multi-omics landscape described.
• Analyze correlations between fungal diversity and tumor progression stages mentioned in the study.
• Model the pro-tumorigenic immune and metabolic shifts orchestrated by the mycobiome as suggested by the functional integration.
• Validate Candida albicans as a distinguishing factor between invasive and indolent lesions.

Strengths

• Data is derived from an integrated multi-omics approach as described in the study.
• The dataset is openly licensed under CC-BY-4.0.
• The study identifies a specific fungal species, Candida albicans, as a pivotal biomarker.

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 15.2 KB, indicating limited scope.

Provenance

Source

figshare, author Haoshuai Yang.

Collection Method

Likely generated from an integrated multi-omics study of lung tissue samples.

Time Range

null

Freshness

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

Geography

null