Lung Mycobiome Multi-omics Data for Adenocarcinoma Progression Analysis

Table 2_Multi-omics landscape of lung mycobiome dysbiosis: Candida albicans drives the invasive progression of lung adenocarcinoma is a 38.7 KB dataset authored by Haoshuai Yang and last updated on April 15, 2026. It presents findings from an integrated multi-omics study mapping fungal ecosystem dynamics across the minimally invasive to invasive adenocarcinoma spectrum. The data likely contains metrics on fungal diversity and biomarkers, such as Candida albicans, linked to tumor progression.

Use Cases

• Identify fungal biomarkers for lung adenocarcinoma invasiveness based on the described multi-omics landscape.
• Analyze correlations between fungal diversity and tumor stage based on the described elevation in invasive tissues.
• Model the pro-tumorigenic shift in immune and metabolic landscapes based on the described functional integration findings.

Strengths

• Data is licensed under CC-BY-4.0, permitting open sharing and adaptation.
• Last updated on 2026-04-15, indicating recent curation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 38.7 KB, suggesting limited scope.

Provenance

Source

Haoshuai Yang via figshare

Collection Method

Integrated multi-omics approach as described in the study summary.

Time Range

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Freshness

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

Geography

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