Integrative Pan-Cancer Analysis of Lactylation-Associated Genes in Colon Adenocarcinoma

Mingyang Zou's research dataset, last updated March 2026, contains results from a multi-omics analysis of 160 lactylation-related genes in colon adenocarcinoma and pan-cancer cohorts. The study integrates bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomic data from public repositories like TCGA and GEO, identifying AARS2 as a key biomarker. In vitro validation was performed using the HCT116 cell line.

Use Cases

• Validate prognostic signatures based on lactylation-related gene expression.
• Analyze associations between AARS2 expression and tumor microenvironment heterogeneity.
• Investigate links between lactylation, immune-related genes (CCL5, CXCL10, IFNB1), and metabolic alterations.
• Perform multi-omics data integration for biomarker discovery in colon adenocarcinoma.

Strengths

• Analysis is based on a curated set of 160 lactylation-related genes.
• Integrates multiple data types: bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics.
• Includes in vitro validation using the HCT116 cell line and immunohistochemistry on clinical specimens.

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 23.4 KB, suggesting it contains summary results rather than raw data.

Provenance

Source

figshare, author Mingyang Zou.

Collection Method

Integrative multi-omics analysis leveraging public data from TCGA and GEO repositories.

Time Range

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Freshness

Last updated 2026-03-18 07:38:36; freshness should be verified.

Geography

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