Integrative Pan-Cancer Analysis of Lactylation Genes in Colon Adenocarcinoma

A 22.5 KB dataset by Mingyang Zou, last updated March 18, 2026, containing results from a multi-omics analysis of lactylation-related genes in colon adenocarcinoma and pan-cancer cohorts. It includes findings from bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomic data from sources like TCGA and GEO, identifying AARS2 as a key biomarker. The analysis involved a curated set of 160 lactylation-related genes and was validated with clinical specimens and in vitro studies.

Use Cases

• Constructing prognostic signatures for colon adenocarcinoma based on lactylation-related gene expression.
• Validating AARS2 expression and its correlation with clinical outcomes using immunohistochemistry and in vitro data.
• Analyzing associations between lactylation genes and tumor microenvironment features like immunosuppression.
• Investigating the role of lactylation in epithelial-mesenchymal transition and hypoxia response pathways.

Strengths

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

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The primary data file is a 22.5 KB DOCX document, which suggests the dataset is a summary of findings rather than raw experimental data.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Public repositories including The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO).

Collection Method

Integrative multi-omics analysis leveraging bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomic data.

Freshness

Last updated 2026-03-18 07:38:35.