Six Core Gene Markers for Colorectal Cancer Diagnosis

Figshare hosts a dataset containing six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) identified as malignant transformation markers in colorectal polyps. The data was generated by Tao He using bioinformatics and machine learning analysis of public gene expression cohorts. It serves as the basis for a ridge regression diagnostic model validated in internal and external datasets.

Use Cases

• Validate the diagnostic model's six core genes (EIF2S3, GTF3A, HMGA1, HSP90AB1, PABPC1, S100A11) in independent colorectal cancer cohorts.
• Investigate the correlation between high expression of EIF2S3 and S100A11 genes and poor patient prognosis using survival analysis.
• Use the identified gene markers as potential therapeutic targets for colorectal cancer treatment development.

Strengths

• Dataset is derived from analysis of multiple public genomic cohorts, including GSE209741, GSE161277, and TCGA-COADREAD.
• Core findings, including the six-gene diagnostic model, were validated in an external independent cohort (GSE41258).
• Protein expression levels of the six core genes were cross-verified using the UALCAN database.

Limitations

• The dataset is very small at 11.1 KB, indicating it contains summary results, not raw expression data for model replication.
• Specific row and column counts are unknown, limiting assessment of the data's analytical scope and granularity.
• The data's utility is highly specific to the validation of the six identified genes and the published diagnostic model.

Provenance

Source

Analysis of public datasets GSE209741, GSE161277, TCGA-COADREAD, and GSE41258.

Collection Method

Bioinformatics analysis using edgeR, WGCNA, Boruta algorithm, LASSO regression, XGBoost, and ridge regression modeling.

Freshness

Last updated March 24, 2026.