m6A and Autophagy-Related lncRNA Signature for Esophageal Squamous Cell Carcinoma

A prognostic risk model based on five m6A- and autophagy-related long non-coding RNAs (LINC00847, UBL7-AS1, LINC01554, LINC00601, FAM222A-AS1) for predicting survival in esophageal squamous cell carcinoma. The dataset was created by Mingyi Yang and published on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-28. It integrates transcriptomic data from The Cancer Genome Atlas and Gene Expression Omnibus.

Use Cases

• Predicting overall survival in esophageal squamous cell carcinoma patients based on the five-lncRNA signature.
• Analyzing associations between prognostic risk scores and clinical features.
• Investigating the tumor immune microenvironment through immune cell infiltration and checkpoint molecule expression.
• Identifying potential therapeutic compounds tailored to different prognostic risk subgroups.
• Proposing regulatory axes linking m6A modification, autophagy, and lncRNAs in cancer pathogenesis.

Strengths

• The prognostic model is based on five specific lncRNAs (LINC00847, UBL7-AS1, LINC01554, LINC00601, FAM222A-AS1).
• Validation was performed using an independent cohort from the Gene Expression Omnibus.
• Analysis includes multiple validation methods: survival analysis, ROC curves, and immune profiling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect the specific biases inherent to the TCGA and GEO source repositories.

Provenance

Source

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

Collection Method

Transcriptomic data analysis, co-expression analysis, differential expression profiling, and regression modeling.

Freshness

Last updated 2026-05-28 06:20:39; freshness should be verified.