Osteosarcoma Heterogeneity and Prognostic Gene Analysis

A 44.3 KB Excel file published on figshare by Xuesong Li in May 2026. It contains data from a study that integrated single-cell and multi-cohort transcriptomic datasets to map intratumoral heterogeneity in osteosarcoma. The research identified molecular subtypes and validated CKMT2 as a prognostic biomarker and therapeutic target.

Use Cases

• Training prognostic risk models based on the ten critical genes identified in the study.
• Analyzing the correlation between molecular subtypes and clinical prognosis or immune infiltration.
• Investigating the functional role of the CKMT2 gene in osteosarcoma cell proliferation.

Strengths

• Data is derived from integrated single-cell and multi-cohort transcriptomic datasets, suggesting a multi-source validation approach.
• The study includes validation through immunohistochemistry and in vitro functional assays, indicating experimental support for the findings.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• The dataset is very small at 44.3 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Xuesong Li.

Collection Method

Integrated single-cell transcriptomic data with multi-cohort transcriptomic datasets from public repositories, followed by bioinformatics and machine learning analysis.

Freshness

Last updated 2026-05-26 09:03:37; freshness should be verified.