Osteosarcoma Heterogeneity and CKMT2 Prognostic Marker Data

A 304.9 KB Excel file containing data from a study that identified ten primary cell types and five malignant subtypes in osteosarcoma using single-cell transcriptomic data. The research, authored by Xuesong Li and last updated in May 2026, established Creatine Kinase Mitochondrial 2 (CKMT2) as a key prognostic biomarker and therapeutic target through machine learning modeling and functional assays.

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.
• Validating intratumoral heterogeneity stratification methods in independent cancer cohorts.

Strengths

• Data is derived from integrated single-cell and multi-cohort transcriptomic datasets, suggesting multi-source validation.
• The prognostic model was validated through clinical assays and in vitro functional tests.
• File is available under a permissive CC-BY-4.0 license.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 304.9 KB file size indicates a very limited data scope.

Provenance

Source

figshare, author Xuesong Li.

Collection Method

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

Freshness

Last updated 2026-05-26 09:03:36; freshness should be verified.