Sid Sijbrandij's Osteosarcoma Longitudinal Clinical and Molecular Data

Clinical and molecular data were generated for a patient diagnosed with osteosarcoma in November 2022. The dataset includes longitudinal single-cell and bulk RNA/DNA sequencing, spatial transcriptomics, residual disease testing, flow cytometry, imaging, and clinical lab results. It is shared by the Rare Cancer Research Foundation via AWS Open Data to advance cancer research.

Use Cases

• Modeling treatment response based on longitudinal clinical and molecular data mentioned in the description
• Analyzing tumor heterogeneity and evolution using longitudinal single-cell and bulk sequencing data
• Correlating imaging and spatial transcriptomics features with clinical outcomes
• Developing biomarkers for minimal residual disease detection based on the described MRD testing

Strengths

• Data includes multiple high-dimensional modalities like single-cell sequencing and spatial transcriptomics
• Longitudinal data tracks a patient's journey from diagnosis through multiple treatments
• Dataset is shared under a permissive CC0-1.0 license

Limitations

• Row count and dataset size are unknown, limiting suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect bias inherent to a single patient case study

Provenance

Source

Rare Cancer Research Foundation

Collection Method

Generated by and for a specific patient's diagnostic and treatment journey

Time Range

Data collection began after November 2022 diagnosis