RGH@TK-FA: Experimental Data for a Glucose-Powered Nanoplatform in Cancer Therapy

Peng Wang published a dataset on figshare in April 2026 detailing a nanoplatform for multimodal cancer therapy. The dataset, 338 bytes in size, likely contains experimental parameters or results related to the self-amplifying therapeutic cycle described. It is licensed under CC-BY-NC-4.0.

Use Cases

• Modeling the self-amplifying ROS cascade based on the described glucose oxidase and hemoglobin feedback loop.
• Analyzing multimodal therapy efficacy based on the combination of sonodynamic, chemodynamic, and immunotherapy features mentioned.
• Simulating tumor microenvironment (TME) acidification and hypoxia reversal based on the described glucose and oxygen consumption processes.

Strengths

• Dataset is licensed under CC-BY-NC-4.0, allowing non-commercial reuse with attribution.
• Last updated date is explicitly provided: 2026-04-14 14:33:25.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is extremely small at 338.0 B, indicating very limited scope.

Provenance

Source

Peng Wang via figshare.

Collection Method

Likely contains experimental or simulation data from the described nanoplatform research.

Time Range

Publication date is 2026-04-14.

Freshness

Last updated 2026-04-14 14:33:25.

Geography

Spatial coverage is not specified.