SPDL1 Expression and PET/CT Metabolic Parameters in Esophageal Cancer

Hua-Song Liu's dataset contains clinical and molecular data from 53 esophageal cancer patients who underwent 18F-FDG PET/CT scans before therapy. The data was last updated on 2026-05-20 and investigates the association of SPDL1 gene expression with metabolic parameters, patient prognosis, and cancer progression. The dataset is licensed under CC-BY-4.0 and is hosted on figshare.

Use Cases

• Predicting patient prognosis based on SPDL1 expression levels and clinical features mentioned in the description
• Correlating gene expression signatures with PET/CT metabolic parameters like SUVmax and TLG
• Identifying hub genes in cell cycle and DNA replication pathways via constructed protein-protein interaction networks
• Investigating associations between SPDL1 expression and clinical factors like cancer stage, lymph node metastasis, and TP53 mutation

Strengths

• Includes data from 53 esophageal cancer patients with pre-therapy PET/CT scans
• Links molecular data (SPDL1 expression) with clinical parameters, imaging metrics, and patient outcomes
• Integrates findings from multiple databases and original tissue samples

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect bias inherent to the specific cohort of 53 patients studied

Provenance

Source

figshare

Collection Method

Data integrated from multiple databases and original tissue samples from 53 patients.

Freshness

Last updated 2026-05-20 07:52:31