Breast Cancer Prognostic Factors Based on Adipose Tissue Glucose Metabolism

74 patient records with body composition and clinicopathological data were analyzed to explore the correlation between subcutaneous adipose tissue metabolic activity and breast cancer prognosis. The study, authored by Jinci Mai and last updated in March 2026, found that AJCC stage and SUVmean_SAT were significant independent prognostic factors. A combined model incorporating both factors showed improved predictive performance over a model using AJCC stage alone.

Use Cases

• Predicting breast cancer recurrence risk based on AJCC stage and adipose tissue metabolic activity.
• Building Cox proportional hazards models for progression-free survival using clinical and imaging-derived variables.
• Assessing the confounding effects of metabolic activity on established clinical staging systems.
• Comparing the predictive performance of combined prognostic models against single-factor models.

Strengths

• Data from 74 patients with breast cancer, with 25 experiencing recurrence during follow-up.
• Analysis includes established clinical factors (AJCC stage) and a novel imaging biomarker (SUVmean_SAT).
• Model performance was quantitatively assessed using time-dependent AUC and net reclassification index.

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 temporal or source bias inherent to the single-study origin.

Provenance

Source

figshare, authored by Jinci Mai.

Collection Method

Body composition parameters and clinicopathological data were collected from patients.

Time Range

Median follow-up of 18 months is reported for the study cohort.

Freshness

Last updated 2026-03 17 13:06:27; freshness should be verified.

Geography

Spatial coverage is not specified in the provided metadata.