Nomograms for Early-Stage Triple-Negative Breast Cancer Prognosis from SEER Database

14,389 patient records from the SEER database were used to construct nomograms predicting survival for early-stage triple-negative breast cancer. The study, authored by Yaxue Wang, developed and validated the models using a separate cohort of 1,146 patients from Sun Yat-sen University Cancer Center. The data was last updated on 2026-04-11.

Use Cases

• Validating prognostic models for triple-negative breast cancer based on the described patient cohort and survival outcomes.
• Assessing the performance of nomograms for disease-free survival prediction based on the reported C-index of 0.884.
• Comparing model calibration for overall survival prediction based on the validation C-index of 0.741.
• Investigating the impact of age and other identified prognostic factors on cancer survival based on the Cox regression results.

Strengths

• Modeling group includes 14,389 patient records from the SEER database.
• Validation performed on an independent cohort of 1,146 patients.
• Reported high C-indices for disease-free survival (0.884) and overall survival (0.873) in the modeling group.
• Specific prognostic factors, including age and seven others, were identified and incorporated.

Limitations

• The primary data format is PNG images (nomograms), limiting direct computational analysis of the underlying patient data.
• Row count and column-level documentation for the original patient data are unknown.
• The description notes the observational nature of the data and cautions against over-interpreting treatment-related associations.

Provenance

Source

SEER database and Sun Yat-sen University Cancer Center.

Collection Method

Patient records were selected based on screening criteria for early-stage TNBC; prognostic factors identified via Cox regression.

Freshness

Last updated 2026-04-11 15:13:19.

Geography

Data likely reflects the geographic coverage of the SEER database and a center in China.