Data Sheet 2_Clinical predictors of BRCA1/2 P/LP variants for high-risk breast cancer pati

102 BRCA1/2 pathogenic variants were identified in a cohort of 1,204 high-risk breast cancer patients from Zhejiang Cancer Hospital between 2017 and 2021. The dataset underpins a multivariable logistic regression model incorporating histology, molecular subtype, age, and family history. Wei Gu published the model, which achieved an AUC of 0.758, to support clinical decision-making for genetic testing in China.

Use Cases

• Training a binary classification model to predict BRCA1/2 carrier status based on clinical features like histology and family history.
• Benchmarking new predictive algorithms against the reported logistic regression model with an AUC of 0.758.
• Conducting a feature importance analysis on clinical predictors such as triple-negative breast cancer (TNBC) status and age.
• Performing decision curve analysis to evaluate the net clinical benefit of a testing strategy informed by the prediction model.

Strengths

• Dataset is derived from a cohort of 1,204 high-risk patients, described as a large high-risk clinical cohort for mainland China.
• Model performance is quantitatively reported with specific metrics including an AUC of 0.758 and a Brier score of 0.071.
• Internal validation was performed using bootstrap resampling (500 resamples) with a reported calibration error of 0.007.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying clinical data is unknown, which may limit suitability assessment.
• Data reflects a specific geographic and temporal bias, being from a single hospital in eastern China between 2017–2021.

Provenance

Source

Zhejiang Cancer Hospital, eastern China.

Collection Method

Clinical data collection and targeted NGS for BRCA1/2 on blood samples, with variant classification by ClinVar and ACMG-AMP guidelines.

Time Range

2017–2021

Freshness

Last updated 2026-06-02 04:21:28; freshness should be verified.

Geography

Eastern China