Table 1_Distribution and molecular drivers of the 21-gene recurrence score in early breast

A study of 4,754 patients from the Shanghai Jiao Tong University Breast Cancer Database (2009-2022) evaluates the 21-gene recurrence score distribution across low, intermediate, and high estrogen receptor expression groups. The dataset includes recurrence scores, gene module expression profiles, and patient subgroup analyses. It was authored by Shuai Li and last updated in April 2026.

Use Cases

• Analyzing the correlation between estrogen receptor expression levels and 21-gene recurrence score based on the study's findings.
• Investigating the molecular drivers of recurrence scores, such as the proliferation and ER gene modules, as described in the variance decomposition results.
• Comparing recurrence score distributions across patient subgroups defined by age, clinical risk, and progesterone receptor status as detailed in the results.

Strengths

• Includes data from 4,754 patients, providing a substantial sample size for analysis.
• Contains specific statistical results, such as mean recurrence scores of 39, 32, and 24 for the three ER expression groups.
• Provides detailed variance decomposition results showing the contribution of gene modules to recurrence score variance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the single-institution source (Shanghai Jiao Tong University).

Provenance

Source

Shanghai Jiao Tong University Breast Cancer Database

Collection Method

Clinical records from patients with 21-gene testing results, analyzed using chi-square, Kruskal-Wallis tests, Spearman correlation, and linear variance decomposition.

Time Range

2009-2022

Freshness

Last updated 2026-04-30 05:39:54; freshness should be verified.

Geography

Likely Shanghai, China, based on the source database.