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Dataset Information

IRSN-23 gene diagnosis enhances breast cancer subtype classification and predicts response to neoadjuvant chemotherapy: new validation analyses.


ABSTRACT:

Background

This study evaluates the reproducibility of the IRSN-23 model, which classifies patients into highly chemotherapy-sensitive (Gp-R) or less-sensitive (Gp-NR) groups based on immune-related gene expression using DNA microarray analysis, and its impact on breast cancer subtype classification.

Methods

Tumor tissues from 146 breast cancer patients receiving neoadjuvant chemotherapy (paclitaxel-FEC) ± trastuzumab at Osaka University Hospital (OUH) were used to classify patients into Gp-R or Gp-NR using IRSN-23. The ability to predict a pathological complete response (pCR) was assessed and the results were validated with independent public datasets (N = 1282).

Results

In the OUH dataset, the pCR rate was significantly higher in the Gp-R group than in the Gp-NR gro

SUBMITTER: Sota Y 

PROVIDER: S-EPMC11993443 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature