# Development and validation of a nomogram incorporating YpT stage for predicting ypN0 using multicenter data in clinically node-positive breast cancer

**Authors:** Hideo Shigematsu, Shinsuke Sasada, Junji Hashizume, Tatsunari Sasada, Shinji Ozaki, Midori Noma, Tomoyuki Yoshiyama, Goda Noriko, Ayumi Kawamata, Akiko Emi, Yuki Kaneko, Keiko Kajitani, Tomoko Itagaki, Morihito Okada

PMC · DOI: 10.1038/s41598-025-32167-8 · Scientific Reports · 2025-12-10

## TL;DR

This study creates a tool to predict if lymph nodes are cancer-free after chemotherapy in breast cancer patients, using data from multiple centers.

## Contribution

A novel nomogram was developed and validated to predict ypN0 in clinically node-positive breast cancer patients after neoadjuvant chemotherapy.

## Key findings

- The nomogram achieved AUCs of 0.858 in training and 0.855 in validation cohorts.
- PPV exceeded 0.90 when predicted probability was ≥ 0.7 in both cohorts.
- The model incorporated ypT stage, cN stage, hormone receptor status, HER2 status, and post-NAC cN stage.

## Abstract

Recent studies have demonstrated that breast pathological complete response (pCR) can be accurately diagnosed preoperatively using image-guided needle biopsy after neoadjuvant chemotherapy (NAC), underscoring the value of incorporating ypT stage into prediction models for axillary response (ypN0). Based on this evidence, we developed and externally validated a nomogram to predict ypN0 in patients with clinically node-positive (cN+) breast cancer treated with NAC. This retrospective, multicenter study included 609 patients with cN + breast cancer who underwent NAC followed by surgery. A nomogram was developed using a training cohort (n = 330) and validated in an independent cohort (n = 279). Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration plots, decision curve analysis (DCA), and positive predictive value (PPV). The nomogram incorporated five predictors: ypT stage, cN stage, hormone receptor status, HER2 status, and post-NAC cN stage. It showed strong discriminative ability, with bias-corrected AUCs of 0.858 in the training cohort and 0.855 in the validation cohort. Calibration and DCA confirmed good model performance. PPV exceeded 0.90 when the nomogram-predicted probability was ≥ 0.7 in both cohorts. This nomogram demonstrated high diagnostic accuracy for predicting ypN0 and may support the selection of candidates for axillary surgery de-escalation based on post-NAC biopsy findings. Prospective validation using biopsy-confirmed pCR is warranted.

The online version contains supplementary material available at 10.1038/s41598-025-32167-8.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}
- **Diseases:** breast cancer (MESH:D001943), node (MESH:D012804)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12816637/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12816637/full.md

---
Source: https://tomesphere.com/paper/PMC12816637