# Radiotherapy improves survival in HER2-positive breast cancer with lung metastases: a retrospective study with artificial intelligence-based prognostic modeling

**Authors:** Tengfei Ren, Xiangkun Wang, Shengyuan Luo, Shanbao Ke

PMC · DOI: 10.3389/fonc.2025.1633448 · Frontiers in Oncology · 2025-07-16

## TL;DR

Radiotherapy improves survival for HER2-positive breast cancer patients with lung metastases, and AI modeling helps predict outcomes.

## Contribution

Demonstrates radiotherapy's survival benefit and introduces an AI-based prognostic model for personalized treatment decisions.

## Key findings

- Radiotherapy significantly improved median overall survival in HER2-positive breast cancer patients with lung metastases.
- The AI-based LASSO-Cox model showed good discrimination and clinical utility for survival prediction.

## Abstract

Human epidermal growth factor receptor 2 (HER2)-positive breast cancer is an aggressive subtype with a high risk of distant metastasis, particularly to the lungs. While systemic therapies have improved outcomes, the role of radiotherapy (RT) in the management of lung metastases remains uncertain.

This retrospective study analyzed 248 HER2-positive breast cancer patients with lung metastases treated at two institutions between 2006 and 2021. Propensity score matching (PSM) was used to balance baseline characteristics between the RT and non-RT groups. Overall survival (OS) was assessed using Kaplan–Meier curves and Cox regression. A least absolute shrinkage and selection operator (LASSO)-Cox model was developed to identify prognostic factors, and its performance was evaluated using risk score visualization, receiver operating characteristic (ROC) analysis, and decision curve analysis (DCA).

RT significantly improved median OS both before (50.4 vs. 34.0 months, p < 0.001) and after PSM (51.5 vs. 32.3 months, p < 0.001). LASSO-Cox analysis confirmed RT as an independent prognostic factor. The predictive model demonstrated good discrimination (1- and 3-year AUCs of 0.716 and 0.722, respectively) and clinical utility by DCA.

RT offers a significant survival benefit in HER2-positive breast cancer patients with lung metastases. AI-based modeling enhances prognostic accuracy and supports personalized treatment decisions.

## Linked entities

- **Genes:** ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064]
- **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:** lung metastases (MESH:D009362), breast cancer (MESH:D001943)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12307436/full.md

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Source: https://tomesphere.com/paper/PMC12307436