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Chinese Journal of Thoracic Surgery(Electronic Edition) ›› 2026, Vol. 13 ›› Issue (02): 132-139. doi: 10.3877/cma.j.issn.2095-8773.2026.02.06

• Review • Previous Articles    

Research progress in prognostic heterogeneity and treatment strategies for stage ⅠA3 non-small cell lung cancer

Shaobin Yu1,2,3, Mingqiang Kang1,2,3,()   

  1. 1Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
    2Key Laboratory of Gastrointestinal Cancer, Ministry of Education, School of Basic Medical Science, Fujian Medical University, Fuzhou 350122, China
    3Key Laboratory of Cardio-Thoracic Surgery, Fujian Medical University, Fuzhou 350001, China
  • Received:2025-11-24 Revised:2026-01-05 Accepted:2026-02-28 Online:2026-05-28 Published:2026-06-22
  • Contact: Mingqiang Kang

Abstract:

Stage ⅠA3 non-small cell lung cancer (NSCLC) represents a high-risk subgroup within early-stage lung cancer, characterized by significant prognostic heterogeneity and ongoing controversies in treatment strategies. This review systematically summarizes the prognostic features and driving factors of stage ⅠA3 NSCLC, with a focus on high-risk pathological markers such as spread through air spaces (STAS), lymphovascular invasion (LVI), and tumor-stroma ratio (TSR), and their roles in prognostic stratification. We further analyze their clinical implications in surgical extent selection and adjuvant therapy decision-making. By integrating advanced technologies such as radiomics and artificial intelligence, we discuss recent advances in preoperative prediction and postoperative personalized adjuvant therapy. We propose a precision treatment strategy based on multimodal risk models, aiming to provide evidence-based guidance for clinical practice and facilitate the transition from anatomic staging to biology-driven individualized management for stage IA3 NSCLC.

Key words: Non-small cell lung cancer, Stage ⅠA3, Prognosis, Artificial intelligence, Individualized treatment

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