气腔扩散对早期非小细胞肺癌亚肺叶切除影响的研究进展

Research progress on the effect of tumor spread through air spaces in sublobar resection for early-stage non-small cell lung cancer

  • 摘要: 非小细胞肺癌(non-small cell lung cancer, NSCLC)是全球最常见且致命的恶性肿瘤之一,早期NSCLC以手术切除为主要治疗手段。肿瘤经气腔扩散(spread through air spaces, STAS)是一种肿瘤向肺部气腔扩散的新型传播模式,其与亚肺叶切除术后的发生、复发和远处转移密切相关,使其成为手术方式选择和预后评估中至关重要的考虑因素。STAS阳性患者的术后复发率显著高于STAS阴性患者,其分子机制涉及肿瘤微环境的重塑、特异性基因突变及上皮-间质转化等过程。包括计算机断层扫描(CT)和正电子发射断层扫描/CT 在内的影像技术已显示出术前预测 STAS 的潜力,但其准确性和可操作性仍有待提升。本文综述了STAS的定义、病理特征及相关机制,重点探讨STAS阳性患者的手术方式选择及其在早期NSCLC亚肺叶切除术后癌症复发中的作用,并提出未来研究方向,包括优化STAS的术前诊断方法、探索分子靶向治疗以及建立基于影像学的精准预测模型。

     

    Abstract: Non-small cell lung cancer (NSCLC) is one of the most common and deadly malignant tumors worldwide, with surgical resection being the primary treatment for early-stage NSCLC. Tumor spread through air spaces (STAS) is a novel pattern of tumor dissemination into the air spaces in the lung. Its occurrence after sublobar resection is closely associated with recurrence and distant metastasis, making its consideration a vital factor in surgical strategy selection and prognostic evaluation. Patients with STAS-positive status exhibit significantly higher postoperative recurrence rates than do STAS-negative patients, with molecular mechanisms involving tumor microenvironment remodeling, specific genetic mutations, and epithelial-mesenchymal transition (EMT). Imaging techniques including computed tomography (CT) and positron emission tomography/CT have shown potential for preoperative STAS prediction, although their accuracy and practicality require improvement. This paper reviews the definition, pathological characteristics, and related mechanisms of STAS, with a focus on surgical approach selection for STAS-positive patients and its role in cancer recurrence after sublobar resection of early-stage NSCLC. Future research directions include optimization of preoperative diagnostic methods for STAS, exploration of molecular targeted therapies, and development of imaging-based precision prediction models.

     

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