Vocino Trucco Giulia, Righi Luisella, Volante Marco, Papotti Mauro
Department of Medical Sciences, University of Turin, Turin, Italy.
Department of Oncology, University of Turin, Turin, Italy.
Histopathology. 2024 Jan;84(1):67-85. doi: 10.1111/his.15058. Epub 2023 Oct 4.
Lung neuroendocrine neoplasms (NENs) are a heterogeneous group of pulmonary neoplasms showing different morphological patterns and clinical and biological characteristics. The World Health Organisation (WHO) classification of lung NENs has been recently updated as part of the broader attempt to uniform the classification of NENs. This much-needed update has come at a time when insights from seminal molecular characterisation studies revolutionised our understanding of the biological and pathological architecture of lung NENs, paving the way for the development of novel diagnostic techniques, prognostic factors and therapeutic approaches. In this challenging and rapidly evolving landscape, the relevance of the 2021 WHO classification has been recently questioned, particularly in terms of its morphology-orientated approach and its prognostic implications. Here, we provide a state-of-the-art review on the contemporary understanding of pulmonary NEN morphology and the potential contribution of artificial intelligence, the advances in NEN molecular profiling with their impact on the classification system and, finally, the key current and upcoming prognostic factors.
肺神经内分泌肿瘤(NENs)是一组异质性的肺部肿瘤,呈现出不同的形态模式以及临床和生物学特征。世界卫生组织(WHO)对肺NENs的分类最近进行了更新,这是统一NENs分类的更广泛努力的一部分。这一亟需的更新恰逢其时,因为开创性分子特征研究的见解彻底改变了我们对肺NENs生物学和病理学结构的理解,为新型诊断技术、预后因素和治疗方法的发展铺平了道路。在这一充满挑战且快速发展的形势下,2021年WHO分类的相关性最近受到了质疑,尤其是在其以形态学为导向的方法及其预后意义方面。在此,我们提供一篇关于肺NENs形态学的当代理解以及人工智能的潜在贡献、NEN分子谱分析进展及其对分类系统的影响,最后是当前和即将出现的关键预后因素的最新综述。