Toàn Ngô Minh
Gyula Petrányi Doctoral School of Clinical Immunology and Allergology, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Medical Imaging Clinic, Clinical Centre, University of Debrecen, H-4032 Debrecen, Hungary.
Medicina (Kaunas). 2024 Dec 21;60(12):2099. doi: 10.3390/medicina60122099.
Breast cancer is a heterogeneous disease characterized by a wide range of biomarker expressions, resulting in varied progression, behavior, and prognosis. While traditional biopsy-based molecular classification is the gold standard, it is invasive and limited in capturing tumor heterogeneity, especially in deep or metastatic lesions. Molecular imaging, particularly positron emission tomography (PET) imaging, offering a non-invasive alternative, potentially plays a crucial role in the classification and management of breast cancer by providing detailed information about tumor location, heterogeneity, and progression. This narrative review, which focuses on both clinical patients and preclinical studies, explores the latest advancements in PET imaging for breast cancer, emphasizing the development of new tracers targeting hormone receptors such as the estrogen alpha receptor, progesterone receptor, androgen receptor, estrogen beta receptor, as well as the ErbB family of receptors, VEGF/VEGFR, PARP1, PD-L1, and markers for indirectly assessing Ki-67. These innovative radiopharmaceuticals have the potential to guide personalized treatment approaches based on the unique tumor profiles of individual patients. Additionally, they may improve the assessment of treatment efficacy, ultimately leading to better outcomes for those diagnosed with breast cancer.
乳腺癌是一种异质性疾病,其特征是生物标志物表达范围广泛,导致进展、行为和预后各不相同。虽然传统的基于活检的分子分类是金标准,但它具有侵入性,并且在捕获肿瘤异质性方面存在局限性,尤其是在深部或转移性病变中。分子成像,特别是正电子发射断层扫描(PET)成像,提供了一种非侵入性替代方法,通过提供有关肿瘤位置、异质性和进展的详细信息,可能在乳腺癌的分类和管理中发挥关键作用。这篇叙述性综述聚焦于临床患者和临床前研究,探讨了乳腺癌PET成像的最新进展,强调了针对激素受体(如雌激素α受体、孕激素受体、雄激素受体、雌激素β受体)以及ErbB受体家族、VEGF/VEGFR、PARP1、PD-L1等新型示踪剂的开发,以及用于间接评估Ki-67的标志物。这些创新的放射性药物有可能根据个体患者独特的肿瘤特征指导个性化治疗方法。此外,它们可能会改善对治疗效果的评估,最终为那些被诊断为乳腺癌的患者带来更好的结果。