Moscow Center for Advanced Studies, Kulakova Str. 20, Moscow 123592, Russia.
Moscow Clinical Scientific Center N.A. A.S. Loginov, Moscow 111123, Russia.
Int J Mol Sci. 2024 Oct 14;25(20):11017. doi: 10.3390/ijms252011017.
Pancreatic neuroendocrine tumors (NETs) are rare well-differentiated neoplasms with limited therapeutic options and unknown cells of origin. The current classification of pancreatic neuroendocrine tumors is based on proliferative grading, and guides therapeutic strategies, however, tumors within grades exhibit profound heterogeneity in clinical manifestation and outcome. Manifold studies have highlighted intra-patient differences in tumors at the genetic and transcriptomic levels. Molecular classification might become an alternative or complementary basis for treatment decisions and reflect tumor biology, actionable cellular processes. Here, we provide a comprehensive review of genomic, transcriptomic, proteomic and epigenomic studies of pancreatic NETs to elucidate patterns shared between proposed subtypes that could form a foundation for new classification. We denote four NET subtypes with distinct molecular features, which were consistently reproduced using various omics technologies.
胰腺神经内分泌肿瘤（NETs）是一种罕见的分化良好的肿瘤，治疗方法有限，其起源细胞尚不清楚。目前的胰腺神经内分泌肿瘤分类基于增殖分级，并指导治疗策略，然而，在同一分级内的肿瘤在临床表现和预后方面存在显著的异质性。多项研究强调了肿瘤在遗传和转录组水平上的个体间差异。分子分类可能成为治疗决策的替代或补充依据，并反映肿瘤生物学和可操作的细胞过程。在这里，我们对胰腺 NETs 的基因组、转录组、蛋白质组和表观基因组研究进行了全面综述，以阐明在提出的可能形成新分类基础的亚型之间共享的模式。我们确定了具有不同分子特征的 4 种 NET 亚型，这些亚型使用各种组学技术得到了一致的重现。
