Department of Medicine (DIMED), University of Padua, Padua, Italy.
First Pathology Unit, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Br J Cancer. 2024 Jul;131(1):159-170. doi: 10.1038/s41416-024-02705-8. Epub 2024 May 10.
High-grade gastro-entero-pancreatic neoplasms (HG GEP-NENs) can be stratified according to their morphology and Ki-67 values into three prognostic classes: neuroendocrine tumors grade 3 (NETs G3), neuroendocrine carcinomas with Ki-67 < 55% (NECs <55) and NECs with Ki-67 ≥ 55% (NECs ≥55).
We analyzed a cohort of 49 HG GEP-NENs by targeted Next-Generation Sequencing (TrueSight Oncology 500), RNA-seq, and immunohistochemistry for p53, Rb1, SSTR-2A, and PD-L1.
Frequent genomic alterations affected TP53 (26%), APC (20%), KRAS and MEN1 (both 11%) genes. NET G3 were enriched in MEN1 (p = 0.02) mutations, while both NECs groups were enriched in TP53 (p = 0.001), APC (p = 0.002) and KRAS (p = 0.02) mutations and tumors with TMB ≥ 10 muts/Mb (p = 0.01). No differentially expressed (DE) gene was found between NECs <55% and NECs ≥55%, while 1129 DE genes were identified between NET G3 and NECs. A slight enrichment of CD4 and CD8 T cells in NECs and of cancer-associated fibroblasts and macrophages (M2-like) in NET G3. Multivariate analysis identified histologic type and Rb1 loss as independent prognostic factors for overall survival.
This study showed that GEP-NET G3 and GEP-NECs exhibit clear genomic and transcriptomic differences, differently from GEP-NECs <55% and GEP-NECs ≥55%, and provided molecular findings with prognostic and potentially predictive value.
高级胃肠胰腺神经内分泌肿瘤(HG GEP-NENs)可以根据其形态和 Ki-67 值分为三个预后类别:神经内分泌肿瘤 3 级(NETs G3)、Ki-67<55%的神经内分泌癌(NECs <55)和 Ki-67≥55%的神经内分泌癌(NECs ≥55)。
我们通过靶向下一代测序(TrueSight Oncology 500)、RNA-seq 和免疫组织化学分析了 49 例 HG GEP-NEN 病例,检测了 p53、Rb1、SSTR-2A 和 PD-L1。
频繁的基因改变影响了 TP53(26%)、APC(20%)、KRAS 和 MEN1(均为 11%)基因。NET G3 中 MEN1 突变富集(p=0.02),而两组 NEC 均富集 TP53(p=0.001)、APC(p=0.002)和 KRAS(p=0.02)突变以及 TMB≥10 muts/Mb 的肿瘤(p=0.01)。在 NECs <55%和 NECs ≥55%之间未发现差异表达(DE)基因,而在 NET G3 和 NECs 之间则鉴定出 1129 个 DE 基因。NECs 中 CD4 和 CD8 T 细胞略有富集,NET G3 中则有癌症相关成纤维细胞和巨噬细胞(M2 样)富集。多变量分析确定组织学类型和 Rb1 缺失是总生存的独立预后因素。
本研究表明,GEP-NET G3 和 GEP-NECs 表现出明显的基因组和转录组差异,与 GEP-NECs <55%和 GEP-NECs ≥55%不同,并提供了具有预后和潜在预测价值的分子发现。