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高级胃肠胰神经内分泌肿瘤的全面基因组和转录组特征分析。

Comprehensive genomic and transcriptomic characterization of high-grade gastro-entero-pancreatic neoplasms.

机构信息

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.

出版信息

Br J Cancer. 2024 Jul;131(1):159-170. doi: 10.1038/s41416-024-02705-8. Epub 2024 May 10.

Abstract

BACKGROUND

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).

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

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)。

方法

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。

结果

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5653/11231306/3df23217f2a8/41416_2024_2705_Fig1_HTML.jpg

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