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对原发性散发性肠道神经内分泌肿瘤的转录组分析确定了三种不同的分子亚组。

Transcriptome analysis of primary sporadic neuroendocrine tumours of the intestine identified three different molecular subgroups.

作者信息

Mattiolo Paola, Gkountakos Anastasios, Centonze Giovanni, Bevere Michele, Piccoli Paola, Ammendola Serena, Pedrazzani Corrado, Landoni Luca, Cingarlini Sara, Milella Michele, Milione Massimo, Luchini Claudio, Scarpa Aldo, Simbolo Michele

机构信息

Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy.

Pathology Unit 1, Pathology and Laboratory Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

出版信息

Pathol Res Pract. 2023 Aug;248:154674. doi: 10.1016/j.prp.2023.154674. Epub 2023 Jul 7.

Abstract

BACKGROUND

Intestinal neuroendocrine tumours (I-NETs) represent a non-negligible entity among intestinal neoplasms, with metastatic spreading usually present at the time of diagnosis. In this context, effective molecular actionable targets are still lacking. Through transcriptome analysis, we aim at refining the molecular taxonomy of I-NETs, also providing insights towards the identification of new therapeutic vulnerabilities.

MATERIALS AND METHODS

A retrospective series of 38 primary sporadic, surgically-resected I-NETs were assessed for transcriptome profiling of 20,815 genes.

RESULTS

Transcriptome analysis detected 643 highly expressed genes. Unsupervised hierarchical clustering, differential expression analysis and gene set enriched analysis identified three different tumour clusters (CL): CL-A, CL-B, CL-C. CL-A showed the overexpression of ARGFX, BIRC8, NANOS2, and SSTR4 genes. Its most characterizing signatures were those related to cell-junctions, and activation of mTOR and WNT pathway. CL-A was also enriched in T CD8 + lymphocytes. CL-B showed the overexpression of PCSK1, QPCT, ST18, and TPH1 genes. Its most characterizing signatures were those related to adipogenesis, neuroendocrine metabolism, and splice site machinery-related processes. CL-B was also enriched in T CD4 + lymphocytes. CL-C showed the overexpression of ALB, ANG, ARG1, and HP genes. Its most characterizing signatures were complement/coagulation and xenobiotic metabolism. CL-C was also enriched in M1/2 macrophages. These CL-based differences may have therapeutic implications in refining the management of I-NET patients. At last, we described a specific gene-set for differentiating I-NET from pancreatic NET.

DISCUSSION

Our data represent an additional step for refining the molecular taxonomy of I-NET, identifying novel transcriptome subgroups with different biology and therapeutic opportunities.

摘要

背景

肠道神经内分泌肿瘤(I-NETs)在肠道肿瘤中是一个不可忽视的实体,通常在诊断时就已发生转移扩散。在这种情况下,仍然缺乏有效的分子可操作靶点。通过转录组分析,我们旨在完善I-NETs的分子分类,同时也为识别新的治疗靶点提供见解。

材料与方法

对38例原发性散发性、手术切除的I-NETs进行回顾性研究,评估20,815个基因的转录组谱。

结果

转录组分析检测到643个高表达基因。无监督层次聚类、差异表达分析和基因集富集分析确定了三个不同的肿瘤簇(CL):CL-A、CL-B、CL-C。CL-A显示ARGFX、BIRC8、NANOS2和SSTR4基因的过表达。其最具特征的特征是与细胞连接以及mTOR和WNT通路激活相关的特征。CL-A中也富含CD8 + T淋巴细胞。CL-B显示PCSK1、QPCT、ST18和TPH1基因的过表达。其最具特征的特征是与脂肪生成、神经内分泌代谢以及剪接位点机制相关过程有关的特征。CL-B中也富含CD4 + T淋巴细胞。CL-C显示ALB、ANG、ARG1和HP基因的过表达。其最具特征的特征是补体/凝血和异生物质代谢。CL-C中也富含M1/2巨噬细胞。这些基于CL的差异可能对优化I-NET患者的治疗具有指导意义。最后,我们描述了一个用于区分I-NET和胰腺神经内分泌肿瘤的特定基因集。

讨论

我们的数据是完善I-NET分子分类的又一步,确定了具有不同生物学特性和治疗机会的新转录组亚组。

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