DNA Methylation Pattern in Somatotroph Pituitary Neuroendocrine Tumors.

IF 2.8 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM Neuroendocrinology Pub Date : 2024-01-01 Epub Date: 2023-09-12 DOI:10.1159/000533692
Paulina Kober, Julia Rymuza, Szymon Baluszek, Maria Maksymowicz, Aleksandra Nyc, Beata J Mossakowska, Grzegorz Zieliński, Jacek Kunicki, Mateusz Bujko
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Abstract

Introduction: Growth hormone secretion by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is a major cause of acromegaly. These tumors are relatively heterogenous in terms of histopathological and molecular features. Our previous transcriptomic profiling of somatotroph tumors revealed three distinct molecular subtypes. This study aimed to investigate the difference in DNA methylation patterns in subtypes of somatotroph PitNETs and its role in distinctive gene expression.

Methods: Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Gene expression was assessed with RNAseq. Bisulfite pyrosequencing and qRT-PCR were used for verifying the results of DNA methylation and gene expression.

Results: Clustering tumor samples based on methylation data reflected the transcriptome-related classification. Subtype 1 tumors are densely granulated without GNAS mutation, characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation of the gene body and promoter. This subtype has a lower methylation level of 5' gene regions and CpG islands than the remaining tumors. Subtype 2 PitNETs are densely granulated and frequently GNAS-mutated, while those in subtype 3 are mainly sparsely granulated. Methylation/expression analysis indicates that ∼50% genes located in differentially methylated regions are those differentially expressed between tumor subtypes. Correlation analysis revealed DNA methylation-controlled genes, including CDKN1B, CCND2, EBF3, CDH4, CDH12, MGMT, STAT5A, PLXND1, PTPRE, and MMP16, and genes encoding ion channels and semaphorins.

Conclusion: DNA methylation profiling confirmed the existence of three molecular subtypes of somatotroph PitNETs. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated with specific methylation of both genes.

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嗜体细胞垂体神经内分泌肿瘤的 DNA 甲基化模式
简介散发性嗜体细胞神经内分泌垂体瘤(PitNET)分泌生长激素是导致肢端肥大症的主要原因。这些肿瘤在组织病理学和分子特征方面具有相对异质性。我们之前对体细胞瘤进行的转录组学分析发现了三种不同的分子亚型。本研究旨在探讨嗜体细胞瘤亚型中DNA甲基化模式的差异及其在不同基因表达中的作用:方法:利用 EPIC 微阵列对 48 例躯体营养型 PitNET 的全基因组 DNA 甲基化进行了研究。基因表达通过 RNAseq 进行评估。亚硫酸氢盐测序和 qRT-PCR 用于验证 DNA 甲基化和基因表达的结果:结果:根据甲基化数据对肿瘤样本进行的聚类反映了转录组相关的分类。亚型1肿瘤为无GNAS突变的致密肉芽肿,以NR5A1(SF-1)和GIPR的高表达为特征。这两个基因的表达与基因体和启动子的特异性甲基化相关。与其他肿瘤相比,该亚型的 5' 基因区和 CpG 岛的甲基化水平较低。亚型2的PitNET颗粒密集,经常出现GNAS突变,而亚型3的PitNET主要颗粒稀疏。甲基化/表达分析表明,位于不同甲基化区域的基因有50%在肿瘤亚型之间有不同表达。相关性分析揭示了DNA甲基化控制基因,包括CDKN1B、CCND2、EBF3、CDH4、CDH12、MGMT、STAT5A、PLXND1、PTPRE和MMP16,以及编码离子通道和semaphorins的基因:DNA甲基化分析证实了嗜体细胞PitNET存在三种分子亚型。亚型1肿瘤中NR5A1和GIPR的高表达与这两个基因的特异性甲基化有关。
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来源期刊
Neuroendocrinology
Neuroendocrinology 医学-内分泌学与代谢
CiteScore
8.30
自引率
2.40%
发文量
50
审稿时长
6-12 weeks
期刊介绍: ''Neuroendocrinology'' publishes papers reporting original research in basic and clinical neuroendocrinology. The journal explores the complex interactions between neuronal networks and endocrine glands (in some instances also immunecells) in both central and peripheral nervous systems. Original contributions cover all aspects of the field, from molecular and cellular neuroendocrinology, physiology, pharmacology, and the neuroanatomy of neuroendocrine systems to neuroendocrine correlates of behaviour, clinical neuroendocrinology and neuroendocrine cancers. Readers also benefit from reviews by noted experts, which highlight especially active areas of current research, and special focus editions of topical interest.
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