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Exome sequencing of DNA from pituitary neuroendocrine tumor (PitNET) and germline DNA from the same patient

ABSTRACT: The goal of the project is to study tumor - normal DNA pairs from the PitNET patients. Total of 15 PitNET patients were recruited for the study to investigate sometic changes in the tumor compared to normal tissue. Illumina technology were used for sequencing and two data analysis pipelines employed for data analysis. Recurrent somatic variations were investigated and genomic disruption analysis from exome sequencing data attempted.

PROVIDER: EGAS00001004654 | EGA |

REPOSITORIES: EGA

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DNA methylation pattern in somatotroph pituitary neuroendocrine tumors

Project description:Secretion of growth hormone by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is the most common cause of acromegaly.Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Three subtypes of the tumors were identified. Subtype 1 tumors are densely granulated tumors without GNAS mutation characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation pattern at gene body and promoter methylation. Subtype 1 has generally lower methylation level at 5’ gene regulatory regions and CpG islands as compared to other tumor clusters. Subtype 2 are densely granulated PiNETs with common GNAS-mutations while Subtype 3 are mainly sparsely granulated tumors. Methylation/expression analysis indicate that the levels of ~50% genes differentially expressed genes between tumor subtypes that are located at in differentially methylated regions are DNA methylation dependent. These DNA methylation-controlled genes include CDKN1B, CCND2, EBF3, CDH4, CDH12 MGMT, STAT5A, PLXND1, PTPRE and MMP16 as wells as genes encoding ion channels and semaphorins. Results of DNA methylation profiling confirms three molecular subtypes of somatotroph PitNETs that differ in both gene expression and methylation pattern. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated to specific methylation at both genes.

2023-09-25 | GSE226764 | GEO

Proteomic profiling of corticotroph pituitary neuroendocrine tumors

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Project description:Corticotroph pituitary neuroendocrine tumors (PitNETs) are heterogeneous sellar neoplasms with variable clinical manifestations and growth behaviour. In this study, epigenomic data was generated as part of an integrative meta-analysis of corticotroph PitNETs, which included epigenomic, transcriptomic, and proteomic investigations. This deposit comprises idat files of tumor samples and adenohypophysial non-neoplastic control samples. These data were integrated with previously published external molecular datasets. The combined analyses defined four clinically relevant molecular subgroups of corticotroph PitNETs.

2026-07-03 | E-MTAB-16589 | biostudies-arrayexpress

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Project description: Not available

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Proteogenomic Landscape and Clinical Characterization of GH-producing pituitary adenomas/ somatotroph pituitary neuroendocrine tumors

Project description:The clinical characteristics of growth hormone (GH)-producing pituitary adenomas vary across patients. In this study, we aimed to integrate the genetic alterations, protein expression profiles, transcriptomes, and clinical characteristics of GH-producing pituitary adenomas to detect molecules associated with acromegaly characteristics. Targeted capture sequencing and copy number analysis of 36 genes and non-targeted proteomics analysis were performed on fresh-frozen samples from 121 sporadic GH-producing pituitary adenomas. Targeted capture sequencing revealed GNAS as the only driver gene, as previously reported. Classification by consensus clustering using both RNA sequencing and proteomics revealed many similarities between the proteome and the transcriptome. Gene ontology analysis was performed for differentially expressed proteins between wild-type and mutant GNAS samples identified by non-targeted proteomics analysis and involved in G protein–coupled receptor (GPCR) pathways. The results suggested that GNAS mutations impact endocrinological features in acromegaly through GPCR pathway induction. ATP2A2 and ARID5B correlated with the GH change rate in the octreotide loading test, and WWC3, SERINC1, and ZFAND3 correlated with the tumor volume change rate after somatostatin analog treatment. These results identified a biological connection between GNAS mutations and the clinical and biochemical characteristics of acromegaly, revealing novel molecules associated with acromegaly that may affect medical treatment efficacy.

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Project description: Not available

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Methylome analysis in pituitary neuroendocrine tumors

Project description:Methylome analysis in pituitary neuroendocrine tumors

| PRJEB50807 | ENA

Integrated Proteogenomic Characterization across Major Histological Types of Pituitary Neuroendocrine Tumors

Project description:Pituitary neuroendocrine tumor (PitNET) is one of the most common intracranial tumors. Due to its extensive tumor heterogeneity and the lack of high-quality tissues for biomarker discovery, the causative molecular mechanisms are far from being fully defined. Therefore, more studies are needed to improve the current clinicopathological classification system, and advanced treatment strategies such as targeted therapy and immunotherapy are yet to be explored. Here, we performed the largest integrative genomics, transcriptomics, proteomics, and phosphoproteomics analysis reported to date for a cohort of 200 PitNET patients. Genomics data indicate that GNAS copy number gain can serve as a reliable diagnostic marker for hyperproliferation of the PIT1 lineage. Proteomics-based classification of PitNETs identified 7 clusters, among which, tumors overexpressing epithelial-mesenchymal transition (EMT) markers clustered into a more invasive subgroup. Further analysis identified potential therapeutic targets, including CDK6, TWIST1, EGFR, and VEGFR2, for different clusters. Immune subtyping to explore the potential for application of immunotherapy in PitNET identified an association between alterations in the JAK1-STAT1-PDL1 axis and immune exhaustion, and between changes in the JAK3-STAT6-FOS/JUN axis and immune infiltration. These identified molecular markers and alternations in various clusters/subtypes were further confirmed in an independent cohort of 750 PitNET patients. This proteogenomic analysis across traditional histological boundaries improves our current understanding of PitNET pathophysiology and suggests novel therapeutic targets and strategies.

2022-10-17 | PXD031467 |

Genetic disruption of Ctcf destabilizes DNA methylation

Project description:Ctcf heterozygous knockout mice are susceptible to neoplasia in a broad range of tissues, including lymphoma, endometrial cancer, and non-small cell lung cancer. Retention of the wild type Ctcf allele in these tumors establishes CTCF as a haploinsufficient tumor suppressor gene. Both human tumors and normal murine tissues with CTCF disruption are characterized by genome-wide differences in DNA methylation relative to CTCF wild type tissues, indicating even modest disruption of CTCF broadly destabilizes DNA methylation in vivo. This cross species functional analysis identifies CTCF as a commonly mutated tumor suppressor gene and establishes a central role for DNA methylation stability in tumor suppression. RRBS sequencing of transgenic Ctcf heterozygous mice and wild-type litter mate whole lung tissue.

2014-07-30 | E-GEOD-48975 | biostudies-arrayexpress

Transcriptomic Profiling of Lactotroph Pituitary Neuroendocrine Tumors via RNA Sequencing and Ingenuity Pathway Analysis

Project description:Background: Lactotroph pituitary neuroendocrine tumors (PitNETs) are common pituitary tumors, but their underlying molecular mechanisms remain unclear. This study aimed to investigate the transcriptomic landscape of lactotroph PitNETs and identify potential molecular mechanisms and therapeutic targets through RNA sequencing and ingenuity pathway analysis (IPA). Methods: Lactotroph PitNET tissues from five surgical cases without dopamine agonist treatment underwent RNA sequencing. Normal pituitary tissues from three patients served as controls. Differentially expressed genes (DEGs) were identified, and the functional pathways and gene networks were explored by IPA. Results: Transcriptome analysis revealed that lactotroph PitNETs had gene expression patterns that were distinct from normal pituitary tissues. We identified 1,172 upregulated DEGs, including nine long intergenic noncoding RNAs (lincRNAs) belonging to the top 30 DEGs. IPA of the upregulated DEGs showed that the estrogen receptor signaling, oxidative phosphorylation signaling, and EIF signaling were activated. In gene network analysis, key upstream regulators, such as EGR1, PRKACA, PITX2, CREB1, and JUND, may play critical roles in lactotroph PitNETs.

2024-04-26 | GSE240781 | GEO

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