Pangenomic classification of pituitary adenomas
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ABSTRACT:
PROVIDER: EGAS00001003642 | EGA |
REPOSITORIES: EGA
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Project description:Growth hormone-secreting pituitary adenomas account for approximately 10% of endocrine pituitary tumors and are pathologically classified into densely granulated adenomas (DGGH) and sparsely granulated adenomas (SGGH). m6A has been reported to play an important role in tumorigenesis and development, but its potential role in the pathogenesis of these two subtypes has not yet been thoroughly investigated. Consequently, we performed MeRIP-seq analysis of pituitary adenomas and the GH3 cell line. We observed that the expression of FTO was significantly increased in SGGH, leading to a reduction in m6A modification and a disruption of desmosome organization.
2024-09-25 | GSE269321 | GEO
Project description:Growth hormone-secreting pituitary adenomas account for approximately 10% of endocrine pituitary tumors and are pathologically classified into densely granulated adenomas (DGGH) and sparsely granulated adenomas (SGGH). m6A has been reported to play an important role in tumorigenesis and development, but its potential role in the pathogenesis of these two subtypes has not yet been thoroughly investigated. Consequently, we performed MeRIP-seq analysis of pituitary adenomas and the GH3 cell line. We observed that the expression of FTO was significantly increased in SGGH, leading to a reduction in m6A modification and a disruption of desmosome organization.
2024-09-25 | GSE269044 | GEO
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.
2022-11-25 | GSE213527 | GEO
Project description:GNAS, a gene encoding G-protein stimulating alpha subunit, is frequently mutated in intraductal papillary mucinous neoplasms (IPMNs), which is an indolent and slow-growing pancreatic neoplasm that secretes abundant mucin. GNAS mutation is not observed in conventional ductal adenocarcinomas of the pancreas. To determine the functional significance of GNAS mutation in pancreatic ductal cells, we examined in vitro phenotypes and gene expression profiles of cells of pancreatic ductal lineage, HPDE, PK-8, PCI-35, and MIA PaCa-2, with exogenous expression of either wild-type or mutated (R201H) GNAS. We found that exogenous GNAS upregulated intracellular cyclic-adenine monophosphate, particularly in the mutated GNAS transfectants. Exogenous GNAS induced no obvious cell-growth promotion, but induced suppression in some cells. The exogenous GNAS upregulated MUC2 and MUC5AC in HPDE and PK-8, and the latter was most sensitive to exogenous GNAS, exhibiting drastic alteration of the global gene expression that is consistent with that of IPMN. Hence, PK-8 expressing exogenous mutated GNAS may be an ideal in vitro model of IPMN. On the other hand, exogenous GNAS downregulated expression of mucin genes and produced modest alteration of gene expression profiles in PCI-35 and MIA PaCa-2, indicating lower sensitivity to exogenous GNAS. Furthermore, we showed diverse and cell-type specific mucin expression pathways with complicated interactions between signaling pathways of the G-protein coupled receptor (GPCR), the mitogen-activated protein kinase (MAPK), and the phosphatidylinositol 3 kinase (PI3K), in which the GPCR pathway appeared to be dominant in some and the MAPK pathway in others. In conclusion, mutated GNAS found in IPMNs may extensively alter gene expression profiles, including expression of mucin genes, with the interaction with MAPK and PI3K pathways in pancreatic ductal-lineage cells, which may determine the characteristic phenotype of the neoplasm. Cells of pancreatic cancer cell lines, PK-8, PCI-35,and MIA PaCa-2, were seeded at 4 M-CM-^W 10^5 cells/well in 6-well plates and incubated for 24 hours at 37M-BM-0C in 5% CO2 with humid atmosphere. Then the cells were transfected with either pcDNA 3.1/V5-His vector or pcDNA3.1-GNAS(R201H)-V5-His vector using Lipofectamine 2000 reagent (Life Technologies) according to the manufacturerM-bM-^@M-^Ys recommendations. The cells were incubated for 24 hours and collected by dissociation using trypsin. Total RNAs were isolated using the RNeasy Mini kit (Qiagen, Hilden, Germany). Serial analysis of gene expression (SAGE) library was constructed using a SOLiD SAGE Kit (Life Technologies) according to the manufactureM-bM-^@M-^Ys instruction. The constructed libraries were analysed by means of the massively parallel sequencing method using SOLiD 4 System (Life Technologies). The SAGE analysis was performed for samples obtained from single transfection experiment.
2014-02-04 | E-GEOD-53350 | biostudies-arrayexpress
Project description:This study investigated differential gene expression between granulation patterns in growth hormone (GH)-secreting pituitary tumors, aiming to elucidate novel transcriptomes that explain clinical variances in patients with acromegaly. Transcriptome analysis was conducted on 6 normal pituitary tissues and 15 GH-secreting pituitary tumors, including 9 densely granulated somatotroph tumors (DGSTs) and 6 sparsely granulated somatotroph tumors (SGSTs). We identified 3111 differentially expressed genes (DEGs) in tumors compared to normal pituitaries, with 1117 DEGs unique to a specific granulation within tumors. SGST showed enrichment of neuronal development and acute inflammatory response pathways, along with a significant enhancement of JAK–STAT, phosphatidylinositol 3-kinase, and MAPK signaling. The results suggest that granulation-specific gene expression may underpin diverse clinical presentations in acromegaly, highlighting the potential for further investigation into these transcriptomic variations and their roles in disease pathology, particularly the involvement of genes linked to neuronal development, inflammatory response, and JAK–STAT signaling in SGST.
2024-04-28 | GSE264621 | GEO
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
Project description:Pituitary neuroendocrine tumors (PitNET)/adenomas are classified according to cell lineage, which requires immunohistochemistry for the transcription factors (TFs) PIT1, SF1, and TPIT. Co-expression of PIT1/SF1 was previously reported in PitNETs, which otherwise correspond to the somatotroph lineage. However, little is known about the clinicopathological features of these tumors. We compiled an in-house case series of 100 tumors, previously diagnosed as densely or sparsely granulated somatotroph PitNETs. Following TF staining, histopathological features associated with PIT1/SF1-coexpression were assessed. Global DNA methylation profiling was conducted on 31 of 100 in-house samples and integrated with publicly available sample data. The majority (74%, 52/70) of our densely granulated somatotroph PitNETs (DGST) unequivocally co-expressed PIT1 and SF1 (DGST-PIT1/SF1). None of our SGST (0%, 0/30) stained positive for SF1 (SGST-PIT1). Integrated molecular analyses including publicly available sample data confirmed that DGST-PIT1/SF1, DGST-PIT1 and SGST-PIT1 represent distinct tumour subtypes. In summary, we spotlight that a substantial proportion of previously diagnosed densely granulated somatotroph PitNET co-express PIT1 and SF1 and exhibit clinical, histopathological, and molecular distinctness from other pure PIT1-lineage somatotroph PitNET.
2024-01-24 | GSE246645 | GEO
Project description:GNAS, a gene encoding G-protein stimulating alpha subunit, is frequently mutated in intraductal papillary mucinous neoplasms (IPMNs), which is an indolent and slow-growing pancreatic neoplasm that secretes abundant mucin. GNAS mutation is not observed in conventional ductal adenocarcinomas of the pancreas. To determine the functional significance of GNAS mutation in pancreatic ductal cells, we examined in vitro phenotypes and gene expression profiles of cells of pancreatic ductal lineage, HPDE, PK-8, PCI-35, and MIA PaCa-2, with exogenous expression of either wild-type or mutated (R201H) GNAS. We found that exogenous GNAS upregulated intracellular cyclic-adenine monophosphate, particularly in the mutated GNAS transfectants. Exogenous GNAS induced no obvious cell-growth promotion, but induced suppression in some cells. The exogenous GNAS upregulated MUC2 and MUC5AC in HPDE and PK-8, and the latter was most sensitive to exogenous GNAS, exhibiting drastic alteration of the global gene expression that is consistent with that of IPMN. Hence, PK-8 expressing exogenous mutated GNAS may be an ideal in vitro model of IPMN. On the other hand, exogenous GNAS downregulated expression of mucin genes and produced modest alteration of gene expression profiles in PCI-35 and MIA PaCa-2, indicating lower sensitivity to exogenous GNAS. Furthermore, we showed diverse and cell-type specific mucin expression pathways with complicated interactions between signaling pathways of the G-protein coupled receptor (GPCR), the mitogen-activated protein kinase (MAPK), and the phosphatidylinositol 3 kinase (PI3K), in which the GPCR pathway appeared to be dominant in some and the MAPK pathway in others. In conclusion, mutated GNAS found in IPMNs may extensively alter gene expression profiles, including expression of mucin genes, with the interaction with MAPK and PI3K pathways in pancreatic ductal-lineage cells, which may determine the characteristic phenotype of the neoplasm.
2014-02-04 | GSE53350 | GEO
Project description:We applied Illumina massively parallel signature sequencing to identify miRNomes in CD11c+Ia high and CD11c+Ia low cells.The miRNomes of these DC subsets will contribute to investigate the significance of miRNAs in DC immunobiology. Examination of miRNome in CD11c+Ia high and CD11c+Ia low cells . All two mouse cell types.
2015-06-16 | E-GEOD-51574 | biostudies-arrayexpress
Project description:Medulloblastoma, the most common malignant pediatric brain tumor, is highly heterogeneous with distinct molecular subtypes and cellular origins. Although current treatments improve survival rates, patients suffer severe treatment-related side effects and often relapse of tumors carrying resistance mutations, underscoring an urgent need for alternative targeted therapies. Currently, the genetic alterations underlying this disease are not fully understood. Here we identify GNAS, encoding the G-protein Gs-alpha, as a potent tumor suppressor gene in medulloblastoma. GNAS specifically defines a subset of aggressive Sonic Hedgehog (Shh)-group medulloblastomas. Gnas loss-of-function in distinct lineage progenitors of the developing hindbrain suffices to initiate medulloblastoma. We find that Gs-alpha is highly enriched at primary cilia of granule neuron precursors and suppresses Shh signaling not only by regulating classic cAMP-dependent pathway but also controlling ciliary trafficking of Smoothened. Concurrent cAMP elevation and Smoothened inhibition robustly arrests tumor cell growth in Gnas mutants. We further reveal oligodendrocyte progenitors as a novel cellular origin for anatomically-distinct Shh-associated medulloblastomas. Together, we identify a previously unrecognized tumor suppressor function of Gs-alpha in medulloblastoma partially mediated through inhibiting Shh signaling, and uncover Gs-alpha as a molecular link across disparate cells of origin among Shh-group medulloblastomas, pointing to G- protein modulation as a potential therapeutic avenue. We isolated genomic DNAs from the cerebellum of adult wildtype mice and tumor tissue from individual GFAP-Gnas or Olig1-Gnas mutants and performed the Copy number variation analysis.
2014-08-24 | E-GEOD-60416 | biostudies-arrayexpress