Literature DB >> 23045325

Quantitative, genome-wide analysis of the DNA methylome in sporadic pituitary adenomas.

Cuong V Duong1, Richard D Emes, Frank Wessely, Kiren Yacqub-Usman, Richard N Clayton, William E Farrell.   

Abstract

DNA methylation is one of the several epigenetic modifications that together with genetic aberrations are hallmarks of tumorigenesis including those emanating from the pituitary gland. In this study, we examined DNA methylation across 27 578 CpG sites spanning more than 14 000 genes in the major pituitary adenoma subtypes. Genome-wide changes were first determined in a discovery cohort comprising non-functioning (NF), growth hormone (GH), prolactin (PRL)-secreting and corticotroph (CT) adenoma relative to post-mortem pituitaries. Using stringent cut-off criteria, we validated increased methylation by pyrosequencing in 12 of 16 (75%) genes. Overall, these criteria identified 40 genes in NF, 21 in GH, six in PRL and two in CT that were differentially methylated relative to controls. In a larger independent cohort of adenomas, for genes in which hypermethylation had been validated, different frequencies of hypermethylation were apparent, where the KIAA1822 (HHIPL1) and TFAP2E genes were hypermethylated in 12 of 13 NF adenomas whereas the COL1A2 gene showed an increase in two of 13 adenomas. For genes showing differential methylation across and between adenoma subtypes, pyrosequencing confirmed these findings. In three of 12 genes investigated, an inverse relationship between methylation and transcript expression was observed where increased methylation of EML2, RHOD and HOXB1 is associated with significantly reduced transcript expression. This study provides the first genome-wide survey of adenoma, subtype-specific epigenomic changes and will prove useful for identification of biomarkers that perhaps predict or characterise growth patterns. The functional characterisation of identified genes will also provide insight of tumour aetiology and identification of new therapeutic targets.

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Year:  2012        PMID: 23045325     DOI: 10.1530/ERC-12-0251

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  26 in total

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Authors:  Enping Xu; Jian Gu; Ernest T Hawk; Kenneth K Wang; Maode Lai; Maosheng Huang; Jaffer Ajani; Xifeng Wu
Journal:  Carcinogenesis       Date:  2013-08-29       Impact factor: 4.944

2.  Differential DNA methylome profiling of nonfunctioning pituitary adenomas suggesting tumour invasion is correlated with cell adhesion.

Authors:  Ye Gu; Xinyao Zhou; Fan Hu; Yong Yu; Tao Xie; Yuying Huang; Xinzhi Zhao; Xiaobiao Zhang
Journal:  J Neurooncol       Date:  2016-05-11       Impact factor: 4.130

3.  Quantitative genome-wide methylation analysis of high-grade non-muscle invasive bladder cancer.

Authors:  Mark O Kitchen; Richard T Bryan; Richard D Emes; John R Glossop; Christopher Luscombe; K K Cheng; Maurice P Zeegers; Nicholas D James; Adam J Devall; Charles A Mein; Lyndon Gommersall; Anthony A Fryer; William E Farrell
Journal:  Epigenetics       Date:  2016-03-01       Impact factor: 4.528

4.  Genome-wide DNA methylation profiling in rheumatoid arthritis identifies disease-associated methylation changes that are distinct to individual T- and B-lymphocyte populations.

Authors:  John R Glossop; Richard D Emes; Nicola B Nixon; Kim E Haworth; Jon C Packham; Peter T Dawes; Anthony A Fryer; Derek L Mattey; William E Farrell
Journal:  Epigenetics       Date:  2014-07-07       Impact factor: 4.528

5.  A pilot genome-scale profiling of DNA methylation in sporadic pituitary macroadenomas: association with tumor invasion and histopathological subtype.

Authors:  Chao Ling; Matthew Pease; Lingling Shi; Vasu Punj; Mark S Shiroishi; Deborah Commins; Daniel J Weisenberger; Kai Wang; Gabriel Zada
Journal:  PLoS One       Date:  2014-04-29       Impact factor: 3.240

6.  Epidrug mediated re-expression of miRNA targeting the HMGA transcripts in pituitary cells.

Authors:  Mark O Kitchen; Kiren Yacqub-Usman; Richard D Emes; Alan Richardson; Richard N Clayton; William E Farrell
Journal:  Pituitary       Date:  2015-10       Impact factor: 4.107

7.  DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features.

Authors:  Maritza S Mosella; Thais S Sabedot; Tiago C Silva; Tathiane M Malta; Felipe Segato Dezem; Karam P Asmaro; Michael Wells; Abir Mukherjee; Laila M Poisson; James Snyder; Ana C deCarvalho; Tobias Walbert; Todd Aho; Steven Kalkanis; Paula C Elias; Sonir R Antonini; Jack Rock; Houtan Noushmehr; Margaret Castro; Ana Valeria Castro
Journal:  Neuro Oncol       Date:  2021-08-02       Impact factor: 12.300

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Review 9.  Muti-omics integration analysis revealed molecular network alterations in human nonfunctional pituitary neuroendocrine tumors in the framework of 3P medicine.

Authors:  Siqi Wen; Chunling Li; Xianquan Zhan
Journal:  EPMA J       Date:  2022-02-17       Impact factor: 6.543

10.  Whole-exome sequencing studies of nonfunctioning pituitary adenomas.

Authors:  Paul J Newey; M Andrew Nesbit; Andrew J Rimmer; Rosie A Head; Caroline M Gorvin; Moustafa Attar; Lorna Gregory; John A H Wass; David Buck; Niki Karavitaki; Ashley B Grossman; Gilean McVean; Olaf Ansorge; Rajesh V Thakker
Journal:  J Clin Endocrinol Metab       Date:  2013-02-28       Impact factor: 5.958

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