Literature DB >> 33472171

Functional characterization of DLK1/MEG3 locus on chromosome 14q32.2 reveals the differentiation of pituitary neuroendocrine tumors.

Yiyuan Chen1, Hua Gao1, Qian Liu1, Weiyan Xie1, Bin Li1, Sen Cheng1, Jing Guo1, Qiuyue Fang1, Haibo Zhu2, Zhuang Wang3, Jichao Wang4, Chuzhong Li1,2,5,6, Yazhuo Zhang1,2,5,6.   

Abstract

Pituitary neuroendocrine tumors (PitNETs) represent the neoplastic proliferation of the anterior pituitary gland. Transcription factors play a key role in the differentiation of PitNETs. However, for a substantial proportion of PitNETs, the etiology is poorly understood. According to the transcription data of 172 patients, we found the imprinting disorders of the 14q32.2 region and DLK1/MEG3 locus associated with the differentiation of PitNETs. DLK1/MEG3 locus promoted somatotroph differentiation and inhibited tumor proliferation in PIT1(+) patients, furthermore, the level of DLK1 played a critical role in the trend of somatotroph or lactotroph differentiation. Anti-DLK1 monoclonal antibody blockade or siMEG3 both indicated that the DLK1/MEG3 significantly promoted the synthesis and secretion of GH/IGF-1 and inhibited cell proliferation. In addition, loss of DLK1 activated the mTOR signaling pathway in high DLK1-expressing and PIT1(+) GH3 cell lines, a mild effect in the low DLK1-expressing and PIT1(+) MMQ cell lines and no effect in the PIT1(-) ATT20 cell line. These findings emphasize that expression at the DLK1/MEG3 locus plays a key role in the differentiation of PitNETs, especially somatotroph adenomas, and provide potential molecular target data for patient stratification and treatment in the future.

Entities:  

Keywords:  DLK1/MEG3 locus; differentiation; growth hormone secreting; pituitary neuroendocrine tumors; somatotroph adenomas

Mesh:

Substances:

Year:  2020        PMID: 33472171      PMCID: PMC7835058          DOI: 10.18632/aging.202376

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  45 in total

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Journal:  Endocr Pract       Date:  2019-01-18       Impact factor: 3.443

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Authors:  Gautam U Mehta; Russell R Lonser
Journal:  Neuro Oncol       Date:  2017-06-01       Impact factor: 12.300

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Journal:  J Neuroendocrinol       Date:  2013-04       Impact factor: 3.627

5.  pROC: an open-source package for R and S+ to analyze and compare ROC curves.

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Journal:  BMC Bioinformatics       Date:  2011-03-17       Impact factor: 3.307

6.  Postnatal loss of Dlk1 imprinting in stem cells and niche astrocytes regulates neurogenesis.

Authors:  Sacri R Ferrón; Marika Charalambous; Elizabeth Radford; Kirsten McEwen; Hendrik Wildner; Eleanor Hind; Jose Manuel Morante-Redolat; Jorge Laborda; Francois Guillemot; Steven R Bauer; Isabel Fariñas; Anne C Ferguson-Smith
Journal:  Nature       Date:  2011-07-20       Impact factor: 49.962

7.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

Review 8.  Histopathological classification of non-functioning pituitary neuroendocrine tumors.

Authors:  Emilija Manojlovic-Gacic; Britt Edén Engström; Olivera Casar-Borota
Journal:  Pituitary       Date:  2018-04       Impact factor: 4.107

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Authors:  Blake M Hauser; Ashley Lau; Saksham Gupta; Wenya Linda Bi; Ian F Dunn
Journal:  Front Endocrinol (Lausanne)       Date:  2019-05-14       Impact factor: 5.555

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Authors:  Zhi-Jian Song; Zachary J Reitman; Zeng-Yi Ma; Jian-Hua Chen; Qi-Lin Zhang; Xue-Fei Shou; Chuan-Xin Huang; Yong-Fei Wang; Shi-Qi Li; Ying Mao; Liang-Fu Zhou; Bao-Feng Lian; Hai Yan; Yong-Yong Shi; Yao Zhao
Journal:  Cell Res       Date:  2016-09-27       Impact factor: 25.617

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