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Functional characterization of DLK1/MEG3 locus on chromosome 14q32.2 reveals the differentiation of pituitary neuroendocrine tumors
Author(s) -
Yiyuan Chen,
Hua Gao,
Qian Liu,
Weiyan Xie,
Bin Li,
Sen Cheng,
Jing Guo,
Qiuyue Fang,
Haibo Zhu,
Zhuang Wang,
Jichao Wang,
Chuzhong Li,
Yazhuo Zhang
Publication year - 2020
Publication title -
aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 90
ISSN - 1945-4589
DOI - 10.18632/aging.202376
Subject(s) - meg3 , pituitary adenoma , neuroendocrine differentiation , cancer research , somatotropic cell , cell growth , pi3k/akt/mtor pathway , biology , cellular differentiation , signal transduction , endocrinology , medicine , pituitary gland , adenoma , microbiology and biotechnology , downregulation and upregulation , genetics , hormone , cancer , gene , prostate cancer , long non coding rna
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.

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