Proteogenomic landscape and clinical characterization of GH-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors
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Published:2022-11-27
Issue:1
Volume:5
Page:
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ISSN:2399-3642
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Container-title:Communications Biology
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language:en
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Short-container-title:Commun Biol
Author:
Yamato Azusa, Nagano Hidekazu, Gao Yue, Matsuda Tatsuma, Hashimoto Naoko, Nakayama Akitoshi, Yamagata KazuyukiORCID, Yokoyama Masataka, Gong Yingbo, Shi Xiaoyan, Zhahara Siti Nurul, Kono Takashi, Taki Yuki, Furuki Naoto, Nishimura Motoi, Horiguchi KentaroORCID, Iwadate YasuoORCID, Fukuyo Masaki, Rahmutulla BahityarORCID, Kaneda AtsushiORCID, Hasegawa Yoshinori, Kawashima YusukeORCID, Ohara OsamuORCID, Ishikawa TetsuoORCID, Kawakami Eiryo, Nakamura Yasuhiro, Inoshita Naoko, Yamada Shozo, Fukuhara Noriaki, Nishioka Hiroshi, Tanaka TomoakiORCID
Abstract
AbstractThe clinical characteristics of growth hormone (GH)-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors (GHomas/somatotroph PitNETs) vary across patients. In this study, we aimed to integrate the genetic alterations, protein expression profiles, transcriptomes, and clinical characteristics of GHomas/somatotroph PitNETs to identify molecules associated with acromegaly characteristics. Targeted capture sequencing and copy number analysis of 36 genes and nontargeted proteomics analysis were performed on fresh-frozen samples from 121 sporadic GHomas/somatotroph PitNETs. 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 nontargeted proteomics 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 molecules associated with acromegaly that may affect medical treatment efficacy.
Funder
Ministry of Education, Culture, Sports, Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)
Reference43 articles.
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