Proteogenomic landscape and clinical characterization of GH-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors

Azusa Yamato, Hidekazu Nagano, Yue Gao, Tatsuma Matsuda, Naoko Hashimoto, Akitoshi Nakayama, Kazuyuki Yamagata, Masataka Yokoyama, Yingbo Gong, Xiaoyan Shi, Siti Nurul Zhahara, Takashi Kono, Yuki Taki, Naoto Furuki, Motoi Nishimura, Kentaro Horiguchi, Yasuo Iwadate, Masaki Fukuyo, Bahityar Rahmutulla, Atsushi KanedaYoshinori Hasegawa, Yusuke Kawashima, Osamu Ohara, Tetsuo Ishikawa, Eiryo Kawakami, Yasuhiro Nakamura, Naoko Inoshita, Shozo Yamada, Noriaki Fukuhara, Hiroshi Nishioka, Tomoaki Tanaka

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The 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.

Original languageEnglish
Article number1304
JournalCommunications biology
Volume5
Issue number1
DOIs
Publication statusPublished - 2022 Dec

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

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